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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 10:49:13 -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/t1324309876q7212osnj26iy20.htm/, Retrieved Wed, 15 May 2024 18:40:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=157471, Retrieved Wed, 15 May 2024 18:40:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact92

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2011-12-19 15:49:13] [4126eca3aa45270aa47093f41b7f56ff] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
115	1418	210907	81	79	56
109	869	120982	55	58	56
146	1530	176508	50	60	54
116	2172	179321	125	108	89
68	901	123185	40	49	40
101	463	52746	37	0	25
96	3201	385534	63	121	92
67	371	33170	44	1	18
44	1192	101645	88	20	63
100	1583	149061	66	43	44
93	1439	165446	57	69	33
140	1764	237213	74	78	84
166	1495	173326	49	86	88
99	1373	133131	52	44	55
139	2187	258873	88	104	60
130	1491	180083	36	63	66
181	4041	324799	108	158	154
116	1706	230964	43	102	53
116	2152	236785	75	77	119
88	1036	135473	32	82	41
139	1882	202925	44	115	61
135	1929	215147	85	101	58
108	2242	344297	86	80	75
89	1220	153935	56	50	33
156	1289	132943	50	83	40
129	2515	174724	135	123	92
118	2147	174415	63	73	100
118	2352	225548	81	81	112
125	1638	223632	52	105	73
95	1222	124817	44	47	40
126	1812	221698	113	105	45
135	1677	210767	39	94	60
154	1579	170266	73	44	62
165	1731	260561	48	114	75
113	807	84853	33	38	31
127	2452	294424	59	107	77
52	829	101011	41	30	34
121	1940	215641	69	71	46
136	2662	325107	64	84	99
0	186	7176	1	0	17
108	1499	167542	59	59	66
46	865	106408	32	33	30
54	1793	96560	129	42	76
124	2527	265769	37	96	146
115	2747	269651	31	106	67
128	1324	149112	65	56	56
80	2702	175824	107	57	107
97	1383	152871	74	59	58
104	1179	111665	54	39	34
59	2099	116408	76	34	61
125	4308	362301	715	76	119
82	918	78800	57	20	42
149	1831	183167	66	91	66
149	3373	277965	106	115	89
122	1713	150629	54	85	44
118	1438	168809	32	76	66
12	496	24188	20	8	24
144	2253	329267	71	79	259
67	744	65029	21	21	17
52	1161	101097	70	30	64
108	2352	218946	112	76	41
166	2144	244052	66	101	68
80	4691	341570	190	94	168
60	1112	103597	66	27	43
107	2694	233328	165	92	132
127	1973	256462	56	123	105
107	1769	206161	61	75	71
146	3148	311473	53	128	112
84	2474	235800	127	105	94
141	2084	177939	63	55	82
123	1954	207176	38	56	70
111	1226	196553	50	41	57
98	1389	174184	52	72	53
105	1496	143246	42	67	103
135	2269	187559	76	75	121
107	1833	187681	67	114	62
85	1268	119016	50	118	52
155	1943	182192	53	77	52
88	893	73566	39	22	32
155	1762	194979	50	66	62
104	1403	167488	77	69	45
132	1425	143756	57	105	46
127	1857	275541	73	116	63
108	1840	243199	34	88	75
129	1502	182999	39	73	88
116	1441	135649	46	99	46
122	1420	152299	63	62	53
85	1416	120221	35	53	37
147	2970	346485	106	118	90
99	1317	145790	43	30	63
87	1644	193339	47	100	78
28	870	80953	31	49	25
90	1654	122774	162	24	45
109	1054	130585	57	67	46
78	937	112611	36	46	41
111	3004	286468	263	57	144
158	2008	241066	78	75	82
141	2547	148446	63	135	91
122	1885	204713	54	68	71
124	1626	182079	63	124	63
93	1468	140344	77	33	53
124	2445	220516	79	98	62
112	1964	243060	110	58	63
108	1381	162765	56	68	32
99	1369	182613	56	81	39
117	1659	232138	43	131	62
199	2888	265318	111	110	117
78	1290	85574	71	37	34
91	2845	310839	62	130	92
158	1982	225060	56	93	93
126	1904	232317	74	118	54
122	1391	144966	60	39	144
71	602	43287	43	13	14
75	1743	155754	68	74	61
115	1559	164709	53	81	109
119	2014	201940	87	109	38
124	2143	235454	46	151	73
72	2146	220801	105	51	75
91	874	99466	32	28	50
45	1590	92661	133	40	61
78	1590	133328	79	56	55
39	1210	61361	51	27	77
68	2072	125930	207	37	75
119	1281	100750	67	83	72
117	1401	224549	47	54	50
39	834	82316	34	27	32
50	1105	102010	66	28	53
88	1272	101523	76	59	42
155	1944	243511	65	133	71
0	391	22938	9	12	10
36	761	41566	42	0	35
123	1605	152474	45	106	65
32	530	61857	25	23	25
99	1988	99923	115	44	66
136	1386	132487	97	71	41
117	2395	317394	53	116	86
0	387	21054	2	4	16
88	1742	209641	52	62	42
39	620	22648	44	12	19
25	449	31414	22	18	19
52	800	46698	35	14	45
75	1684	131698	74	60	65
71	1050	91735	103	7	35
124	2699	244749	144	98	95
151	1606	184510	60	64	49
71	1502	79863	134	29	37
145	1204	128423	89	32	64
87	1138	97839	42	25	38
27	568	38214	52	16	34
131	1459	151101	98	48	32
162	2158	272458	99	100	65
165	1111	172494	52	46	52
54	1421	108043	29	45	62
159	2833	328107	125	129	65
147	1955	250579	106	130	83
170	2922	351067	95	136	95
119	1002	158015	40	59	29
49	1060	98866	140	25	18
104	956	85439	43	32	33
120	2186	229242	128	63	247
150	3604	351619	142	95	139
112	1035	84207	73	14	29
59	1417	120445	72	36	118
136	3261	324598	128	113	110
107	1587	131069	61	47	67
130	1424	204271	73	92	42
115	1701	165543	148	70	65
107	1249	141722	64	19	94
75	946	116048	45	50	64
71	1926	250047	58	41	81
120	3352	299775	97	91	95
116	1641	195838	50	111	67
79	2035	173260	37	41	63
150	2312	254488	50	120	83
156	1369	104389	105	135	45
51	1577	136084	69	27	30
118	2201	199476	46	87	70
71	961	92499	57	25	32
144	1900	224330	52	131	83
47	1254	135781	98	45	31
28	1335	74408	61	29	67
68	1597	81240	89	58	66
0	207	14688	0	4	10
110	1645	181633	48	47	70
147	2429	271856	91	109	103
0	151	7199	0	7	5
15	474	46660	7	12	20
4	141	17547	3	0	5
64	1639	133368	54	37	36
111	872	95227	70	37	34
85	1318	152601	36	46	48
68	1018	98146	37	15	40
40	1383	79619	123	42	43
80	1314	59194	247	7	31
88	1335	139942	46	54	42
48	1403	118612	72	54	46
76	910	72880	41	14	33
51	616	65475	24	16	18
67	1407	99643	45	33	55
59	771	71965	33	32	35
61	766	77272	27	21	59
76	473	49289	36	15	19
60	1376	135131	87	38	66
68	1232	108446	90	22	60
71	1521	89746	114	28	36
76	572	44296	31	10	25
62	1059	77648	45	31	47
61	1544	181528	69	32	54
67	1230	134019	51	32	53
88	1206	124064	34	43	40
30	1205	92630	60	27	40
64	1255	121848	45	37	39
68	613	52915	54	20	14
64	721	81872	25	32	45
91	1109	58981	38	0	36
88	740	53515	52	5	28
52	1126	60812	67	26	44
49	728	56375	74	10	30
62	689	65490	38	27	22
61	592	80949	30	11	17
76	995	76302	26	29	31
88	1613	104011	67	25	55
66	2048	98104	132	55	54
71	705	67989	42	23	21
68	301	30989	35	5	14
48	1803	135458	118	43	81
25	799	73504	68	23	35
68	861	63123	43	34	43
41	1186	61254	76	36	46
90	1451	74914	64	35	30
66	628	31774	48	0	23
54	1161	81437	64	37	38
59	1463	87186	56	28	54
60	742	50090	71	16	20
77	979	65745	75	26	53
68	675	56653	39	38	45
72	1241	158399	42	23	39
67	676	46455	39	22	20
64	1049	73624	93	30	24
63	620	38395	38	16	31
59	1081	91899	60	18	35
84	1688	139526	71	28	151
64	736	52164	52	32	52
56	617	51567	27	21	30
54	812	70551	59	23	31
67	1051	84856	40	29	29
58	1656	102538	79	50	57
59	705	86678	44	12	40
40	945	85709	65	21	44
22	554	34662	10	18	25
83	1597	150580	124	27	77
81	982	99611	81	41	35
2	222	19349	15	13	11
72	1212	99373	92	12	63
61	1143	86230	42	21	44
15	435	30837	10	8	19
32	532	31706	24	26	13
62	882	89806	64	27	42
58	608	62088	45	13	38
36	459	40151	22	16	29
59	578	27634	56	2	20
68	826	76990	94	42	27
21	509	37460	19	5	20
55	717	54157	35	37	19
54	637	49862	32	17	37
55	857	84337	35	38	26
72	830	64175	48	37	42
41	652	59382	49	29	49
61	707	119308	48	32	30
67	954	76702	62	35	49
76	1461	103425	96	17	67
64	672	70344	45	20	28
3	778	43410	63	7	19
63	1141	104838	71	46	49
40	680	62215	26	24	27
69	1090	69304	48	40	30
48	616	53117	29	3	22
8	285	19764	19	10	12
52	1145	86680	45	37	31
66	733	84105	45	17	20
76	888	77945	67	28	20
43	849	89113	30	19	39
39	1182	91005	36	29	29
14	528	40248	34	8	16
61	642	64187	36	10	27
71	947	50857	34	15	21
44	819	56613	37	15	19
60	757	62792	46	28	35
64	894	72535	44	17	14

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'AstonUniversity' @ aston.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 & 8 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157471&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]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157471&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157471&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 time8 seconds
R Server'AstonUniversity' @ aston.wessa.net






Multiple Linear Regression - Estimated Regression Equation
LFM[t] = + 36.9421598197166 -0.0126443746743607PV[t] + 0.000244843606840218Time[t] + 0.0375443902927755CV[t] + 0.50937037447425blogs[t] + 0.10169045668491logins[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
LFM[t] =  +  36.9421598197166 -0.0126443746743607PV[t] +  0.000244843606840218Time[t] +  0.0375443902927755CV[t] +  0.50937037447425blogs[t] +  0.10169045668491logins[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157471&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]LFM[t] =  +  36.9421598197166 -0.0126443746743607PV[t] +  0.000244843606840218Time[t] +  0.0375443902927755CV[t] +  0.50937037447425blogs[t] +  0.10169045668491logins[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157471&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157471&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
LFM[t] = + 36.9421598197166 -0.0126443746743607PV[t] + 0.000244843606840218Time[t] + 0.0375443902927755CV[t] + 0.50937037447425blogs[t] + 0.10169045668491logins[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)36.94215981971663.11227211.869800
