FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationMon, 19 Dec 2011 11:41:45 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/19/t1324313272vuvtffxruiil3z0.htm/, Retrieved Thu, 16 May 2024 02:00:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=157519, Retrieved Thu, 16 May 2024 02:00:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact105

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [DEEL 3] [2011-12-19 16:41:45] [f914a0f804421ae312123c83c378984e] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
30	112285	24188	146283	144	145
28	84786	18273	98364	103	101
38	83123	14130	86146	98	98
30	101193	32287	96933	135	132
22	38361	8654	79234	61	60
26	68504	9245	42551	39	38
25	119182	33251	195663	150	144
18	22807	1271	6853	5	5
11	17140	5279	21529	28	28
26	116174	27101	95757	84	84
25	57635	16373	85584	80	79
38	66198	19716	143983	130	127
44	71701	17753	75851	82	78
30	57793	9028	59238	60	60
40	80444	18653	93163	131	131
34	53855	8828	96037	84	84
47	97668	29498	151511	140	133
30	133824	27563	136368	151	150
31	101481	18293	112642	91	91
23	99645	22530	94728	138	132
36	114789	15977	105499	150	136
36	99052	35082	121527	124	124
30	67654	16116	127766	119	118
25	65553	15849	98958	73	70
39	97500	16026	77900	110	107
34	69112	26569	85646	123	119
31	82753	24785	98579	90	89
31	85323	17569	130767	116	112
33	72654	23825	131741	113	108
25	30727	7869	53907	56	52
33	77873	14975	178812	115	112
35	117478	37791	146761	119	116
42	74007	9605	82036	129	123
43	90183	27295	163253	127	125
30	61542	2746	27032	27	27
33	101494	34461	171975	175	162
13	27570	8098	65990	35	32
32	55813	4787	86572	64	64
36	79215	24919	159676	96	92
0	1423	603	1929	0	0
28	55461	16329	85371	84	83
14	31081	12558	58391	41	41
17	22996	7784	31580	47	47
32	83122	28522	136815	126	120
30	70106	22265	120642	105	105
35	60578	14459	69107	80	79
20	39992	14526	50495	70	65
28	79892	22240	108016	73	70
28	49810	11802	46341	57	55
39	71570	7623	78348	40	39
34	100708	11912	79336	68	67
26	33032	7935	56968	21	21
39	82875	18220	93176	127	127
39	139077	19199	161632	154	152
33	71595	19918	87850	116	113
28	72260	21884	127969	102	99
4	5950	2694	15049	7	7
39	115762	15808	155135	148	141
18	32551	3597	25109	21	21
14	31701	5296	45824	35	35
29	80670	25239	102996	112	109
44	143558	29801	160604	137	133
21	117105	18450	158051	135	123
16	23789	7132	44547	26	26
28	120733	34861	162647	230	230
35	105195	35940	174141	181	166
28	73107	16688	60622	71	68
38	132068	24683	179566	147	147
23	149193	46230	184301	190	179
36	46821	10387	75661	64	61
32	87011	21436	96144	105	101
29	95260	30546	129847	107	108
25	55183	19746	117286	94	90
27	106671	15977	71180	116	114
36	73511	22583	109377	106	103
28	92945	17274	85298	143	142
23	78664	16469	73631	81	79
40	70054	14251	86767	89	88
23	22618	3007	23824	26	25
40	74011	16851	93487	84	83
28	83737	21113	82981	113	113
34	69094	17401	73815	120	118
33	93133	23958	94552	110	110
28	95536	23567	132190	134	129
34	225920	13065	128754	54	51
30	62133	15358	66363	96	93
33	61370	14587	67808	78	76
22	43836	12770	61724	51	49
38	106117	24021	131722	121	118
26	38692	9648	68580	38	38
35	84651	20537	106175	145	141
8	56622	7905	55792	59	58
24	15986	4527	25157	27	27
29	95364	30495	76669	91	91
20	26706	7117	57283	48	48
29	89691	17719	105805	68	63
45	67267	27056	129484	58	56
37	126846	33473	72413	150	144
33	41140	9758	87831	74	73
33	102860	21115	96971	181	168
25	51715	7236	71299	65	64
32	55801	13790	77494	97	97
29	111813	32902	120336	121	117
28	120293	25131	93913	99	100
28	138599	30910	136048	152	149
31	161647	35947	181248	188	187
52	115929	29848	146123	138	127
21	24266	6943	32036	40	37
24	162901	42705	186646	254	245
41	109825	31808	102255	87	87
33	129838	26675	168237	178	177
32	37510	8435	64219	51	49
19	43750	7409	19630	49	49
20	40652	14993	76825	73	73
31	87771	36867	115338	176	177
31	85872	33835	109427	94	94
32	89275	24164	118168	120	117
18	44418	12607	84845	66	60
23	192565	22609	153197	56	55
17	35232	5892	29877	39	39
20	40909	17014	63506	66	64
12	13294	5394	22445	27	26
17	32387	9178	47695	65	64
30	140867	6440	68370	58	58
31	120662	21916	146304	98	95
10	21233	4011	38233	25	25
13	44332	5818	42071	26	26
22	61056	18647	50517	77	76
42	101338	20556	103950	130	129
1	1168	238	5841	11	11
9	13497	70	2341	2	2
32	65567	22392	84396	101	101
11	25162	3913	24610	31	28
25	32334	12237	35753	36	36
36	40735	8388	55515	120	89
31	91413	22120	209056	195	193
0	855	338	6622	4	4
24	97068	11727	115814	89	84
13	44339	3704	11609	24	23
8	14116	3988	13155	39	39
13	10288	3030	18274	14	14
19	65622	13520	72875	78	78
18	16563	1421	10112	15	14
33	76643	20923	142775	106	101
40	110681	20237	68847	83	82
22	29011	3219	17659	24	24
38	92696	3769	20112	37	36
24	94785	12252	61023	77	75
8	8773	1888	13983	16	16
35	83209	14497	65176	56	55
43	93815	28864	132432	132	131
43	86687	21721	112494	144	131
14	34553	4821	45109	40	39
41	105547	33644	170875	153	144
38	103487	15923	180759	143	139
45	213688	42935	214921	220	211
31	71220	18864	100226	79	78
13	23517	4977	32043	50	50
28	56926	7785	54454	39	39
31	91721	17939	78876	95	90
40	115168	23436	170745	169	166
30	111194	325	6940	12	12
16	51009	13539	49025	63	57
37	135777	34538	122037	134	133
30	51513	12198	53782	69	69
35	74163	26924	127748	119	119
32	51633	12716	86839	119	119
27	75345	8172	44830	75	65
20	33416	10855	77395	63	61
18	83305	11932	89324	55	49
31	98952	14300	103300	103	101
31	102372	25515	112283	197	196
21	37238	2805	10901	16	15
39	103772	29402	120691	140	136
41	123969	16440	58106	89	89
13	27142	11221	57140	40	40
32	135400	28732	122422	125	123
18	21399	5250	25899	21	21
39	130115	28608	139296	167	163
14	24874	8092	52678	32	29
7	34988	4473	23853	36	35
17	45549	1572	17306	13	13
0	6023	2065	7953	5	5
30	64466	14817	89455	96	96
37	54990	16714	147866	151	151
0	1644	556	4245	6	6
5	6179	2089	21509	13	13
1	3926	2658	7670	3	3
16	32755	10695	66675	57	56
32	34777	1669	14336	23	23
24	73224	16267	53608	61	57
17	27114	7768	30059	21	14
11	20760	7252	29668	43	43
24	37636	6387	22097	20	20
22	65461	18715	96841	82	72
12	30080	7936	41907	90	87
19	24094	8643	27080	25	21
13	69008	7294	35885	60	56
17	54968	4570	41247	61	59
15	46090	7185	28313	85	82
16	27507	10058	36845	43	43
24	10672	2342	16548	25	25
15	34029	8509	36134	41	38
17	46300	13275	55764	26	25
18	24760	6816	28910	38	38
20	18779	1930	13339	12	12
16	21280	8086	25319	29	29
16	40662	10737	66956	49	47
18	28987	8033	47487	46	45
22	22827	7058	52785	41	40
8	18513	6782	44683	31	30
17	30594	5401	35619	41	41
18	24006	6521	21920	26	25
16	27913	10856	45608	23	23
23	42744	2154	7721	14	14
22	12934	6117	20634	16	16
13	22574	5238	29788	25	26
13	41385	4820	31931	21	21
16	18653	5615	37754	32	27
16	18472	4272	32505	9	9
20	30976	8702	40557	35	33
22	63339	15340	94238	42	42
17	25568	8030	44197	68	68
18	33747	9526	43228	32	32
17	4154	1278	4103	6	6
12	19474	4236	44144	68	67
7	35130	3023	32868	33	33
17	39067	7196	27640	84	77
14	13310	3394	14063	46	46
23	65892	6371	28990	30	30
17	4143	1574	4694	0	0
14	28579	9620	42648	36	36
15	51776	6978	64329	47	46
17	21152	4911	21928	20	18
21	38084	8645	25836	50	48
18	27717	8987	22779	30	29
18	32928	5544	40820	30	28
17	11342	3083	27530	34	34
17	19499	6909	32378	33	33
16	16380	3189	10824	34	34
15	36874	6745	39613	37	33
21	48259	16724	60865	83	80
16	16734	4850	19787	32	32
14	28207	7025	20107	30	30
15	30143	6047	36605	43	41
17	41369	7377	40961	41	41
15	45833	9078	48231	51	51
15	29156	4605	39725	19	18
10	35944	3238	21455	37	34
6	36278	8100	23430	33	31
22	45588	9653	62991	41	39
21	45097	8914	49363	54	54
1	3895	786	9604	14	14
18	28394	6700	24552	25	24
17	18632	5788	31493	25	24
4	2325	593	3439	8	8
10	25139	4506	19555	26	26
16	27975	6382	21228	20	19
16	14483	5621	23177	11	11
9	13127	3997	22094	14	14
16	5839	520	2342	3	1
17	24069	8891	38798	40	39
7	3738	999	3255	5	5
15	18625	7067	24261	38	37
14	36341	4639	18511	32	32
14	24548	5654	40798	41	38
18	21792	6928	28893	46	47
12	26263	1514	21425	47	47
16	23686	9238	50276	37	37
21	49303	8204	37643	51	51
19	25659	5926	30377	49	45
16	28904	5785	27126	21	21
1	2781	4	13	1	1
16	29236	5930	42097	44	42
10	19546	3710	24451	26	26
19	22818	705	14335	21	21
12	32689	443	5084	4	4
2	5752	2416	9927	10	10
14	22197	7747	43527	43	43
17	20055	5432	27184	34	34
19	25272	4913	21610	32	31
14	82206	2650	20484	20	19
11	32073	2370	20156	34	34
4	5444	775	6012	6	6
16	20154	5576	18475	12	11
20	36944	1352	12645	24	24
12	8019	3080	11017	16	16
15	30884	10205	37623	72	72
16	19540	6095	35873	27	21

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157519&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157519&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157519&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Multiple Linear Regression - Estimated Regression Equation
compendiums_reviewed[t] = + 11.1491455383075 + 9.41314714945717e-05totsize[t] + 2.58529158773761e-05totrevisions[t] + 4.96738930007607e-05totseconds[t] + 0.0782153840909152tothyperlinks[t] -0.035422649942548totblogs[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
compendiums_reviewed[t] =  +  11.1491455383075 +  9.41314714945717e-05totsize[t] +  2.58529158773761e-05totrevisions[t] +  4.96738930007607e-05totseconds[t] +  0.0782153840909152tothyperlinks[t] -0.035422649942548totblogs[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157519&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]compendiums_reviewed[t] =  +  11.1491455383075 +  9.41314714945717e-05totsize[t] +  2.58529158773761e-05totrevisions[t] +  4.96738930007607e-05totseconds[t] +  0.0782153840909152tothyperlinks[t] -0.035422649942548totblogs[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157519&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157519&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Estimated Regression Equation
compendiums_reviewed[t] = + 11.1491455383075 + 9.41314714945717e-05totsize[t] + 2.58529158773761e-05totrevisions[t] + 4.96738930007607e-05totseconds[t] + 0.0782153840909152tothyperlinks[t] -0.035422649942548totblogs[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)11.14914553830750.71342615.627600
totsize9.41314714945717e-051.9e-055.08731e-060
totrevisions2.58529158773761e-059.6e-050.27030.7871160.393558
totseconds4.96738930007607e-052e-052.43050.0156980.007849
tothyperlinks0.07821538409091520.1346310.5810.5617280.280864
totblogs-0.0354226499425480.13882-0.25520.7987780.399389

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & 11.1491455383075 & 0.713426 & 15.6276 & 0 & 0 \tabularnewline
totsize & 9.41314714945717e-05 & 1.9e-05 & 5.0873 & 1e-06 & 0 \tabularnewline
totrevisions & 2.58529158773761e-05 & 9.6e-05 & 0.2703 & 0.787116 & 0.393558 \tabularnewline
totseconds & 4.96738930007607e-05 & 2e-05 & 2.4305 & 0.015698 & 0.007849 \tabularnewline
tothyperlinks & 0.0782153840909152 & 0.134631 & 0.581 & 0.561728 & 0.280864 \tabularnewline
totblogs & -0.035422649942548 & 0.13882 & -0.2552 & 0.798778 & 0.399389 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157519&T=2

[TABLE]
[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.D.[/C][C]T-STATH0: parameter = 0[/C][C]2-tail p-value[/C][C]1-tail p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]11.1491455383075[/C][C]0.713426[/C][C]15.6276[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]totsize[/C][C]9.41314714945717e-05[/C][C]1.9e-05[/C][C]5.0873[/C][C]1e-06[/C][C]0[/C][/ROW]
[ROW][C]totrevisions[/C][C]2.58529158773761e-05[/C][C]9.6e-05[/C][C]0.2703[/C][C]0.787116[/C][C]0.393558[/C][/ROW]
[ROW][C]totseconds[/C][C]4.96738930007607e-05[/C][C]2e-05[/C][C]2.4305[/C][C]0.015698[/C][C]0.007849[/C][/ROW]
[ROW][C]tothyperlinks[/C][C]0.0782153840909152[/C][C]0.134631[/C][C]0.581[/C][C]0.561728[/C][C]0.280864[/C][/ROW]
[ROW][C]totblogs[/C][C]-0.035422649942548[/C][C]0.13882[/C][C]-0.2552[/C][C]0.798778[/C][C]0.399389[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157519&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157519&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)11.14914553830750.71342615.627600
totsize9.41314714945717e-051.9e-055.08731e-060
totrevisions2.58529158773761e-059.6e-050.27030.7871160.393558
totseconds4.96738930007607e-052e-052.43050.0156980.007849
tothyperlinks0.07821538409091520.1346310.5810.5617280.280864
totblogs-0.0354226499425480.13882-0.25520.7987780.399389






Multiple Linear Regression - Regression Statistics
Multiple R0.774342956850127
R-squared0.599607014823397
Adjusted R-squared0.59253293381321
F-TEST (value)84.7611179402537
F-TEST (DF numerator)5
F-TEST (DF denominator)283
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.76329456495832
Sum Squared Residuals12945.0294043877

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.774342956850127 \tabularnewline
R-squared & 0.599607014823397 \tabularnewline
Adjusted R-squared & 0.59253293381321 \tabularnewline
F-TEST (value) & 84.7611179402537 \tabularnewline
F-TEST (DF numerator) & 5 \tabularnewline
F-TEST (DF denominator) & 283 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 6.76329456495832 \tabularnewline
Sum Squared Residuals & 12945.0294043877 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157519&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.774342956850127[/C][/ROW]
[ROW][C]R-squared[/C][C]0.599607014823397[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.59253293381321[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]84.7611179402537[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]5[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]283[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]6.76329456495832[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]12945.0294043877[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157519&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157519&T=3

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Regression Statistics
Multiple R0.774342956850127
R-squared0.599607014823397
Adjusted R-squared0.59253293381321
F-TEST (value)84.7611179402537
F-TEST (DF numerator)5
F-TEST (DF denominator)283
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.76329456495832
Sum Squared Residuals12945.0294043877






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
13035.73720530157-5.73720530157001
22828.9672065405673-0.967206540567273
33827.811832677681610.1881673223184
43032.2076311582905-2.20763115829046
52221.56549472132880.43450527867123
62621.65455117166224.34544882833781
72539.5783468279304-14.5783468279304
81813.88323992424044.11676007575964
91115.1666623012088-4.16666230120876
102631.1366276214473-5.1366276214473
112524.70783452994640.292165470053581
123830.71169630278747.28830369721261
134425.775942249447818.2240577505522
143022.33283191741537.6671680825847
154029.437309138143510.5626908618565
163424.811946807599.18805319240999
174734.870469941597612.1295300584024
183037.7298344469989-7.72983444699889
193130.6641342500860.335865749913952
202331.9347839584074-8.93478395840737
213634.52282831580871.47717168419129
223632.72304627669893.27695372330112
233029.40855432981450.591445670185543
242525.8752553991594-0.875255399159393
253929.42434780978639.57565219021366
263428.00121305814885.99878694185117
273128.36314314033612.63685685966388
283131.2362886866997-0.236288686699698
293330.1608997353442.83910026465598
302519.4608141200315.53918587996899
313332.77631356540990.223686434590138
323535.6733236146367-0.673323614636672
334228.171696697213513.8283033027865
344333.95879396175639.04120603824366
353019.511365161628210.4886348383718
363338.085733114251-5.085733114251
371318.8357009643285-5.8357009643285
383223.56576651549648.43423348450364
393631.43152048030124.56847951969878
40011.3945048701168-11.3945048701168
412824.66264558000293.33735441999708
421419.0545171077088-5.05451710770882
431717.0949919999234-0.0949919999234175
443232.1114726517824-0.111472651782415
453028.8099365358921.19006346410798
463524.116904234592110.8830957654079
472020.970078669525-0.970078669525003
482827.84017867709330.159821322906743
492820.95491926852727.04508073147284
503923.72219391560815.277806084392
513427.8231542506546.17684574934603
522618.19210894578627.80789105421381
533929.48442325678749.51557674321259
543939.4268353635204-0.426835363520369
553327.8375032295625.16249677043802
562829.3446961259412-1.34469612594117
57412.8259671038808-8.82596710388084
583936.74211842988082.25788157011916
591816.452121201811.54787879818999
601418.0441265267032-4.04412652670318
612929.4104995455548-0.410499545554786
624439.41503515877764.58496484122244
632136.7024971776203-15.7024971776203
641616.8982561090917-0.898256109091717
652841.336817515682-13.336817515682
663538.90754550985-3.90754550984999
672824.61813130087663.38186869912339
683839.4293024286384-1.42930242863842
692344.0632992574992-21.0632992574992
703622.428388756026813.5716112439732
713229.3045765632832.69542343671703
722931.8992185696732-2.89921856967322
732526.844354030911-1.84435403091102
742730.1738859359676-3.17388593596761
753628.72815970290257.27184029709751
762830.7366457835742-2.73664578357418
772326.1742704649828-3.17427046498282
784026.265892209700913.7341077902991
792315.68741544326527.31258455673482
804026.825432913909413.1745670860906
812828.5348334536291-0.534833453629081
823426.97558382847597.02441617152406
833329.93924271892993.06075728107009
842833.2290970088595-5.2290970088595
853441.5658839375585-7.56588393755846
863024.90574432800485.09425567199519
873324.08007632788598.91992367211405
882220.92498057152841.07501942847161
893833.58644110681374.41355889318633
902620.07346884539055.92653115460951
913531.26917270580733.73082729419266
92822.0150248202784-14.0150248202784
932415.17601734002268.82398265997737
942928.61687036557310.383129634426871
952018.7465366702251.25346332977501
962928.39274458530550.607255414694472
974527.16536196511217.834638034888
983734.18320246044582.81679753955422
993322.838979701797110.1610202982029
1003334.4002994232743-1.40029942327427
1012522.56287555258562.4371244474144
1023224.75861136571777.24138863428235
1032933.8220494185896-4.82204941858961
1042831.9882946118446-3.98829461184457
1052838.3635843211003-10.3635843211003
1063144.378300706472-13.378300706472
1075236.386915459102515.6130845408975
1082117.02216677246613.97783322753393
1092448.0468969049762-24.0468969049762
1104131.11183574312719.88816425687288
1113340.0701301303696-7.07013013036957
1123220.341368855562211.6586311444378
1131918.53088416280540.469115837194613
1142022.3034573078685-2.30345730786855
1153133.5896644036006-2.58966440360057
1163129.56531876654111.43468123345889
1173231.28870315099190.711296849008123
1181822.9076427547165-4.9076427547165
1192339.9017880700199-16.9017880700199
1201717.7709344553238-0.770934455323768
1212021.4895874190002-1.48958741900022
1221214.8457369489494-2.84573694894941
1231719.6212062637824-2.62120626378242
1243030.4538389566509-0.453838956650914
1253134.641274794105-3.64127479410499
1261016.2205354229431-6.22053542294313
1271318.675035637472-5.67503563747195
1282223.2183552163317-1.21835521633172
1294231.981752402059110.0182475979409
130112.0261093756414-11.0261093756414
131912.6233197649926-3.62331976499263
1323226.41430624479555.58569375520445
1331116.2741612990578-5.27416129905781
1342517.82568379500187.17431620499818
1353624.191321703978611.8086782960214
1363139.125906075232-8.12590607523205
137011.7384776880464-11.7384776880464
1382430.3280751907441-6.32807519074407
1391317.0577125466643-4.05771254666428
140814.9033835126551-6.90338351265515
1411313.7027434509251-0.702743450925115
1421924.6335905993895-5.63359059938946
1431813.92459816232564.07540183767444
1443330.70991760959152.29008239040845
1454029.09801448908910.901985510911
1462215.8674310901076.13256890989299
1473822.589991209373615.4100087906264
1482426.7852827911449-2.78528279114485
149813.4030450351093-5.40304503510935
1503525.02588228384239.9741177161577
1514332.988784655859110.0112153441409
1524332.081334679375510.9186653206245
1531418.5141788355528-4.51417883555279
1544137.30835410261163.69164589738842
1553836.54223991629291.45776008370712
1564552.7830744819749-7.78307448197487
1573126.73554259081954.26445740918051
1581317.2228425766087-4.22284257660875
1592821.08279743596266.91720256403742
1603128.4072546713212.59274532867904
1614038.41577666521311.58422333478692
1623022.48265220454077.51734779545929
1631621.6444611512026-5.64446115120259
1643736.65464425795630.34535574204366
1653021.93775386688388.06224613311617
1663530.26435761255874.73564238744126
1673225.74414804223226.25585195776784
1682724.2433134703932.75668652960698
1692021.1865746916451-1.1865746916451
1701826.302451859627-8.30245185962705
1713130.44314966683030.556850333169691
1723135.4883346917363-4.48833469173632
1732115.98853220677615.01146779322391
1743933.80534923156525.19465076843481
1754129.93845643094911.061543569051
1761318.5442331186713-5.54423311867133
1773236.1384671550314-4.13846715503138
1781815.48434427711842.51565572288155
1793938.34411397122510.655886028774874
1801417.7921303336126-3.79213033361264
181717.31909000471-10.31909000471
1821716.89334265337290.10665734662711
183012.3785058041829-12.3785058041829
1843026.15216821085793.84783178914209
1853730.56432351062246.43567648937763
186011.7858939793508-11.7858939793508
187513.4095319504224-8.4095319504224
188112.0967997075582-11.0967997075582
1891620.2955341346459-4.2955341346459
1903216.162262054544915.8377379454551
1912423.87734322840860.122656771591363
1921716.54200522337020.457994776629842
1931116.6046128584039-5.60461285840387
1942416.81049886979117.18950113020887
1952226.468623286137-4.46862328613698
1961220.2250867984306-8.22508679843061
1971916.19727394036582.80272605963419
1981322.325343590619-9.32534359061898
1991721.1716132365186-4.17161323651857
2001520.8234855450406-5.82348554504062
2011617.6687707085961-1.66877070859612
2022414.10608606616819.89391393383188
2031518.228014342597-3.22801434259703
2041719.7686788338728-2.76867883387282
2051816.71825039142321.28174960857679
2062014.14284943766495.85715056233508
2071615.85999251668530.140007483314672
2081620.7479566429092-4.74795664290916
2091818.4481635534581-0.448163553458145
2102217.89231571044734.10768428955266
211816.6487119150618-8.64871191506177
2121717.6924718707433-0.692471870743256
2131815.81433797981932.1856620201807
2141617.3070563542914-1.30705635429139
2152316.21101874260736.78898125739268
2162214.23443913159177.76556086840826
2171315.9235685776649-2.92356857766492
2181317.6541720351623-4.65417203516228
2191616.4720128975584-0.472012897558393
2201614.99817023570841.00182976429162
2212017.8731491467982.12685085320195
2222223.9863857036982-1.98638570369821
2231718.8688408870196-1.8688408870196
2241818.0887457228673-0.0887457228673005
2251712.03377608525954.96622391474047
2261218.2299076705064-6.22990767050642
227717.5789792386542-10.5789792386542
2281720.2281519384412-3.22815193844121
2291415.1568099484826-1.15680994848262
2302320.24019356762562.75980643237438
2311711.8129939680465.18700603195396
2321417.7470645309289-3.74706453092885
2331521.4454512711645-6.44545127116449
2341715.28312720180761.71687279819244
2352118.45140366333782.54859633666224
2361816.44125397177041.55874602822962
2371817.77435083393210.225649166067936
2381715.11896446300431.88103553699572
2391716.18373443125170.816265568748337
2401614.76608716900621.23391283099378
2411518.4872810224901-3.48728102249012
2422122.8056667679307-1.80566676793067
2431615.20199303785670.798006962143291
2441416.2685036798107-2.26850367981073
2451517.8721287874366-2.87212878743657
2461719.023181774281-2.02318177428102
2471520.2764170165394-5.27641701653941
2481516.8344753970353-1.83447539703526
2491017.3716713789679-7.37167137896785
250617.4203205195833-11.4203205195833
2512220.64432485174541.35567514825461
2522120.38750542463750.612494575362519
253112.6122743581149-11.6122743581149
2541816.31996350090921.68003649909084
2551715.72226070821731.27773929178273
256411.8965023798642-7.89650237986419
2571015.7159939046404-5.71599390464039
2581615.89322149602760.106778503972433
2591614.27978277382081.72021722617925
260914.1847367394145-5.18473673941453
2611612.02778247635853.97221752364151
2621717.3190339172968-0.319033917296817
263711.902488234175-4.90248823417499
2641515.9517316170712-0.951731617071242
2651416.9787899467317-2.97878994673168
2661417.4934228234826-3.49342282348264
2671816.7478384776691.25216152233104
2681216.7359833513223-4.73598335132231
2691617.6983086169989-1.69830861699893
2702120.05451059505670.945489404943305
2711917.46514776560031.53485223439969
2721616.2655821473915-0.265582147391537
273111.4544670669548-10.4544670669548
2741618.0993285061419-2.09932850614188
2751015.4121410436646-5.41214104366458
2761914.92598643384584.07401356615423
2771214.6613750603365-2.66137506033654
278212.6740904844062-10.6740904844062
2791417.4411074593984-3.44110745939841
2801715.98267330655421.01732669344582
2811916.13329443206062.86670556793943
2821420.8646248682028-6.86462486820275
2831116.6856755825501-5.68567558255007
284412.2370291285397-8.23702912853966
2851614.65708770665331.34291229334667
2862016.31684376002463.68315623997543
2871213.215553814688-1.21555381468801
2881519.2700886455245-4.2700886455245
2891616.2959392988615-0.2959392988615