PV-0.01264437467436070.005486-2.30480.0219020.010951
Time0.0002448436068402184.6e-055.348900
CV0.03754439029277550.0355681.05560.2920620.146031
blogs0.509370374474250.0724177.033900
logins0.101690456684910.0654331.55410.1212760.060638

\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) & 36.9421598197166 & 3.112272 & 11.8698 & 0 & 0 \tabularnewline
PV & -0.0126443746743607 & 0.005486 & -2.3048 & 0.021902 & 0.010951 \tabularnewline
Time & 0.000244843606840218 & 4.6e-05 & 5.3489 & 0 & 0 \tabularnewline
CV & 0.0375443902927755 & 0.035568 & 1.0556 & 0.292062 & 0.146031 \tabularnewline
blogs & 0.50937037447425 & 0.072417 & 7.0339 & 0 & 0 \tabularnewline
logins & 0.10169045668491 & 0.065433 & 1.5541 & 0.121276 & 0.060638 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157471&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]36.9421598197166[/C][C]3.112272[/C][C]11.8698[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]PV[/C][C]-0.0126443746743607[/C][C]0.005486[/C][C]-2.3048[/C][C]0.021902[/C][C]0.010951[/C][/ROW]
[ROW][C]Time[/C][C]0.000244843606840218[/C][C]4.6e-05[/C][C]5.3489[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]CV[/C][C]0.0375443902927755[/C][C]0.035568[/C][C]1.0556[/C][C]0.292062[/C][C]0.146031[/C][/ROW]
[ROW][C]blogs[/C][C]0.50937037447425[/C][C]0.072417[/C][C]7.0339[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]logins[/C][C]0.10169045668491[/C][C]0.065433[/C][C]1.5541[/C][C]0.121276[/C][C]0.060638[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157471&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157471&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)36.94215981971663.11227211.869800
PV-0.01264437467436070.005486-2.30480.0219020.010951
Time0.0002448436068402184.6e-055.348900
CV0.03754439029277550.0355681.05560.2920620.146031
blogs0.509370374474250.0724177.033900
logins0.101690456684910.0654331.55410.1212760.060638






Multiple Linear Regression - Regression Statistics
Multiple R0.804766131894212
R-squared0.647648527043972
Adjusted R-squared0.641423236002346
F-TEST (value)104.03506000176
F-TEST (DF numerator)5
F-TEST (DF denominator)283
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation24.0796856065233
Sum Squared Residuals164092.246271248

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.804766131894212 \tabularnewline
R-squared & 0.647648527043972 \tabularnewline
Adjusted R-squared & 0.641423236002346 \tabularnewline
F-TEST (value) & 104.03506000176 \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 & 24.0796856065233 \tabularnewline
Sum Squared Residuals & 164092.246271248 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157471&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.804766131894212[/C][/ROW]
[ROW][C]R-squared[/C][C]0.647648527043972[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.641423236002346[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]104.03506000176[/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]24.0796856065233[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]164092.246271248[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157471&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157471&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 R0.804766131894212
R-squared0.647648527043972
Adjusted R-squared0.641423236002346
F-TEST (value)104.03506000176
F-TEST (DF numerator)5
F-TEST (DF denominator)283
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation24.0796856065233
Sum Squared Residuals164092.246271248






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1115119.627687890858-4.62768789085844
210992.878956230404516.1210437695955
314698.743848568176847.2561514318232
4116122.139678323973-6.13967832397276
56886.2391801750754-18.2391801750754
610147.933739089837153.0662609101629
796164.217685521465-68.2176855214654
86744.364311022103522.6356889778965
94466.6550062315511-22.6550062315511
1010082.277983545265317.7220164547347
119399.8976711966117-6.89767119661169
12140123.76874185572216.2312581442778
13166115.07087019813850.9291298018615
149982.135287503825816.8647124961742
15139135.0521641326183.94783586738171
16130102.33507021447327.6649297855266
17181165.56684406674815.4331559332517
18116130.880696618764-14.8806966187644
19116121.845271418133-5.84527141813306
2088104.151385526882-16.1513855268823
21139129.2629996958219.73700030417868
22135125.7642560382379.23574396176292
23108144.497622878553-36.4976228785533
248990.1328129866554-1.13281298665541
25156101.41638335202354.5836166479774
26129124.9981826401194.0018173598812
27118102.21746467445715.7825353255431
28118118.116003516057-0.116003516056675
29125133.845140541024-8.84514054102434
309581.711357483191513.2886425168085
31126130.614366832738-4.61436683273843
32135122.78896979679812.2110302032018
3315490.123079053861663.8769209461384
34165146.34857997577818.6514200242218
3511371.261307295635841.7386927043642
36127142.573901479265-15.573901479265
375271.469777548727-19.469777548727
38121108.64401369946712.3559863005326
39136138.140512571952-2.14051257195186
40038.1135860069071-38.1135860069071
4110897.989371022532210.0106289774678
424673.1194507906148-27.1194507906148
435471.878151488819-17.878151488819
44124135.197170630283-11.1971706302825
45115130.200782408555-15.2007824085549
4612893.36991956796534.6300804320351
478089.758681750313-9.75868175031307
489795.61366012971761.38633987028242
4910474.725220644050829.2747793559492
505965.2784562154445-6.27845621544452
51125148.83482918927-23.8348291892703
528261.22673700460220.773262995398
53149114.17978270274834.8202172972517
54149133.95838629896915.0416137010309
55122101.96115265752920.038847342471
56118106.71649255569211.2835074443079
571243.8592489055722-31.8592489055722
58144158.317043147484-14.3170431474845
596756.670627794955710.3293722050443
605271.4324027260653-19.4324027260653
61108107.8965478257740.10345217422626
62166130.42648109025235.5735189097476
6380133.356875089976-53.3568750899756
646068.8502978272326-8.8502978272326
65107126.48712267615-19.4871226761503
66127150.220429553303-23.2204295533026
67107112.764472168615-5.76447216861532
68146151.978432865103-5.97843286510332
6984131.205029183632-47.2050291836319
7014192.877794188581648.1222058114183
71123100.03053056637222.9694694336281
7211198.122662823338612.8773371766614
7398106.043531672557-8.04353167255662
7410599.27783913292395.72216086707614
75135107.5353927456327.4646072543696
76107126.606019171137-19.6060191711372
7785117.320226894538-32.3202268945381
78155103.48196151251651.5180384874836
798859.587372090088828.4126279099112
80155104.20260580599650.7973941940044
81104102.8240126161311.17598738386917
82132114.42334402766517.5766559723348
83127149.160211023324-22.1602110233241
84108126.950117233884-18.9501172338836
85129110.3534730132918.6465269867096
86116108.7668763721567.23312362784423
8712295.612438270431326.3875617295687
888580.54629894348374.45370105651628
89147157.460554813536-10.4605548135358
909979.287286602785119.7127133972149
9187124.126105370557-37.1261053705569
922874.427664222996-46.427664222996
939068.971943860157521.0280561398425
9410996.53349765613912.466502343861
957881.6184081601611-3.61840816016109
96111122.6500284169-11.6500284168999
97158120.04558237671237.9544176232879
98141121.46712028591819.5328797140817
99122107.11478781031614.8852121896843
100124132.897007483467-8.89700748346726
1019377.832283570632815.1677164293672
102124119.2077083929524.79229160704766
103112111.7001584607170.299841539283325
10410899.3260139963348.67398600366595
10599111.671050465951-12.6710504659506
106117147.449383592807-30.4493835928072
107199137.48257378659661.5174262134041
1087866.552994395157311.4470056048427
10991154.977278672583-63.9772786725832
110158125.9166545247932.0833454752096
111126138.123876380645-12.1238763806447
11212291.609366741569230.3906332584308
1137149.588681519387321.4113184806127
1147599.48793001088-24.4879300108799
115115111.890638138023.10936186197978
116119123.572077318059-4.57207731805901
117124153.560043334596-29.5600433345961
11872101.415879332762-29.4158793327619
1199170.792904361187720.2070956388123
1204571.0963942865932-26.0963942865931
1217886.565835421633-8.56583542163295
1223960.1642442035371-21.1642442035371
1236875.8213478013499-7.82134780134989
12411997.527637363304721.4723626366953
125117108.5618873729178.43811262708323
1263964.8349016766354-25.8349016766354
1275070.076516587221-20.076516587221
1288882.89299766816715.1070023318329
129155149.3902745967625.6097254032381
130045.0816805489175-45.0816805489175
1313642.632990430717-6.632990430717
132123116.2728595186886.72714048131245
1333260.5823220179706-28.5823220179706
1349969.712122195122829.2878778048771
13513695.832062630644940.1679373693551
136117154.192969623499-37.1929696234992
137040.943341704594-40.943341704594
13888104.049188411964-16.0491884119644
1393944.3443818729166-5.3443818729166
1402550.883114660198-25.883114660198
1415251.28167628616010.718323713839902
1427587.8448332363757-12.8448332363757
1437157.118125490572713.8818745094273
144124127.725502789856-3.72550278985617
145151101.64658775226149.353412247739
1467161.0694900882349.93050991176603
14714579.311375180094965.6886248199051
1488764.683476198113622.3165238018864
1492752.676318410571-25.676318410571
15013186.873353844361244.1266461556388
151162137.62901047584724.3709895241528
15216595.799561943453569.2004380565465
1535475.7434037055838-21.7434037055838
154159158.467254455070.532745544929581
155147152.213235447291-5.21323544729057
156170168.4534889351871.5465110648125
15711997.465109880418321.5348901195817
1584967.5667329219324-18.5667329219324
15910467.043376392216536.9566236077835
160120127.443553251355-7.44355325135512
161150145.3199601627024.68003983729841
16211257.29372661082254.706273389178
1635981.5552726029897-22.5552726029897
164136148.735083608153-12.735083608153
16510782.010819922484724.9891800775153
166130122.8248328200557.1751671799451
167115103.78859936682711.2114006331734
16810777.488842522179429.5111574778206
1697587.0603977790866-12.0603977790866
17071105.110190538377-34.1101905383768
171120127.611311472408-7.6113114724083
172116129.373014934635-13.3730149346347
1737982.312287243955-3.31228724395501
174150141.4600977465448.53990225345569
175156122.47422225054633.5257777494537
1765169.7155550930475-18.7155550930475
177118111.1129109801796.8870890198209
1787165.56708876923085.43291123076918
179144144.963749517096-0.96374951709591
1804784.0846450157053-37.0846450157053
1812862.1554519927135-34.1554519927135
1826876.2366906812294-8.23669068122941
183040.9754232241391-40.9754232241391
18411093.474712623889216.5252873761108
185147142.203204689734.79679531026974
186040.8695332742751-40.8695332742751
1871550.7821932786728-35.7821932786728
188440.0766592141599-36.0766592141599
1896473.4072892575195-9.40728925751947
19011174.16427395557636.8357260444241
1918587.3040304435644-2.30403044356436
1926861.19792336350036.80207663649975
1934069.333398149468-29.333398149468
1948050.81218514177429.187814858226
1958887.82986501372220.170134986277801
1964883.1304493763156-35.1304493763156
1977655.306271247808720.6937287521913
1985156.0657797571166-5.06577975711663
1996767.6401712077661-0.640171207766102
2005965.9114999588502-6.91149995885018
2016163.8863373531875-2.88633735318746
2027653.953739480958422.0462605190416
2036081.9634680304188-21.9634680304188
2046868.6031707741764-0.603170774176361
2057161.88708769880839.11291230119168
2067649.355011175517826.6449888244822
2076264.8228140595652-2.82281405956524
2086186.2469151593574-25.2469151593574
2096777.8074844077799-10.8074844077799
2108879.31637484120598.68362515879413
2113064.458833434489-34.458833434489
2126475.4093026390944-11.4093026390944
2136855.785528559167212.2144714408328
2146469.6859337500412-5.68593375004115
2159142.448212352675748.5517876473243
2168848.03462113551739.965378864483
2175257.8275073356363-5.82750733563626
2184952.4628157193545-3.46281571935445
2196261.68187047004610.318129529953852
2206157.73467873424733.26532126575269
2217661.943363072447614.0566369275524
2228862.85592049017325.1440795098271
2236673.5291324677939-7.52913246779387
2247160.102430255339310.8975697446607
2256846.008233501312621.9917664986874
2264881.8804687256244-33.8804687256244
2272562.6639920688741-37.6639920688741
2286864.8163073718323.18369262816795
2294162.8120499001453-21.8120499001453
2309060.21890391593129.781096084069
2316640.922164525765325.0778354742347
2325467.3151518213421-13.3151518213421
2335961.6465153797577-2.64651537975768
2346052.67363691404077.3263630859593
2357762.109613157816514.8903868421835
2366867.67470777510260.325292224897361
2377277.2917841446344-5.29178414463444
2386754.47296088916112.527039110839
2396462.91788698820991.08211301179014
2406351.232434786188811.7675652138112
2415960.7549695638167-1.75496956381672
2428482.04378561287141.95621438712856
2436463.94798599261590.0520140073841434
2445656.527621021977-0.527621021977012
2455461.0319306877336-7.03193068773361
2466763.65191085432373.34808914567633
2475875.3397307050391-17.3397307050391
2485961.0824457619582-2.0824457619582
2494063.5900697782396-23.5900697782396
2502250.5103174110034-28.5103174110034
2518379.85631345460953.14368654539046
2528176.39894736158624.60105263841379
253247.1761633368507-45.1761633368507
2547261.921048628710.0789513712999
2556160.35052613514610.649473864853854
2561545.3746247162365-30.3746247162365
2573253.4450349316936-21.4450349316936
2586268.2050865831316-6.20508658313164
2595856.63177966456741.36822033543257
2603652.894033324318-16.894033324318
2615941.554755228400817.4452447715992
2626873.016786375255-5.01678637525496
2632144.9720190443337-23.9720190443337
2645563.2290145866533-8.2290145866533
2655454.7193488291885-0.719348829188477
2665570.0693857579492-15.0693857579492
2677267.08000107933484.91999892066514
2684164.831578955079-23.831578955079
2696178.3670843876128-17.3670843876128
2706768.7979683945463-1.79796839454627
2717662.868496889982813.1315031100172
2726460.39265655795183.60734344204816
273345.5965051827757-42.5965051827757
2746379.2633636843489-16.2633636843489
2754059.5236155062022-19.5236155062022
2766965.35609216668843.64390783331161
2774847.01267137382350.987328626176508
278845.204934723638-37.204934723638
2795267.376000234438-15.376000234438
2806660.6490077996425.35099220035795
2817663.609943812638212.3900561873618
2824362.7961306920422-19.7961306920422
2833963.3508635492718-24.3508635492718
2841447.0989150524661-33.0989150524661
2856153.7311919968057.26880800319495
2867148.472512793621222.5274872063788
2874451.4095648104202-7.40956481042015
2886062.293166374655-2.293166374655
2896455.13273581552648.86726418447358

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 115 & 119.627687890858 & -4.62768789085844 \tabularnewline
2 & 109 & 92.8789562304045 & 16.1210437695955 \tabularnewline
3 & 146 & 98.7438485681768 & 47.2561514318232 \tabularnewline
4 & 116 & 122.139678323973 & -6.13967832397276 \tabularnewline
5 & 68 & 86.2391801750754 & -18.2391801750754 \tabularnewline
6 & 101 & 47.9337390898371 & 53.0662609101629 \tabularnewline
7 & 96 & 164.217685521465 & -68.2176855214654 \tabularnewline
8 & 67 & 44.3643110221035 & 22.6356889778965 \tabularnewline
9 & 44 & 66.6550062315511 & -22.6550062315511 \tabularnewline
10 & 100 & 82.2779835452653 & 17.7220164547347 \tabularnewline
11 & 93 & 99.8976711966117 & -6.89767119661169 \tabularnewline
12 & 140 & 123.768741855722 & 16.2312581442778 \tabularnewline
13 & 166 & 115.070870198138 & 50.9291298018615 \tabularnewline
14 & 99 & 82.1352875038258 & 16.8647124961742 \tabularnewline
15 & 139 & 135.052164132618 & 3.94783586738171 \tabularnewline
16 & 130 & 102.335070214473 & 27.6649297855266 \tabularnewline
17 & 181 & 165.566844066748 & 15.4331559332517 \tabularnewline
18 & 116 & 130.880696618764 & -14.8806966187644 \tabularnewline
19 & 116 & 121.845271418133 & -5.84527141813306 \tabularnewline
20 & 88 & 104.151385526882 & -16.1513855268823 \tabularnewline
21 & 139 & 129.262999695821 & 9.73700030417868 \tabularnewline
22 & 135 & 125.764256038237 & 9.23574396176292 \tabularnewline
23 & 108 & 144.497622878553 & -36.4976228785533 \tabularnewline
24 & 89 & 90.1328129866554 & -1.13281298665541 \tabularnewline
25 & 156 & 101.416383352023 & 54.5836166479774 \tabularnewline
26 & 129 & 124.998182640119 & 4.0018173598812 \tabularnewline
27 & 118 & 102.217464674457 & 15.7825353255431 \tabularnewline
28 & 118 & 118.116003516057 & -0.116003516056675 \tabularnewline
29 & 125 & 133.845140541024 & -8.84514054102434 \tabularnewline
30 & 95 & 81.7113574831915 & 13.2886425168085 \tabularnewline
31 & 126 & 130.614366832738 & -4.61436683273843 \tabularnewline
32 & 135 & 122.788969796798 & 12.2110302032018 \tabularnewline
33 & 154 & 90.1230790538616 & 63.8769209461384 \tabularnewline
34 & 165 & 146.348579975778 & 18.6514200242218 \tabularnewline
35 & 113 & 71.2613072956358 & 41.7386927043642 \tabularnewline
36 & 127 & 142.573901479265 & -15.573901479265 \tabularnewline
37 & 52 & 71.469777548727 & -19.469777548727 \tabularnewline
38 & 121 & 108.644013699467 & 12.3559863005326 \tabularnewline
39 & 136 & 138.140512571952 & -2.14051257195186 \tabularnewline
40 & 0 & 38.1135860069071 & -38.1135860069071 \tabularnewline
41 & 108 & 97.9893710225322 & 10.0106289774678 \tabularnewline
42 & 46 & 73.1194507906148 & -27.1194507906148 \tabularnewline
43 & 54 & 71.878151488819 & -17.878151488819 \tabularnewline
44 & 124 & 135.197170630283 & -11.1971706302825 \tabularnewline
45 & 115 & 130.200782408555 & -15.2007824085549 \tabularnewline
46 & 128 & 93.369919567965 & 34.6300804320351 \tabularnewline
47 & 80 & 89.758681750313 & -9.75868175031307 \tabularnewline
48 & 97 & 95.6136601297176 & 1.38633987028242 \tabularnewline
49 & 104 & 74.7252206440508 & 29.2747793559492 \tabularnewline
50 & 59 & 65.2784562154445 & -6.27845621544452 \tabularnewline
51 & 125 & 148.83482918927 & -23.8348291892703 \tabularnewline
52 & 82 & 61.226737004602 & 20.773262995398 \tabularnewline
53 & 149 & 114.179782702748 & 34.8202172972517 \tabularnewline
54 & 149 & 133.958386298969 & 15.0416137010309 \tabularnewline