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 30 & 35.73720530157 & -5.73720530157001 \tabularnewline
2 & 28 & 28.9672065405673 & -0.967206540567273 \tabularnewline
3 & 38 & 27.8118326776816 & 10.1881673223184 \tabularnewline
4 & 30 & 32.2076311582905 & -2.20763115829046 \tabularnewline
5 & 22 & 21.5654947213288 & 0.43450527867123 \tabularnewline
6 & 26 & 21.6545511716622 & 4.34544882833781 \tabularnewline
7 & 25 & 39.5783468279304 & -14.5783468279304 \tabularnewline
8 & 18 & 13.8832399242404 & 4.11676007575964 \tabularnewline
9 & 11 & 15.1666623012088 & -4.16666230120876 \tabularnewline
10 & 26 & 31.1366276214473 & -5.1366276214473 \tabularnewline
11 & 25 & 24.7078345299464 & 0.292165470053581 \tabularnewline
12 & 38 & 30.7116963027874 & 7.28830369721261 \tabularnewline
13 & 44 & 25.7759422494478 & 18.2240577505522 \tabularnewline
14 & 30 & 22.3328319174153 & 7.6671680825847 \tabularnewline
15 & 40 & 29.4373091381435 & 10.5626908618565 \tabularnewline
16 & 34 & 24.81194680759 & 9.18805319240999 \tabularnewline
17 & 47 & 34.8704699415976 & 12.1295300584024 \tabularnewline
18 & 30 & 37.7298344469989 & -7.72983444699889 \tabularnewline
19 & 31 & 30.664134250086 & 0.335865749913952 \tabularnewline
20 & 23 & 31.9347839584074 & -8.93478395840737 \tabularnewline
21 & 36 & 34.5228283158087 & 1.47717168419129 \tabularnewline
22 & 36 & 32.7230462766989 & 3.27695372330112 \tabularnewline
23 & 30 & 29.4085543298145 & 0.591445670185543 \tabularnewline
24 & 25 & 25.8752553991594 & -0.875255399159393 \tabularnewline
25 & 39 & 29.4243478097863 & 9.57565219021366 \tabularnewline
26 & 34 & 28.0012130581488 & 5.99878694185117 \tabularnewline
27 & 31 & 28.3631431403361 & 2.63685685966388 \tabularnewline
28 & 31 & 31.2362886866997 & -0.236288686699698 \tabularnewline
29 & 33 & 30.160899735344 & 2.83910026465598 \tabularnewline
30 & 25 & 19.460814120031 & 5.53918587996899 \tabularnewline
31 & 33 & 32.7763135654099 & 0.223686434590138 \tabularnewline
32 & 35 & 35.6733236146367 & -0.673323614636672 \tabularnewline
33 & 42 & 28.1716966972135 & 13.8283033027865 \tabularnewline
34 & 43 & 33.9587939617563 & 9.04120603824366 \tabularnewline
35 & 30 & 19.5113651616282 & 10.4886348383718 \tabularnewline
36 & 33 & 38.085733114251 & -5.085733114251 \tabularnewline
37 & 13 & 18.8357009643285 & -5.8357009643285 \tabularnewline
38 & 32 & 23.5657665154964 & 8.43423348450364 \tabularnewline
39 & 36 & 31.4315204803012 & 4.56847951969878 \tabularnewline
40 & 0 & 11.3945048701168 & -11.3945048701168 \tabularnewline
41 & 28 & 24.6626455800029 & 3.33735441999708 \tabularnewline
42 & 14 & 19.0545171077088 & -5.05451710770882 \tabularnewline
43 & 17 & 17.0949919999234 & -0.0949919999234175 \tabularnewline
44 & 32 & 32.1114726517824 & -0.111472651782415 \tabularnewline
45 & 30 & 28.809936535892 & 1.19006346410798 \tabularnewline
46 & 35 & 24.1169042345921 & 10.8830957654079 \tabularnewline
47 & 20 & 20.970078669525 & -0.970078669525003 \tabularnewline
48 & 28 & 27.8401786770933 & 0.159821322906743 \tabularnewline
49 & 28 & 20.9549192685272 & 7.04508073147284 \tabularnewline
50 & 39 & 23.722193915608 & 15.277806084392 \tabularnewline
51 & 34 & 27.823154250654 & 6.17684574934603 \tabularnewline
52 & 26 & 18.1921089457862 & 7.80789105421381 \tabularnewline
53 & 39 & 29.4844232567874 & 9.51557674321259 \tabularnewline
54 & 39 & 39.4268353635204 & -0.426835363520369 \tabularnewline
55 & 33 & 27.837503229562 & 5.16249677043802 \tabularnewline
56 & 28 & 29.3446961259412 & -1.34469612594117 \tabularnewline
57 & 4 & 12.8259671038808 & -8.82596710388084 \tabularnewline
58 & 39 & 36.7421184298808 & 2.25788157011916 \tabularnewline
59 & 18 & 16.45212120181 & 1.54787879818999 \tabularnewline
60 & 14 & 18.0441265267032 & -4.04412652670318 \tabularnewline
61 & 29 & 29.4104995455548 & -0.410499545554786 \tabularnewline
62 & 44 & 39.4150351587776 & 4.58496484122244 \tabularnewline
63 & 21 & 36.7024971776203 & -15.7024971776203 \tabularnewline
64 & 16 & 16.8982561090917 & -0.898256109091717 \tabularnewline
65 & 28 & 41.336817515682 & -13.336817515682 \tabularnewline
66 & 35 & 38.90754550985 & -3.90754550984999 \tabularnewline
67 & 28 & 24.6181313008766 & 3.38186869912339 \tabularnewline
68 & 38 & 39.4293024286384 & -1.42930242863842 \tabularnewline
69 & 23 & 44.0632992574992 & -21.0632992574992 \tabularnewline
70 & 36 & 22.4283887560268 & 13.5716112439732 \tabularnewline
71 & 32 & 29.304576563283 & 2.69542343671703 \tabularnewline
72 & 29 & 31.8992185696732 & -2.89921856967322 \tabularnewline
73 & 25 & 26.844354030911 & -1.84435403091102 \tabularnewline
74 & 27 & 30.1738859359676 & -3.17388593596761 \tabularnewline
75 & 36 & 28.7281597029025 & 7.27184029709751 \tabularnewline
76 & 28 & 30.7366457835742 & -2.73664578357418 \tabularnewline
77 & 23 & 26.1742704649828 & -3.17427046498282 \tabularnewline
78 & 40 & 26.2658922097009 & 13.7341077902991 \tabularnewline
79 & 23 & 15.6874154432652 & 7.31258455673482 \tabularnewline
80 & 40 & 26.8254329139094 & 13.1745670860906 \tabularnewline
81 & 28 & 28.5348334536291 & -0.534833453629081 \tabularnewline
82 & 34 & 26.9755838284759 & 7.02441617152406 \tabularnewline
83 & 33 & 29.9392427189299 & 3.06075728107009 \tabularnewline
84 & 28 & 33.2290970088595 & -5.2290970088595 \tabularnewline
85 & 34 & 41.5658839375585 & -7.56588393755846 \tabularnewline
86 & 30 & 24.9057443280048 & 5.09425567199519 \tabularnewline
87 & 33 & 24.0800763278859 & 8.91992367211405 \tabularnewline
88 & 22 & 20.9249805715284 & 1.07501942847161 \tabularnewline
89 & 38 & 33.5864411068137 & 4.41355889318633 \tabularnewline
90 & 26 & 20.0734688453905 & 5.92653115460951 \tabularnewline
91 & 35 & 31.2691727058073 & 3.73082729419266 \tabularnewline
92 & 8 & 22.0150248202784 & -14.0150248202784 \tabularnewline
93 & 24 & 15.1760173400226 & 8.82398265997737 \tabularnewline
94 & 29 & 28.6168703655731 & 0.383129634426871 \tabularnewline
95 & 20 & 18.746536670225 & 1.25346332977501 \tabularnewline
96 & 29 & 28.3927445853055 & 0.607255414694472 \tabularnewline
97 & 45 & 27.165361965112 & 17.834638034888 \tabularnewline
98 & 37 & 34.1832024604458 & 2.81679753955422 \tabularnewline
99 & 33 & 22.8389797017971 & 10.1610202982029 \tabularnewline
100 & 33 & 34.4002994232743 & -1.40029942327427 \tabularnewline
101 & 25 & 22.5628755525856 & 2.4371244474144 \tabularnewline
102 & 32 & 24.7586113657177 & 7.24138863428235 \tabularnewline
103 & 29 & 33.8220494185896 & -4.82204941858961 \tabularnewline
104 & 28 & 31.9882946118446 & -3.98829461184457 \tabularnewline
105 & 28 & 38.3635843211003 & -10.3635843211003 \tabularnewline
106 & 31 & 44.378300706472 & -13.378300706472 \tabularnewline
107 & 52 & 36.3869154591025 & 15.6130845408975 \tabularnewline
108 & 21 & 17.0221667724661 & 3.97783322753393 \tabularnewline
109 & 24 & 48.0468969049762 & -24.0468969049762 \tabularnewline
110 & 41 & 31.1118357431271 & 9.88816425687288 \tabularnewline
111 & 33 & 40.0701301303696 & -7.07013013036957 \tabularnewline
112 & 32 & 20.3413688555622 & 11.6586311444378 \tabularnewline
113 & 19 & 18.5308841628054 & 0.469115837194613 \tabularnewline
114 & 20 & 22.3034573078685 & -2.30345730786855 \tabularnewline
115 & 31 & 33.5896644036006 & -2.58966440360057 \tabularnewline
116 & 31 & 29.5653187665411 & 1.43468123345889 \tabularnewline
117 & 32 & 31.2887031509919 & 0.711296849008123 \tabularnewline
118 & 18 & 22.9076427547165 & -4.9076427547165 \tabularnewline
119 & 23 & 39.9017880700199 & -16.9017880700199 \tabularnewline
120 & 17 & 17.7709344553238 & -0.770934455323768 \tabularnewline
121 & 20 & 21.4895874190002 & -1.48958741900022 \tabularnewline
122 & 12 & 14.8457369489494 & -2.84573694894941 \tabularnewline
123 & 17 & 19.6212062637824 & -2.62120626378242 \tabularnewline
124 & 30 & 30.4538389566509 & -0.453838956650914 \tabularnewline
125 & 31 & 34.641274794105 & -3.64127479410499 \tabularnewline
126 & 10 & 16.2205354229431 & -6.22053542294313 \tabularnewline
127 & 13 & 18.675035637472 & -5.67503563747195 \tabularnewline
128 & 22 & 23.2183552163317 & -1.21835521633172 \tabularnewline
129 & 42 & 31.9817524020591 & 10.0182475979409 \tabularnewline
130 & 1 & 12.0261093756414 & -11.0261093756414 \tabularnewline
131 & 9 & 12.6233197649926 & -3.62331976499263 \tabularnewline
132 & 32 & 26.4143062447955 & 5.58569375520445 \tabularnewline
133 & 11 & 16.2741612990578 & -5.27416129905781 \tabularnewline
134 & 25 & 17.8256837950018 & 7.17431620499818 \tabularnewline
135 & 36 & 24.1913217039786 & 11.8086782960214 \tabularnewline
136 & 31 & 39.125906075232 & -8.12590607523205 \tabularnewline
137 & 0 & 11.7384776880464 & -11.7384776880464 \tabularnewline
138 & 24 & 30.3280751907441 & -6.32807519074407 \tabularnewline
139 & 13 & 17.0577125466643 & -4.05771254666428 \tabularnewline
140 & 8 & 14.9033835126551 & -6.90338351265515 \tabularnewline
141 & 13 & 13.7027434509251 & -0.702743450925115 \tabularnewline
142 & 19 & 24.6335905993895 & -5.63359059938946 \tabularnewline
143 & 18 & 13.9245981623256 & 4.07540183767444 \tabularnewline
144 & 33 & 30.7099176095915 & 2.29008239040845 \tabularnewline
145 & 40 & 29.098014489089 & 10.901985510911 \tabularnewline
146 & 22 & 15.867431090107 & 6.13256890989299 \tabularnewline
147 & 38 & 22.5899912093736 & 15.4100087906264 \tabularnewline
148 & 24 & 26.7852827911449 & -2.78528279114485 \tabularnewline
149 & 8 & 13.4030450351093 & -5.40304503510935 \tabularnewline
150 & 35 & 25.0258822838423 & 9.9741177161577 \tabularnewline
151 & 43 & 32.9887846558591 & 10.0112153441409 \tabularnewline
152 & 43 & 32.0813346793755 & 10.9186653206245 \tabularnewline
153 & 14 & 18.5141788355528 & -4.51417883555279 \tabularnewline
154 & 41 & 37.3083541026116 & 3.69164589738842 \tabularnewline
155 & 38 & 36.5422399162929 & 1.45776008370712 \tabularnewline
156 & 45 & 52.7830744819749 & -7.78307448197487 \tabularnewline
157 & 31 & 26.7355425908195 & 4.26445740918051 \tabularnewline
158 & 13 & 17.2228425766087 & -4.22284257660875 \tabularnewline
159 & 28 & 21.0827974359626 & 6.91720256403742 \tabularnewline
160 & 31 & 28.407254671321 & 2.59274532867904 \tabularnewline
161 & 40 & 38.4157766652131 & 1.58422333478692 \tabularnewline
162 & 30 & 22.4826522045407 & 7.51734779545929 \tabularnewline
163 & 16 & 21.6444611512026 & -5.64446115120259 \tabularnewline
164 & 37 & 36.6546442579563 & 0.34535574204366 \tabularnewline
165 & 30 & 21.9377538668838 & 8.06224613311617 \tabularnewline
166 & 35 & 30.2643576125587 & 4.73564238744126 \tabularnewline
167 & 32 & 25.7441480422322 & 6.25585195776784 \tabularnewline
168 & 27 & 24.243313470393 & 2.75668652960698 \tabularnewline
169 & 20 & 21.1865746916451 & -1.1865746916451 \tabularnewline
170 & 18 & 26.302451859627 & -8.30245185962705 \tabularnewline
171 & 31 & 30.4431496668303 & 0.556850333169691 \tabularnewline
172 & 31 & 35.4883346917363 & -4.48833469173632 \tabularnewline
173 & 21 & 15.9885322067761 & 5.01146779322391 \tabularnewline
174 & 39 & 33.8053492315652 & 5.19465076843481 \tabularnewline
175 & 41 & 29.938456430949 & 11.061543569051 \tabularnewline
176 & 13 & 18.5442331186713 & -5.54423311867133 \tabularnewline
177 & 32 & 36.1384671550314 & -4.13846715503138 \tabularnewline
178 & 18 & 15.4843442771184 & 2.51565572288155 \tabularnewline
179 & 39 & 38.3441139712251 & 0.655886028774874 \tabularnewline
180 & 14 & 17.7921303336126 & -3.79213033361264 \tabularnewline
181 & 7 & 17.31909000471 & -10.31909000471 \tabularnewline
182 & 17 & 16.8933426533729 & 0.10665734662711 \tabularnewline
183 & 0 & 12.3785058041829 & -12.3785058041829 \tabularnewline
184 & 30 & 26.1521682108579 & 3.84783178914209 \tabularnewline
185 & 37 & 30.5643235106224 & 6.43567648937763 \tabularnewline
186 & 0 & 11.7858939793508 & -11.7858939793508 \tabularnewline
187 & 5 & 13.4095319504224 & -8.4095319504224 \tabularnewline
188 & 1 & 12.0967997075582 & -11.0967997075582 \tabularnewline
189 & 16 & 20.2955341346459 & -4.2955341346459 \tabularnewline
190 & 32 & 16.1622620545449 & 15.8377379454551 \tabularnewline
191 & 24 & 23.8773432284086 & 0.122656771591363 \tabularnewline
192 & 17 & 16.5420052233702 & 0.457994776629842 \tabularnewline
193 & 11 & 16.6046128584039 & -5.60461285840387 \tabularnewline
194 & 24 & 16.8104988697911 & 7.18950113020887 \tabularnewline
195 & 22 & 26.468623286137 & -4.46862328613698 \tabularnewline
196 & 12 & 20.2250867984306 & -8.22508679843061 \tabularnewline
197 & 19 & 16.1972739403658 & 2.80272605963419 \tabularnewline
198 & 13 & 22.325343590619 & -9.32534359061898 \tabularnewline
199 & 17 & 21.1716132365186 & -4.17161323651857 \tabularnewline
200 & 15 & 20.8234855450406 & -5.82348554504062 \tabularnewline
201 & 16 & 17.6687707085961 & -1.66877070859612 \tabularnewline
202 & 24 & 14.1060860661681 & 9.89391393383188 \tabularnewline
203 & 15 & 18.228014342597 & -3.22801434259703 \tabularnewline
204 & 17 & 19.7686788338728 & -2.76867883387282 \tabularnewline
205 & 18 & 16.7182503914232 & 1.28174960857679 \tabularnewline
206 & 20 & 14.1428494376649 & 5.85715056233508 \tabularnewline
207 & 16 & 15.8599925166853 & 0.140007483314672 \tabularnewline
208 & 16 & 20.7479566429092 & -4.74795664290916 \tabularnewline
209 & 18 & 18.4481635534581 & -0.448163553458145 \tabularnewline
210 & 22 & 17.8923157104473 & 4.10768428955266 \tabularnewline
211 & 8 & 16.6487119150618 & -8.64871191506177 \tabularnewline
212 & 17 & 17.6924718707433 & -0.692471870743256 \tabularnewline
213 & 18 & 15.8143379798193 & 2.1856620201807 \tabularnewline
214 & 16 & 17.3070563542914 & -1.30705635429139 \tabularnewline
215 & 23 & 16.2110187426073 & 6.78898125739268 \tabularnewline
216 & 22 & 14.2344391315917 & 7.76556086840826 \tabularnewline
217 & 13 & 15.9235685776649 & -2.92356857766492 \tabularnewline
218 & 13 & 17.6541720351623 & -4.65417203516228 \tabularnewline
219 & 16 & 16.4720128975584 & -0.472012897558393 \tabularnewline
220 & 16 & 14.9981702357084 & 1.00182976429162 \tabularnewline
221 & 20 & 17.873149146798 & 2.12685085320195 \tabularnewline
222 & 22 & 23.9863857036982 & -1.98638570369821 \tabularnewline
223 & 17 & 18.8688408870196 & -1.8688408870196 \tabularnewline
224 & 18 & 18.0887457228673 & -0.0887457228673005 \tabularnewline
225 & 17 & 12.0337760852595 & 4.96622391474047 \tabularnewline
226 & 12 & 18.2299076705064 & -6.22990767050642 \tabularnewline
227 & 7 & 17.5789792386542 & -10.5789792386542 \tabularnewline
228 & 17 & 20.2281519384412 & -3.22815193844121 \tabularnewline
229 & 14 & 15.1568099484826 & -1.15680994848262 \tabularnewline
230 & 23 & 20.2401935676256 & 2.75980643237438 \tabularnewline
231 & 17 & 11.812993968046 & 5.18700603195396 \tabularnewline
232 & 14 & 17.7470645309289 & -3.74706453092885 \tabularnewline
233 & 15 & 21.4454512711645 & -6.44545127116449 \tabularnewline
234 & 17 & 15.2831272018076 & 1.71687279819244 \tabularnewline
235 & 21 & 18.4514036633378 & 2.54859633666224 \tabularnewline
236 & 18 & 16.4412539717704 & 1.55874602822962 \tabularnewline
237 & 18 & 17.7743508339321 & 0.225649166067936 \tabularnewline
238 & 17 & 15.1189644630043 & 1.88103553699572 \tabularnewline
239 & 17 & 16.1837344312517 & 0.816265568748337 \tabularnewline
240 & 16 & 14.7660871690062 & 1.23391283099378 \tabularnewline
241 & 15 & 18.4872810224901 & -3.48728102249012 \tabularnewline
242 & 21 & 22.8056667679307 & -1.80566676793067 \tabularnewline
243 & 16 & 15.2019930378567 & 0.798006962143291 \tabularnewline
244 & 14 & 16.2685036798107 & -2.26850367981073 \tabularnewline
245 & 15 & 17.8721287874366 & -2.87212878743657 \tabularnewline
246 & 17 & 19.023181774281 & -2.02318177428102 \tabularnewline
247 & 15 & 20.2764170165394 & -5.27641701653941 \tabularnewline
248 & 15 & 16.8344753970353 & -1.83447539703526 \tabularnewline
249 & 10 & 17.3716713789679 & -7.37167137896785 \tabularnewline
250 & 6 & 17.4203205195833 & -11.4203205195833 \tabularnewline
251 & 22 & 20.6443248517454 & 1.35567514825461 \tabularnewline
252 & 21 & 20.3875054246375 & 0.612494575362519 \tabularnewline
253 & 1 & 12.6122743581149 & -11.6122743581149 \tabularnewline
254 & 18 & 16.3199635009092 & 1.68003649909084 \tabularnewline
255 & 17 & 15.7222607082173 & 1.27773929178273 \tabularnewline
256 & 4 & 11.8965023798642 & -7.89650237986419 \tabularnewline
257 & 10 & 15.7159939046404 & -5.71599390464039 \tabularnewline
258 & 16 & 15.8932214960276 & 0.106778503972433 \tabularnewline
259 & 16 & 14.2797827738208 & 1.72021722617925 \tabularnewline
260 & 9 & 14.1847367394145 & -5.18473673941453 \tabularnewline
261 & 16 & 12.0277824763585 & 3.97221752364151 \tabularnewline
262 & 17 & 17.3190339172968 & -0.319033917296817 \tabularnewline
263 & 7 & 11.902488234175 & -4.90248823417499 \tabularnewline
264 & 15 & 15.9517316170712 & -0.951731617071242 \tabularnewline
265 & 14 & 16.9787899467317 & -2.97878994673168 \tabularnewline
266 & 14 & 17.4934228234826 & -3.49342282348264 \tabularnewline
267 & 18 & 16.747838477669 & 1.25216152233104 \tabularnewline
268 & 12 & 16.7359833513223 & -4.73598335132231 \tabularnewline
269 & 16 & 17.6983086169989 & -1.69830861699893 \tabularnewline
270 & 21 & 20.0545105950567 & 0.945489404943305 \tabularnewline
271 & 19 & 17.4651477656003 & 1.53485223439969 \tabularnewline
272 & 16 & 16.2655821473915 & -0.265582147391537 \tabularnewline
273 & 1 & 11.4544670669548 & -10.4544670669548 \tabularnewline
274 & 16 & 18.0993285061419 & -2.09932850614188 \tabularnewline
275 & 10 & 15.4121410436646 & -5.41214104366458 \tabularnewline
276 & 19 & 14.9259864338458 & 4.07401356615423 \tabularnewline
277 & 12 & 14.6613750603365 & -2.66137506033654 \tabularnewline
278 & 2 & 12.6740904844062 & -10.6740904844062 \tabularnewline
279 & 14 & 17.4411074593984 & -3.44110745939841 \tabularnewline
280 & 17 & 15.9826733065542 & 1.01732669344582 \tabularnewline
281 & 19 & 16.1332944320606 & 2.86670556793943 \tabularnewline
282 & 14 & 20.8646248682028 & -6.86462486820275 \tabularnewline
283 & 11 & 16.6856755825501 & -5.68567558255007 \tabularnewline
284 & 4 & 12.2370291285397 & -8.23702912853966 \tabularnewline
285 & 16 & 14.6570877066533 & 1.34291229334667 \tabularnewline
286 & 20 & 16.3168437600246 & 3.68315623997543 \tabularnewline
287 & 12 & 13.215553814688 & -1.21555381468801 \tabularnewline
288 & 15 & 19.2700886455245 & -4.2700886455245 \tabularnewline
289 & 16 & 16.2959392988615 & -0.2959392988615 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157519&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]30[/C][C]35.73720530157[/C][C]-5.73720530157001[/C][/ROW]
[ROW][C]2[/C][C]28[/C][C]28.9672065405673[/C][C]-0.967206540567273[/C][/ROW]
[ROW][C]3[/C][C]38[/C][C]27.8118326776816[/C][C]10.1881673223184[/C][/ROW]
[ROW][C]4[/C][C]30[/C][C]32.2076311582905[/C][C]-2.20763115829046[/C][/ROW]
[ROW][C]5[/C][C]22[/C][C]21.5654947213288[/C][C]0.43450527867123[/C][/ROW]
[ROW][C]6[/C][C]26[/C][C]21.6545511716622[/C][C]4.34544882833781[/C][/ROW]
[ROW][C]7[/C][C]25[/C][C]39.5783468279304[/C][C]-14.5783468279304[/C][/ROW]
[ROW][C]8[/C][C]18[/C][C]13.8832399242404[/C][C]4.11676007575964[/C][/ROW]
[ROW][C]9[/C][C]11[/C][C]15.1666623012088[/C][C]-4.16666230120876[/C][/ROW]
[ROW][C]10[/C][C]26[/C][C]31.1366276214473[/C][C]-5.1366276214473[/C][/ROW]
[ROW][C]11[/C][C]25[/C][C]24.7078345299464[/C][C]0.292165470053581[/C][/ROW]
[ROW][C]12[/C][C]38[/C][C]30.7116963027874[/C][C]7.28830369721261[/C][/ROW]
[ROW][C]13[/C][C]44[/C][C]25.7759422494478[/C][C]18.2240577505522[/C][/ROW]
[ROW][C]14[/C][C]30[/C][C]22.3328319174153[/C][C]7.6671680825847[/C][/ROW]
[ROW][C]15[/C][C]40[/C][C]29.4373091381435[/C][C]10.5626908618565[/C][/ROW]
[ROW][C]16[/C][C]34[/C][C]24.81194680759[/C][C]9.18805319240999[/C][/ROW]
[ROW][C]17[/C][C]47[/C][C]34.8704699415976[/C][C]12.1295300584024[/C][/ROW]
[ROW][C]18[/C][C]30[/C][C]37.7298344469989[/C][C]-7.72983444699889[/C][/ROW]
[ROW][C]19[/C][C]31[/C][C]30.664134250086[/C][C]0.335865749913952[/C][/ROW]
[ROW][C]20[/C][C]23[/C][C]31.9347839584074[/C][C]-8.93478395840737[/C][/ROW]
[ROW][C]21[/C][C]36[/C][C]34.5228283158087[/C][C]1.47717168419129[/C][/ROW]
[ROW][C]22[/C][C]36[/C][C]32.7230462766989[/C][C]3.27695372330112[/C][/ROW]
[ROW][C]23[/C][C]30[/C][C]29.4085543298145[/C][C]0.591445670185543[/C][/ROW]
[ROW][C]24[/C][C]25[/C][C]25.8752553991594[/C][C]-0.875255399159393[/C][/ROW]
[ROW][C]25[/C][C]39[/C][C]29.4243478097863[/C][C]9.57565219021366[/C][/ROW]
[ROW][C]26[/C][C]34[/C][C]28.0012130581488[/C][C]5.99878694185117[/C][/ROW]
[ROW][C]27[/C][C]31[/C][C]28.3631431403361[/C][C]2.63685685966388[/C][/ROW]
[ROW][C]28[/C][C]31[/C][C]31.2362886866997[/C][C]-0.236288686699698[/C][/ROW]
[ROW][C]29[/C][C]33[/C][C]30.160899735344[/C][C]2.83910026465598[/C][/ROW]
[ROW][C]30[/C][C]25[/C][C]19.460814120031[/C][C]5.53918587996899[/C][/ROW]
[ROW][C]31[/C][C]33[/C][C]32.7763135654099[/C][C]0.223686434590138[/C][/ROW]
[ROW][C]32[/C][C]35[/C][C]35.6733236146367[/C][C]-0.673323614636672[/C][/ROW]
[ROW][C]33[/C][C]42[/C][C]28.1716966972135[/C][C]13.8283033027865[/C][/ROW]
[ROW][C]34[/C][C]43[/C][C]33.9587939617563[/C][C]9.04120603824366[/C][/ROW]
[ROW][C]35[/C][C]30[/C][C]19.5113651616282[/C][C]10.4886348383718[/C][/ROW]
[ROW][C]36[/C][C]33[/C][C]38.085733114251[/C][C]-5.085733114251[/C][/ROW]
[ROW][C]37[/C][C]13[/C][C]18.8357009643285[/C][C]-5.8357009643285[/C][/ROW]
[ROW][C]38[/C][C]32[/C][C]23.5657665154964[/C][C]8.43423348450364[/C][/ROW]
[ROW][C]39[/C][C]36[/C][C]31.4315204803012[/C][C]4.56847951969878[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]11.3945048701168[/C][C]-11.3945048701168[/C][/ROW]
[ROW][C]41[/C][C]28[/C][C]24.6626455800029[/C][C]3.33735441999708[/C][/ROW]
[ROW][C]42[/C][C]14[/C][C]19.0545171077088[/C][C]-5.05451710770882[/C][/ROW]
[ROW][C]43[/C][C]17[/C][C]17.0949919999234[/C][C]-0.0949919999234175[/C][/ROW]
[ROW][C]44[/C][C]32[/C][C]32.1114726517824[/C][C]-0.111472651782415[/C][/ROW]
[ROW][C]45[/C][C]30[/C][C]28.809936535892[/C][C]1.19006346410798[/C][/ROW]
[ROW][C]46[/C][C]35[/C][C]24.1169042345921[/C][C]10.8830957654079[/C][/ROW]
[ROW][C]47[/C][C]20[/C][C]20.970078669525[/C][C]-0.970078669525003[/C][/ROW]
[ROW][C]48[/C][C]28[/C][C]27.8401786770933[/C][C]0.159821322906743[/C][/ROW]
[ROW][C]49[/C][C]28[/C][C]20.9549192685272[/C][C]7.04508073147284[/C][/ROW]
[ROW][C]50[/C][C]39[/C][C]23.722193915608[/C][C]15.277806084392[/C][/ROW]
[ROW][C]51[/C][C]34[/C][C]27.823154250654[/C][C]6.17684574934603[/C][/ROW]
[ROW][C]52[/C][C]26[/C][C]18.1921089457862[/C][C]7.80789105421381[/C][/ROW]
[ROW][C]53[/C][C]39[/C][C]29.4844232567874[/C][C]9.51557674321259[/C][/ROW]
[ROW][C]54[/C][C]39[/C][C]39.4268353635204[/C][C]-0.426835363520369[/C][/ROW]
[ROW][C]55[/C][C]33[/C][C]27.837503229562[/C][C]5.16249677043802[/C][/ROW]
[ROW][C]56[/C][C]28[/C][C]29.3446961259412[/C][C]-1.34469612594117[/C][/ROW]
[ROW][C]57[/C][C]4[/C][C]12.8259671038808[/C][C]-8.82596710388084[/C][/ROW]
[ROW][C]58[/C][C]39[/C][C]36.7421184298808[/C][C]2.25788157011916[/C][/ROW]
[ROW][C]59[/C][C]18[/C][C]16.45212120181[/C][C]1.54787879818999[/C][/ROW]
[ROW][C]60[/C][C]14[/C][C]18.0441265267032[/C][C]-4.04412652670318[/C][/ROW]
[ROW][C]61[/C][C]29[/C][C]29.4104995455548[/C][C]-0.410499545554786[/C][/ROW]
[ROW][C]62[/C][C]44[/C][C]39.4150351587776[/C][C]4.58496484122244[/C][/ROW]
[ROW][C]63[/C][C]21[/C][C]36.7024971776203[/C][C]-15.7024971776203[/C][/ROW]
[ROW][C]64[/C][C]16[/C][C]16.8982561090917[/C][C]-0.898256109091717[/C][/ROW]
[ROW][C]65[/C][C]28[/C][C]41.336817515682[/C][C]-13.336817515682[/C][/ROW]
[ROW][C]66[/C][C]35[/C][C]38.90754550985[/C][C]-3.90754550984999[/C][/ROW]
[ROW][C]67[/C][C]28[/C][C]24.6181313008766[/C][C]3.38186869912339[/C][/ROW]
[ROW][C]68[/C][C]38[/C][C]39.4293024286384[/C][C]-1.42930242863842[/C][/ROW]
[ROW][C]69[/C][C]23[/C][C]44.0632992574992[/C][C]-21.0632992574992[/C][/ROW]
[ROW][C]70[/C][C]36[/C][C]22.4283887560268[/C][C]13.5716112439732[/C][/ROW]
[ROW][C]71[/C][C]32[/C][C]29.304576563283[/C][C]2.69542343671703[/C][/ROW]
[ROW][C]72[/C][C]29[/C][C]31.8992185696732[/C][C]-2.89921856967322[/C][/ROW]
[ROW][C]73[/C][C]25[/C][C]26.844354030911[/C][C]-1.84435403091102[/C][/ROW]
[ROW][C]74[/C][C]27[/C][C]30.1738859359676[/C][C]-3.17388593596761[/C][/ROW]
[ROW][C]75[/C][C]36[/C][C]28.7281597029025[/C][C]7.27184029709751[/C][/ROW]
[ROW][C]76[/C][C]28[/C][C]30.7366457835742[/C][C]-2.73664578357418[/C][/ROW]
[ROW][C]77[/C][C]23[/C][C]26.1742704649828[/C][C]-3.17427046498282[/C][/ROW]
[ROW][C]78[/C][C]40[/C][C]26.2658922097009[/C][C]13.7341077902991[/C][/ROW]
[ROW][C]79[/C][C]23[/C][C]15.6874154432652[/C][C]7.31258455673482[/C][/ROW]
[ROW][C]80[/C][C]40[/C][C]26.8254329139094[/C][C]13.1745670860906[/C][/ROW]
[ROW][C]81[/C][C]28[/C][C]28.5348334536291[/C][C]-0.534833453629081[/C][/ROW]
[ROW][C]82[/C][C]34[/C][C]26.9755838284759[/C][C]7.02441617152406[/C][/ROW]
[ROW][C]83[/C][C]33[/C][C]29.9392427189299[/C][C]3.06075728107009[/C][/ROW]
[ROW][C]84[/C][C]28[/C][C]33.2290970088595[/C][C]-5.2290970088595[/C][/ROW]
[ROW][C]85[/C][C]34[/C][C]41.5658839375585[/C][C]-7.56588393755846[/C][/ROW]
[ROW][C]86[/C][C]30[/C][C]24.9057443280048[/C][C]5.09425567199519[/C][/ROW]
[ROW][C]87[/C][C]33[/C][C]24.0800763278859[/C][C]8.91992367211405[/C][/ROW]
[ROW][C]88[/C][C]22[/C][C]20.9249805715284[/C][C]1.07501942847161[/C][/ROW]
[ROW][C]89[/C][C]38[/C][C]33.5864411068137[/C][C]4.41355889318633[/C][/ROW]
[ROW][C]90[/C][C]26[/C][C]20.0734688453905[/C][C]5.92653115460951[/C][/ROW]
[ROW][C]91[/C][C]35[/C][C]31.2691727058073[/C][C]3.73082729419266[/C][/ROW]
[ROW][C]92[/C][C]8[/C][C]22.0150248202784[/C][C]-14.0150248202784[/C][/ROW]
[ROW][C]93[/C][C]24[/C][C]15.1760173400226[/C][C]8.82398265997737[/C][/ROW]
[ROW][C]94[/C][C]29[/C][C]28.6168703655731[/C][C]0.383129634426871[/C][/ROW]
[ROW][C]95[/C][C]20[/C][C]18.746536670225[/C][C]1.25346332977501[/C][/ROW]
[ROW][C]96[/C][C]29[/C][C]28.3927445853055[/C][C]0.607255414694472[/C][/ROW]
[ROW][C]97[/C][C]45[/C][C]27.165361965112[/C][C]17.834638034888[/C][/ROW]
[ROW][C]98[/C][C]37[/C][C]34.1832024604458[/C][C]2.81679753955422[/C][/ROW]
[ROW][C]99[/C][C]33[/C][C]22.8389797017971[/C][C]10.1610202982029[/C][/ROW]
[ROW][C]100[/C][C]33[/C][C]34.4002994232743[/C][C]-1.40029942327427[/C][/ROW]
[ROW][C]101[/C][C]25[/C][C]22.5628755525856[/C][C]2.4371244474144[/C][/ROW]
[ROW][C]102[/C][C]32[/C][C]24.7586113657177[/C][C]7.24138863428235[/C][/ROW]
[ROW][C]103[/C][C]29[/C][C]33.8220494185896[/C][C]-4.82204941858961[/C][/ROW]
[ROW][C]104[/C][C]28[/C][C]31.9882946118446[/C][C]-3.98829461184457[/C][/ROW]
[ROW][C]105[/C][C]28[/C][C]38.3635843211003[/C][C]-10.3635843211003[/C][/ROW]
[ROW][C]106[/C][C]31[/C][C]44.378300706472[/C][C]-13.378300706472[/C][/ROW]
[ROW][C]107[/C][C]52[/C][C]36.3869154591025[/C][C]15.6130845408975[/C][/ROW]
[ROW][C]108[/C][C]21[/C][C]17.0221667724661[/C][C]3.97783322753393[/C][/ROW]
[ROW][C]109[/C][C]24[/C][C]48.0468969049762[/C][C]-24.0468969049762[/C][/ROW]
[ROW][C]110[/C][C]41[/C][C]31.1118357431271[/C][C]9.88816425687288[/C][/ROW]
[ROW][C]111[/C][C]33[/C][C]40.0701301303696[/C][C]-7.07013013036957[/C][/ROW]
[ROW][C]112[/C][C]32[/C][C]20.3413688555622[/C][C]11.6586311444378[/C][/ROW]
[ROW][C]113[/C][C]19[/C][C]18.5308841628054[/C][C]0.469115837194613[/C][/ROW]
[ROW][C]114[/C][C]20[/C][C]22.3034573078685[/C][C]-2.30345730786855[/C][/ROW]
[ROW][C]115[/C][C]31[/C][C]33.5896644036006[/C][C]-2.58966440360057[/C][/ROW]
[ROW][C]116[/C][C]31[/C][C]29.5653187665411[/C][C]1.43468123345889[/C][/ROW]
[ROW][C]117[/C][C]32[/C][C]31.2887031509919[/C][C]0.711296849008123[/C][/ROW]
[ROW][C]118[/C][C]18[/C][C]22.9076427547165[/C][C]-4.9076427547165[/C][/ROW]
[ROW][C]119[/C][C]23[/C][C]39.9017880700199[/C][C]-16.9017880700199[/C][/ROW]
[ROW][C]120[/C][C]17[/C][C]17.7709344553238[/C][C]-0.770934455323768[/C][/ROW]
[ROW][C]121[/C][C]20[/C][C]21.4895874190002[/C][C]-1.48958741900022[/C][/ROW]
[ROW][C]122[/C][C]12[/C][C]14.8457369489494[/C][C]-2.84573694894941[/C][/ROW]
[ROW][C]123[/C][C]17[/C][C]19.6212062637824[/C][C]-2.62120626378242[/C][/ROW]
[ROW][C]124[/C][C]30[/C][C]30.4538389566509[/C][C]-0.453838956650914[/C][/ROW]
[ROW][C]125[/C][C]31[/C][C]34.641274794105[/C][C]-3.64127479410499[/C][/ROW]
[ROW][C]126[/C][C]10[/C][C]16.2205354229431[/C][C]-6.22053542294313[/C][/ROW]
[ROW][C]127[/C][C]13[/C][C]18.675035637472[/C][C]-5.67503563747195[/C][/ROW]
[ROW][C]128[/C][C]22[/C][C]23.2183552163317[/C][C]-1.21835521633172[/C][/ROW]
[ROW][C]129[/C][C]42[/C][C]31.9817524020591[/C][C]10.0182475979409[/C][/ROW]
[ROW][C]130[/C][C]1[/C][C]12.0261093756414[/C][C]-11.0261093756414[/C][/ROW]
[ROW][C]131[/C][C]9[/C][C]12.6233197649926[/C][C]-3.62331976499263[/C][/ROW]
[ROW][C]132[/C][C]32[/C][C]26.4143062447955[/C][C]5.58569375520445[/C][/ROW]
[ROW][C]133[/C][C]11[/C][C]16.2741612990578[/C][C]-5.27416129905781[/C][/ROW]
[ROW][C]134[/C][C]25[/C][C]17.8256837950018[/C][C]7.17431620499818[/C][/ROW]
[ROW][C]135[/C][C]36[/C][C]24.1913217039786[/C][C]11.8086782960214[/C][/ROW]
[ROW][C]136[/C][C]31[/C][C]39.125906075232[/C][C]-8.12590607523205[/C][/ROW]
[ROW][C]137[/C][C]0[/C][C]11.7384776880464[/C][C]-11.7384776880464[/C][/ROW]
[ROW][C]138[/C][C]24[/C][C]30.3280751907441[/C][C]-6.32807519074407[/C][/ROW]
[ROW][C]139[/C][C]13[/C][C]17.0577125466643[/C][C]-4.05771254666428[/C][/ROW]
[ROW][C]140[/C][C]8[/C][C]14.9033835126551[/C][C]-6.90338351265515[/C][/ROW]
[ROW][C]141[/C][C]13[/C][C]13.7027434509251[/C][C]-0.702743450925115[/C][/ROW]
[ROW][C]142[/C][C]19[/C][C]24.6335905993895[/C][C]-5.63359059938946[/C][/ROW]
[ROW][C]143[/C][C]18[/C][C]13.9245981623256[/C][C]4.07540183767444[/C][/ROW]
[ROW][C]144[/C][C]33[/C][C]30.7099176095915[/C][C]2.29008239040845[/C][/ROW]
[ROW][C]145[/C][C]40[/C][C]29.098014489089[/C][C]10.901985510911[/C][/ROW]
[ROW][C]146[/C][C]22[/C][C]15.867431090107[/C][C]6.13256890989299[/C][/ROW]
[ROW][C]147[/C][C]38[/C][C]22.5899912093736[/C][C]15.4100087906264[/C][/ROW]
[ROW][C]148[/C][C]24[/C][C]26.7852827911449[/C][C]-2.78528279114485[/C][/ROW]
[ROW][C]149[/C][C]8[/C][C]13.4030450351093[/C][C]-5.40304503510935[/C][/ROW]
[ROW][C]150[/C][C]35[/C][C]25.0258822838423[/C][C]9.9741177161577[/C][/ROW]
[ROW][C]151[/C][C]43[/C][C]32.9887846558591[/C][C]10.0112153441409[/C][/ROW]
[ROW][C]152[/C][C]43[/C][C]32.0813346793755[/C][C]10.9186653206245[/C][/ROW]
[ROW][C]153[/C][C]14[/C][C]18.5141788355528[/C][C]-4.51417883555279[/C][/ROW]
[ROW][C]154[/C][C]41[/C][C]37.3083541026116[/C][C]3.69164589738842[/C][/ROW]
[ROW][C]155[/C][C]38[/C][C]36.5422399162929[/C][C]1.45776008370712[/C][/ROW]
[ROW][C]156[/C][C]45[/C][C]52.7830744819749[/C][C]-7.78307448197487[/C][/ROW]
[ROW][C]157[/C][C]31[/C][C]26.7355425908195[/C][C]4.26445740918051[/C][/ROW]
[ROW][C]158[/C][C]13[/C][C]17.2228425766087[/C][C]-4.22284257660875[/C][/ROW]
[ROW][C]159[/C][C]28[/C][C]21.0827974359626[/C][C]6.91720256403742[/C][/ROW]
[ROW][C]160[/C][C]31[/C][C]28.407254671321[/C][C]2.59274532867904[/C][/ROW]
[ROW][C]161[/C][C]40[/C][C]38.4157766652131[/C][C]1.58422333478692[/C][/ROW]
[ROW][C]162[/C][C]30[/C][C]22.4826522045407[/C][C]7.51734779545929[/C][/ROW]
[ROW][C]163[/C][C]16[/C][C]21.6444611512026[/C][C]-5.64446115120259[/C][/ROW]
[ROW][C]164[/C][C]37[/C][C]36.6546442579563[/C][C]0.34535574204366[/C][/ROW]
[ROW][C]165[/C][C]30[/C][C]21.9377538668838[/C][C]8.06224613311617[/C][/ROW]
[ROW][C]166[/C][C]35[/C][C]30.2643576125587[/C][C]4.73564238744126[/C][/ROW]
[ROW][C]167[/C][C]32[/C][C]25.7441480422322[/C][C]6.25585195776784[/C][/ROW]
[ROW][C]168[/C][C]27[/C][C]24.243313470393[/C][C]2.75668652960698[/C][/ROW]
[ROW][C]169[/C][C]20[/C][C]21.1865746916451[/C][C]-1.1865746916451[/C][/ROW]
[ROW][C]170[/C][C]18[/C][C]26.302451859627[/C][C]-8.30245185962705[/C][/ROW]
[ROW][C]171[/C][C]31[/C][C]30.4431496668303[/C][C]0.556850333169691[/C][/ROW]
[ROW][C]172[/C][C]31[/C][C]35.4883346917363[/C][C]-4.48833469173632[/C][/ROW]
[ROW][C]173[/C][C]21[/C][C]15.9885322067761[/C][C]5.01146779322391[/C][/ROW]
[ROW][C]174[/C][C]39[/C][C]33.8053492315652[/C][C]5.19465076843481[/C][/ROW]
[ROW][C]175[/C][C]41[/C][C]29.938456430949[/C][C]11.061543569051[/C][/ROW]
[ROW][C]176[/C][C]13[/C][C]18.5442331186713[/C][C]-5.54423311867133[/C][/ROW]
[ROW][C]177[/C][C]32[/C][C]36.1384671550314[/C][C]-4.13846715503138[/C][/ROW]
[ROW][C]178[/C][C]18[/C][C]15.4843442771184[/C][C]2.51565572288155[/C][/ROW]
[ROW][C]179[/C][C]39[/C][C]38.3441139712251[/C][C]0.655886028774874[/C][/ROW]
[ROW][C]180[/C][C]14[/C][C]17.7921303336126[/C][C]-3.79213033361264[/C][/ROW]
[ROW][C]181[/C][C]7[/C][C]17.31909000471[/C][C]-10.31909000471[/C][/ROW]
[ROW][C]182[/C][C]17[/C][C]16.8933426533729[/C][C]0.10665734662711[/C][/ROW]
[ROW][C]183[/C][C]0[/C][C]12.3785058041829[/C][C]-12.3785058041829[/C][/ROW]
[ROW][C]184[/C][C]30[/C][C]26.1521682108579[/C][C]3.84783178914209[/C][/ROW]
[ROW][C]185[/C][C]37[/C][C]30.5643235106224[/C][C]6.43567648937763[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]11.7858939793508[/C][C]-11.7858939793508[/C][/ROW]
[ROW][C]187[/C][C]5[/C][C]13.4095319504224[/C][C]-8.4095319504224[/C][/ROW]
[ROW][C]188[/C][C]1[/C][C]12.0967997075582[/C][C]-11.0967997075582[/C][/ROW]
[ROW][C]189[/C][C]16[/C][C]20.2955341346459[/C][C]-4.2955341346459[/C][/ROW]
[ROW][C]190[/C][C]32[/C][C]16.1622620545449[/C][C]15.8377379454551[/C][/ROW]
[ROW][C]191[/C][C]24[/C][C]23.8773432284086[/C][C]0.122656771591363[/C][/ROW]
[ROW][C]192[/C][C]17[/C][C]16.5420052233702[/C][C]0.457994776629842[/C][/ROW]
[ROW][C]193[/C][C]11[/C][C]16.6046128584039[/C][C]-5.60461285840387[/C][/ROW]
[ROW][C]194[/C][C]24[/C][C]16.8104988697911[/C][C]7.18950113020887[/C][/ROW]
[ROW][C]195[/C][C]22[/C][C]26.468623286137[/C][C]-4.46862328613698[/C][/ROW]
[ROW][C]196[/C][C]12[/C][C]20.2250867984306[/C][C]-8.22508679843061[/C][/ROW]
[ROW][C]197[/C][C]19[/C][C]16.1972739403658[/C][C]2.80272605963419[/C][/ROW]
[ROW][C]198[/C][C]13[/C][C]22.325343590619[/C][C]-9.32534359061898[/C][/ROW]
[ROW][C]199[/C][C]17[/C][C]21.1716132365186[/C][C]-4.17161323651857[/C][/ROW]
[ROW][C]200[/C][C]15[/C][C]20.8234855450406[/C][C]-5.82348554504062[/C][/ROW]
[ROW][C]201[/C][C]16[/C][C]17.6687707085961[/C][C]-1.66877070859612[/C][/ROW]
[ROW][C]202[/C][C]24[/C][C]14.1060860661681[/C][C]9.89391393383188[/C][/ROW]
[ROW][C]203[/C][C]15[/C][C]18.228014342597[/C][C]-3.22801434259703[/C][/ROW]
[ROW][C]204[/C][C]17[/C][C]19.7686788338728[/C][C]-2.76867883387282[/C][/ROW]
[ROW][C]205[/C][C]18[/C][C]16.7182503914232[/C][C]1.28174960857679[/C][/ROW]
[ROW][C]206[/C][C]20[/C][C]14.1428494376649[/C][C]5.85715056233508[/C][/ROW]
[ROW][C]207[/C][C]16[/C][C]15.8599925166853[/C][C]0.140007483314672[/C][/ROW]
[ROW][C]208[/C][C]16[/C][C]20.7479566429092[/C][C]-4.74795664290916[/C][/ROW]
[ROW][C]209[/C][C]18[/C][C]18.4481635534581[/C][C]-0.448163553458145[/C][/ROW]
[ROW][C]210[/C][C]22[/C][C]17.8923157104473[/C][C]4.10768428955266[/C][/ROW]
[ROW][C]211[/C][C]8[/C][C]16.6487119150618[/C][C]-8.64871191506177[/C][/ROW]
[ROW][C]212[/C][C]17[/C][C]17.6924718707433[/C][C]-0.692471870743256[/C][/ROW]
[ROW][C]213[/C][C]18[/C][C]15.8143379798193[/C][C]2.1856620201807[/C][/ROW]
[ROW][C]214[/C][C]16[/C][C]17.3070563542914[/C][C]-1.30705635429139[/C][/ROW]
[ROW][C]215[/C][C]23[/C][C]16.2110187426073[/C][C]6.78898125739268[/C][/ROW]
[ROW][C]216[/C][C]22[/C][C]14.2344391315917[/C][C]7.76556086840826[/C][/ROW]
[ROW][C]217[/C][C]13[/C][C]15.9235685776649[/C][C]-2.92356857766492[/C][/ROW]
[ROW][C]218[/C][C]13[/C][C]17.6541720351623[/C][C]-4.65417203516228[/C][/ROW]
[ROW][C]219[/C][C]16[/C][C]16.4720128975584[/C][C]-0.472012897558393[/C][/ROW]
[ROW][C]220[/C][C]16[/C][C]14.9981702357084[/C][C]1.00182976429162[/C][/ROW]
[ROW][C]221[/C][C]20[/C][C]17.873149146798[/C][C]2.12685085320195[/C][/ROW]
[ROW][C]222[/C][C]22[/C][C]23.9863857036982[/C][C]-1.98638570369821[/C][/ROW]
[ROW][C]223[/C][C]17[/C][C]18.8688408870196[/C][C]-1.8688408870196[/C][/ROW]
[ROW][C]224[/C][C]18[/C][C]18.0887457228673[/C][C]-0.0887457228673005[/C][/ROW]
[ROW][C]225[/C][C]17[/C][C]12.0337760852595[/C][C]4.96622391474047[/C][/ROW]
[ROW][C]226[/C][C]12[/C][C]18.2299076705064[/C][C]-6.22990767050642[/C][/ROW]
[ROW][C]227[/C][C]7[/C][C]17.5789792386542[/C][C]-10.5789792386542[/C][/ROW]
[ROW][C]228[/C][C]17[/C][C]20.2281519384412[/C][C]-3.22815193844121[/C][/ROW]
[ROW][C]229[/C][C]14[/C][C]15.1568099484826[/C][C]-1.15680994848262[/C][/ROW]
[ROW][C]230[/C][C]23[/C][C]20.2401935676256[/C][C]2.75980643237438[/C][/ROW]
[ROW][C]231[/C][C]17[/C][C]11.812993968046[/C][C]5.18700603195396[/C][/ROW]
[ROW][C]232[/C][C]14[/C][C]17.7470645309289[/C][C]-3.74706453092885[/C][/ROW]
[ROW][C]233[/C][C]15[/C][C]21.4454512711645[/C][C]-6.44545127116449[/C][/ROW]
[ROW][C]234[/C][C]17[/C][C]15.2831272018076[/C][C]1.71687279819244[/C][/ROW]
[ROW][C]235[/C][C]21[/C][C]18.4514036633378[/C][C]2.54859633666224[/C][/ROW]
[ROW][C]236[/C][C]18[/C][C]16.4412539717704[/C][C]1.55874602822962[/C][/ROW]
[ROW][C]237[/C][C]18[/C][C]17.7743508339321[/C][C]0.225649166067936[/C][/ROW]
[ROW][C]238[/C][C]17[/C][C]15.1189644630043[/C][C]1.88103553699572[/C][/ROW]
[ROW][C]239[/C][C]17[/C][C]16.1837344312517[/C][C]0.816265568748337[/C][/ROW]
[ROW][C]240[/C][C]16[/C][C]14.7660871690062[/C][C]1.23391283099378[/C][/ROW]
[ROW][C]241[/C][C]15[/C][C]18.4872810224901[/C][C]-3.48728102249012[/C][/ROW]
[ROW][C]242[/C][C]21[/C][C]22.8056667679307[/C][C]-1.80566676793067[/C][/ROW]
[ROW][C]243[/C][C]16[/C][C]15.2019930378567[/C][C]0.798006962143291[/C][/ROW]
[ROW][C]244[/C][C]14[/C][C]16.2685036798107[/C][C]-2.26850367981073[/C][/ROW]
[ROW][C]245[/C][C]15[/C][C]17.8721287874366[/C][C]-2.87212878743657[/C][/ROW]
[ROW][C]246[/C][C]17[/C][C]19.023181774281[/C][C]-2.02318177428102[/C][/ROW]
[ROW][C]247[/C][C]15[/C][C]20.2764170165394[/C][C]-5.27641701653941[/C][/ROW]
[ROW][C]248[/C][C]15[/C][C]16.8344753970353[/C][C]-1.83447539703526[/C][/ROW]
[ROW][C]249[/C][C]10[/C][C]17.3716713789679[/C][C]-7.37167137896785[/C][/ROW]
[ROW][C]250[/C][C]6[/C][C]17.4203205195833[/C][C]-11.4203205195833[/C][/ROW]
[ROW][C]251[/C][C]22[/C][C]20.6443248517454[/C][C]1.35567514825461[/C][/ROW]
[ROW][C]252[/C][C]21[/C][C]20.3875054246375[/C][C]0.612494575362519[/C][/ROW]
[ROW][C]253[/C][C]1[/C][C]12.6122743581149[/C][C]-11.6122743581149[/C][/ROW]
[ROW][C]254[/C][C]18[/C][C]16.3199635009092[/C][C]1.68003649909084[/C][/ROW]
[ROW][C]255[/C][C]17[/C][C]15.7222607082173[/C][C]1.27773929178273[/C][/ROW]
[ROW][C]256[/C][C]4[/C][C]11.8965023798642[/C][C]-7.89650237986419[/C][/ROW]
[ROW][C]257[/C][C]10[/C][C]15.7159939046404[/C][C]-5.71599390464039[/C][/ROW]
[ROW][C]258[/C][C]16[/C][C]15.8932214960276[/C][C]0.106778503972433[/C][/ROW]
[ROW][C]259[/C][C]16[/C][C]14.2797827738208[/C][C]1.72021722617925[/C][/ROW]
[ROW][C]260[/C][C]9[/C][C]14.1847367394145[/C][C]-5.18473673941453[/C][/ROW]
[ROW][C]261[/C][C]16[/C][C]12.0277824763585[/C][C]3.97221752364151[/C][/ROW]
[ROW][C]262[/C][C]17[/C][C]17.3190339172968[/C][C]-0.319033917296817[/C][/ROW]
[ROW][C]263[/C][C]7[/C][C]11.902488234175[/C][C]-4.90248823417499[/C][/ROW]
[ROW][C]264[/C][C]15[/C][C]15.9517316170712[/C][C]-0.951731617071242[/C][/ROW]
[ROW][C]265[/C][C]14[/C][C]16.9787899467317[/C][C]-2.97878994673168[/C][/ROW]
[ROW][C]266[/C][C]14[/C][C]17.4934228234826[/C][C]-3.49342282348264[/C][/ROW]
[ROW][C]267[/C][C]18[/C][C]16.747838477669[/C][C]1.25216152233104[/C][/ROW]
[ROW][C]268[/C][C]12[/C][C]16.7359833513223[/C][C]-4.73598335132231[/C][/ROW]
[ROW][C]269[/C][C]16[/C][C]17.6983086169989[/C][C]-1.69830861699893[/C][/ROW]
[ROW][C]270[/C][C]21[/C][C]20.0545105950567[/C][C]0.945489404943305[/C][/ROW]
[ROW][C]271[/C][C]19[/C][C]17.4651477656003[/C][C]1.53485223439969[/C][/ROW]
[ROW][C]272[/C][C]16[/C][C]16.2655821473915[/C][C]-0.265582147391537[/C][/ROW]
[ROW][C]273[/C][C]1[/C][C]11.4544670669548[/C][C]-10.4544670669548[/C][/ROW]
[ROW][C]274[/C][C]16[/C][C]18.0993285061419[/C][C]-2.09932850614188[/C][/ROW]
[ROW][C]275[/C][C]10[/C][C]15.4121410436646[/C][C]-5.41214104366458[/C][/ROW]
[ROW][C]276[/C][C]19[/C][C]14.9259864338458[/C][C]4.07401356615423[/C][/ROW]
[ROW][C]277[/C][C]12[/C][C]14.6613750603365[/C][C]-2.66137506033654[/C][/ROW]
[ROW][C]278[/C][C]2[/C][C]12.6740904844062[/C][C]-10.6740904844062[/C][/ROW]
[ROW][C]279[/C][C]14[/C][C]17.4411074593984[/C][C]-3.44110745939841[/C][/ROW]
[ROW][C]280[/C][C]17[/C][C]15.9826733065542[/C][C]1.01732669344582[/C][/ROW]
[ROW][C]281[/C][C]19[/C][C]16.1332944320606[/C][C]2.86670556793943[/C][/ROW]
[ROW][C]282[/C][C]14[/C][C]20.8646248682028[/C][C]-6.86462486820275[/C][/ROW]
[ROW][C]283[/C][C]11[/C][C]16.6856755825501[/C][C]-5.68567558255007[/C][/ROW]
[ROW][C]284[/C][C]4[/C][C]12.2370291285397[/C][C]-8.23702912853966[/C][/ROW]
[ROW][C]285[/C][C]16[/C][C]14.6570877066533[/C][C]1.34291229334667[/C][/ROW]
[ROW][C]286[/C][C]20[/C][C]16.3168437600246[/C][C]3.68315623997543[/C][/ROW]
[ROW][C]287[/C][C]12[/C][C]13.215553814688[/C][C]-1.21555381468801[/C][/ROW]
[ROW][C]288[/C][C]15[/C][C]19.2700886455245[/C][C]-4.2700886455245[/C][/ROW]
[ROW][C]289[/C][C]16[/C][C]16.2959392988615[/C][C]-0.2959392988615[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157519&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157519&T=4