55 & 122 & 101.961152657529 & 20.038847342471 \tabularnewline
56 & 118 & 106.716492555692 & 11.2835074443079 \tabularnewline
57 & 12 & 43.8592489055722 & -31.8592489055722 \tabularnewline
58 & 144 & 158.317043147484 & -14.3170431474845 \tabularnewline
59 & 67 & 56.6706277949557 & 10.3293722050443 \tabularnewline
60 & 52 & 71.4324027260653 & -19.4324027260653 \tabularnewline
61 & 108 & 107.896547825774 & 0.10345217422626 \tabularnewline
62 & 166 & 130.426481090252 & 35.5735189097476 \tabularnewline
63 & 80 & 133.356875089976 & -53.3568750899756 \tabularnewline
64 & 60 & 68.8502978272326 & -8.8502978272326 \tabularnewline
65 & 107 & 126.48712267615 & -19.4871226761503 \tabularnewline
66 & 127 & 150.220429553303 & -23.2204295533026 \tabularnewline
67 & 107 & 112.764472168615 & -5.76447216861532 \tabularnewline
68 & 146 & 151.978432865103 & -5.97843286510332 \tabularnewline
69 & 84 & 131.205029183632 & -47.2050291836319 \tabularnewline
70 & 141 & 92.8777941885816 & 48.1222058114183 \tabularnewline
71 & 123 & 100.030530566372 & 22.9694694336281 \tabularnewline
72 & 111 & 98.1226628233386 & 12.8773371766614 \tabularnewline
73 & 98 & 106.043531672557 & -8.04353167255662 \tabularnewline
74 & 105 & 99.2778391329239 & 5.72216086707614 \tabularnewline
75 & 135 & 107.53539274563 & 27.4646072543696 \tabularnewline
76 & 107 & 126.606019171137 & -19.6060191711372 \tabularnewline
77 & 85 & 117.320226894538 & -32.3202268945381 \tabularnewline
78 & 155 & 103.481961512516 & 51.5180384874836 \tabularnewline
79 & 88 & 59.5873720900888 & 28.4126279099112 \tabularnewline
80 & 155 & 104.202605805996 & 50.7973941940044 \tabularnewline
81 & 104 & 102.824012616131 & 1.17598738386917 \tabularnewline
82 & 132 & 114.423344027665 & 17.5766559723348 \tabularnewline
83 & 127 & 149.160211023324 & -22.1602110233241 \tabularnewline
84 & 108 & 126.950117233884 & -18.9501172338836 \tabularnewline
85 & 129 & 110.35347301329 & 18.6465269867096 \tabularnewline
86 & 116 & 108.766876372156 & 7.23312362784423 \tabularnewline
87 & 122 & 95.6124382704313 & 26.3875617295687 \tabularnewline
88 & 85 & 80.5462989434837 & 4.45370105651628 \tabularnewline
89 & 147 & 157.460554813536 & -10.4605548135358 \tabularnewline
90 & 99 & 79.2872866027851 & 19.7127133972149 \tabularnewline
91 & 87 & 124.126105370557 & -37.1261053705569 \tabularnewline
92 & 28 & 74.427664222996 & -46.427664222996 \tabularnewline
93 & 90 & 68.9719438601575 & 21.0280561398425 \tabularnewline
94 & 109 & 96.533497656139 & 12.466502343861 \tabularnewline
95 & 78 & 81.6184081601611 & -3.61840816016109 \tabularnewline
96 & 111 & 122.6500284169 & -11.6500284168999 \tabularnewline
97 & 158 & 120.045582376712 & 37.9544176232879 \tabularnewline
98 & 141 & 121.467120285918 & 19.5328797140817 \tabularnewline
99 & 122 & 107.114787810316 & 14.8852121896843 \tabularnewline
100 & 124 & 132.897007483467 & -8.89700748346726 \tabularnewline
101 & 93 & 77.8322835706328 & 15.1677164293672 \tabularnewline
102 & 124 & 119.207708392952 & 4.79229160704766 \tabularnewline
103 & 112 & 111.700158460717 & 0.299841539283325 \tabularnewline
104 & 108 & 99.326013996334 & 8.67398600366595 \tabularnewline
105 & 99 & 111.671050465951 & -12.6710504659506 \tabularnewline
106 & 117 & 147.449383592807 & -30.4493835928072 \tabularnewline
107 & 199 & 137.482573786596 & 61.5174262134041 \tabularnewline
108 & 78 & 66.5529943951573 & 11.4470056048427 \tabularnewline
109 & 91 & 154.977278672583 & -63.9772786725832 \tabularnewline
110 & 158 & 125.91665452479 & 32.0833454752096 \tabularnewline
111 & 126 & 138.123876380645 & -12.1238763806447 \tabularnewline
112 & 122 & 91.6093667415692 & 30.3906332584308 \tabularnewline
113 & 71 & 49.5886815193873 & 21.4113184806127 \tabularnewline
114 & 75 & 99.48793001088 & -24.4879300108799 \tabularnewline
115 & 115 & 111.89063813802 & 3.10936186197978 \tabularnewline
116 & 119 & 123.572077318059 & -4.57207731805901 \tabularnewline
117 & 124 & 153.560043334596 & -29.5600433345961 \tabularnewline
118 & 72 & 101.415879332762 & -29.4158793327619 \tabularnewline
119 & 91 & 70.7929043611877 & 20.2070956388123 \tabularnewline
120 & 45 & 71.0963942865932 & -26.0963942865931 \tabularnewline
121 & 78 & 86.565835421633 & -8.56583542163295 \tabularnewline
122 & 39 & 60.1642442035371 & -21.1642442035371 \tabularnewline
123 & 68 & 75.8213478013499 & -7.82134780134989 \tabularnewline
124 & 119 & 97.5276373633047 & 21.4723626366953 \tabularnewline
125 & 117 & 108.561887372917 & 8.43811262708323 \tabularnewline
126 & 39 & 64.8349016766354 & -25.8349016766354 \tabularnewline
127 & 50 & 70.076516587221 & -20.076516587221 \tabularnewline
128 & 88 & 82.8929976681671 & 5.1070023318329 \tabularnewline
129 & 155 & 149.390274596762 & 5.6097254032381 \tabularnewline
130 & 0 & 45.0816805489175 & -45.0816805489175 \tabularnewline
131 & 36 & 42.632990430717 & -6.632990430717 \tabularnewline
132 & 123 & 116.272859518688 & 6.72714048131245 \tabularnewline
133 & 32 & 60.5823220179706 & -28.5823220179706 \tabularnewline
134 & 99 & 69.7121221951228 & 29.2878778048771 \tabularnewline
135 & 136 & 95.8320626306449 & 40.1679373693551 \tabularnewline
136 & 117 & 154.192969623499 & -37.1929696234992 \tabularnewline
137 & 0 & 40.943341704594 & -40.943341704594 \tabularnewline
138 & 88 & 104.049188411964 & -16.0491884119644 \tabularnewline
139 & 39 & 44.3443818729166 & -5.3443818729166 \tabularnewline
140 & 25 & 50.883114660198 & -25.883114660198 \tabularnewline
141 & 52 & 51.2816762861601 & 0.718323713839902 \tabularnewline
142 & 75 & 87.8448332363757 & -12.8448332363757 \tabularnewline
143 & 71 & 57.1181254905727 & 13.8818745094273 \tabularnewline
144 & 124 & 127.725502789856 & -3.72550278985617 \tabularnewline
145 & 151 & 101.646587752261 & 49.353412247739 \tabularnewline
146 & 71 & 61.069490088234 & 9.93050991176603 \tabularnewline
147 & 145 & 79.3113751800949 & 65.6886248199051 \tabularnewline
148 & 87 & 64.6834761981136 & 22.3165238018864 \tabularnewline
149 & 27 & 52.676318410571 & -25.676318410571 \tabularnewline
150 & 131 & 86.8733538443612 & 44.1266461556388 \tabularnewline
151 & 162 & 137.629010475847 & 24.3709895241528 \tabularnewline
152 & 165 & 95.7995619434535 & 69.2004380565465 \tabularnewline
153 & 54 & 75.7434037055838 & -21.7434037055838 \tabularnewline
154 & 159 & 158.46725445507 & 0.532745544929581 \tabularnewline
155 & 147 & 152.213235447291 & -5.21323544729057 \tabularnewline
156 & 170 & 168.453488935187 & 1.5465110648125 \tabularnewline
157 & 119 & 97.4651098804183 & 21.5348901195817 \tabularnewline
158 & 49 & 67.5667329219324 & -18.5667329219324 \tabularnewline
159 & 104 & 67.0433763922165 & 36.9566236077835 \tabularnewline
160 & 120 & 127.443553251355 & -7.44355325135512 \tabularnewline
161 & 150 & 145.319960162702 & 4.68003983729841 \tabularnewline
162 & 112 & 57.293726610822 & 54.706273389178 \tabularnewline
163 & 59 & 81.5552726029897 & -22.5552726029897 \tabularnewline
164 & 136 & 148.735083608153 & -12.735083608153 \tabularnewline
165 & 107 & 82.0108199224847 & 24.9891800775153 \tabularnewline
166 & 130 & 122.824832820055 & 7.1751671799451 \tabularnewline
167 & 115 & 103.788599366827 & 11.2114006331734 \tabularnewline
168 & 107 & 77.4888425221794 & 29.5111574778206 \tabularnewline
169 & 75 & 87.0603977790866 & -12.0603977790866 \tabularnewline
170 & 71 & 105.110190538377 & -34.1101905383768 \tabularnewline
171 & 120 & 127.611311472408 & -7.6113114724083 \tabularnewline
172 & 116 & 129.373014934635 & -13.3730149346347 \tabularnewline
173 & 79 & 82.312287243955 & -3.31228724395501 \tabularnewline
174 & 150 & 141.460097746544 & 8.53990225345569 \tabularnewline
175 & 156 & 122.474222250546 & 33.5257777494537 \tabularnewline
176 & 51 & 69.7155550930475 & -18.7155550930475 \tabularnewline
177 & 118 & 111.112910980179 & 6.8870890198209 \tabularnewline
178 & 71 & 65.5670887692308 & 5.43291123076918 \tabularnewline
179 & 144 & 144.963749517096 & -0.96374951709591 \tabularnewline
180 & 47 & 84.0846450157053 & -37.0846450157053 \tabularnewline
181 & 28 & 62.1554519927135 & -34.1554519927135 \tabularnewline
182 & 68 & 76.2366906812294 & -8.23669068122941 \tabularnewline
183 & 0 & 40.9754232241391 & -40.9754232241391 \tabularnewline
184 & 110 & 93.4747126238892 & 16.5252873761108 \tabularnewline
185 & 147 & 142.20320468973 & 4.79679531026974 \tabularnewline
186 & 0 & 40.8695332742751 & -40.8695332742751 \tabularnewline
187 & 15 & 50.7821932786728 & -35.7821932786728 \tabularnewline
188 & 4 & 40.0766592141599 & -36.0766592141599 \tabularnewline
189 & 64 & 73.4072892575195 & -9.40728925751947 \tabularnewline
190 & 111 & 74.164273955576 & 36.8357260444241 \tabularnewline
191 & 85 & 87.3040304435644 & -2.30403044356436 \tabularnewline
192 & 68 & 61.1979233635003 & 6.80207663649975 \tabularnewline
193 & 40 & 69.333398149468 & -29.333398149468 \tabularnewline
194 & 80 & 50.812185141774 & 29.187814858226 \tabularnewline
195 & 88 & 87.8298650137222 & 0.170134986277801 \tabularnewline
196 & 48 & 83.1304493763156 & -35.1304493763156 \tabularnewline
197 & 76 & 55.3062712478087 & 20.6937287521913 \tabularnewline
198 & 51 & 56.0657797571166 & -5.06577975711663 \tabularnewline
199 & 67 & 67.6401712077661 & -0.640171207766102 \tabularnewline
200 & 59 & 65.9114999588502 & -6.91149995885018 \tabularnewline
201 & 61 & 63.8863373531875 & -2.88633735318746 \tabularnewline
202 & 76 & 53.9537394809584 & 22.0462605190416 \tabularnewline
203 & 60 & 81.9634680304188 & -21.9634680304188 \tabularnewline
204 & 68 & 68.6031707741764 & -0.603170774176361 \tabularnewline
205 & 71 & 61.8870876988083 & 9.11291230119168 \tabularnewline
206 & 76 & 49.3550111755178 & 26.6449888244822 \tabularnewline
207 & 62 & 64.8228140595652 & -2.82281405956524 \tabularnewline
208 & 61 & 86.2469151593574 & -25.2469151593574 \tabularnewline
209 & 67 & 77.8074844077799 & -10.8074844077799 \tabularnewline
210 & 88 & 79.3163748412059 & 8.68362515879413 \tabularnewline
211 & 30 & 64.458833434489 & -34.458833434489 \tabularnewline
212 & 64 & 75.4093026390944 & -11.4093026390944 \tabularnewline
213 & 68 & 55.7855285591672 & 12.2144714408328 \tabularnewline
214 & 64 & 69.6859337500412 & -5.68593375004115 \tabularnewline
215 & 91 & 42.4482123526757 & 48.5517876473243 \tabularnewline
216 & 88 & 48.034621135517 & 39.965378864483 \tabularnewline
217 & 52 & 57.8275073356363 & -5.82750733563626 \tabularnewline
218 & 49 & 52.4628157193545 & -3.46281571935445 \tabularnewline
219 & 62 & 61.6818704700461 & 0.318129529953852 \tabularnewline
220 & 61 & 57.7346787342473 & 3.26532126575269 \tabularnewline
221 & 76 & 61.9433630724476 & 14.0566369275524 \tabularnewline
222 & 88 & 62.855920490173 & 25.1440795098271 \tabularnewline
223 & 66 & 73.5291324677939 & -7.52913246779387 \tabularnewline
224 & 71 & 60.1024302553393 & 10.8975697446607 \tabularnewline
225 & 68 & 46.0082335013126 & 21.9917664986874 \tabularnewline
226 & 48 & 81.8804687256244 & -33.8804687256244 \tabularnewline
227 & 25 & 62.6639920688741 & -37.6639920688741 \tabularnewline
228 & 68 & 64.816307371832 & 3.18369262816795 \tabularnewline
229 & 41 & 62.8120499001453 & -21.8120499001453 \tabularnewline
230 & 90 & 60.218903915931 & 29.781096084069 \tabularnewline
231 & 66 & 40.9221645257653 & 25.0778354742347 \tabularnewline
232 & 54 & 67.3151518213421 & -13.3151518213421 \tabularnewline
233 & 59 & 61.6465153797577 & -2.64651537975768 \tabularnewline
234 & 60 & 52.6736369140407 & 7.3263630859593 \tabularnewline
235 & 77 & 62.1096131578165 & 14.8903868421835 \tabularnewline
236 & 68 & 67.6747077751026 & 0.325292224897361 \tabularnewline
237 & 72 & 77.2917841446344 & -5.29178414463444 \tabularnewline
238 & 67 & 54.472960889161 & 12.527039110839 \tabularnewline
239 & 64 & 62.9178869882099 & 1.08211301179014 \tabularnewline
240 & 63 & 51.2324347861888 & 11.7675652138112 \tabularnewline
241 & 59 & 60.7549695638167 & -1.75496956381672 \tabularnewline
242 & 84 & 82.0437856128714 & 1.95621438712856 \tabularnewline
243 & 64 & 63.9479859926159 & 0.0520140073841434 \tabularnewline
244 & 56 & 56.527621021977 & -0.527621021977012 \tabularnewline
245 & 54 & 61.0319306877336 & -7.03193068773361 \tabularnewline
246 & 67 & 63.6519108543237 & 3.34808914567633 \tabularnewline
247 & 58 & 75.3397307050391 & -17.3397307050391 \tabularnewline
248 & 59 & 61.0824457619582 & -2.0824457619582 \tabularnewline
249 & 40 & 63.5900697782396 & -23.5900697782396 \tabularnewline
250 & 22 & 50.5103174110034 & -28.5103174110034 \tabularnewline
251 & 83 & 79.8563134546095 & 3.14368654539046 \tabularnewline
252 & 81 & 76.3989473615862 & 4.60105263841379 \tabularnewline
253 & 2 & 47.1761633368507 & -45.1761633368507 \tabularnewline
254 & 72 & 61.9210486287 & 10.0789513712999 \tabularnewline
255 & 61 & 60.3505261351461 & 0.649473864853854 \tabularnewline
256 & 15 & 45.3746247162365 & -30.3746247162365 \tabularnewline
257 & 32 & 53.4450349316936 & -21.4450349316936 \tabularnewline
258 & 62 & 68.2050865831316 & -6.20508658313164 \tabularnewline
259 & 58 & 56.6317796645674 & 1.36822033543257 \tabularnewline
260 & 36 & 52.894033324318 & -16.894033324318 \tabularnewline
261 & 59 & 41.5547552284008 & 17.4452447715992 \tabularnewline
262 & 68 & 73.016786375255 & -5.01678637525496 \tabularnewline
263 & 21 & 44.9720190443337 & -23.9720190443337 \tabularnewline
264 & 55 & 63.2290145866533 & -8.2290145866533 \tabularnewline
265 & 54 & 54.7193488291885 & -0.719348829188477 \tabularnewline
266 & 55 & 70.0693857579492 & -15.0693857579492 \tabularnewline
267 & 72 & 67.0800010793348 & 4.91999892066514 \tabularnewline
268 & 41 & 64.831578955079 & -23.831578955079 \tabularnewline
269 & 61 & 78.3670843876128 & -17.3670843876128 \tabularnewline
270 & 67 & 68.7979683945463 & -1.79796839454627 \tabularnewline
271 & 76 & 62.8684968899828 & 13.1315031100172 \tabularnewline
272 & 64 & 60.3926565579518 & 3.60734344204816 \tabularnewline
273 & 3 & 45.5965051827757 & -42.5965051827757 \tabularnewline
274 & 63 & 79.2633636843489 & -16.2633636843489 \tabularnewline
275 & 40 & 59.5236155062022 & -19.5236155062022 \tabularnewline
276 & 69 & 65.3560921666884 & 3.64390783331161 \tabularnewline
277 & 48 & 47.0126713738235 & 0.987328626176508 \tabularnewline
278 & 8 & 45.204934723638 & -37.204934723638 \tabularnewline
279 & 52 & 67.376000234438 & -15.376000234438 \tabularnewline
280 & 66 & 60.649007799642 & 5.35099220035795 \tabularnewline
281 & 76 & 63.6099438126382 & 12.3900561873618 \tabularnewline
282 & 43 & 62.7961306920422 & -19.7961306920422 \tabularnewline
283 & 39 & 63.3508635492718 & -24.3508635492718 \tabularnewline
284 & 14 & 47.0989150524661 & -33.0989150524661 \tabularnewline
285 & 61 & 53.731191996805 & 7.26880800319495 \tabularnewline
286 & 71 & 48.4725127936212 & 22.5274872063788 \tabularnewline
287 & 44 & 51.4095648104202 & -7.40956481042015 \tabularnewline
288 & 60 & 62.293166374655 & -2.293166374655 \tabularnewline
289 & 64 & 55.1327358155264 & 8.86726418447358 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157471&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]115[/C][C]119.627687890858[/C][C]-4.62768789085844[/C][/ROW]
[ROW][C]2[/C][C]109[/C][C]92.8789562304045[/C][C]16.1210437695955[/C][/ROW]
[ROW][C]3[/C][C]146[/C][C]98.7438485681768[/C][C]47.2561514318232[/C][/ROW]
[ROW][C]4[/C][C]116[/C][C]122.139678323973[/C][C]-6.13967832397276[/C][/ROW]
[ROW][C]5[/C][C]68[/C][C]86.2391801750754[/C][C]-18.2391801750754[/C][/ROW]
[ROW][C]6[/C][C]101[/C][C]47.9337390898371[/C][C]53.0662609101629[/C][/ROW]
[ROW][C]7[/C][C]96[/C][C]164.217685521465[/C][C]-68.2176855214654[/C][/ROW]
[ROW][C]8[/C][C]67[/C][C]44.3643110221035[/C][C]22.6356889778965[/C][/ROW]
[ROW][C]9[/C][C]44[/C][C]66.6550062315511[/C][C]-22.6550062315511[/C][/ROW]
[ROW][C]10[/C][C]100[/C][C]82.2779835452653[/C][C]17.7220164547347[/C][/ROW]
[ROW][C]11[/C][C]93[/C][C]99.8976711966117[/C][C]-6.89767119661169[/C][/ROW]
[ROW][C]12[/C][C]140[/C][C]123.768741855722[/C][C]16.2312581442778[/C][/ROW]
[ROW][C]13[/C][C]166[/C][C]115.070870198138[/C][C]50.9291298018615[/C][/ROW]
[ROW][C]14[/C][C]99[/C][C]82.1352875038258[/C][C]16.8647124961742[/C][/ROW]
[ROW][C]15[/C][C]139[/C][C]135.052164132618[/C][C]3.94783586738171[/C][/ROW]
[ROW][C]16[/C][C]130[/C][C]102.335070214473[/C][C]27.6649297855266[/C][/ROW]
[ROW][C]17[/C][C]181[/C][C]165.566844066748[/C][C]15.4331559332517[/C][/ROW]
[ROW][C]18[/C][C]116[/C][C]130.880696618764[/C][C]-14.8806966187644[/C][/ROW]
[ROW][C]19[/C][C]116[/C][C]121.845271418133[/C][C]-5.84527141813306[/C][/ROW]
[ROW][C]20[/C][C]88[/C][C]104.151385526882[/C][C]-16.1513855268823[/C][/ROW]
[ROW][C]21[/C][C]139[/C][C]129.262999695821[/C][C]9.73700030417868[/C][/ROW]
[ROW][C]22[/C][C]135[/C][C]125.764256038237[/C][C]9.23574396176292[/C][/ROW]
[ROW][C]23[/C][C]108[/C][C]144.497622878553[/C][C]-36.4976228785533[/C][/ROW]
[ROW][C]24[/C][C]89[/C][C]90.1328129866554[/C][C]-1.13281298665541[/C][/ROW]
[ROW][C]25[/C][C]156[/C][C]101.416383352023[/C][C]54.5836166479774[/C][/ROW]
[ROW][C]26[/C][C]129[/C][C]124.998182640119[/C][C]4.0018173598812[/C][/ROW]
[ROW][C]27[/C][C]118[/C][C]102.217464674457[/C][C]15.7825353255431[/C][/ROW]
[ROW][C]28[/C][C]118[/C][C]118.116003516057[/C][C]-0.116003516056675[/C][/ROW]
[ROW][C]29[/C][C]125[/C][C]133.845140541024[/C][C]-8.84514054102434[/C][/ROW]
[ROW][C]30[/C][C]95[/C][C]81.7113574831915[/C][C]13.2886425168085[/C][/ROW]
[ROW][C]31[/C][C]126[/C][C]130.614366832738[/C][C]-4.61436683273843[/C][/ROW]
[ROW][C]32[/C][C]135[/C][C]122.788969796798[/C][C]12.2110302032018[/C][/ROW]
[ROW][C]33[/C][C]154[/C][C]90.1230790538616[/C][C]63.8769209461384[/C][/ROW]
[ROW][C]34[/C][C]165[/C][C]146.348579975778[/C][C]18.6514200242218[/C][/ROW]
[ROW][C]35[/C][C]113[/C][C]71.2613072956358[/C][C]41.7386927043642[/C][/ROW]
[ROW][C]36[/C][C]127[/C][C]142.573901479265[/C][C]-15.573901479265[/C][/ROW]
[ROW][C]37[/C][C]52[/C][C]71.469777548727[/C][C]-19.469777548727[/C][/ROW]
[ROW][C]38[/C][C]121[/C][C]108.644013699467[/C][C]12.3559863005326[/C][/ROW]
[ROW][C]39[/C][C]136[/C][C]138.140512571952[/C][C]-2.14051257195186[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]38.1135860069071[/C][C]-38.1135860069071[/C][/ROW]
[ROW][C]41[/C][C]108[/C][C]97.9893710225322[/C][C]10.0106289774678[/C][/ROW]