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
13035.73720530157-5.73720530157001
22828.9672065405673-0.967206540567273
33827.811832677681610.1881673223184
43032.2076311582905-2.20763115829046
52221.56549472132880.43450527867123
62621.65455117166224.34544882833781
72539.5783468279304-14.5783468279304
81813.88323992424044.11676007575964
91115.1666623012088-4.16666230120876
102631.1366276214473-5.1366276214473
112524.70783452994640.292165470053581
123830.71169630278747.28830369721261
134425.775942249447818.2240577505522
143022.33283191741537.6671680825847
154029.437309138143510.5626908618565
163424.811946807599.18805319240999
174734.870469941597612.1295300584024
183037.7298344469989-7.72983444699889
193130.6641342500860.335865749913952
202331.9347839584074-8.93478395840737
213634.52282831580871.47717168419129
223632.72304627669893.27695372330112
233029.40855432981450.591445670185543
242525.8752553991594-0.875255399159393
253929.42434780978639.57565219021366
263428.00121305814885.99878694185117
273128.36314314033612.63685685966388
283131.2362886866997-0.236288686699698
293330.1608997353442.83910026465598
302519.4608141200315.53918587996899
313332.77631356540990.223686434590138
323535.6733236146367-0.673323614636672
334228.171696697213513.8283033027865
344333.95879396175639.04120603824366
353019.511365161628210.4886348383718
363338.085733114251-5.085733114251
371318.8357009643285-5.8357009643285
383223.56576651549648.43423348450364
393631.43152048030124.56847951969878
40011.3945048701168-11.3945048701168
412824.66264558000293.33735441999708
421419.0545171077088-5.05451710770882
431717.0949919999234-0.0949919999234175
443232.1114726517824-0.111472651782415
453028.8099365358921.19006346410798
463524.116904234592110.8830957654079
472020.970078669525-0.970078669525003
482827.84017867709330.159821322906743
492820.95491926852727.04508073147284
503923.72219391560815.277806084392
513427.8231542506546.17684574934603
522618.19210894578627.80789105421381
533929.48442325678749.51557674321259
543939.4268353635204-0.426835363520369
553327.8375032295625.16249677043802
562829.3446961259412-1.34469612594117
57412.8259671038808-8.82596710388084
583936.74211842988082.25788157011916
591816.452121201811.54787879818999
601418.0441265267032-4.04412652670318
612929.4104995455548-0.410499545554786
624439.41503515877764.58496484122244
632136.7024971776203-15.7024971776203
641616.8982561090917-0.898256109091717
652841.336817515682-13.336817515682
663538.90754550985-3.90754550984999
672824.61813130087663.38186869912339
683839.4293024286384-1.42930242863842
692344.0632992574992-21.0632992574992
703622.428388756026813.5716112439732
713229.3045765632832.69542343671703
722931.8992185696732-2.89921856967322
732526.844354030911-1.84435403091102
742730.1738859359676-3.17388593596761
753628.72815970290257.27184029709751
762830.7366457835742-2.73664578357418
772326.1742704649828-3.17427046498282
784026.265892209700913.7341077902991
792315.68741544326527.31258455673482
804026.825432913909413.1745670860906
812828.5348334536291-0.534833453629081
823426.97558382847597.02441617152406
833329.93924271892993.06075728107009
842833.2290970088595-5.2290970088595
853441.5658839375585-7.56588393755846
863024.90574432800485.09425567199519
873324.08007632788598.91992367211405
882220.92498057152841.07501942847161
893833.58644110681374.41355889318633
902620.07346884539055.92653115460951
913531.26917270580733.73082729419266
92822.0150248202784-14.0150248202784
932415.17601734002268.82398265997737
942928.61687036557310.383129634426871
952018.7465366702251.25346332977501
962928.39274458530550.607255414694472
974527.16536196511217.834638034888
983734.18320246044582.81679753955422
993322.838979701797110.1610202982029
1003334.4002994232743-1.40029942327427
1012522.56287555258562.4371244474144
1023224.75861136571777.24138863428235
1032933.8220494185896-4.82204941858961
1042831.9882946118446-3.98829461184457
1052838.3635843211003-10.3635843211003
1063144.378300706472-13.378300706472
1075236.386915459102515.6130845408975
1082117.02216677246613.97783322753393
1092448.0468969049762-24.0468969049762
1104131.11183574312719.88816425687288
1113340.0701301303696-7.07013013036957
1123220.341368855562211.6586311444378
1131918.53088416280540.469115837194613
1142022.3034573078685-2.30345730786855
1153133.5896644036006-2.58966440360057
1163129.56531876654111.43468123345889
1173231.28870315099190.711296849008123
1181822.9076427547165-4.9076427547165
1192339.9017880700199-16.9017880700199
1201717.7709344553238-0.770934455323768
1212021.4895874190002-1.48958741900022
1221214.8457369489494-2.84573694894941
1231719.6212062637824-2.62120626378242
1243030.4538389566509-0.453838956650914
1253134.641274794105-3.64127479410499
1261016.2205354229431-6.22053542294313
1271318.675035637472-5.67503563747195
1282223.2183552163317-1.21835521633172
1294231.981752402059110.0182475979409
130112.0261093756414-11.0261093756414
131912.6233197649926-3.62331976499263
1323226.41430624479555.58569375520445
1331116.2741612990578-5.27416129905781
1342517.82568379500187.17431620499818
1353624.191321703978611.8086782960214
1363139.125906075232-8.12590607523205
137011.7384776880464-11.7384776880464
1382430.3280751907441-6.32807519074407
1391317.0577125466643-4.05771254666428
140814.9033835126551-6.90338351265515
1411313.7027434509251-0.702743450925115
1421924.6335905993895-5.63359059938946
1431813.92459816232564.07540183767444
1443330.70991760959152.29008239040845
1454029.09801448908910.901985510911
1462215.8674310901076.13256890989299
1473822.589991209373615.4100087906264
1482426.7852827911449-2.78528279114485
149813.4030450351093-5.40304503510935
1503525.02588228384239.9741177161577
1514332.988784655859110.0112153441409
1524332.081334679375510.9186653206245
1531418.5141788355528-4.51417883555279
1544137.30835410261163.69164589738842
1553836.54223991629291.45776008370712
1564552.7830744819749-7.78307448197487
1573126.73554259081954.26445740918051
1581317.2228425766087-4.22284257660875
1592821.08279743596266.91720256403742
1603128.4072546713212.59274532867904
1614038.41577666521311.58422333478692
1623022.48265220454077.51734779545929
1631621.6444611512026-5.64446115120259
1643736.65464425795630.34535574204366
1653021.93775386688388.06224613311617
1663530.26435761255874.73564238744126
1673225.74414804223226.25585195776784
1682724.2433134703932.75668652960698
1692021.1865746916451-1.1865746916451
1701826.302451859627-8.30245185962705
1713130.44314966683030.556850333169691
1723135.4883346917363-4.48833469173632
1732115.98853220677615.01146779322391
1743933.80534923156525.19465076843481
1754129.93845643094911.061543569051
1761318.5442331186713-5.54423311867133
1773236.1384671550314-4.13846715503138
1781815.48434427711842.51565572288155
1793938.34411397122510.655886028774874
1801417.7921303336126-3.79213033361264
181717.31909000471-10.31909000471
1821716.89334265337290.10665734662711
183012.3785058041829-12.3785058041829
1843026.15216821085793.84783178914209
1853730.56432351062246.43567648937763
186011.7858939793508-11.7858939793508
187513.4095319504224-8.4095319504224
188112.0967997075582-11.0967997075582
1891620.2955341346459-4.2955341346459
1903216.162262054544915.8377379454551
1912423.87734322840860.122656771591363
1921716.54200522337020.457994776629842
1931116.6046128584039-5.60461285840387
1942416.81049886979117.18950113020887
1952226.468623286137-4.46862328613698
1961220.2250867984306-8.22508679843061
1971916.19727394036582.80272605963419
1981322.325343590619-9.32534359061898
1991721.1716132365186-4.17161323651857
2001520.8234855450406-5.82348554504062
2011617.6687707085961-1.66877070859612
2022414.10608606616819.89391393383188
2031518.228014342597-3.22801434259703
2041719.7686788338728-2.76867883387282
2051816.71825039142321.28174960857679
2062014.14284943766495.85715056233508
2071615.85999251668530.140007483314672
2081620.7479566429092-4.74795664290916
2091818.4481635534581-0.448163553458145
2102217.89231571044734.10768428955266
211816.6487119150618-8.64871191506177
2121717.6924718707433-0.692471870743256
2131815.81433797981932.1856620201807
2141617.3070563542914-1.30705635429139
2152316.21101874260736.78898125739268
2162214.23443913159177.76556086840826
2171315.9235685776649-2.92356857766492
2181317.6541720351623-4.65417203516228
2191616.4720128975584-0.472012897558393
2201614.99817023570841.00182976429162
2212017.8731491467982.12685085320195
2222223.9863857036982-1.98638570369821
2231718.8688408870196-1.8688408870196
2241818.0887457228673-0.0887457228673005
2251712.03377608525954.96622391474047
2261218.2299076705064-6.22990767050642
227717.5789792386542-10.5789792386542
2281720.2281519384412-3.22815193844121
2291415.1568099484826-1.15680994848262
2302320.24019356762562.75980643237438
2311711.8129939680465.18700603195396
2321417.7470645309289-3.74706453092885
2331521.4454512711645-6.44545127116449
2341715.28312720180761.71687279819244
2352118.45140366333782.54859633666224
2361816.44125397177041.55874602822962
2371817.77435083393210.225649166067936
2381715.11896446300431.88103553699572
2391716.18373443125170.816265568748337
2401614.76608716900621.23391283099378
2411518.4872810224901-3.48728102249012
2422122.8056667679307-1.80566676793067
2431615.20199303785670.798006962143291
2441416.2685036798107-2.26850367981073
2451517.8721287874366-2.87212878743657
2461719.023181774281-2.02318177428102
2471520.2764170165394-5.27641701653941
2481516.8344753970353-1.83447539703526
2491017.3716713789679-7.37167137896785
250617.4203205195833-11.4203205195833
2512220.64432485174541.35567514825461
2522120.38750542463750.612494575362519
253112.6122743581149-11.6122743581149
2541816.31996350090921.68003649909084
2551715.72226070821731.27773929178273
256411.8965023798642-7.89650237986419
2571015.7159939046404-5.71599390464039
2581615.89322149602760.106778503972433
2591614.27978277382081.72021722617925
260914.1847367394145-5.18473673941453
2611612.02778247635853.97221752364151
2621717.3190339172968-0.319033917296817
263711.902488234175-4.90248823417499
2641515.9517316170712-0.951731617071242
2651416.9787899467317-2.97878994673168
2661417.4934228234826-3.49342282348264
2671816.7478384776691.25216152233104
2681216.7359833513223-4.73598335132231
2691617.6983086169989-1.69830861699893
2702120.05451059505670.945489404943305
2711917.46514776560031.53485223439969
2721616.2655821473915-0.265582147391537
273111.4544670669548-10.4544670669548
2741618.0993285061419-2.09932850614188
2751015.4121410436646-5.41214104366458
2761914.92598643384584.07401356615423
2771214.6613750603365-2.66137506033654
278212.6740904844062-10.6740904844062
2791417.4411074593984-3.44110745939841
2801715.98267330655421.01732669344582
2811916.13329443206062.86670556793943
2821420.8646248682028-6.86462486820275
2831116.6856755825501-5.68567558255007
284412.2370291285397-8.23702912853966
2851614.65708770665331.34291229334667
2862016.31684376002463.68315623997543
2871213.215553814688-1.21555381468801
2881519.2700886455245-4.2700886455245
2891616.2959392988615-0.2959392988615






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.2294768247478210.4589536494956410.770523175252179
100.172268225701460.344536451402920.82773177429854
110.162968100130750.32593620026150.83703189986925
120.3617171203354950.723434240670990.638282879664505
130.667374442328590.6652511153428210.33262555767141
140.5796478114755690.8407043770488630.420352188524431
150.4867436911761430.9734873823522860.513256308823857
160.4429279789148190.8858559578296380.557072021085181
170.4625950757736810.9251901515473630.537404924226319
180.6150880838700410.7698238322599190.38491191612996
190.570798755298890.8584024894022210.42920124470111
200.9359014125032430.1281971749935150.0640985874967574
210.918291789748760.163416420502480.08170821025124
220.9033691634874060.1932616730251880.0966308365125939
230.8766676071561570.2466647856876850.123332392843843
240.8431110428864340.3137779142271320.156888957113566
250.8455064537628950.3089870924742090.154493546237105
260.8075214434475720.3849571131048560.192478556552428
270.7667798862084480.4664402275831040.233220113791552
280.7174297786274140.5651404427451710.282570221372586
290.6662835167650430.6674329664699150.333716483234957
300.6149927943787320.7700144112425360.385007205621268
310.5584279348151580.8831441303696840.441572065184842
320.5124462138817550.9751075722364910.487553786118245
330.5316701756132480.9366596487735040.468329824386752
340.5870144482227140.8259711035545710.412985551777286
350.5976566929483290.8046866141033410.402343307051671
360.5747769689830020.8504460620339960.425223031016998
370.6230048312850440.7539903374299120.376995168714956
380.5977618025048410.8044763949903170.402238197495159
390.5969113619845370.8061772760309260.403088638015463
400.7989505377751440.4020989244497110.201049462224856
410.7632617588875120.4734764822249750.236738241112488
420.7557296555087870.4885406889824260.244270344491213
430.7256132791180330.5487734417639350.274386720881967
440.683140721662910.633718556674180.31685927833709
450.6388082739812310.7223834520375380.361191726018769
460.6623963506561890.6752072986876230.337603649343811
470.6239748840984940.7520502318030120.376025115901506
480.5806107435991920.8387785128016160.419389256400808
490.5607305798799830.8785388402400340.439269420120017
500.6816940947884390.6366118104231220.318305905211561
510.6489713090535640.7020573818928730.351028690946436
520.6413998330332220.7172003339335550.358600166966778
530.6335211030295340.7329577939409330.366478896970466
540.6241129340028320.7517741319943360.375887065997168
550.5902488650903110.8195022698193790.409751134909689
560.5506133428414790.8987733143170430.449386657158521
570.6332015234515420.7335969530969150.366798476548458
580.6018541291158470.7962917417683060.398145870884153
590.5637838286970540.8724323426058910.436216171302946
600.5630227328456640.8739545343086720.436977267154336
610.5220274486045660.9559451027908690.477972551395434
620.4924198034790460.9848396069580910.507580196520955
630.67212340270420.65575319459160.3278765972958
640.6385146161139380.7229707677721250.361485383886062
650.8038693014303640.3922613971392730.196130698569636
660.7781209202586390.4437581594827220.221879079741361
670.7493422287872110.5013155424255780.250657771212789
680.7228967506479250.554206498704150.277103249352075
690.8849492680176280.2301014639647430.115050731982372
700.9209272784950810.1581454430098370.0790727215049186
710.9069634447654390.1860731104691210.0930365552345605
720.8921802057071110.2156395885857780.107819794292889
730.8742256723585320.2515486552829350.125774327641468
740.8700865357640340.2598269284719320.129913464235966
750.8720723773389450.255855245322110.127927622661055
760.8629525078537560.2740949842924880.137047492146244
770.8510732119485990.2978535761028020.148926788051401
780.8958815993085960.2082368013828070.104118400691404
790.8882681825391330.2234636349217340.111731817460867
800.9223509782579960.1552980434840080.0776490217420042
810.9089890180062950.182021963987410.091010981993705
820.9055255470469630.1889489059060740.0944744529530368
830.8910646165571990.2178707668856030.108935383442801
840.8838065361902640.2323869276194720.116193463809736
850.8858101930091760.2283796139816490.114189806990825
860.8733018666249610.2533962667500780.126698133375039
870.8783129968855210.2433740062289590.121687003114479
880.8595908181734340.2808183636531320.140409181826566
890.8485962601153990.3028074797692020.151403739884601
900.8362174238206920.3275651523586170.163782576179308
910.8183924254751760.3632151490496480.181607574524824
920.9145554083284820.1708891833430360.0854445916715178
930.9146902055602420.1706195888795170.0853097944397584
940.9002661776440.1994676447120.0997338223560002
950.8880352382182670.2239295235634670.111964761781733
960.8703011965095170.2593976069809660.129698803490483
970.9538590128413150.09228197431736950.0461409871586847
980.9482631143593460.1034737712813080.0517368856406538
990.9564110266746880.08717794665062390.0435889733253119
1000.9481973196477210.1036053607045590.0518026803522794
1010.94073220584410.11853558831180.0592677941559001
1020.9402716063416610.1194567873166790.0597283936583395
1030.9346872751967250.130625449606550.0653127248032749
1040.9280286514779340.1439426970441320.0719713485220659
1050.9408081754813760.1183836490372480.059191824518624
1060.9604769540726890.07904609185462260.0395230459273113
1070.9867836729039390.0264326541921230.0132163270960615
1080.984421699207860.03115660158428040.0155783007921402
1090.999249950014150.001500099971699850.000750049985849927
1100.9994512747703120.001097450459375780.000548725229687892
1110.9994329457827980.0011341084344050.000567054217202502
1120.9996944511869460.0006110976261077020.000305548813053851
1130.9996052716734580.0007894566530834680.000394728326541734
1140.9995326505382280.0009346989235438410.00046734946177192
1150.9994883416701430.001023316659714270.000511658329857135
1160.9993137146661780.001372570667643550.000686285333821775
1170.99907910254040.001841794919199910.000920897459599956
1180.9990647088011270.001870582397745430.000935291198872717
1190.9997986972916280.0004026054167431180.000201302708371559
1200.9997542340798610.0004915318402770810.000245765920138541
1210.9996944626286550.0006110747426890470.000305537371344524
1220.99968064614860.0006387077028008130.000319353851400406
1230.9996326105449280.0007347789101441380.000367389455072069
1240.9995091775546580.0009816448906846840.000490822445342342
1250.9994014072412080.001197185517584860.000598592758792428
1260.9995049226118780.0009901547762438630.000495077388121932
1270.9995374944340610.0009250111318778770.000462505565938938
1280.9994141267735830.001171746452834470.000585873226417236
1290.9995844772036380.000831045592724120.00041552279636206
1300.9998308591418450.0003382817163100880.000169140858155044
1310.9998135891532910.0003728216934189420.000186410846709471
1320.9997819484808280.0004361030383434790.00021805151917174
1330.9997785869212870.0004428261574260510.000221413078713026
1340.9997798303163160.0004403393673673080.000220169683683654
1350.9999105174662660.0001789650674680788.9482533734039e-05
1360.9999141076723980.0001717846552036168.58923276018082e-05
1370.9999688681559876.22636880262698e-053.11318440131349e-05
1380.9999689930031276.20139937457491e-053.10069968728745e-05
1390.9999645871868097.08256263814647e-053.54128131907324e-05
1400.9999690009744996.19980510027706e-053.09990255013853e-05
1410.9999583345815348.3330836932554e-054.1665418466277e-05
1420.9999584952500428.30094999160651e-054.15047499580325e-05
1430.9999512864869549.7427026091448e-054.8713513045724e-05
1440.9999346586428210.0001306827143576336.53413571788165e-05
1450.9999548585386059.02829227905989e-054.51414613952995e-05
1460.9999533859256489.32281487040846e-054.66140743520423e-05
1470.9999897344610682.05310778631185e-051.02655389315593e-05
1480.9999866726258722.66547482558132e-051.33273741279066e-05
1490.9999859428993172.81142013651245e-051.40571006825623e-05
1500.9999905930888471.88138223056321e-059.40691115281603e-06
1510.9999939421184661.21157630678381e-056.05788153391906e-06
1520.9999983761362983.24772740361618e-061.62386370180809e-06
1530.9999980465494173.9069011661641e-061.95345058308205e-06
1540.9999977979903924.40401921633858e-062.20200960816929e-06
1550.9999969210880296.15782394251482e-063.07891197125741e-06
1560.9999980959856883.80802862396015e-061.90401431198007e-06
1570.999997481541295.03691741972024e-062.51845870986012e-06
1580.99999688087526.23824959962862e-063.11912479981431e-06
1590.9999969945822146.01083557288499e-063.00541778644249e-06
1600.999995746669878.50666025925666e-064.25333012962833e-06
1610.9999938499566991.23000866009291e-056.15004330046453e-06
1620.9999936362357921.27275284151824e-056.36376420759118e-06
1630.9999929313163831.41373672333345e-057.06868361666724e-06
1640.9999909367399341.81265201311196e-059.0632600655598e-06
1650.99999269264091.46147181992773e-057.30735909963867e-06
1660.9999905939837321.88120325368089e-059.40601626840446e-06
1670.9999920954711841.58090576327121e-057.90452881635607e-06
1680.9999914403748961.71192502085263e-058.55962510426313e-06
1690.9999878258731972.43482536051455e-051.21741268025728e-05
1700.9999896882534922.06234930164302e-051.03117465082151e-05
1710.9999848176410923.0364717816503e-051.51823589082515e-05
1720.9999824449664013.51100671985369e-051.75550335992685e-05
1730.9999815612524213.68774951571753e-051.84387475785877e-05
1740.9999770867445494.58265109017336e-052.29132554508668e-05
1750.9999882880233182.34239533634166e-051.17119766817083e-05
1760.9999878646780732.42706438532542e-051.21353219266271e-05
1770.9999873286028352.53427943292011e-051.26713971646005e-05
1780.9999833421209753.33157580505842e-051.66578790252921e-05
1790.9999755431388924.89137222166507e-052.44568611083253e-05
1800.9999679995549256.40008901495911e-053.20004450747956e-05
1810.9999823841739283.52316521436958e-051.76158260718479e-05
1820.9999748253195355.03493609298703e-052.51746804649351e-05
1830.9999918486148841.63027702313037e-058.15138511565187e-06
1840.9999897797729832.04404540334097e-051.02202270167049e-05
1850.9999965587641696.88247166223064e-063.44123583111532e-06
1860.9999990162432281.96751354436803e-069.83756772184016e-07
1870.9999992781125181.44377496359377e-067.21887481796886e-07
1880.9999998426114573.1477708499823e-071.57388542499115e-07
1890.9999997613787274.77242546157677e-072.38621273078839e-07
1900.9999999970439725.91205517297853e-092.95602758648926e-09
1910.9999999947269291.05461413221169e-085.27307066105846e-09
1920.9999999907467761.85064483224736e-089.25322416123678e-09
1930.9999999896290382.07419240962556e-081.03709620481278e-08
1940.9999999927926211.4414757366903e-087.20737868345149e-09
1950.9999999882960912.3407818393904e-081.1703909196952e-08
1960.9999999875520142.48959728927615e-081.24479864463807e-08
1970.9999999801804363.96391278366968e-081.98195639183484e-08
1980.9999999849402533.01194948987498e-081.50597474493749e-08
1990.9999999751734834.96530329476975e-082.48265164738488e-08
2000.9999999662021996.75956021963927e-083.37978010981964e-08
2010.9999999437813051.12437389780391e-075.62186948901953e-08
2020.9999999915610161.68779682063067e-088.43898410315336e-09
2030.9999999868812732.6237454904323e-081.31187274521615e-08
2040.9999999823115113.53769781188631e-081.76884890594315e-08
2050.9999999712153365.75693288245285e-082.87846644122643e-08
2060.9999999824195083.51609832974211e-081.75804916487106e-08
2070.9999999682930746.34138517931897e-083.17069258965949e-08
2080.9999999542426099.15147815433341e-084.57573907716671e-08
2090.9999999221058951.55788210717795e-077.78941053588975e-08
2100.9999999450281331.09943734007967e-075.49718670039835e-08
2110.9999999619457277.61085452724742e-083.80542726362371e-08
2120.9999999372758521.25448294986156e-076.27241474930782e-08
2130.9999998977589512.04482097659565e-071.02241048829783e-07
2140.9999998343371953.31325610265367e-071.65662805132683e-07
2150.9999999316519391.36696121933912e-076.83480609669562e-08
2160.9999999660550086.78899845905317e-083.39449922952659e-08
2170.9999999400579851.19884031021295e-075.99420155106473e-08
2180.9999999068134731.86373053440266e-079.31865267201332e-08
2190.9999998341439483.31712103819225e-071.65856051909613e-07
2200.9999997456547815.08690438802628e-072.54345219401314e-07
2210.9999996071798677.85640265742293e-073.92820132871146e-07
2220.9999993263862981.34722740350742e-066.73613701753711e-07
2230.9999988426901032.31461979354447e-061.15730989677223e-06
2240.9999979725744734.05485105412024e-062.02742552706012e-06
2250.9999986232688982.75346220484921e-061.37673110242461e-06
2260.9999978602646434.27947071436408e-062.13973535718204e-06
2270.999998798869252.40226149938112e-061.20113074969056e-06
2280.9999979799031034.04019379321159e-062.02009689660579e-06
2290.9999966190469096.7619061821685e-063.38095309108425e-06
2300.9999960689246077.86215078526467e-063.93107539263234e-06
2310.9999978458083594.30838328161294e-062.15419164080647e-06
2320.9999968055846226.38883075582936e-063.19441537791468e-06
2330.9999965339900666.93201986866291e-063.46600993433145e-06
2340.9999952449665129.51006697516951e-064.75503348758475e-06
2350.9999939412314221.21175371567839e-056.05876857839195e-06
2360.999991287919971.74241600594793e-058.71208002973967e-06
2370.9999852868603812.94262792381103e-051.47131396190552e-05
2380.9999818500236533.62999526936003e-051.81499763468001e-05
2390.9999717879270215.64241459583125e-052.82120729791563e-05
2400.999968858835886.22823282393277e-053.11411641196639e-05
2410.9999513341162729.73317674555484e-054.86658837277742e-05
2420.9999292388905870.0001415222188255257.07611094127627e-05
2430.9999067663876730.0001864672246537679.32336123268835e-05
2440.9998417051979720.0003165896040567730.000158294802028386
2450.9997410563001470.0005178873997065540.000258943699853277
2460.9995724481544780.0008551036910430850.000427551845521542
2470.999524627588390.0009507448232191370.000475372411609568
2480.9992240091482540.001551981703490910.000775990851745456
2490.9991727416220550.001654516755889950.000827258377944973
2500.9999114401597810.0001771196804378368.8559840218918e-05
2510.9998400897008790.0003198205982427080.000159910299121354
2520.999722151394690.0005556972106209150.000277848605310457
2530.9998261409772260.0003477180455478370.000173859022773918
2540.9997097767473930.0005804465052146560.000290223252607328
2550.9995766022312880.0008467955374236980.000423397768711849
2560.9994727251429620.00105454971407530.000527274857037651
2570.9992953075196560.001409384960687520.00070469248034376
2580.9987485458141850.002502908371630270.00125145418581513
2590.9984428242367180.003114351526563660.00155717576328183
2600.9974814968199470.005037006360105570.00251850318005279
2610.9984038379978420.003192324004315450.00159616200215773
2620.9971381902118710.00572361957625820.0028618097881291
2630.9950668668884630.009866266223073570.00493313311153679
2640.9915296957794730.01694060844105480.00847030422052742
2650.9862234976447180.02755300471056410.0137765023552821
2660.9792047537478190.04159049250436190.020795246252181
2670.9712772929056470.05744541418870560.0287227070943528
2680.9575714247979280.08485715040414350.0424285752020717
2690.9342014665056370.1315970669887270.0657985334943635
2700.904277150890940.191445698218120.0957228491090599
2710.861672298936790.2766554021264210.13832770106321
2720.819055239417190.361889521165620.18094476058281
2730.8371340131959690.3257319736080630.162865986804031
2740.7662062258453580.4675875483092830.233793774154642
2750.695562477717890.608875044564220.30443752228211
2760.7129876477977040.5740247044045930.287012352202296
2770.6049086983710940.7901826032578130.395091301628906
2780.6897440614271610.6205118771456780.310255938572839
2790.5484990092069880.9030019815860250.451500990793012
2800.5115469046976020.9769061906047950.488453095302398