[ROW][C]42[/C][C]46[/C][C]73.1194507906148[/C][C]-27.1194507906148[/C][/ROW]
[ROW][C]43[/C][C]54[/C][C]71.878151488819[/C][C]-17.878151488819[/C][/ROW]
[ROW][C]44[/C][C]124[/C][C]135.197170630283[/C][C]-11.1971706302825[/C][/ROW]
[ROW][C]45[/C][C]115[/C][C]130.200782408555[/C][C]-15.2007824085549[/C][/ROW]
[ROW][C]46[/C][C]128[/C][C]93.369919567965[/C][C]34.6300804320351[/C][/ROW]
[ROW][C]47[/C][C]80[/C][C]89.758681750313[/C][C]-9.75868175031307[/C][/ROW]
[ROW][C]48[/C][C]97[/C][C]95.6136601297176[/C][C]1.38633987028242[/C][/ROW]
[ROW][C]49[/C][C]104[/C][C]74.7252206440508[/C][C]29.2747793559492[/C][/ROW]
[ROW][C]50[/C][C]59[/C][C]65.2784562154445[/C][C]-6.27845621544452[/C][/ROW]
[ROW][C]51[/C][C]125[/C][C]148.83482918927[/C][C]-23.8348291892703[/C][/ROW]
[ROW][C]52[/C][C]82[/C][C]61.226737004602[/C][C]20.773262995398[/C][/ROW]
[ROW][C]53[/C][C]149[/C][C]114.179782702748[/C][C]34.8202172972517[/C][/ROW]
[ROW][C]54[/C][C]149[/C][C]133.958386298969[/C][C]15.0416137010309[/C][/ROW]
[ROW][C]55[/C][C]122[/C][C]101.961152657529[/C][C]20.038847342471[/C][/ROW]
[ROW][C]56[/C][C]118[/C][C]106.716492555692[/C][C]11.2835074443079[/C][/ROW]
[ROW][C]57[/C][C]12[/C][C]43.8592489055722[/C][C]-31.8592489055722[/C][/ROW]
[ROW][C]58[/C][C]144[/C][C]158.317043147484[/C][C]-14.3170431474845[/C][/ROW]
[ROW][C]59[/C][C]67[/C][C]56.6706277949557[/C][C]10.3293722050443[/C][/ROW]
[ROW][C]60[/C][C]52[/C][C]71.4324027260653[/C][C]-19.4324027260653[/C][/ROW]
[ROW][C]61[/C][C]108[/C][C]107.896547825774[/C][C]0.10345217422626[/C][/ROW]
[ROW][C]62[/C][C]166[/C][C]130.426481090252[/C][C]35.5735189097476[/C][/ROW]
[ROW][C]63[/C][C]80[/C][C]133.356875089976[/C][C]-53.3568750899756[/C][/ROW]
[ROW][C]64[/C][C]60[/C][C]68.8502978272326[/C][C]-8.8502978272326[/C][/ROW]
[ROW][C]65[/C][C]107[/C][C]126.48712267615[/C][C]-19.4871226761503[/C][/ROW]
[ROW][C]66[/C][C]127[/C][C]150.220429553303[/C][C]-23.2204295533026[/C][/ROW]
[ROW][C]67[/C][C]107[/C][C]112.764472168615[/C][C]-5.76447216861532[/C][/ROW]
[ROW][C]68[/C][C]146[/C][C]151.978432865103[/C][C]-5.97843286510332[/C][/ROW]
[ROW][C]69[/C][C]84[/C][C]131.205029183632[/C][C]-47.2050291836319[/C][/ROW]
[ROW][C]70[/C][C]141[/C][C]92.8777941885816[/C][C]48.1222058114183[/C][/ROW]
[ROW][C]71[/C][C]123[/C][C]100.030530566372[/C][C]22.9694694336281[/C][/ROW]
[ROW][C]72[/C][C]111[/C][C]98.1226628233386[/C][C]12.8773371766614[/C][/ROW]
[ROW][C]73[/C][C]98[/C][C]106.043531672557[/C][C]-8.04353167255662[/C][/ROW]
[ROW][C]74[/C][C]105[/C][C]99.2778391329239[/C][C]5.72216086707614[/C][/ROW]
[ROW][C]75[/C][C]135[/C][C]107.53539274563[/C][C]27.4646072543696[/C][/ROW]
[ROW][C]76[/C][C]107[/C][C]126.606019171137[/C][C]-19.6060191711372[/C][/ROW]
[ROW][C]77[/C][C]85[/C][C]117.320226894538[/C][C]-32.3202268945381[/C][/ROW]
[ROW][C]78[/C][C]155[/C][C]103.481961512516[/C][C]51.5180384874836[/C][/ROW]
[ROW][C]79[/C][C]88[/C][C]59.5873720900888[/C][C]28.4126279099112[/C][/ROW]
[ROW][C]80[/C][C]155[/C][C]104.202605805996[/C][C]50.7973941940044[/C][/ROW]
[ROW][C]81[/C][C]104[/C][C]102.824012616131[/C][C]1.17598738386917[/C][/ROW]
[ROW][C]82[/C][C]132[/C][C]114.423344027665[/C][C]17.5766559723348[/C][/ROW]
[ROW][C]83[/C][C]127[/C][C]149.160211023324[/C][C]-22.1602110233241[/C][/ROW]
[ROW][C]84[/C][C]108[/C][C]126.950117233884[/C][C]-18.9501172338836[/C][/ROW]
[ROW][C]85[/C][C]129[/C][C]110.35347301329[/C][C]18.6465269867096[/C][/ROW]
[ROW][C]86[/C][C]116[/C][C]108.766876372156[/C][C]7.23312362784423[/C][/ROW]
[ROW][C]87[/C][C]122[/C][C]95.6124382704313[/C][C]26.3875617295687[/C][/ROW]
[ROW][C]88[/C][C]85[/C][C]80.5462989434837[/C][C]4.45370105651628[/C][/ROW]
[ROW][C]89[/C][C]147[/C][C]157.460554813536[/C][C]-10.4605548135358[/C][/ROW]
[ROW][C]90[/C][C]99[/C][C]79.2872866027851[/C][C]19.7127133972149[/C][/ROW]
[ROW][C]91[/C][C]87[/C][C]124.126105370557[/C][C]-37.1261053705569[/C][/ROW]
[ROW][C]92[/C][C]28[/C][C]74.427664222996[/C][C]-46.427664222996[/C][/ROW]
[ROW][C]93[/C][C]90[/C][C]68.9719438601575[/C][C]21.0280561398425[/C][/ROW]
[ROW][C]94[/C][C]109[/C][C]96.533497656139[/C][C]12.466502343861[/C][/ROW]
[ROW][C]95[/C][C]78[/C][C]81.6184081601611[/C][C]-3.61840816016109[/C][/ROW]
[ROW][C]96[/C][C]111[/C][C]122.6500284169[/C][C]-11.6500284168999[/C][/ROW]
[ROW][C]97[/C][C]158[/C][C]120.045582376712[/C][C]37.9544176232879[/C][/ROW]
[ROW][C]98[/C][C]141[/C][C]121.467120285918[/C][C]19.5328797140817[/C][/ROW]
[ROW][C]99[/C][C]122[/C][C]107.114787810316[/C][C]14.8852121896843[/C][/ROW]
[ROW][C]100[/C][C]124[/C][C]132.897007483467[/C][C]-8.89700748346726[/C][/ROW]
[ROW][C]101[/C][C]93[/C][C]77.8322835706328[/C][C]15.1677164293672[/C][/ROW]
[ROW][C]102[/C][C]124[/C][C]119.207708392952[/C][C]4.79229160704766[/C][/ROW]
[ROW][C]103[/C][C]112[/C][C]111.700158460717[/C][C]0.299841539283325[/C][/ROW]
[ROW][C]104[/C][C]108[/C][C]99.326013996334[/C][C]8.67398600366595[/C][/ROW]
[ROW][C]105[/C][C]99[/C][C]111.671050465951[/C][C]-12.6710504659506[/C][/ROW]
[ROW][C]106[/C][C]117[/C][C]147.449383592807[/C][C]-30.4493835928072[/C][/ROW]
[ROW][C]107[/C][C]199[/C][C]137.482573786596[/C][C]61.5174262134041[/C][/ROW]
[ROW][C]108[/C][C]78[/C][C]66.5529943951573[/C][C]11.4470056048427[/C][/ROW]
[ROW][C]109[/C][C]91[/C][C]154.977278672583[/C][C]-63.9772786725832[/C][/ROW]
[ROW][C]110[/C][C]158[/C][C]125.91665452479[/C][C]32.0833454752096[/C][/ROW]
[ROW][C]111[/C][C]126[/C][C]138.123876380645[/C][C]-12.1238763806447[/C][/ROW]
[ROW][C]112[/C][C]122[/C][C]91.6093667415692[/C][C]30.3906332584308[/C][/ROW]
[ROW][C]113[/C][C]71[/C][C]49.5886815193873[/C][C]21.4113184806127[/C][/ROW]
[ROW][C]114[/C][C]75[/C][C]99.48793001088[/C][C]-24.4879300108799[/C][/ROW]
[ROW][C]115[/C][C]115[/C][C]111.89063813802[/C][C]3.10936186197978[/C][/ROW]
[ROW][C]116[/C][C]119[/C][C]123.572077318059[/C][C]-4.57207731805901[/C][/ROW]
[ROW][C]117[/C][C]124[/C][C]153.560043334596[/C][C]-29.5600433345961[/C][/ROW]
[ROW][C]118[/C][C]72[/C][C]101.415879332762[/C][C]-29.4158793327619[/C][/ROW]
[ROW][C]119[/C][C]91[/C][C]70.7929043611877[/C][C]20.2070956388123[/C][/ROW]
[ROW][C]120[/C][C]45[/C][C]71.0963942865932[/C][C]-26.0963942865931[/C][/ROW]
[ROW][C]121[/C][C]78[/C][C]86.565835421633[/C][C]-8.56583542163295[/C][/ROW]
[ROW][C]122[/C][C]39[/C][C]60.1642442035371[/C][C]-21.1642442035371[/C][/ROW]
[ROW][C]123[/C][C]68[/C][C]75.8213478013499[/C][C]-7.82134780134989[/C][/ROW]
[ROW][C]124[/C][C]119[/C][C]97.5276373633047[/C][C]21.4723626366953[/C][/ROW]
[ROW][C]125[/C][C]117[/C][C]108.561887372917[/C][C]8.43811262708323[/C][/ROW]
[ROW][C]126[/C][C]39[/C][C]64.8349016766354[/C][C]-25.8349016766354[/C][/ROW]
[ROW][C]127[/C][C]50[/C][C]70.076516587221[/C][C]-20.076516587221[/C][/ROW]
[ROW][C]128[/C][C]88[/C][C]82.8929976681671[/C][C]5.1070023318329[/C][/ROW]
[ROW][C]129[/C][C]155[/C][C]149.390274596762[/C][C]5.6097254032381[/C][/ROW]
[ROW][C]130[/C][C]0[/C][C]45.0816805489175[/C][C]-45.0816805489175[/C][/ROW]
[ROW][C]131[/C][C]36[/C][C]42.632990430717[/C][C]-6.632990430717[/C][/ROW]
[ROW][C]132[/C][C]123[/C][C]116.272859518688[/C][C]6.72714048131245[/C][/ROW]
[ROW][C]133[/C][C]32[/C][C]60.5823220179706[/C][C]-28.5823220179706[/C][/ROW]
[ROW][C]134[/C][C]99[/C][C]69.7121221951228[/C][C]29.2878778048771[/C][/ROW]
[ROW][C]135[/C][C]136[/C][C]95.8320626306449[/C][C]40.1679373693551[/C][/ROW]
[ROW][C]136[/C][C]117[/C][C]154.192969623499[/C][C]-37.1929696234992[/C][/ROW]
[ROW][C]137[/C][C]0[/C][C]40.943341704594[/C][C]-40.943341704594[/C][/ROW]
[ROW][C]138[/C][C]88[/C][C]104.049188411964[/C][C]-16.0491884119644[/C][/ROW]
[ROW][C]139[/C][C]39[/C][C]44.3443818729166[/C][C]-5.3443818729166[/C][/ROW]
[ROW][C]140[/C][C]25[/C][C]50.883114660198[/C][C]-25.883114660198[/C][/ROW]
[ROW][C]141[/C][C]52[/C][C]51.2816762861601[/C][C]0.718323713839902[/C][/ROW]
[ROW][C]142[/C][C]75[/C][C]87.8448332363757[/C][C]-12.8448332363757[/C][/ROW]
[ROW][C]143[/C][C]71[/C][C]57.1181254905727[/C][C]13.8818745094273[/C][/ROW]
[ROW][C]144[/C][C]124[/C][C]127.725502789856[/C][C]-3.72550278985617[/C][/ROW]
[ROW][C]145[/C][C]151[/C][C]101.646587752261[/C][C]49.353412247739[/C][/ROW]
[ROW][C]146[/C][C]71[/C][C]61.069490088234[/C][C]9.93050991176603[/C][/ROW]
[ROW][C]147[/C][C]145[/C][C]79.3113751800949[/C][C]65.6886248199051[/C][/ROW]
[ROW][C]148[/C][C]87[/C][C]64.6834761981136[/C][C]22.3165238018864[/C][/ROW]
[ROW][C]149[/C][C]27[/C][C]52.676318410571[/C][C]-25.676318410571[/C][/ROW]
[ROW][C]150[/C][C]131[/C][C]86.8733538443612[/C][C]44.1266461556388[/C][/ROW]
[ROW][C]151[/C][C]162[/C][C]137.629010475847[/C][C]24.3709895241528[/C][/ROW]
[ROW][C]152[/C][C]165[/C][C]95.7995619434535[/C][C]69.2004380565465[/C][/ROW]
[ROW][C]153[/C][C]54[/C][C]75.7434037055838[/C][C]-21.7434037055838[/C][/ROW]
[ROW][C]154[/C][C]159[/C][C]158.46725445507[/C][C]0.532745544929581[/C][/ROW]
[ROW][C]155[/C][C]147[/C][C]152.213235447291[/C][C]-5.21323544729057[/C][/ROW]
[ROW][C]156[/C][C]170[/C][C]168.453488935187[/C][C]1.5465110648125[/C][/ROW]
[ROW][C]157[/C][C]119[/C][C]97.4651098804183[/C][C]21.5348901195817[/C][/ROW]
[ROW][C]158[/C][C]49[/C][C]67.5667329219324[/C][C]-18.5667329219324[/C][/ROW]