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
9 & 0.229476824747821 & 0.458953649495641 & 0.770523175252179 \tabularnewline
10 & 0.17226822570146 & 0.34453645140292 & 0.82773177429854 \tabularnewline
11 & 0.16296810013075 & 0.3259362002615 & 0.83703189986925 \tabularnewline
12 & 0.361717120335495 & 0.72343424067099 & 0.638282879664505 \tabularnewline
13 & 0.66737444232859 & 0.665251115342821 & 0.33262555767141 \tabularnewline
14 & 0.579647811475569 & 0.840704377048863 & 0.420352188524431 \tabularnewline
15 & 0.486743691176143 & 0.973487382352286 & 0.513256308823857 \tabularnewline
16 & 0.442927978914819 & 0.885855957829638 & 0.557072021085181 \tabularnewline
17 & 0.462595075773681 & 0.925190151547363 & 0.537404924226319 \tabularnewline
18 & 0.615088083870041 & 0.769823832259919 & 0.38491191612996 \tabularnewline
19 & 0.57079875529889 & 0.858402489402221 & 0.42920124470111 \tabularnewline
20 & 0.935901412503243 & 0.128197174993515 & 0.0640985874967574 \tabularnewline
21 & 0.91829178974876 & 0.16341642050248 & 0.08170821025124 \tabularnewline
22 & 0.903369163487406 & 0.193261673025188 & 0.0966308365125939 \tabularnewline
23 & 0.876667607156157 & 0.246664785687685 & 0.123332392843843 \tabularnewline
24 & 0.843111042886434 & 0.313777914227132 & 0.156888957113566 \tabularnewline
25 & 0.845506453762895 & 0.308987092474209 & 0.154493546237105 \tabularnewline
26 & 0.807521443447572 & 0.384957113104856 & 0.192478556552428 \tabularnewline
27 & 0.766779886208448 & 0.466440227583104 & 0.233220113791552 \tabularnewline
28 & 0.717429778627414 & 0.565140442745171 & 0.282570221372586 \tabularnewline
29 & 0.666283516765043 & 0.667432966469915 & 0.333716483234957 \tabularnewline
30 & 0.614992794378732 & 0.770014411242536 & 0.385007205621268 \tabularnewline
31 & 0.558427934815158 & 0.883144130369684 & 0.441572065184842 \tabularnewline
32 & 0.512446213881755 & 0.975107572236491 & 0.487553786118245 \tabularnewline
33 & 0.531670175613248 & 0.936659648773504 & 0.468329824386752 \tabularnewline
34 & 0.587014448222714 & 0.825971103554571 & 0.412985551777286 \tabularnewline
35 & 0.597656692948329 & 0.804686614103341 & 0.402343307051671 \tabularnewline
36 & 0.574776968983002 & 0.850446062033996 & 0.425223031016998 \tabularnewline
37 & 0.623004831285044 & 0.753990337429912 & 0.376995168714956 \tabularnewline
38 & 0.597761802504841 & 0.804476394990317 & 0.402238197495159 \tabularnewline
39 & 0.596911361984537 & 0.806177276030926 & 0.403088638015463 \tabularnewline
40 & 0.798950537775144 & 0.402098924449711 & 0.201049462224856 \tabularnewline
41 & 0.763261758887512 & 0.473476482224975 & 0.236738241112488 \tabularnewline
42 & 0.755729655508787 & 0.488540688982426 & 0.244270344491213 \tabularnewline
43 & 0.725613279118033 & 0.548773441763935 & 0.274386720881967 \tabularnewline
44 & 0.68314072166291 & 0.63371855667418 & 0.31685927833709 \tabularnewline
45 & 0.638808273981231 & 0.722383452037538 & 0.361191726018769 \tabularnewline
46 & 0.662396350656189 & 0.675207298687623 & 0.337603649343811 \tabularnewline
47 & 0.623974884098494 & 0.752050231803012 & 0.376025115901506 \tabularnewline
48 & 0.580610743599192 & 0.838778512801616 & 0.419389256400808 \tabularnewline
49 & 0.560730579879983 & 0.878538840240034 & 0.439269420120017 \tabularnewline
50 & 0.681694094788439 & 0.636611810423122 & 0.318305905211561 \tabularnewline
51 & 0.648971309053564 & 0.702057381892873 & 0.351028690946436 \tabularnewline
52 & 0.641399833033222 & 0.717200333933555 & 0.358600166966778 \tabularnewline
53 & 0.633521103029534 & 0.732957793940933 & 0.366478896970466 \tabularnewline
54 & 0.624112934002832 & 0.751774131994336 & 0.375887065997168 \tabularnewline
55 & 0.590248865090311 & 0.819502269819379 & 0.409751134909689 \tabularnewline
56 & 0.550613342841479 & 0.898773314317043 & 0.449386657158521 \tabularnewline
57 & 0.633201523451542 & 0.733596953096915 & 0.366798476548458 \tabularnewline
58 & 0.601854129115847 & 0.796291741768306 & 0.398145870884153 \tabularnewline
59 & 0.563783828697054 & 0.872432342605891 & 0.436216171302946 \tabularnewline
60 & 0.563022732845664 & 0.873954534308672 & 0.436977267154336 \tabularnewline
61 & 0.522027448604566 & 0.955945102790869 & 0.477972551395434 \tabularnewline
62 & 0.492419803479046 & 0.984839606958091 & 0.507580196520955 \tabularnewline
63 & 0.6721234027042 & 0.6557531945916 & 0.3278765972958 \tabularnewline
64 & 0.638514616113938 & 0.722970767772125 & 0.361485383886062 \tabularnewline
65 & 0.803869301430364 & 0.392261397139273 & 0.196130698569636 \tabularnewline
66 & 0.778120920258639 & 0.443758159482722 & 0.221879079741361 \tabularnewline
67 & 0.749342228787211 & 0.501315542425578 & 0.250657771212789 \tabularnewline
68 & 0.722896750647925 & 0.55420649870415 & 0.277103249352075 \tabularnewline
69 & 0.884949268017628 & 0.230101463964743 & 0.115050731982372 \tabularnewline
70 & 0.920927278495081 & 0.158145443009837 & 0.0790727215049186 \tabularnewline
71 & 0.906963444765439 & 0.186073110469121 & 0.0930365552345605 \tabularnewline
72 & 0.892180205707111 & 0.215639588585778 & 0.107819794292889 \tabularnewline
73 & 0.874225672358532 & 0.251548655282935 & 0.125774327641468 \tabularnewline
74 & 0.870086535764034 & 0.259826928471932 & 0.129913464235966 \tabularnewline
75 & 0.872072377338945 & 0.25585524532211 & 0.127927622661055 \tabularnewline
76 & 0.862952507853756 & 0.274094984292488 & 0.137047492146244 \tabularnewline
77 & 0.851073211948599 & 0.297853576102802 & 0.148926788051401 \tabularnewline
78 & 0.895881599308596 & 0.208236801382807 & 0.104118400691404 \tabularnewline
79 & 0.888268182539133 & 0.223463634921734 & 0.111731817460867 \tabularnewline
80 & 0.922350978257996 & 0.155298043484008 & 0.0776490217420042 \tabularnewline
81 & 0.908989018006295 & 0.18202196398741 & 0.091010981993705 \tabularnewline
82 & 0.905525547046963 & 0.188948905906074 & 0.0944744529530368 \tabularnewline
83 & 0.891064616557199 & 0.217870766885603 & 0.108935383442801 \tabularnewline
84 & 0.883806536190264 & 0.232386927619472 & 0.116193463809736 \tabularnewline
85 & 0.885810193009176 & 0.228379613981649 & 0.114189806990825 \tabularnewline
86 & 0.873301866624961 & 0.253396266750078 & 0.126698133375039 \tabularnewline
87 & 0.878312996885521 & 0.243374006228959 & 0.121687003114479 \tabularnewline
88 & 0.859590818173434 & 0.280818363653132 & 0.140409181826566 \tabularnewline
89 & 0.848596260115399 & 0.302807479769202 & 0.151403739884601 \tabularnewline
90 & 0.836217423820692 & 0.327565152358617 & 0.163782576179308 \tabularnewline
91 & 0.818392425475176 & 0.363215149049648 & 0.181607574524824 \tabularnewline
92 & 0.914555408328482 & 0.170889183343036 & 0.0854445916715178 \tabularnewline
93 & 0.914690205560242 & 0.170619588879517 & 0.0853097944397584 \tabularnewline
94 & 0.900266177644 & 0.199467644712 & 0.0997338223560002 \tabularnewline
95 & 0.888035238218267 & 0.223929523563467 & 0.111964761781733 \tabularnewline
96 & 0.870301196509517 & 0.259397606980966 & 0.129698803490483 \tabularnewline
97 & 0.953859012841315 & 0.0922819743173695 & 0.0461409871586847 \tabularnewline
98 & 0.948263114359346 & 0.103473771281308 & 0.0517368856406538 \tabularnewline
99 & 0.956411026674688 & 0.0871779466506239 & 0.0435889733253119 \tabularnewline
100 & 0.948197319647721 & 0.103605360704559 & 0.0518026803522794 \tabularnewline
101 & 0.9407322058441 & 0.1185355883118 & 0.0592677941559001 \tabularnewline
102 & 0.940271606341661 & 0.119456787316679 & 0.0597283936583395 \tabularnewline
103 & 0.934687275196725 & 0.13062544960655 & 0.0653127248032749 \tabularnewline
104 & 0.928028651477934 & 0.143942697044132 & 0.0719713485220659 \tabularnewline
105 & 0.940808175481376 & 0.118383649037248 & 0.059191824518624 \tabularnewline
106 & 0.960476954072689 & 0.0790460918546226 & 0.0395230459273113 \tabularnewline
107 & 0.986783672903939 & 0.026432654192123 & 0.0132163270960615 \tabularnewline
108 & 0.98442169920786 & 0.0311566015842804 & 0.0155783007921402 \tabularnewline
109 & 0.99924995001415 & 0.00150009997169985 & 0.000750049985849927 \tabularnewline
110 & 0.999451274770312 & 0.00109745045937578 & 0.000548725229687892 \tabularnewline
111 & 0.999432945782798 & 0.001134108434405 & 0.000567054217202502 \tabularnewline
112 & 0.999694451186946 & 0.000611097626107702 & 0.000305548813053851 \tabularnewline
113 & 0.999605271673458 & 0.000789456653083468 & 0.000394728326541734 \tabularnewline
114 & 0.999532650538228 & 0.000934698923543841 & 0.00046734946177192 \tabularnewline
115 & 0.999488341670143 & 0.00102331665971427 & 0.000511658329857135 \tabularnewline
116 & 0.999313714666178 & 0.00137257066764355 & 0.000686285333821775 \tabularnewline
117 & 0.9990791025404 & 0.00184179491919991 & 0.000920897459599956 \tabularnewline
118 & 0.999064708801127 & 0.00187058239774543 & 0.000935291198872717 \tabularnewline
119 & 0.999798697291628 & 0.000402605416743118 & 0.000201302708371559 \tabularnewline
120 & 0.999754234079861 & 0.000491531840277081 & 0.000245765920138541 \tabularnewline
121 & 0.999694462628655 & 0.000611074742689047 & 0.000305537371344524 \tabularnewline
122 & 0.9996806461486 & 0.000638707702800813 & 0.000319353851400406 \tabularnewline
123 & 0.999632610544928 & 0.000734778910144138 & 0.000367389455072069 \tabularnewline
124 & 0.999509177554658 & 0.000981644890684684 & 0.000490822445342342 \tabularnewline
125 & 0.999401407241208 & 0.00119718551758486 & 0.000598592758792428 \tabularnewline
126 & 0.999504922611878 & 0.000990154776243863 & 0.000495077388121932 \tabularnewline
127 & 0.999537494434061 & 0.000925011131877877 & 0.000462505565938938 \tabularnewline
128 & 0.999414126773583 & 0.00117174645283447 & 0.000585873226417236 \tabularnewline
129 & 0.999584477203638 & 0.00083104559272412 & 0.00041552279636206 \tabularnewline
130 & 0.999830859141845 & 0.000338281716310088 & 0.000169140858155044 \tabularnewline
131 & 0.999813589153291 & 0.000372821693418942 & 0.000186410846709471 \tabularnewline
132 & 0.999781948480828 & 0.000436103038343479 & 0.00021805151917174 \tabularnewline
133 & 0.999778586921287 & 0.000442826157426051 & 0.000221413078713026 \tabularnewline
134 & 0.999779830316316 & 0.000440339367367308 & 0.000220169683683654 \tabularnewline
135 & 0.999910517466266 & 0.000178965067468078 & 8.9482533734039e-05 \tabularnewline
136 & 0.999914107672398 & 0.000171784655203616 & 8.58923276018082e-05 \tabularnewline
137 & 0.999968868155987 & 6.22636880262698e-05 & 3.11318440131349e-05 \tabularnewline
138 & 0.999968993003127 & 6.20139937457491e-05 & 3.10069968728745e-05 \tabularnewline
139 & 0.999964587186809 & 7.08256263814647e-05 & 3.54128131907324e-05 \tabularnewline
140 & 0.999969000974499 & 6.19980510027706e-05 & 3.09990255013853e-05 \tabularnewline
141 & 0.999958334581534 & 8.3330836932554e-05 & 4.1665418466277e-05 \tabularnewline
142 & 0.999958495250042 & 8.30094999160651e-05 & 4.15047499580325e-05 \tabularnewline
143 & 0.999951286486954 & 9.7427026091448e-05 & 4.8713513045724e-05 \tabularnewline
144 & 0.999934658642821 & 0.000130682714357633 & 6.53413571788165e-05 \tabularnewline
145 & 0.999954858538605 & 9.02829227905989e-05 & 4.51414613952995e-05 \tabularnewline
146 & 0.999953385925648 & 9.32281487040846e-05 & 4.66140743520423e-05 \tabularnewline
147 & 0.999989734461068 & 2.05310778631185e-05 & 1.02655389315593e-05 \tabularnewline
148 & 0.999986672625872 & 2.66547482558132e-05 & 1.33273741279066e-05 \tabularnewline
149 & 0.999985942899317 & 2.81142013651245e-05 & 1.40571006825623e-05 \tabularnewline
150 & 0.999990593088847 & 1.88138223056321e-05 & 9.40691115281603e-06 \tabularnewline
151 & 0.999993942118466 & 1.21157630678381e-05 & 6.05788153391906e-06 \tabularnewline
152 & 0.999998376136298 & 3.24772740361618e-06 & 1.62386370180809e-06 \tabularnewline
153 & 0.999998046549417 & 3.9069011661641e-06 & 1.95345058308205e-06 \tabularnewline
154 & 0.999997797990392 & 4.40401921633858e-06 & 2.20200960816929e-06 \tabularnewline
155 & 0.999996921088029 & 6.15782394251482e-06 & 3.07891197125741e-06 \tabularnewline
156 & 0.999998095985688 & 3.80802862396015e-06 & 1.90401431198007e-06 \tabularnewline
157 & 0.99999748154129 & 5.03691741972024e-06 & 2.51845870986012e-06 \tabularnewline
158 & 0.9999968808752 & 6.23824959962862e-06 & 3.11912479981431e-06 \tabularnewline
159 & 0.999996994582214 & 6.01083557288499e-06 & 3.00541778644249e-06 \tabularnewline
160 & 0.99999574666987 & 8.50666025925666e-06 & 4.25333012962833e-06 \tabularnewline
161 & 0.999993849956699 & 1.23000866009291e-05 & 6.15004330046453e-06 \tabularnewline
162 & 0.999993636235792 & 1.27275284151824e-05 & 6.36376420759118e-06 \tabularnewline
163 & 0.999992931316383 & 1.41373672333345e-05 & 7.06868361666724e-06 \tabularnewline
164 & 0.999990936739934 & 1.81265201311196e-05 & 9.0632600655598e-06 \tabularnewline
165 & 0.9999926926409 & 1.46147181992773e-05 & 7.30735909963867e-06 \tabularnewline
166 & 0.999990593983732 & 1.88120325368089e-05 & 9.40601626840446e-06 \tabularnewline
167 & 0.999992095471184 & 1.58090576327121e-05 & 7.90452881635607e-06 \tabularnewline
168 & 0.999991440374896 & 1.71192502085263e-05 & 8.55962510426313e-06 \tabularnewline
169 & 0.999987825873197 & 2.43482536051455e-05 & 1.21741268025728e-05 \tabularnewline
170 & 0.999989688253492 & 2.06234930164302e-05 & 1.03117465082151e-05 \tabularnewline
171 & 0.999984817641092 & 3.0364717816503e-05 & 1.51823589082515e-05 \tabularnewline
172 & 0.999982444966401 & 3.51100671985369e-05 & 1.75550335992685e-05 \tabularnewline
173 & 0.999981561252421 & 3.68774951571753e-05 & 1.84387475785877e-05 \tabularnewline
174 & 0.999977086744549 & 4.58265109017336e-05 & 2.29132554508668e-05 \tabularnewline
175 & 0.999988288023318 & 2.34239533634166e-05 & 1.17119766817083e-05 \tabularnewline
176 & 0.999987864678073 & 2.42706438532542e-05 & 1.21353219266271e-05 \tabularnewline
177 & 0.999987328602835 & 2.53427943292011e-05 & 1.26713971646005e-05 \tabularnewline
178 & 0.999983342120975 & 3.33157580505842e-05 & 1.66578790252921e-05 \tabularnewline
179 & 0.999975543138892 & 4.89137222166507e-05 & 2.44568611083253e-05 \tabularnewline
180 & 0.999967999554925 & 6.40008901495911e-05 & 3.20004450747956e-05 \tabularnewline
181 & 0.999982384173928 & 3.52316521436958e-05 & 1.76158260718479e-05 \tabularnewline
182 & 0.999974825319535 & 5.03493609298703e-05 & 2.51746804649351e-05 \tabularnewline
183 & 0.999991848614884 & 1.63027702313037e-05 & 8.15138511565187e-06 \tabularnewline
184 & 0.999989779772983 & 2.04404540334097e-05 & 1.02202270167049e-05 \tabularnewline
185 & 0.999996558764169 & 6.88247166223064e-06 & 3.44123583111532e-06 \tabularnewline
186 & 0.999999016243228 & 1.96751354436803e-06 & 9.83756772184016e-07 \tabularnewline
187 & 0.999999278112518 & 1.44377496359377e-06 & 7.21887481796886e-07 \tabularnewline
188 & 0.999999842611457 & 3.1477708499823e-07 & 1.57388542499115e-07 \tabularnewline
189 & 0.999999761378727 & 4.77242546157677e-07 & 2.38621273078839e-07 \tabularnewline
190 & 0.999999997043972 & 5.91205517297853e-09 & 2.95602758648926e-09 \tabularnewline
191 & 0.999999994726929 & 1.05461413221169e-08 & 5.27307066105846e-09 \tabularnewline
192 & 0.999999990746776 & 1.85064483224736e-08 & 9.25322416123678e-09 \tabularnewline
193 & 0.999999989629038 & 2.07419240962556e-08 & 1.03709620481278e-08 \tabularnewline
194 & 0.999999992792621 & 1.4414757366903e-08 & 7.20737868345149e-09 \tabularnewline
195 & 0.999999988296091 & 2.3407818393904e-08 & 1.1703909196952e-08 \tabularnewline
196 & 0.999999987552014 & 2.48959728927615e-08 & 1.24479864463807e-08 \tabularnewline
197 & 0.999999980180436 & 3.96391278366968e-08 & 1.98195639183484e-08 \tabularnewline
198 & 0.999999984940253 & 3.01194948987498e-08 & 1.50597474493749e-08 \tabularnewline
199 & 0.999999975173483 & 4.96530329476975e-08 & 2.48265164738488e-08 \tabularnewline
200 & 0.999999966202199 & 6.75956021963927e-08 & 3.37978010981964e-08 \tabularnewline
201 & 0.999999943781305 & 1.12437389780391e-07 & 5.62186948901953e-08 \tabularnewline
202 & 0.999999991561016 & 1.68779682063067e-08 & 8.43898410315336e-09 \tabularnewline
203 & 0.999999986881273 & 2.6237454904323e-08 & 1.31187274521615e-08 \tabularnewline
204 & 0.999999982311511 & 3.53769781188631e-08 & 1.76884890594315e-08 \tabularnewline
205 & 0.999999971215336 & 5.75693288245285e-08 & 2.87846644122643e-08 \tabularnewline
206 & 0.999999982419508 & 3.51609832974211e-08 & 1.75804916487106e-08 \tabularnewline
207 & 0.999999968293074 & 6.34138517931897e-08 & 3.17069258965949e-08 \tabularnewline
208 & 0.999999954242609 & 9.15147815433341e-08 & 4.57573907716671e-08 \tabularnewline
209 & 0.999999922105895 & 1.55788210717795e-07 & 7.78941053588975e-08 \tabularnewline
210 & 0.999999945028133 & 1.09943734007967e-07 & 5.49718670039835e-08 \tabularnewline
211 & 0.999999961945727 & 7.61085452724742e-08 & 3.80542726362371e-08 \tabularnewline
212 & 0.999999937275852 & 1.25448294986156e-07 & 6.27241474930782e-08 \tabularnewline
213 & 0.999999897758951 & 2.04482097659565e-07 & 1.02241048829783e-07 \tabularnewline
214 & 0.999999834337195 & 3.31325610265367e-07 & 1.65662805132683e-07 \tabularnewline
215 & 0.999999931651939 & 1.36696121933912e-07 & 6.83480609669562e-08 \tabularnewline
216 & 0.999999966055008 & 6.78899845905317e-08 & 3.39449922952659e-08 \tabularnewline
217 & 0.999999940057985 & 1.19884031021295e-07 & 5.99420155106473e-08 \tabularnewline
218 & 0.999999906813473 & 1.86373053440266e-07 & 9.31865267201332e-08 \tabularnewline
219 & 0.999999834143948 & 3.31712103819225e-07 & 1.65856051909613e-07 \tabularnewline
220 & 0.999999745654781 & 5.08690438802628e-07 & 2.54345219401314e-07 \tabularnewline
221 & 0.999999607179867 & 7.85640265742293e-07 & 3.92820132871146e-07 \tabularnewline
222 & 0.999999326386298 & 1.34722740350742e-06 & 6.73613701753711e-07 \tabularnewline
223 & 0.999998842690103 & 2.31461979354447e-06 & 1.15730989677223e-06 \tabularnewline
224 & 0.999997972574473 & 4.05485105412024e-06 & 2.02742552706012e-06 \tabularnewline
225 & 0.999998623268898 & 2.75346220484921e-06 & 1.37673110242461e-06 \tabularnewline
226 & 0.999997860264643 & 4.27947071436408e-06 & 2.13973535718204e-06 \tabularnewline
227 & 0.99999879886925 & 2.40226149938112e-06 & 1.20113074969056e-06 \tabularnewline
228 & 0.999997979903103 & 4.04019379321159e-06 & 2.02009689660579e-06 \tabularnewline
229 & 0.999996619046909 & 6.7619061821685e-06 & 3.38095309108425e-06 \tabularnewline
230 & 0.999996068924607 & 7.86215078526467e-06 & 3.93107539263234e-06 \tabularnewline
231 & 0.999997845808359 & 4.30838328161294e-06 & 2.15419164080647e-06 \tabularnewline
232 & 0.999996805584622 & 6.38883075582936e-06 & 3.19441537791468e-06 \tabularnewline
233 & 0.999996533990066 & 6.93201986866291e-06 & 3.46600993433145e-06 \tabularnewline
234 & 0.999995244966512 & 9.51006697516951e-06 & 4.75503348758475e-06 \tabularnewline
235 & 0.999993941231422 & 1.21175371567839e-05 & 6.05876857839195e-06 \tabularnewline
236 & 0.99999128791997 & 1.74241600594793e-05 & 8.71208002973967e-06 \tabularnewline
237 & 0.999985286860381 & 2.94262792381103e-05 & 1.47131396190552e-05 \tabularnewline
238 & 0.999981850023653 & 3.62999526936003e-05 & 1.81499763468001e-05 \tabularnewline
239 & 0.999971787927021 & 5.64241459583125e-05 & 2.82120729791563e-05 \tabularnewline
240 & 0.99996885883588 & 6.22823282393277e-05 & 3.11411641196639e-05 \tabularnewline
241 & 0.999951334116272 & 9.73317674555484e-05 & 4.86658837277742e-05 \tabularnewline
242 & 0.999929238890587 & 0.000141522218825525 & 7.07611094127627e-05 \tabularnewline
243 & 0.999906766387673 & 0.000186467224653767 & 9.32336123268835e-05 \tabularnewline
244 & 0.999841705197972 & 0.000316589604056773 & 0.000158294802028386 \tabularnewline
245 & 0.999741056300147 & 0.000517887399706554 & 0.000258943699853277 \tabularnewline
246 & 0.999572448154478 & 0.000855103691043085 & 0.000427551845521542 \tabularnewline
247 & 0.99952462758839 & 0.000950744823219137 & 0.000475372411609568 \tabularnewline
248 & 0.999224009148254 & 0.00155198170349091 & 0.000775990851745456 \tabularnewline
249 & 0.999172741622055 & 0.00165451675588995 & 0.000827258377944973 \tabularnewline
250 & 0.999911440159781 & 0.000177119680437836 & 8.8559840218918e-05 \tabularnewline
251 & 0.999840089700879 & 0.000319820598242708 & 0.000159910299121354 \tabularnewline
252 & 0.99972215139469 & 0.000555697210620915 & 0.000277848605310457 \tabularnewline
253 & 0.999826140977226 & 0.000347718045547837 & 0.000173859022773918 \tabularnewline
254 & 0.999709776747393 & 0.000580446505214656 & 0.000290223252607328 \tabularnewline
255 & 0.999576602231288 & 0.000846795537423698 & 0.000423397768711849 \tabularnewline
256 & 0.999472725142962 & 0.0010545497140753 & 0.000527274857037651 \tabularnewline
257 & 0.999295307519656 & 0.00140938496068752 & 0.00070469248034376 \tabularnewline
258 & 0.998748545814185 & 0.00250290837163027 & 0.00125145418581513 \tabularnewline
259 & 0.998442824236718 & 0.00311435152656366 & 0.00155717576328183 \tabularnewline
260 & 0.997481496819947 & 0.00503700636010557 & 0.00251850318005279 \tabularnewline
261 & 0.998403837997842 & 0.00319232400431545 & 0.00159616200215773 \tabularnewline
262 & 0.997138190211871 & 0.0057236195762582 & 0.0028618097881291 \tabularnewline
263 & 0.995066866888463 & 0.00986626622307357 & 0.00493313311153679 \tabularnewline
264 & 0.991529695779473 & 0.0169406084410548 & 0.00847030422052742 \tabularnewline
265 & 0.986223497644718 & 0.0275530047105641 & 0.0137765023552821 \tabularnewline
266 & 0.979204753747819 & 0.0415904925043619 & 0.020795246252181 \tabularnewline
267 & 0.971277292905647 & 0.0574454141887056 & 0.0287227070943528 \tabularnewline
268 & 0.957571424797928 & 0.0848571504041435 & 0.0424285752020717 \tabularnewline
269 & 0.934201466505637 & 0.131597066988727 & 0.0657985334943635 \tabularnewline
270 & 0.90427715089094 & 0.19144569821812 & 0.0957228491090599 \tabularnewline
271 & 0.86167229893679 & 0.276655402126421 & 0.13832770106321 \tabularnewline
272 & 0.81905523941719 & 0.36188952116562 & 0.18094476058281 \tabularnewline
273 & 0.837134013195969 & 0.325731973608063 & 0.162865986804031 \tabularnewline
274 & 0.766206225845358 & 0.467587548309283 & 0.233793774154642 \tabularnewline
275 & 0.69556247771789 & 0.60887504456422 & 0.30443752228211 \tabularnewline
276 & 0.712987647797704 & 0.574024704404593 & 0.287012352202296 \tabularnewline
277 & 0.604908698371094 & 0.790182603257813 & 0.395091301628906 \tabularnewline
278 & 0.689744061427161 & 0.620511877145678 & 0.310255938572839 \tabularnewline
279 & 0.548499009206988 & 0.903001981586025 & 0.451500990793012 \tabularnewline
280 & 0.511546904697602 & 0.976906190604795 & 0.488453095302398 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157519&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]9[/C][C]0.229476824747821[/C][C]0.458953649495641[/C][C]0.770523175252179[/C][/ROW]
[ROW][C]10[/C][C]0.17226822570146[/C][C]0.34453645140292[/C][C]0.82773177429854[/C][/ROW]
[ROW][C]11[/C][C]0.16296810013075[/C][C]0.3259362002615[/C][C]0.83703189986925[/C][/ROW]
[ROW][C]12[/C][C]0.361717120335495[/C][C]0.72343424067099[/C][C]0.638282879664505[/C][/ROW]
[ROW][C]13[/C][C]0.66737444232859[/C][C]0.665251115342821[/C][C]0.33262555767141[/C][/ROW]
[ROW][C]14[/C][C]0.579647811475569[/C][C]0.840704377048863[/C][C]0.420352188524431[/C][/ROW]
[ROW][C]15[/C][C]0.486743691176143[/C][C]0.973487382352286[/C][C]0.513256308823857[/C][/ROW]
[ROW][C]16[/C][C]0.442927978914819[/C][C]0.885855957829638[/C][C]0.557072021085181[/C][/ROW]
[ROW][C]17[/C][C]0.462595075773681[/C][C]0.925190151547363[/C][C]0.537404924226319[/C][/ROW]
[ROW][C]18[/C][C]0.615088083870041[/C][C]0.769823832259919[/C][C]0.38491191612996[/C][/ROW]
[ROW][C]19[/C][C]0.57079875529889[/C][C]0.858402489402221[/C][C]0.42920124470111[/C][/ROW]
[ROW][C]20[/C][C]0.935901412503243[/C][C]0.128197174993515[/C][C]0.0640985874967574[/C][/ROW]
[ROW][C]21[/C][C]0.91829178974876[/C][C]0.16341642050248[/C][C]0.08170821025124[/C][/ROW]
[ROW][C]22[/C][C]0.903369163487406[/C][C]0.193261673025188[/C][C]0.0966308365125939[/C][/ROW]
[ROW][C]23[/C][C]0.876667607156157[/C][C]0.246664785687685[/C][C]0.123332392843843[/C][/ROW]
[ROW][C]24[/C][C]0.843111042886434[/C][C]0.313777914227132[/C][C]0.156888957113566[/C][/ROW]
[ROW][C]25[/C][C]0.845506453762895[/C][C]0.308987092474209[/C][C]0.154493546237105[/C][/ROW]
[ROW][C]26[/C][C]0.807521443447572[/C][C]0.384957113104856[/C][C]0.192478556552428[/C][/ROW]
[ROW][C]27[/C][C]0.766779886208448[/C][C]0.466440227583104[/C][C]0.233220113791552[/C][/ROW]
[ROW][C]28[/C][C]0.717429778627414[/C][C]0.565140442745171[/C][C]0.282570221372586[/C][/ROW]
[ROW][C]29[/C][C]0.666283516765043[/C][C]0.667432966469915[/C][C]0.333716483234957[/C][/ROW]
[ROW][C]30[/C][C]0.614992794378732[/C][C]0.770014411242536[/C][C]0.385007205621268[/C][/ROW]
[ROW][C]31[/C][C]0.558427934815158[/C][C]0.883144130369684[/C][C]0.441572065184842[/C][/ROW]
[ROW][C]32[/C][C]0.512446213881755[/C][C]0.975107572236491[/C][C]0.487553786118245[/C][/ROW]
[ROW][C]33[/C][C]0.531670175613248[/C][C]0.936659648773504[/C][C]0.468329824386752[/C][/ROW]
[ROW][C]34[/C][C]0.587014448222714[/C][C]0.825971103554571[/C][C]0.412985551777286[/C][/ROW]
[ROW][C]35[/C][C]0.597656692948329[/C][C]0.804686614103341[/C][C]0.402343307051671[/C][/ROW]
[ROW][C]36[/C][C]0.574776968983002[/C][C]0.850446062033996[/C][C]0.425223031016998[/C][/ROW]
[ROW][C]37[/C][C]0.623004831285044[/C][C]0.753990337429912[/C][C]0.376995168714956[/C][/ROW]
[ROW][C]38[/C][C]0.597761802504841[/C][C]0.804476394990317[/C][C]0.402238197495159[/C][/ROW]
[ROW][C]39[/C][C]0.596911361984537[/C][C]0.806177276030926[/C][C]0.403088638015463[/C][/ROW]
[ROW][C]40[/C][C]0.798950537775144[/C][C]0.402098924449711[/C][C]0.201049462224856[/C][/ROW]
[ROW][C]41[/C][C]0.763261758887512[/C][C]0.473476482224975[/C][C]0.236738241112488[/C][/ROW]
[ROW][C]42[/C][C]0.755729655508787[/C][C]0.488540688982426[/C][C]0.244270344491213[/C][/ROW]
[ROW][C]43[/C][C]0.725613279118033[/C][C]0.548773441763935[/C][C]0.274386720881967[/C][/ROW]
[ROW][C]44[/C][C]0.68314072166291[/C][C]0.63371855667418[/C][C]0.31685927833709[/C][/ROW]
[ROW][C]45[/C][C]0.638808273981231[/C][C]0.722383452037538[/C][C]0.361191726018769[/C][/ROW]
[ROW][C]46[/C][C]0.662396350656189[/C][C]0.675207298687623[/C][C]0.337603649343811[/C][/ROW]
[ROW][C]47[/C][C]0.623974884098494[/C][C]0.752050231803012[/C][C]0.376025115901506[/C][/ROW]
[ROW][C]48[/C][C]0.580610743599192[/C][C]0.838778512801616[/C][C]0.419389256400808[/C][/ROW]
[ROW][C]49[/C][C]0.560730579879983[/C][C]0.878538840240034[/C][C]0.439269420120017[/C][/ROW]
[ROW][C]50[/C][C]0.681694094788439[/C][C]0.636611810423122[/C][C]0.318305905211561[/C][/ROW]
[ROW][C]51[/C][C]0.648971309053564[/C][C]0.702057381892873[/C][C]0.351028690946436[/C][/ROW]
[ROW][C]52[/C][C]0.641399833033222[/C][C]0.717200333933555[/C][C]0.358600166966778[/C][/ROW]
[ROW][C]53[/C][C]0.633521103029534[/C][C]0.732957793940933[/C][C]0.366478896970466[/C][/ROW]
[ROW][C]54[/C][C]0.624112934002832[/C][C]0.751774131994336[/C][C]0.375887065997168[/C][/ROW]
[ROW][C]55[/C][C]0.590248865090311[/C][C]0.819502269819379[/C][C]0.409751134909689[/C][/ROW]
[ROW][C]56[/C][C]0.550613342841479[/C][C]0.898773314317043[/C][C]0.449386657158521[/C][/ROW]
[ROW][C]57[/C][C]0.633201523451542[/C][C]0.733596953096915[/C][C]0.366798476548458[/C][/ROW]
[ROW][C]58[/C][C]0.601854129115847[/C][C]0.796291741768306[/C][C]0.398145870884153[/C][/ROW]
[ROW][C]59[/C][C]0.563783828697054[/C][C]0.872432342605891[/C][C]0.436216171302946[/C][/ROW]
[ROW][C]60[/C][C]0.563022732845664[/C][C]0.873954534308672[/C][C]0.436977267154336[/C][/ROW]
[ROW][C]61[/C][C]0.522027448604566[/C][C]0.955945102790869[/C][C]0.477972551395434[/C][/ROW]
[ROW][C]62[/C][C]0.492419803479046[/C][C]0.984839606958091[/C][C]0.507580196520955[/C][/ROW]
[ROW][C]63[/C][C]0.6721234027042[/C][C]0.6557531945916[/C][C]0.3278765972958[/C][/ROW]
[ROW][C]64[/C][C]0.638514616113938[/C][C]0.722970767772125[/C][C]0.361485383886062[/C][/ROW]
[ROW][C]65[/C][C]0.803869301430364[/C][C]0.392261397139273[/C][C]0.196130698569636[/C][/ROW]
[ROW][C]66[/C][C]0.778120920258639[/C][C]0.443758159482722[/C][C]0.221879079741361[/C][/ROW]
[ROW][C]67[/C][C]0.749342228787211[/C][C]0.501315542425578[/C][C]0.250657771212789[/C][/ROW]
[ROW][C]68[/C][C]0.722896750647925[/C][C]0.55420649870415[/C][C]0.277103249352075[/C][/ROW]
[ROW][C]69[/C][C]0.884949268017628[/C][C]0.230101463964743[/C][C]0.115050731982372[/C][/ROW]
[ROW][C]70[/C][C]0.920927278495081[/C][C]0.158145443009837[/C][C]0.0790727215049186[/C][/ROW]
[ROW][C]71[/C][C]0.906963444765439[/C][C]0.186073110469121[/C][C]0.0930365552345605[/C][/ROW]
[ROW][C]72[/C][C]0.892180205707111[/C][C]0.215639588585778[/C][C]0.107819794292889[/C][/ROW]
[ROW][C]73[/C][C]0.874225672358532[/C][C]0.251548655282935[/C][C]0.125774327641468[/C][/ROW]
[ROW][C]74[/C][C]0.870086535764034[/C][C]0.259826928471932[/C][C]0.129913464235966[/C][/ROW]
[ROW][C]75[/C][C]0.872072377338945[/C][C]0.25585524532211[/C][C]0.127927622661055[/C][/ROW]
[ROW][C]76[/C][C]0.862952507853756[/C][C]0.274094984292488[/C][C]0.137047492146244[/C][/ROW]
[ROW][C]77[/C][C]0.851073211948599[/C][C]0.297853576102802[/C][C]0.148926788051401[/C][/ROW]
[ROW][C]78[/C][C]0.895881599308596[/C][C]0.208236801382807[/C][C]0.104118400691404[/C][/ROW]
[ROW][C]79[/C][C]0.888268182539133[/C][C]0.223463634921734[/C][C]0.111731817460867[/C][/ROW]
[ROW][C]80[/C][C]0.922350978257996[/C][C]0.155298043484008[/C][C]0.0776490217420042[/C][/ROW]
[ROW][C]81[/C][C]0.908989018006295[/C][C]0.18202196398741[/C][C]0.091010981993705[/C][/ROW]
[ROW][C]82[/C][C]0.905525547046963[/C][C]0.188948905906074[/C][C]0.0944744529530368[/C][/ROW]
[ROW][C]83[/C][C]0.891064616557199[/C][C]0.217870766885603[/C][C]0.108935383442801[/C][/ROW]
[ROW][C]84[/C][C]0.883806536190264[/C][C]0.232386927619472[/C][C]0.116193463809736[/C][/ROW]
[ROW][C]85[/C][C]0.885810193009176[/C][C]0.228379613981649[/C][C]0.114189806990825[/C][/ROW]
[ROW][C]86[/C][C]0.873301866624961[/C][C]0.253396266750078[/C][C]0.126698133375039[/C][/ROW]
[ROW][C]87[/C][C]0.878312996885521[/C][C]0.243374006228959[/C][C]0.121687003114479[/C][/ROW]
[ROW][C]88[/C][C]0.859590818173434[/C][C]0.280818363653132[/C][C]0.140409181826566[/C][/ROW]
[ROW][C]89[/C][C]0.848596260115399[/C][C]0.302807479769202[/C][C]0.151403739884601[/C][/ROW]
[ROW][C]90[/C][C]0.836217423820692[/C][C]0.327565152358617[/C][C]0.163782576179308[/C][/ROW]
[ROW][C]91[/C][C]0.818392425475176[/C][C]0.363215149049648[/C][C]0.181607574524824[/C][/ROW]
[ROW][C]92[/C][C]0.914555408328482[/C][C]0.170889183343036[/C][C]0.0854445916715178[/C][/ROW]
[ROW][C]93[/C][C]0.914690205560242[/C][C]0.170619588879517[/C][C]0.0853097944397584[/C][/ROW]
[ROW][C]94[/C][C]0.900266177644[/C][C]0.199467644712[/C][C]0.0997338223560002[/C][/ROW]
[ROW][C]95[/C][C]0.888035238218267[/C][C]0.223929523563467[/C][C]0.111964761781733[/C][/ROW]
[ROW][C]96[/C][C]0.870301196509517[/C][C]0.259397606980966[/C][C]0.129698803490483[/C][/ROW]
[ROW][C]97[/C][C]0.953859012841315[/C][C]0.0922819743173695[/C][C]0.0461409871586847[/C][/ROW]
[ROW][C]98[/C][C]0.948263114359346[/C][C]0.103473771281308[/C][C]0.0517368856406538[/C][/ROW]
[ROW][C]99[/C][C]0.956411026674688[/C][C]0.0871779466506239[/C][C]0.0435889733253119[/C][/ROW]
[ROW][C]100[/C][C]0.948197319647721[/C][C]0.103605360704559[/C][C]0.0518026803522794[/C][/ROW]
[ROW][C]101[/C][C]0.9407322058441[/C][C]0.1185355883118[/C][C]0.0592677941559001[/C][/ROW]
[ROW][C]102[/C][C]0.940271606341661[/C][C]0.119456787316679[/C][C]0.0597283936583395[/C][/ROW]
[ROW][C]103[/C][C]0.934687275196725[/C][C]0.13062544960655[/C][C]0.0653127248032749[/C][/ROW]
[ROW][C]104[/C][C]0.928028651477934[/C][C]0.143942697044132[/C][C]0.0719713485220659[/C][/ROW]
[ROW][C]105[/C][C]0.940808175481376[/C][C]0.118383649037248[/C][C]0.059191824518624[/C][/ROW]
[ROW][C]106[/C][C]0.960476954072689[/C][C]0.0790460918546226[/C][C]0.0395230459273113[/C][/ROW]
[ROW][C]107[/C][C]0.986783672903939[/C][C]0.026432654192123[/C][C]0.0132163270960615[/C][/ROW]
[ROW][C]108[/C][C]0.98442169920786[/C][C]0.0311566015842804[/C][C]0.0155783007921402[/C][/ROW]
[ROW][C]109[/C][C]0.99924995001415[/C][C]0.00150009997169985[/C][C]0.000750049985849927[/C][/ROW]
[ROW][C]110[/C][C]0.999451274770312[/C][C]0.00109745045937578[/C][C]0.000548725229687892[/C][/ROW]
[ROW][C]111[/C][C]0.999432945782798[/C][C]0.001134108434405[/C][C]0.000567054217202502[/C][/ROW]
[ROW][C]112[/C][C]0.999694451186946[/C][C]0.000611097626107702[/C][C]0.000305548813053851[/C][/ROW]
[ROW][C]113[/C][C]0.999605271673458[/C][C]0.000789456653083468[/C][C]0.000394728326541734[/C][/ROW]
[ROW][C]114[/C][C]0.999532650538228[/C][C]0.000934698923543841[/C][C]0.00046734946177192[/C][/ROW]
[ROW][C]115[/C][C]0.999488341670143[/C][C]0.00102331665971427[/C][C]0.000511658329857135[/C][/ROW]
[ROW][C]116[/C][C]0.999313714666178[/C][C]0.00137257066764355[/C][C]0.000686285333821775[/C][/ROW]
[ROW][C]117[/C][C]0.9990791025404[/C][C]0.00184179491919991[/C][C]0.000920897459599956[/C][/ROW]
[ROW][C]118[/C][C]0.999064708801127[/C][C]0.00187058239774543[/C][C]0.000935291198872717[/C][/ROW]
[ROW][C]119[/C][C]0.999798697291628[/C][C]0.000402605416743118[/C][C]0.000201302708371559[/C][/ROW]
[ROW][C]120[/C][C]0.999754234079861[/C][C]0.000491531840277081[/C][C]0.000245765920138541[/C][/ROW]
[ROW][C]121[/C][C]0.999694462628655[/C][C]0.000611074742689047[/C][C]0.000305537371344524[/C][/ROW]
[ROW][C]122[/C][C]0.9996806461486[/C][C]0.000638707702800813[/C][C]0.000319353851400406[/C][/ROW]
[ROW][C]123[/C][C]0.999632610544928[/C][C]0.000734778910144138[/C][C]0.000367389455072069[/C][/ROW]
[ROW][C]124[/C][C]0.999509177554658[/C][C]0.000981644890684684[/C][C]0.000490822445342342[/C][/ROW]
[ROW][C]125[/C][C]0.999401407241208[/C][C]0.00119718551758486[/C][C]0.000598592758792428[/C][/ROW]
[ROW][C]126[/C][C]0.999504922611878[/C][C]0.000990154776243863[/C][C]0.000495077388121932[/C][/ROW]
[ROW][C]127[/C][C]0.999537494434061[/C][C]0.000925011131877877[/C][C]0.000462505565938938[/C][/ROW]
[ROW][C]128[/C][C]0.999414126773583[/C][C]0.00117174645283447[/C][C]0.000585873226417236[/C][/ROW]
[ROW][C]129[/C][C]0.999584477203638[/C][C]0.00083104559272412[/C][C]0.00041552279636206[/C][/ROW]
[ROW][C]130[/C][C]0.999830859141845[/C][C]0.000338281716310088[/C][C]0.000169140858155044[/C][/ROW]
[ROW][C]131[/C][C]0.999813589153291[/C][C]0.000372821693418942[/C][C]0.000186410846709471[/C][/ROW]
[ROW][C]132[/C][C]0.999781948480828[/C][C]0.000436103038343479[/C][C]0.00021805151917174[/C][/ROW]
[ROW][C]133[/C][C]0.999778586921287[/C][C]0.000442826157426051[/C][C]0.000221413078713026[/C][/ROW]
[ROW][C]134[/C][C]0.999779830316316[/C][C]0.000440339367367308[/C][C]0.000220169683683654[/C][/ROW]
[ROW][C]135[/C][C]0.999910517466266[/C][C]0.000178965067468078[/C][C]8.9482533734039e-05[/C][/ROW]
[ROW][C]136[/C][C]0.999914107672398[/C][C]0.000171784655203616[/C][C]8.58923276018082e-05[/C][/ROW]
[ROW][C]137[/C][C]0.999968868155987[/C][C]6.22636880262698e-05[/C][C]3.11318440131349e-05[/C][/ROW]
[ROW][C]138[/C][C]0.999968993003127[/C][C]6.20139937457491e-05[/C][C]3.10069968728745e-05[/C][/ROW]
[ROW][C]139[/C][C]0.999964587186809[/C][C]7.08256263814647e-05[/C][C]3.54128131907324e-05[/C][/ROW]
[ROW][C]140[/C][C]0.999969000974499[/C][C]6.19980510027706e-05[/C][C]3.09990255013853e-05[/C][/ROW]
[ROW][C]141[/C][C]0.999958334581534[/C][C]8.3330836932554e-05[/C][C]4.1665418466277e-05[/C][/ROW]
[ROW][C]142[/C][C]0.999958495250042[/C][C]8.30094999160651e-05[/C][C]4.15047499580325e-05[/C][/ROW]
[ROW][C]143[/C][C]0.999951286486954[/C][C]9.7427026091448e-05[/C][C]4.8713513045724e-05[/C][/ROW]
[ROW][C]144[/C][C]0.999934658642821[/C][C]0.000130682714357633[/C][C]6.53413571788165e-05[/C][/ROW]
[ROW][C]145[/C][C]0.999954858538605[/C][C]9.02829227905989e-05[/C][C]4.51414613952995e-05[/C][/ROW]
[ROW][C]146[/C][C]0.999953385925648[/C][C]9.32281487040846e-05[/C][C]4.66140743520423e-05[/C][/ROW]
[ROW][C]147[/C][C]0.999989734461068[/C][C]2.05310778631185e-05[/C][C]1.02655389315593e-05[/C][/ROW]
[ROW][C]148[/C][C]0.999986672625872[/C][C]2.66547482558132e-05[/C][C]1.33273741279066e-05[/C][/ROW]
[ROW][C]149[/C][C]0.999985942899317[/C][C]2.81142013651245e-05[/C][C]1.40571006825623e-05[/C][/ROW]
[ROW][C]150[/C][C]0.999990593088847[/C][C]1.88138223056321e-05[/C][C]9.40691115281603e-06[/C][/ROW]
[ROW][C]151[/C][C]0.999993942118466[/C][C]1.21157630678381e-05[/C][C]6.05788153391906e-06[/C][/ROW]
[ROW][C]152[/C][C]0.999998376136298[/C][C]3.24772740361618e-06[/C][C]1.62386370180809e-06[/C][/ROW]
[ROW][C]153[/C][C]0.999998046549417[/C][C]3.9069011661641e-06[/C][C]1.95345058308205e-06[/C][/ROW]
[ROW][C]154[/C][C]0.999997797990392[/C][C]4.40401921633858e-06[/C][C]2.20200960816929e-06[/C][/ROW]
[ROW][C]155[/C][C]0.999996921088029[/C][C]6.15782394251482e-06[/C][C]3.07891197125741e-06[/C][/ROW]
[ROW][C]156[/C][C]0.999998095985688[/C][C]3.80802862396015e-06[/C][C]1.90401431198007e-06[/C][/ROW]
[ROW][C]157[/C][C]0.99999748154129[/C][C]5.03691741972024e-06[/C][C]2.51845870986012e-06[/C][/ROW]
[ROW][C]158[/C][C]0.9999968808752[/C][C]6.23824959962862e-06[/C][C]3.11912479981431e-06[/C][/ROW]
[ROW][C]159[/C][C]0.999996994582214[/C][C]6.01083557288499e-06[/C][C]3.00541778644249e-06[/C][/ROW]
[ROW][C]160[/C][C]0.99999574666987[/C][C]8.50666025925666e-06[/C][C]4.25333012962833e-06[/C][/ROW]
[ROW][C]161[/C][C]0.999993849956699[/C][C]1.23000866009291e-05[/C][C]6.15004330046453e-06[/C][/ROW]
[ROW][C]162[/C][C]0.999993636235792[/C][C]1.27275284151824e-05[/C][C]6.36376420759118e-06[/C][/ROW]
[ROW][C]163[/C][C]0.999992931316383[/C][C]1.41373672333345e-05[/C][C]7.06868361666724e-06[/C][/ROW]
[ROW][C]164[/C][C]0.999990936739934[/C][C]1.81265201311196e-05[/C][C]9.0632600655598e-06[/C][/ROW]
[ROW][C]165[/C][C]0.9999926926409[/C][C]1.46147181992773e-05[/C][C]7.30735909963867e-06[/C][/ROW]
[ROW][C]166[/C][C]0.999990593983732[/C][C]1.88120325368089e-05[/C][C]9.40601626840446e-06[/C][/ROW]
[ROW][C]167[/C][C]0.999992095471184[/C][C]1.58090576327121e-05[/C][C]7.90452881635607e-06[/C][/ROW]
[ROW][C]168[/C][C]0.999991440374896[/C][C]1.71192502085263e-05[/C][C]8.55962510426313e-06[/C][/ROW]
[ROW][C]169[/C][C]0.999987825873197[/C][C]2.43482536051455e-05[/C][C]1.21741268025728e-05[/C][/ROW]
[ROW][C]170[/C][C]0.999989688253492[/C][C]2.06234930164302e-05[/C][C]1.03117465082151e-05[/C][/ROW]
[ROW][C]171[/C][C]0.999984817641092[/C][C]3.0364717816503e-05[/C][C]1.51823589082515e-05[/C][/ROW]
[ROW][C]172[/C][C]0.999982444966401[/C][C]3.51100671985369e-05[/C][C]1.75550335992685e-05[/C][/ROW]
[ROW][C]173[/C][C]0.999981561252421[/C][C]3.68774951571753e-05[/C][C]1.84387475785877e-05[/C][/ROW]
[ROW][C]174[/C][C]0.999977086744549[/C][C]4.58265109017336e-05[/C][C]2.29132554508668e-05[/C][/ROW]
[ROW][C]175[/C][C]0.999988288023318[/C][C]2.34239533634166e-05[/C][C]1.17119766817083e-05[/C][/ROW]
[ROW][C]176[/C][C]0.999987864678073[/C][C]2.42706438532542e-05[/C][C]1.21353219266271e-05[/C][/ROW]
[ROW][C]177[/C][C]0.999987328602835[/C][C]2.53427943292011e-05[/C][C]1.26713971646005e-05[/C][/ROW]
[ROW][C]178[/C][C]0.999983342120975[/C][C]3.33157580505842e-05[/C][C]1.66578790252921e-05[/C][/ROW]
[ROW][C]179[/C][C]0.999975543138892[/C][C]4.89137222166507e-05[/C][C]2.44568611083253e-05[/C][/ROW]
[ROW][C]180[/C][C]0.999967999554925[/C][C]6.40008901495911e-05[/C][C]3.20004450747956e-05[/C][/ROW]
[ROW][C]181[/C][C]0.999982384173928[/C][C]3.52316521436958e-05[/C][C]1.76158260718479e-05[/C][/ROW]
[ROW][C]182[/C][C]0.999974825319535[/C][C]5.03493609298703e-05[/C][C]2.51746804649351e-05[/C][/ROW]
[ROW][C]183[/C][C]0.999991848614884[/C][C]1.63027702313037e-05[/C][C]8.15138511565187e-06[/C][/ROW]
[ROW][C]184[/C][C]0.999989779772983[/C][C]2.04404540334097e-05[/C][C]1.02202270167049e-05[/C][/ROW]
[ROW][C]185[/C][C]0.999996558764169[/C][C]6.88247166223064e-06[/C][C]3.44123583111532e-06[/C][/ROW]
[ROW][C]186[/C][C]0.999999016243228[/C][C]1.96751354436803e-06[/C][C]9.83756772184016e-07[/C][/ROW]
[ROW][C]187[/C][C]0.999999278112518[/C][C]1.44377496359377e-06[/C][C]7.21887481796886e-07[/C][/ROW]
[ROW][C]188[/C][C]0.999999842611457[/C][C]3.1477708499823e-07[/C][C]1.57388542499115e-07[/C][/ROW]
[ROW][C]189[/C][C]0.999999761378727[/C][C]4.77242546157677e-07[/C][C]2.38621273078839e-07[/C][/ROW]
[ROW][C]190[/C][C]0.999999997043972[/C][C]5.91205517297853e-09[/C][C]2.95602758648926e-09[/C][/ROW]
[ROW][C]191[/C][C]0.999999994726929[/C][C]1.05461413221169e-08[/C][C]5.27307066105846e-09[/C][/ROW]
[ROW][C]192[/C][C]0.999999990746776[/C][C]1.85064483224736e-08[/C][C]9.25322416123678e-09[/C][/ROW]
[ROW][C]193[/C][C]0.999999989629038[/C][C]2.07419240962556e-08[/C][C]1.03709620481278e-08[/C][/ROW]
[ROW][C]194[/C][C]0.999999992792621[/C][C]1.4414757366903e-08[/C][C]7.20737868345149e-09[/C][/ROW]
[ROW][C]195[/C][C]0.999999988296091[/C][C]2.3407818393904e-08[/C][C]1.1703909196952e-08[/C][/ROW]
[ROW][C]196[/C][C]0.999999987552014[/C][C]2.48959728927615e-08[/C][C]1.24479864463807e-08[/C][/ROW]
[ROW][C]197[/C][C]0.999999980180436[/C][C]3.96391278366968e-08[/C][C]1.98195639183484e-08[/C][/ROW]
[ROW][C]198[/C][C]0.999999984940253[/C][C]3.01194948987498e-08[/C][C]1.50597474493749e-08[/C][/ROW]
[ROW][C]199[/C][C]0.999999975173483[/C][C]4.96530329476975e-08[/C][C]2.48265164738488e-08[/C][/ROW]
[ROW][C]200[/C][C]0.999999966202199[/C][C]6.75956021963927e-08[/C][C]3.37978010981964e-08[/C][/ROW]
[ROW][C]201[/C][C]0.999999943781305[/C][C]1.12437389780391e-07[/C][C]5.62186948901953e-08[/C][/ROW]
[ROW][C]202[/C][C]0.999999991561016[/C][C]1.68779682063067e-08[/C][C]8.43898410315336e-09[/C][/ROW]
[ROW][C]203[/C][C]0.999999986881273[/C][C]2.6237454904323e-08[/C][C]1.31187274521615e-08[/C][/ROW]
[ROW][C]204[/C][C]0.999999982311511[/C][C]3.53769781188631e-08[/C][C]1.76884890594315e-08[/C][/ROW]
[ROW][C]205[/C][C]0.999999971215336[/C][C]5.75693288245285e-08[/C][C]2.87846644122643e-08[/C][/ROW]
[ROW][C]206[/C][C]0.999999982419508[/C][C]3.51609832974211e-08[/C][C]1.75804916487106e-08[/C][/ROW]
[ROW][C]207[/C][C]0.999999968293074[/C][C]6.34138517931897e-08[/C][C]3.17069258965949e-08[/C][/ROW]
[ROW][C]208[/C][C]0.999999954242609[/C][C]9.15147815433341e-08[/C][C]4.57573907716671e-08[/C][/ROW]
[ROW][C]209[/C][C]0.999999922105895[/C][C]1.55788210717795e-07[/C][C]7.78941053588975e-08[/C][/ROW]
[ROW][C]210[/C][C]0.999999945028133[/C][C]1.09943734007967e-07[/C][C]5.49718670039835e-08[/C][/ROW]
[ROW][C]211[/C][C]0.999999961945727[/C][C]7.61085452724742e-08[/C][C]3.80542726362371e-08[/C][/ROW]
[ROW][C]212[/C][C]0.999999937275852[/C][C]1.25448294986156e-07[/C][C]6.27241474930782e-08[/C][/ROW]
[ROW][C]213[/C][C]0.999999897758951[/C][C]2.04482097659565e-07[/C][C]1.02241048829783e-07[/C][/ROW]
[ROW][C]214[/C][C]0.999999834337195[/C][C]3.31325610265367e-07[/C][C]1.65662805132683e-07[/C][/ROW]
[ROW][C]215[/C][C]0.999999931651939[/C][C]1.36696121933912e-07[/C][C]6.83480609669562e-08[/C][/ROW]
[ROW][C]216[/C][C]0.999999966055008[/C][C]6.78899845905317e-08[/C][C]3.39449922952659e-08[/C][/ROW]
[ROW][C]217[/C][C]0.999999940057985[/C][C]1.19884031021295e-07[/C][C]5.99420155106473e-08[/C][/ROW]
[ROW][C]218[/C][C]0.999999906813473[/C][C]1.86373053440266e-07[/C][C]9.31865267201332e-08[/C][/ROW]
[ROW][C]219[/C][C]0.999999834143948[/C][C]3.31712103819225e-07[/C][C]1.65856051909613e-07[/C][/ROW]
[ROW][C]220[/C][C]0.999999745654781[/C][C]5.08690438802628e-07[/C][C]2.54345219401314e-07[/C][/ROW]
[ROW][C]221[/C][C]0.999999607179867[/C][C]7.85640265742293e-07[/C][C]3.92820132871146e-07[/C][/ROW]
[ROW][C]222[/C][C]0.999999326386298[/C][C]1.34722740350742e-06[/C][C]6.73613701753711e-07[/C][/ROW]
[ROW][C]223[/C][C]0.999998842690103[/C][C]2.31461979354447e-06[/C][C]1.15730989677223e-06[/C][/ROW]
[ROW][C]224[/C][C]0.999997972574473[/C][C]4.05485105412024e-06[/C][C]2.02742552706012e-06[/C][/ROW]
[ROW][C]225[/C][C]0.999998623268898[/C][C]2.75346220484921e-06[/C][C]1.37673110242461e-06[/C][/ROW]
[ROW][C]226[/C][C]0.999997860264643[/C][C]4.27947071436408e-06[/C][C]2.13973535718204e-06[/C][/ROW]
[ROW][C]227[/C][C]0.99999879886925[/C][C]2.40226149938112e-06[/C][C]1.20113074969056e-06[/C][/ROW]
[ROW][C]228[/C][C]0.999997979903103[/C][C]4.04019379321159e-06[/C][C]2.02009689660579e-06[/C][/ROW]
[ROW][C]229[/C][C]0.999996619046909[/C][C]6.7619061821685e-06[/C][C]3.38095309108425e-06[/C][/ROW]
[ROW][C]230[/C][C]0.999996068924607[/C][C]7.86215078526467e-06[/C][C]3.93107539263234e-06[/C][/ROW]
[ROW][C]231[/C][C]0.999997845808359[/C][C]4.30838328161294e-06[/C][C]2.15419164080647e-06[/C][/ROW]
[ROW][C]232[/C][C]0.999996805584622[/C][C]6.38883075582936e-06[/C][C]3.19441537791468e-06[/C][/ROW]
[ROW][C]233[/C][C]0.999996533990066[/C][C]6.93201986866291e-06[/C][C]3.46600993433145e-06[/C][/ROW]
[ROW][C]234[/C][C]0.999995244966512[/C][C]9.51006697516951e-06[/C][C]4.75503348758475e-06[/C][/ROW]
[ROW][C]235[/C][C]0.999993941231422[/C][C]1.21175371567839e-05[/C][C]6.05876857839195e-06[/C][/ROW]
[ROW][C]236[/C][C]0.99999128791997[/C][C]1.74241600594793e-05[/C][C]8.71208002973967e-06[/C][/ROW]
[ROW][C]237[/C][C]0.999985286860381[/C][C]2.94262792381103e-05[/C][C]1.47131396190552e-05[/C][/ROW]
[ROW][C]238[/C][C]0.999981850023653[/C][C]3.62999526936003e-05[/C][C]1.81499763468001e-05[/C][/ROW]
[ROW][C]239[/C][C]0.999971787927021[/C][C]5.64241459583125e-05[/C][C]2.82120729791563e-05[/C][/ROW]
[ROW][C]240[/C][C]0.99996885883588[/C][C]6.22823282393277e-05[/C][C]3.11411641196639e-05[/C][/ROW]
[ROW][C]241[/C][C]0.999951334116272[/C][C]9.73317674555484e-05[/C][C]4.86658837277742e-05[/C][/ROW]
[ROW][C]242[/C][C]0.999929238890587[/C][C]0.000141522218825525[/C][C]7.07611094127627e-05[/C][/ROW]
[ROW][C]243[/C][C]0.999906766387673[/C][C]0.000186467224653767[/C][C]9.32336123268835e-05[/C][/ROW]
[ROW][C]244[/C][C]0.999841705197972[/C][C]0.000316589604056773[/C][C]0.000158294802028386[/C][/ROW]
[ROW][C]245[/C][C]0.999741056300147[/C][C]0.000517887399706554[/C][C]0.000258943699853277[/C][/ROW]
[ROW][C]246[/C][C]0.999572448154478[/C][C]0.000855103691043085[/C][C]0.000427551845521542[/C][/ROW]
[ROW][C]247[/C][C]0.99952462758839[/C][C]0.000950744823219137[/C][C]0.000475372411609568[/C][/ROW]
[ROW][C]248[/C][C]0.999224009148254[/C][C]0.00155198170349091[/C][C]0.000775990851745456[/C][/ROW]
[ROW][C]249[/C][C]0.999172741622055[/C][C]0.00165451675588995[/C][C]0.000827258377944973[/C][/ROW]
[ROW][C]250[/C][C]0.999911440159781[/C][C]0.000177119680437836[/C][C]8.8559840218918e-05[/C][/ROW]
[ROW][C]251[/C][C]0.999840089700879[/C][C]0.000319820598242708[/C][C]0.000159910299121354[/C][/ROW]
[ROW][C]252[/C][C]0.99972215139469[/C][C]0.000555697210620915[/C][C]0.000277848605310457[/C][/ROW]
[ROW][C]253[/C][C]0.999826140977226[/C][C]0.000347718045547837[/C][C]0.000173859022773918[/C][/ROW]
[ROW][C]254[/C][C]0.999709776747393[/C][C]0.000580446505214656[/C][C]0.000290223252607328[/C][/ROW]
[ROW][C]255[/C][C]0.999576602231288[/C][C]0.000846795537423698[/C][C]0.000423397768711849[/C][/ROW]
[ROW][C]256[/C][C]0.999472725142962[/C][C]0.0010545497140753[/C][C]0.000527274857037651[/C][/ROW]
[ROW][C]257[/C][C]0.999295307519656[/C][C]0.00140938496068752[/C][C]0.00070469248034376[/C][/ROW]
[ROW][C]258[/C][C]0.998748545814185[/C][C]0.00250290837163027[/C][C]0.00125145418581513[/C][/ROW]
[ROW][C]259[/C][C]0.998442824236718[/C][C]0.00311435152656366[/C][C]0.00155717576328183[/C][/ROW]
[ROW][C]260[/C][C]0.997481496819947[/C][C]0.00503700636010557[/C][C]0.00251850318005279[/C][/ROW]
[ROW][C]261[/C][C]0.998403837997842[/C][C]0.00319232400431545[/C][C]0.00159616200215773[/C][/ROW]
[ROW][C]262[/C][C]0.997138190211871[/C][C]0.0057236195762582[/C][C]0.0028618097881291[/C][/ROW]
[ROW][C]263[/C][C]0.995066866888463[/C][C]0.00986626622307357[/C][C]0.00493313311153679[/C][/ROW]
[ROW][C]264[/C][C]0.991529695779473[/C][C]0.0169406084410548[/C][C]0.00847030422052742[/C][/ROW]
[ROW][C]265[/C][C]0.986223497644718[/C][C]0.0275530047105641[/C][C]0.0137765023552821[/C][/ROW]
[ROW][C]266[/C][C]0.979204753747819[/C][C]0.0415904925043619[/C][C]0.020795246252181[/C][/ROW]
[ROW][C]267[/C][C]0.971277292905647[/C][C]0.0574454141887056[/C][C]0.0287227070943528[/C][/ROW]
[ROW][C]268[/C][C]0.957571424797928[/C][C]0.0848571504041435[/C][C]0.0424285752020717[/C][/ROW]
[ROW][C]269[/C][C]0.934201466505637[/C][C]0.131597066988727[/C][C]0.0657985334943635[/C][/ROW]
[ROW][C]270[/C][C]0.90427715089094[/C][C]0.19144569821812[/C][C]0.0957228491090599[/C][/ROW]
[ROW][C]271[/C][C]0.86167229893679[/C][C]0.276655402126421[/C][C]0.13832770106321[/C][/ROW]
[ROW][C]272[/C][C]0.81905523941719[/C][C]0.36188952116562[/C][C]0.18094476058281[/C][/ROW]
[ROW][C]273[/C][C]0.837134013195969[/C][C]0.325731973608063[/C][C]0.162865986804031[/C][/ROW]
[ROW][C]274[/C][C]0.766206225845358[/C][C]0.467587548309283[/C][C]0.233793774154642[/C][/ROW]
[ROW][C]275[/C][C]0.69556247771789[/C][C]0.60887504456422[/C][C]0.30443752228211[/C][/ROW]
[ROW][C]276[/C][C]0.712987647797704[/C][C]0.574024704404593[/C][C]0.287012352202296[/C][/ROW]
[ROW][C]277[/C][C]0.604908698371094[/C][C]0.790182603257813[/C][C]0.395091301628906[/C][/ROW]
[ROW][C]278[/C][C]0.689744061427161[/C][C]0.620511877145678[/C][C]0.310255938572839[/C][/ROW]
[ROW][C]279[/C][C]0.548499009206988[/C][C]0.903001981586025[/C][C]0.451500990793012[/C][/ROW]
[ROW][C]280[/C][C]0.511546904697602[/C][C]0.976906190604795[/C][C]0.488453095302398[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157519&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157519&T=5