[ROW][C]159[/C][C]104[/C][C]67.0433763922165[/C][C]36.9566236077835[/C][/ROW]
[ROW][C]160[/C][C]120[/C][C]127.443553251355[/C][C]-7.44355325135512[/C][/ROW]
[ROW][C]161[/C][C]150[/C][C]145.319960162702[/C][C]4.68003983729841[/C][/ROW]
[ROW][C]162[/C][C]112[/C][C]57.293726610822[/C][C]54.706273389178[/C][/ROW]
[ROW][C]163[/C][C]59[/C][C]81.5552726029897[/C][C]-22.5552726029897[/C][/ROW]
[ROW][C]164[/C][C]136[/C][C]148.735083608153[/C][C]-12.735083608153[/C][/ROW]
[ROW][C]165[/C][C]107[/C][C]82.0108199224847[/C][C]24.9891800775153[/C][/ROW]
[ROW][C]166[/C][C]130[/C][C]122.824832820055[/C][C]7.1751671799451[/C][/ROW]
[ROW][C]167[/C][C]115[/C][C]103.788599366827[/C][C]11.2114006331734[/C][/ROW]
[ROW][C]168[/C][C]107[/C][C]77.4888425221794[/C][C]29.5111574778206[/C][/ROW]
[ROW][C]169[/C][C]75[/C][C]87.0603977790866[/C][C]-12.0603977790866[/C][/ROW]
[ROW][C]170[/C][C]71[/C][C]105.110190538377[/C][C]-34.1101905383768[/C][/ROW]
[ROW][C]171[/C][C]120[/C][C]127.611311472408[/C][C]-7.6113114724083[/C][/ROW]
[ROW][C]172[/C][C]116[/C][C]129.373014934635[/C][C]-13.3730149346347[/C][/ROW]
[ROW][C]173[/C][C]79[/C][C]82.312287243955[/C][C]-3.31228724395501[/C][/ROW]
[ROW][C]174[/C][C]150[/C][C]141.460097746544[/C][C]8.53990225345569[/C][/ROW]
[ROW][C]175[/C][C]156[/C][C]122.474222250546[/C][C]33.5257777494537[/C][/ROW]
[ROW][C]176[/C][C]51[/C][C]69.7155550930475[/C][C]-18.7155550930475[/C][/ROW]
[ROW][C]177[/C][C]118[/C][C]111.112910980179[/C][C]6.8870890198209[/C][/ROW]
[ROW][C]178[/C][C]71[/C][C]65.5670887692308[/C][C]5.43291123076918[/C][/ROW]
[ROW][C]179[/C][C]144[/C][C]144.963749517096[/C][C]-0.96374951709591[/C][/ROW]
[ROW][C]180[/C][C]47[/C][C]84.0846450157053[/C][C]-37.0846450157053[/C][/ROW]
[ROW][C]181[/C][C]28[/C][C]62.1554519927135[/C][C]-34.1554519927135[/C][/ROW]
[ROW][C]182[/C][C]68[/C][C]76.2366906812294[/C][C]-8.23669068122941[/C][/ROW]
[ROW][C]183[/C][C]0[/C][C]40.9754232241391[/C][C]-40.9754232241391[/C][/ROW]
[ROW][C]184[/C][C]110[/C][C]93.4747126238892[/C][C]16.5252873761108[/C][/ROW]
[ROW][C]185[/C][C]147[/C][C]142.20320468973[/C][C]4.79679531026974[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]40.8695332742751[/C][C]-40.8695332742751[/C][/ROW]
[ROW][C]187[/C][C]15[/C][C]50.7821932786728[/C][C]-35.7821932786728[/C][/ROW]
[ROW][C]188[/C][C]4[/C][C]40.0766592141599[/C][C]-36.0766592141599[/C][/ROW]
[ROW][C]189[/C][C]64[/C][C]73.4072892575195[/C][C]-9.40728925751947[/C][/ROW]
[ROW][C]190[/C][C]111[/C][C]74.164273955576[/C][C]36.8357260444241[/C][/ROW]
[ROW][C]191[/C][C]85[/C][C]87.3040304435644[/C][C]-2.30403044356436[/C][/ROW]
[ROW][C]192[/C][C]68[/C][C]61.1979233635003[/C][C]6.80207663649975[/C][/ROW]
[ROW][C]193[/C][C]40[/C][C]69.333398149468[/C][C]-29.333398149468[/C][/ROW]
[ROW][C]194[/C][C]80[/C][C]50.812185141774[/C][C]29.187814858226[/C][/ROW]
[ROW][C]195[/C][C]88[/C][C]87.8298650137222[/C][C]0.170134986277801[/C][/ROW]
[ROW][C]196[/C][C]48[/C][C]83.1304493763156[/C][C]-35.1304493763156[/C][/ROW]
[ROW][C]197[/C][C]76[/C][C]55.3062712478087[/C][C]20.6937287521913[/C][/ROW]
[ROW][C]198[/C][C]51[/C][C]56.0657797571166[/C][C]-5.06577975711663[/C][/ROW]
[ROW][C]199[/C][C]67[/C][C]67.6401712077661[/C][C]-0.640171207766102[/C][/ROW]
[ROW][C]200[/C][C]59[/C][C]65.9114999588502[/C][C]-6.91149995885018[/C][/ROW]
[ROW][C]201[/C][C]61[/C][C]63.8863373531875[/C][C]-2.88633735318746[/C][/ROW]
[ROW][C]202[/C][C]76[/C][C]53.9537394809584[/C][C]22.0462605190416[/C][/ROW]
[ROW][C]203[/C][C]60[/C][C]81.9634680304188[/C][C]-21.9634680304188[/C][/ROW]
[ROW][C]204[/C][C]68[/C][C]68.6031707741764[/C][C]-0.603170774176361[/C][/ROW]
[ROW][C]205[/C][C]71[/C][C]61.8870876988083[/C][C]9.11291230119168[/C][/ROW]
[ROW][C]206[/C][C]76[/C][C]49.3550111755178[/C][C]26.6449888244822[/C][/ROW]
[ROW][C]207[/C][C]62[/C][C]64.8228140595652[/C][C]-2.82281405956524[/C][/ROW]
[ROW][C]208[/C][C]61[/C][C]86.2469151593574[/C][C]-25.2469151593574[/C][/ROW]
[ROW][C]209[/C][C]67[/C][C]77.8074844077799[/C][C]-10.8074844077799[/C][/ROW]
[ROW][C]210[/C][C]88[/C][C]79.3163748412059[/C][C]8.68362515879413[/C][/ROW]
[ROW][C]211[/C][C]30[/C][C]64.458833434489[/C][C]-34.458833434489[/C][/ROW]
[ROW][C]212[/C][C]64[/C][C]75.4093026390944[/C][C]-11.4093026390944[/C][/ROW]
[ROW][C]213[/C][C]68[/C][C]55.7855285591672[/C][C]12.2144714408328[/C][/ROW]
[ROW][C]214[/C][C]64[/C][C]69.6859337500412[/C][C]-5.68593375004115[/C][/ROW]
[ROW][C]215[/C][C]91[/C][C]42.4482123526757[/C][C]48.5517876473243[/C][/ROW]
[ROW][C]216[/C][C]88[/C][C]48.034621135517[/C][C]39.965378864483[/C][/ROW]
[ROW][C]217[/C][C]52[/C][C]57.8275073356363[/C][C]-5.82750733563626[/C][/ROW]
[ROW][C]218[/C][C]49[/C][C]52.4628157193545[/C][C]-3.46281571935445[/C][/ROW]
[ROW][C]219[/C][C]62[/C][C]61.6818704700461[/C][C]0.318129529953852[/C][/ROW]
[ROW][C]220[/C][C]61[/C][C]57.7346787342473[/C][C]3.26532126575269[/C][/ROW]
[ROW][C]221[/C][C]76[/C][C]61.9433630724476[/C][C]14.0566369275524[/C][/ROW]
[ROW][C]222[/C][C]88[/C][C]62.855920490173[/C][C]25.1440795098271[/C][/ROW]
[ROW][C]223[/C][C]66[/C][C]73.5291324677939[/C][C]-7.52913246779387[/C][/ROW]
[ROW][C]224[/C][C]71[/C][C]60.1024302553393[/C][C]10.8975697446607[/C][/ROW]
[ROW][C]225[/C][C]68[/C][C]46.0082335013126[/C][C]21.9917664986874[/C][/ROW]
[ROW][C]226[/C][C]48[/C][C]81.8804687256244[/C][C]-33.8804687256244[/C][/ROW]
[ROW][C]227[/C][C]25[/C][C]62.6639920688741[/C][C]-37.6639920688741[/C][/ROW]
[ROW][C]228[/C][C]68[/C][C]64.816307371832[/C][C]3.18369262816795[/C][/ROW]
[ROW][C]229[/C][C]41[/C][C]62.8120499001453[/C][C]-21.8120499001453[/C][/ROW]
[ROW][C]230[/C][C]90[/C][C]60.218903915931[/C][C]29.781096084069[/C][/ROW]
[ROW][C]231[/C][C]66[/C][C]40.9221645257653[/C][C]25.0778354742347[/C][/ROW]
[ROW][C]232[/C][C]54[/C][C]67.3151518213421[/C][C]-13.3151518213421[/C][/ROW]
[ROW][C]233[/C][C]59[/C][C]61.6465153797577[/C][C]-2.64651537975768[/C][/ROW]
[ROW][C]234[/C][C]60[/C][C]52.6736369140407[/C][C]7.3263630859593[/C][/ROW]
[ROW][C]235[/C][C]77[/C][C]62.1096131578165[/C][C]14.8903868421835[/C][/ROW]
[ROW][C]236[/C][C]68[/C][C]67.6747077751026[/C][C]0.325292224897361[/C][/ROW]
[ROW][C]237[/C][C]72[/C][C]77.2917841446344[/C][C]-5.29178414463444[/C][/ROW]
[ROW][C]238[/C][C]67[/C][C]54.472960889161[/C][C]12.527039110839[/C][/ROW]
[ROW][C]239[/C][C]64[/C][C]62.9178869882099[/C][C]1.08211301179014[/C][/ROW]
[ROW][C]240[/C][C]63[/C][C]51.2324347861888[/C][C]11.7675652138112[/C][/ROW]
[ROW][C]241[/C][C]59[/C][C]60.7549695638167[/C][C]-1.75496956381672[/C][/ROW]
[ROW][C]242[/C][C]84[/C][C]82.0437856128714[/C][C]1.95621438712856[/C][/ROW]
[ROW][C]243[/C][C]64[/C][C]63.9479859926159[/C][C]0.0520140073841434[/C][/ROW]
[ROW][C]244[/C][C]56[/C][C]56.527621021977[/C][C]-0.527621021977012[/C][/ROW]
[ROW][C]245[/C][C]54[/C][C]61.0319306877336[/C][C]-7.03193068773361[/C][/ROW]
[ROW][C]246[/C][C]67[/C][C]63.6519108543237[/C][C]3.34808914567633[/C][/ROW]
[ROW][C]247[/C][C]58[/C][C]75.3397307050391[/C][C]-17.3397307050391[/C][/ROW]
[ROW][C]248[/C][C]59[/C][C]61.0824457619582[/C][C]-2.0824457619582[/C][/ROW]
[ROW][C]249[/C][C]40[/C][C]63.5900697782396[/C][C]-23.5900697782396[/C][/ROW]
[ROW][C]250[/C][C]22[/C][C]50.5103174110034[/C][C]-28.5103174110034[/C][/ROW]
[ROW][C]251[/C][C]83[/C][C]79.8563134546095[/C][C]3.14368654539046[/C][/ROW]
[ROW][C]252[/C][C]81[/C][C]76.3989473615862[/C][C]4.60105263841379[/C][/ROW]
[ROW][C]253[/C][C]2[/C][C]47.1761633368507[/C][C]-45.1761633368507[/C][/ROW]
[ROW][C]254[/C][C]72[/C][C]61.9210486287[/C][C]10.0789513712999[/C][/ROW]
[ROW][C]255[/C][C]61[/C][C]60.3505261351461[/C][C]0.649473864853854[/C][/ROW]
[ROW][C]256[/C][C]15[/C][C]45.3746247162365[/C][C]-30.3746247162365[/C][/ROW]
[ROW][C]257[/C][C]32[/C][C]53.4450349316936[/C][C]-21.4450349316936[/C][/ROW]
[ROW][C]258[/C][C]62[/C][C]68.2050865831316[/C][C]-6.20508658313164[/C][/ROW]
[ROW][C]259[/C][C]58[/C][C]56.6317796645674[/C][C]1.36822033543257[/C][/ROW]
[ROW][C]260[/C][C]36[/C][C]52.894033324318[/C][C]-16.894033324318[/C][/ROW]
[ROW][C]261[/C][C]59[/C][C]41.5547552284008[/C][C]17.4452447715992[/C][/ROW]
[ROW][C]262[/C][C]68[/C][C]73.016786375255[/C][C]-5.01678637525496[/C][/ROW]
[ROW][C]263[/C][C]21[/C][C]44.9720190443337[/C][C]-23.9720190443337[/C][/ROW]
[ROW][C]264[/C][C]55[/C][C]63.2290145866533[/C][C]-8.2290145866533[/C][/ROW]
[ROW][C]265[/C][C]54[/C][C]54.7193488291885[/C][C]-0.719348829188477[/C][/ROW]
[ROW][C]266[/C][C]55[/C][C]70.0693857579492[/C][C]-15.0693857579492[/C][/ROW]
[ROW][C]267[/C][C]72[/C][C]67.0800010793348[/C][C]4.91999892066514[/C][/ROW]
[ROW][C]268[/C][C]41[/C][C]64.831578955079[/C][C]-23.831578955079[/C][/ROW]
[ROW][C]269[/C][C]61[/C][C]78.3670843876128[/C][C]-17.3670843876128[/C][/ROW]
[ROW][C]270[/C][C]67[/C][C]68.7979683945463[/C][C]-1.79796839454627[/C][/ROW]
[ROW][C]271[/C][C]76[/C][C]62.8684968899828[/C][C]13.1315031100172[/C][/ROW]
[ROW][C]272[/C][C]64[/C][C]60.3926565579518[/C][C]3.60734344204816[/C][/ROW]
[ROW][C]273[/C][C]3[/C][C]45.5965051827757[/C][C]-42.5965051827757[/C][/ROW]
[ROW][C]274[/C][C]63[/C][C]79.2633636843489[/C][C]-16.2633636843489[/C][/ROW]
[ROW][C]275[/C][C]40[/C][C]59.5236155062022[/C][C]-19.5236155062022[/C][/ROW]