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.2294768247478210.4589536494956410.770523175252179
100.172268225701460.344536451402920.82773177429854
110.162968100130750.32593620026150.83703189986925
120.3617171203354950.723434240670990.638282879664505
130.667374442328590.6652511153428210.33262555767141
140.5796478114755690.8407043770488630.420352188524431
150.4867436911761430.9734873823522860.513256308823857
160.4429279789148190.8858559578296380.557072021085181
170.4625950757736810.9251901515473630.537404924226319
180.6150880838700410.7698238322599190.38491191612996
190.570798755298890.8584024894022210.42920124470111
200.9359014125032430.1281971749935150.0640985874967574
210.918291789748760.163416420502480.08170821025124
220.9033691634874060.1932616730251880.0966308365125939
230.8766676071561570.2466647856876850.123332392843843
240.8431110428864340.3137779142271320.156888957113566
250.8455064537628950.3089870924742090.154493546237105
260.8075214434475720.3849571131048560.192478556552428
270.7667798862084480.4664402275831040.233220113791552
280.7174297786274140.5651404427451710.282570221372586
290.6662835167650430.6674329664699150.333716483234957
300.6149927943787320.7700144112425360.385007205621268
310.5584279348151580.8831441303696840.441572065184842
320.5124462138817550.9751075722364910.487553786118245
330.5316701756132480.9366596487735040.468329824386752
340.5870144482227140.8259711035545710.412985551777286
350.5976566929483290.8046866141033410.402343307051671
360.5747769689830020.8504460620339960.425223031016998
370.6230048312850440.7539903374299120.376995168714956
380.5977618025048410.8044763949903170.402238197495159
390.5969113619845370.8061772760309260.403088638015463
400.7989505377751440.4020989244497110.201049462224856
410.7632617588875120.4734764822249750.236738241112488
420.7557296555087870.4885406889824260.244270344491213
430.7256132791180330.5487734417639350.274386720881967
440.683140721662910.633718556674180.31685927833709
450.6388082739812310.7223834520375380.361191726018769
460.6623963506561890.6752072986876230.337603649343811
470.6239748840984940.7520502318030120.376025115901506
480.5806107435991920.8387785128016160.419389256400808
490.5607305798799830.8785388402400340.439269420120017
500.6816940947884390.6366118104231220.318305905211561
510.6489713090535640.7020573818928730.351028690946436
520.6413998330332220.7172003339335550.358600166966778
530.6335211030295340.7329577939409330.366478896970466
540.6241129340028320.7517741319943360.375887065997168
550.5902488650903110.8195022698193790.409751134909689
560.5506133428414790.8987733143170430.449386657158521
570.6332015234515420.7335969530969150.366798476548458
580.6018541291158470.7962917417683060.398145870884153
590.5637838286970540.8724323426058910.436216171302946
600.5630227328456640.8739545343086720.436977267154336
610.5220274486045660.9559451027908690.477972551395434
620.4924198034790460.9848396069580910.507580196520955
630.67212340270420.65575319459160.3278765972958
640.6385146161139380.7229707677721250.361485383886062
650.8038693014303640.3922613971392730.196130698569636
660.7781209202586390.4437581594827220.221879079741361
670.7493422287872110.5013155424255780.250657771212789
680.7228967506479250.554206498704150.277103249352075
690.8849492680176280.2301014639647430.115050731982372
700.9209272784950810.1581454430098370.0790727215049186
710.9069634447654390.1860731104691210.0930365552345605
720.8921802057071110.2156395885857780.107819794292889
730.8742256723585320.2515486552829350.125774327641468
740.8700865357640340.2598269284719320.129913464235966
750.8720723773389450.255855245322110.127927622661055
760.8629525078537560.2740949842924880.137047492146244
770.8510732119485990.2978535761028020.148926788051401
780.8958815993085960.2082368013828070.104118400691404
790.8882681825391330.2234636349217340.111731817460867
800.9223509782579960.1552980434840080.0776490217420042
810.9089890180062950.182021963987410.091010981993705
820.9055255470469630.1889489059060740.0944744529530368
830.8910646165571990.2178707668856030.108935383442801
840.8838065361902640.2323869276194720.116193463809736
850.8858101930091760.2283796139816490.114189806990825
860.8733018666249610.2533962667500780.126698133375039
870.8783129968855210.2433740062289590.121687003114479
880.8595908181734340.2808183636531320.140409181826566
890.8485962601153990.3028074797692020.151403739884601
900.8362174238206920.3275651523586170.163782576179308
910.8183924254751760.3632151490496480.181607574524824
920.9145554083284820.1708891833430360.0854445916715178
930.9146902055602420.1706195888795170.0853097944397584
940.9002661776440.1994676447120.0997338223560002
950.8880352382182670.2239295235634670.111964761781733
960.8703011965095170.2593976069809660.129698803490483
970.9538590128413150.09228197431736950.0461409871586847
980.9482631143593460.1034737712813080.0517368856406538
990.9564110266746880.08717794665062390.0435889733253119
1000.9481973196477210.1036053607045590.0518026803522794
1010.94073220584410.11853558831180.0592677941559001
1020.9402716063416610.1194567873166790.0597283936583395
1030.9346872751967250.130625449606550.0653127248032749
1040.9280286514779340.1439426970441320.0719713485220659
1050.9408081754813760.1183836490372480.059191824518624
1060.9604769540726890.07904609185462260.0395230459273113
1070.9867836729039390.0264326541921230.0132163270960615
1080.984421699207860.03115660158428040.0155783007921402
1090.999249950014150.001500099971699850.000750049985849927
1100.9994512747703120.001097450459375780.000548725229687892
1110.9994329457827980.0011341084344050.000567054217202502
1120.9996944511869460.0006110976261077020.000305548813053851
1130.9996052716734580.0007894566530834680.000394728326541734
1140.9995326505382280.0009346989235438410.00046734946177192
1150.9994883416701430.001023316659714270.000511658329857135
1160.9993137146661780.001372570667643550.000686285333821775
1170.99907910254040.001841794919199910.000920897459599956
1180.9990647088011270.001870582397745430.000935291198872717
1190.9997986972916280.0004026054167431180.000201302708371559
1200.9997542340798610.0004915318402770810.000245765920138541
1210.9996944626286550.0006110747426890470.000305537371344524
1220.99968064614860.0006387077028008130.000319353851400406
1230.9996326105449280.0007347789101441380.000367389455072069
1240.9995091775546580.0009816448906846840.000490822445342342
1250.9994014072412080.001197185517584860.000598592758792428
1260.9995049226118780.0009901547762438630.000495077388121932
1270.9995374944340610.0009250111318778770.000462505565938938
1280.9994141267735830.001171746452834470.000585873226417236
1290.9995844772036380.000831045592724120.00041552279636206
1300.9998308591418450.0003382817163100880.000169140858155044
1310.9998135891532910.0003728216934189420.000186410846709471
1320.9997819484808280.0004361030383434790.00021805151917174
1330.9997785869212870.0004428261574260510.000221413078713026
1340.9997798303163160.0004403393673673080.000220169683683654
1350.9999105174662660.0001789650674680788.9482533734039e-05
1360.9999141076723980.0001717846552036168.58923276018082e-05
1370.9999688681559876.22636880262698e-053.11318440131349e-05
1380.9999689930031276.20139937457491e-053.10069968728745e-05
1390.9999645871868097.08256263814647e-053.54128131907324e-05
1400.9999690009744996.19980510027706e-053.09990255013853e-05
1410.9999583345815348.3330836932554e-054.1665418466277e-05
1420.9999584952500428.30094999160651e-054.15047499580325e-05
1430.9999512864869549.7427026091448e-054.8713513045724e-05
1440.9999346586428210.0001306827143576336.53413571788165e-05
1450.9999548585386059.02829227905989e-054.51414613952995e-05
1460.9999533859256489.32281487040846e-054.66140743520423e-05
1470.9999897344610682.05310778631185e-051.02655389315593e-05
1480.9999866726258722.66547482558132e-051.33273741279066e-05
1490.9999859428993172.81142013651245e-051.40571006825623e-05
1500.9999905930888471.88138223056321e-059.40691115281603e-06
1510.9999939421184661.21157630678381e-056.05788153391906e-06
1520.9999983761362983.24772740361618e-061.62386370180809e-06
1530.9999980465494173.9069011661641e-061.95345058308205e-06
1540.9999977979903924.40401921633858e-062.20200960816929e-06
1550.9999969210880296.15782394251482e-063.07891197125741e-06
1560.9999980959856883.80802862396015e-061.90401431198007e-06
1570.999997481541295.03691741972024e-062.51845870986012e-06
1580.99999688087526.23824959962862e-063.11912479981431e-06
1590.9999969945822146.01083557288499e-063.00541778644249e-06
1600.999995746669878.50666025925666e-064.25333012962833e-06
1610.9999938499566991.23000866009291e-056.15004330046453e-06
1620.9999936362357921.27275284151824e-056.36376420759118e-06
1630.9999929313163831.41373672333345e-057.06868361666724e-06
1640.9999909367399341.81265201311196e-059.0632600655598e-06
1650.99999269264091.46147181992773e-057.30735909963867e-06
1660.9999905939837321.88120325368089e-059.40601626840446e-06
1670.9999920954711841.58090576327121e-057.90452881635607e-06
1680.9999914403748961.71192502085263e-058.55962510426313e-06
1690.9999878258731972.43482536051455e-051.21741268025728e-05
1700.9999896882534922.06234930164302e-051.03117465082151e-05
1710.9999848176410923.0364717816503e-051.51823589082515e-05
1720.9999824449664013.51100671985369e-051.75550335992685e-05
1730.9999815612524213.68774951571753e-051.84387475785877e-05
1740.9999770867445494.58265109017336e-052.29132554508668e-05
1750.9999882880233182.34239533634166e-051.17119766817083e-05
1760.9999878646780732.42706438532542e-051.21353219266271e-05
1770.9999873286028352.53427943292011e-051.26713971646005e-05
1780.9999833421209753.33157580505842e-051.66578790252921e-05
1790.9999755431388924.89137222166507e-052.44568611083253e-05
1800.9999679995549256.40008901495911e-053.20004450747956e-05
1810.9999823841739283.52316521436958e-051.76158260718479e-05
1820.9999748253195355.03493609298703e-052.51746804649351e-05
1830.9999918486148841.63027702313037e-058.15138511565187e-06
1840.9999897797729832.04404540334097e-051.02202270167049e-05
1850.9999965587641696.88247166223064e-063.44123583111532e-06
1860.9999990162432281.96751354436803e-069.83756772184016e-07
1870.9999992781125181.44377496359377e-067.21887481796886e-07
1880.9999998426114573.1477708499823e-071.57388542499115e-07
1890.9999997613787274.77242546157677e-072.38621273078839e-07
1900.9999999970439725.91205517297853e-092.95602758648926e-09
1910.9999999947269291.05461413221169e-085.27307066105846e-09
1920.9999999907467761.85064483224736e-089.25322416123678e-09
1930.9999999896290382.07419240962556e-081.03709620481278e-08
1940.9999999927926211.4414757366903e-087.20737868345149e-09
1950.9999999882960912.3407818393904e-081.1703909196952e-08
1960.9999999875520142.48959728927615e-081.24479864463807e-08
1970.9999999801804363.96391278366968e-081.98195639183484e-08
1980.9999999849402533.01194948987498e-081.50597474493749e-08
1990.9999999751734834.96530329476975e-082.48265164738488e-08
2000.9999999662021996.75956021963927e-083.37978010981964e-08
2010.9999999437813051.12437389780391e-075.62186948901953e-08
2020.9999999915610161.68779682063067e-088.43898410315336e-09
2030.9999999868812732.6237454904323e-081.31187274521615e-08
2040.9999999823115113.53769781188631e-081.76884890594315e-08
2050.9999999712153365.75693288245285e-082.87846644122643e-08
2060.9999999824195083.51609832974211e-081.75804916487106e-08
2070.9999999682930746.34138517931897e-083.17069258965949e-08
2080.9999999542426099.15147815433341e-084.57573907716671e-08
2090.9999999221058951.55788210717795e-077.78941053588975e-08
2100.9999999450281331.09943734007967e-075.49718670039835e-08
2110.9999999619457277.61085452724742e-083.80542726362371e-08
2120.9999999372758521.25448294986156e-076.27241474930782e-08
2130.9999998977589512.04482097659565e-071.02241048829783e-07
2140.9999998343371953.31325610265367e-071.65662805132683e-07
2150.9999999316519391.36696121933912e-076.83480609669562e-08
2160.9999999660550086.78899845905317e-083.39449922952659e-08
2170.9999999400579851.19884031021295e-075.99420155106473e-08
2180.9999999068134731.86373053440266e-079.31865267201332e-08
2190.9999998341439483.31712103819225e-071.65856051909613e-07
2200.9999997456547815.08690438802628e-072.54345219401314e-07
2210.9999996071798677.85640265742293e-073.92820132871146e-07
2220.9999993263862981.34722740350742e-066.73613701753711e-07
2230.9999988426901032.31461979354447e-061.15730989677223e-06
2240.9999979725744734.05485105412024e-062.02742552706012e-06
2250.9999986232688982.75346220484921e-061.37673110242461e-06
2260.9999978602646434.27947071436408e-062.13973535718204e-06
2270.999998798869252.40226149938112e-061.20113074969056e-06
2280.9999979799031034.04019379321159e-062.02009689660579e-06
2290.9999966190469096.7619061821685e-063.38095309108425e-06
2300.9999960689246077.86215078526467e-063.93107539263234e-06
2310.9999978458083594.30838328161294e-062.15419164080647e-06
2320.9999968055846226.38883075582936e-063.19441537791468e-06
2330.9999965339900666.93201986866291e-063.46600993433145e-06
2340.9999952449665129.51006697516951e-064.75503348758475e-06
2350.9999939412314221.21175371567839e-056.05876857839195e-06
2360.999991287919971.74241600594793e-058.71208002973967e-06
2370.9999852868603812.94262792381103e-051.47131396190552e-05
2380.9999818500236533.62999526936003e-051.81499763468001e-05
2390.9999717879270215.64241459583125e-052.82120729791563e-05
2400.999968858835886.22823282393277e-053.11411641196639e-05
2410.9999513341162729.73317674555484e-054.86658837277742e-05
2420.9999292388905870.0001415222188255257.07611094127627e-05
2430.9999067663876730.0001864672246537679.32336123268835e-05
2440.9998417051979720.0003165896040567730.000158294802028386
2450.9997410563001470.0005178873997065540.000258943699853277
2460.9995724481544780.0008551036910430850.000427551845521542
2470.999524627588390.0009507448232191370.000475372411609568
2480.9992240091482540.001551981703490910.000775990851745456
2490.9991727416220550.001654516755889950.000827258377944973
2500.9999114401597810.0001771196804378368.8559840218918e-05
2510.9998400897008790.0003198205982427080.000159910299121354
2520.999722151394690.0005556972106209150.000277848605310457
2530.9998261409772260.0003477180455478370.000173859022773918
2540.9997097767473930.0005804465052146560.000290223252607328
2550.9995766022312880.0008467955374236980.000423397768711849
2560.9994727251429620.00105454971407530.000527274857037651
2570.9992953075196560.001409384960687520.00070469248034376
2580.9987485458141850.002502908371630270.00125145418581513
2590.9984428242367180.003114351526563660.00155717576328183
2600.9974814968199470.005037006360105570.00251850318005279
2610.9984038379978420.003192324004315450.00159616200215773
2620.9971381902118710.00572361957625820.0028618097881291
2630.9950668668884630.009866266223073570.00493313311153679
2640.9915296957794730.01694060844105480.00847030422052742
2650.9862234976447180.02755300471056410.0137765023552821
2660.9792047537478190.04159049250436190.020795246252181
2670.9712772929056470.05744541418870560.0287227070943528
2680.9575714247979280.08485715040414350.0424285752020717
2690.9342014665056370.1315970669887270.0657985334943635
2700.904277150890940.191445698218120.0957228491090599
2710.861672298936790.2766554021264210.13832770106321
2720.819055239417190.361889521165620.18094476058281
2730.8371340131959690.3257319736080630.162865986804031
2740.7662062258453580.4675875483092830.233793774154642
2750.695562477717890.608875044564220.30443752228211
2760.7129876477977040.5740247044045930.287012352202296
2770.6049086983710940.7901826032578130.395091301628906
2780.6897440614271610.6205118771456780.310255938572839
2790.5484990092069880.9030019815860250.451500990793012
2800.5115469046976020.9769061906047950.488453095302398






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1550.569852941176471NOK
5% type I error level1600.588235294117647NOK
10% type I error level1650.606617647058823NOK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 155 & 0.569852941176471 & NOK \tabularnewline
5% type I error level & 160 & 0.588235294117647 & NOK \tabularnewline
10% type I error level & 165 & 0.606617647058823 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157519&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]155[/C][C]0.569852941176471[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]160[/C][C]0.588235294117647[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]165[/C][C]0.606617647058823[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157519&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157519&T=6

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1550.569852941176471NOK
5% type I error level1600.588235294117647NOK
10% type I error level1650.606617647058823NOK


Figures (Output of Computation)

Figure 1
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 2
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 3
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 4
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 5
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 6
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 7
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 8
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 9
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 10
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
R code (references can be found in the software module):
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, mysum$coefficients[i,1], sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,mysum$coefficients[i,1])
a<-table.element(a, round(mysum$coefficients[i,2],6))
a<-table.element(a, round(mysum$coefficients[i,3],4))
a<-table.element(a, round(mysum$coefficients[i,4],6))
a<-table.element(a, round(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, sqrt(mysum$r.squared))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, mysum$r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, mysum$adj.r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, mysum$fstatistic[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[3])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, 1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a, mysum$sigma)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, sum(myerror*myerror))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,x[i])
a<-table.element(a,x[i]-mysum$resid[i])
a<-table.element(a,mysum$resid[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
if (n > n25) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-values',header=TRUE)
a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'breakpoint index',header=TRUE)
a<-table.element(a,'greater',header=TRUE)
a<-table.element(a,'2-sided',header=TRUE)
a<-table.element(a,'less',header=TRUE)
a<-table.row.end(a)
for (mypoint in kp3:nmkm3) {
a<-table.row.start(a)
a<-table.element(a,mypoint,header=TRUE)
a<-table.element(a,gqarr[mypoint-kp3+1,1])
a<-table.element(a,gqarr[mypoint-kp3+1,2])
a<-table.element(a,gqarr[mypoint-kp3+1,3])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable5.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,'# significant tests',header=TRUE)
a<-table.element(a,'% significant tests',header=TRUE)
a<-table.element(a,'OK/NOK',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'1% type I error level',header=TRUE)
a<-table.element(a,numsignificant1)
a<-table.element(a,numsignificant1/numgqtests)
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,numsignificant5)
a<-table.element(a,numsignificant5/numgqtests)
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,numsignificant10)
a<-table.element(a,numsignificant10/numgqtests)
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}