[ROW][C]276[/C][C]69[/C][C]65.3560921666884[/C][C]3.64390783331161[/C][/ROW]
[ROW][C]277[/C][C]48[/C][C]47.0126713738235[/C][C]0.987328626176508[/C][/ROW]
[ROW][C]278[/C][C]8[/C][C]45.204934723638[/C][C]-37.204934723638[/C][/ROW]
[ROW][C]279[/C][C]52[/C][C]67.376000234438[/C][C]-15.376000234438[/C][/ROW]
[ROW][C]280[/C][C]66[/C][C]60.649007799642[/C][C]5.35099220035795[/C][/ROW]
[ROW][C]281[/C][C]76[/C][C]63.6099438126382[/C][C]12.3900561873618[/C][/ROW]
[ROW][C]282[/C][C]43[/C][C]62.7961306920422[/C][C]-19.7961306920422[/C][/ROW]
[ROW][C]283[/C][C]39[/C][C]63.3508635492718[/C][C]-24.3508635492718[/C][/ROW]
[ROW][C]284[/C][C]14[/C][C]47.0989150524661[/C][C]-33.0989150524661[/C][/ROW]
[ROW][C]285[/C][C]61[/C][C]53.731191996805[/C][C]7.26880800319495[/C][/ROW]
[ROW][C]286[/C][C]71[/C][C]48.4725127936212[/C][C]22.5274872063788[/C][/ROW]
[ROW][C]287[/C][C]44[/C][C]51.4095648104202[/C][C]-7.40956481042015[/C][/ROW]
[ROW][C]288[/C][C]60[/C][C]62.293166374655[/C][C]-2.293166374655[/C][/ROW]
[ROW][C]289[/C][C]64[/C][C]55.1327358155264[/C][C]8.86726418447358[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157471&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157471&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
1115119.627687890858-4.62768789085844
210992.878956230404516.1210437695955
314698.743848568176847.2561514318232
4116122.139678323973-6.13967832397276
56886.2391801750754-18.2391801750754
610147.933739089837153.0662609101629
796164.217685521465-68.2176855214654
86744.364311022103522.6356889778965
94466.6550062315511-22.6550062315511
1010082.277983545265317.7220164547347
119399.8976711966117-6.89767119661169
12140123.76874185572216.2312581442778
13166115.07087019813850.9291298018615
149982.135287503825816.8647124961742
15139135.0521641326183.94783586738171
16130102.33507021447327.6649297855266
17181165.56684406674815.4331559332517
18116130.880696618764-14.8806966187644
19116121.845271418133-5.84527141813306
2088104.151385526882-16.1513855268823
21139129.2629996958219.73700030417868
22135125.7642560382379.23574396176292
23108144.497622878553-36.4976228785533
248990.1328129866554-1.13281298665541
25156101.41638335202354.5836166479774
26129124.9981826401194.0018173598812
27118102.21746467445715.7825353255431
28118118.116003516057-0.116003516056675
29125133.845140541024-8.84514054102434
309581.711357483191513.2886425168085
31126130.614366832738-4.61436683273843
32135122.78896979679812.2110302032018
3315490.123079053861663.8769209461384
34165146.34857997577818.6514200242218
3511371.261307295635841.7386927043642
36127142.573901479265-15.573901479265
375271.469777548727-19.469777548727
38121108.64401369946712.3559863005326
39136138.140512571952-2.14051257195186
40038.1135860069071-38.1135860069071
4110897.989371022532210.0106289774678
424673.1194507906148-27.1194507906148
435471.878151488819-17.878151488819
44124135.197170630283-11.1971706302825
45115130.200782408555-15.2007824085549
4612893.36991956796534.6300804320351
478089.758681750313-9.75868175031307
489795.61366012971761.38633987028242
4910474.725220644050829.2747793559492
505965.2784562154445-6.27845621544452
51125148.83482918927-23.8348291892703
528261.22673700460220.773262995398
53149114.17978270274834.8202172972517
54149133.95838629896915.0416137010309
55122101.96115265752920.038847342471
56118106.71649255569211.2835074443079
571243.8592489055722-31.8592489055722
58144158.317043147484-14.3170431474845
596756.670627794955710.3293722050443
605271.4324027260653-19.4324027260653
61108107.8965478257740.10345217422626
62166130.42648109025235.5735189097476
6380133.356875089976-53.3568750899756
646068.8502978272326-8.8502978272326
65107126.48712267615-19.4871226761503
66127150.220429553303-23.2204295533026
67107112.764472168615-5.76447216861532
68146151.978432865103-5.97843286510332
6984131.205029183632-47.2050291836319
7014192.877794188581648.1222058114183
71123100.03053056637222.9694694336281
7211198.122662823338612.8773371766614
7398106.043531672557-8.04353167255662
7410599.27783913292395.72216086707614
75135107.5353927456327.4646072543696
76107126.606019171137-19.6060191711372
7785117.320226894538-32.3202268945381
78155103.48196151251651.5180384874836
798859.587372090088828.4126279099112
80155104.20260580599650.7973941940044
81104102.8240126161311.17598738386917
82132114.42334402766517.5766559723348
83127149.160211023324-22.1602110233241
84108126.950117233884-18.9501172338836
85129110.3534730132918.6465269867096
86116108.7668763721567.23312362784423
8712295.612438270431326.3875617295687
888580.54629894348374.45370105651628
89147157.460554813536-10.4605548135358
909979.287286602785119.7127133972149
9187124.126105370557-37.1261053705569
922874.427664222996-46.427664222996
939068.971943860157521.0280561398425
9410996.53349765613912.466502343861
957881.6184081601611-3.61840816016109
96111122.6500284169-11.6500284168999
97158120.04558237671237.9544176232879
98141121.46712028591819.5328797140817
99122107.11478781031614.8852121896843
100124132.897007483467-8.89700748346726
1019377.832283570632815.1677164293672
102124119.2077083929524.79229160704766
103112111.7001584607170.299841539283325
10410899.3260139963348.67398600366595
10599111.671050465951-12.6710504659506
106117147.449383592807-30.4493835928072
107199137.48257378659661.5174262134041
1087866.552994395157311.4470056048427
10991154.977278672583-63.9772786725832
110158125.9166545247932.0833454752096
111126138.123876380645-12.1238763806447
11212291.609366741569230.3906332584308
1137149.588681519387321.4113184806127
1147599.48793001088-24.4879300108799
115115111.890638138023.10936186197978
116119123.572077318059-4.57207731805901
117124153.560043334596-29.5600433345961
11872101.415879332762-29.4158793327619
1199170.792904361187720.2070956388123
1204571.0963942865932-26.0963942865931
1217886.565835421633-8.56583542163295
1223960.1642442035371-21.1642442035371
1236875.8213478013499-7.82134780134989
12411997.527637363304721.4723626366953
125117108.5618873729178.43811262708323
1263964.8349016766354-25.8349016766354
1275070.076516587221-20.076516587221
1288882.89299766816715.1070023318329
129155149.3902745967625.6097254032381
130045.0816805489175-45.0816805489175
1313642.632990430717-6.632990430717
132123116.2728595186886.72714048131245
1333260.5823220179706-28.5823220179706
1349969.712122195122829.2878778048771
13513695.832062630644940.1679373693551
136117154.192969623499-37.1929696234992
137040.943341704594-40.943341704594
13888104.049188411964-16.0491884119644
1393944.3443818729166-5.3443818729166
1402550.883114660198-25.883114660198
1415251.28167628616010.718323713839902
1427587.8448332363757-12.8448332363757
1437157.118125490572713.8818745094273
144124127.725502789856-3.72550278985617
145151101.64658775226149.353412247739
1467161.0694900882349.93050991176603
14714579.311375180094965.6886248199051
1488764.683476198113622.3165238018864
1492752.676318410571-25.676318410571
15013186.873353844361244.1266461556388
151162137.62901047584724.3709895241528
15216595.799561943453569.2004380565465
1535475.7434037055838-21.7434037055838
154159158.467254455070.532745544929581
155147152.213235447291-5.21323544729057
156170168.4534889351871.5465110648125
15711997.465109880418321.5348901195817
1584967.5667329219324-18.5667329219324
15910467.043376392216536.9566236077835
160120127.443553251355-7.44355325135512
161150145.3199601627024.68003983729841
16211257.29372661082254.706273389178
1635981.5552726029897-22.5552726029897
164136148.735083608153-12.735083608153
16510782.010819922484724.9891800775153
166130122.8248328200557.1751671799451
167115103.78859936682711.2114006331734
16810777.488842522179429.5111574778206
1697587.0603977790866-12.0603977790866
17071105.110190538377-34.1101905383768
171120127.611311472408-7.6113114724083
172116129.373014934635-13.3730149346347
1737982.312287243955-3.31228724395501
174150141.4600977465448.53990225345569
175156122.47422225054633.5257777494537
1765169.7155550930475-18.7155550930475
177118111.1129109801796.8870890198209
1787165.56708876923085.43291123076918
179144144.963749517096-0.96374951709591
1804784.0846450157053-37.0846450157053
1812862.1554519927135-34.1554519927135
1826876.2366906812294-8.23669068122941
183040.9754232241391-40.9754232241391
18411093.474712623889216.5252873761108
185147142.203204689734.79679531026974
186040.8695332742751-40.8695332742751
1871550.7821932786728-35.7821932786728
188440.0766592141599-36.0766592141599
1896473.4072892575195-9.40728925751947
19011174.16427395557636.8357260444241
1918587.3040304435644-2.30403044356436
1926861.19792336350036.80207663649975
1934069.333398149468-29.333398149468
1948050.81218514177429.187814858226
1958887.82986501372220.170134986277801
1964883.1304493763156-35.1304493763156
1977655.306271247808720.6937287521913
1985156.0657797571166-5.06577975711663
1996767.6401712077661-0.640171207766102
2005965.9114999588502-6.91149995885018
2016163.8863373531875-2.88633735318746
2027653.953739480958422.0462605190416
2036081.9634680304188-21.9634680304188
2046868.6031707741764-0.603170774176361
2057161.88708769880839.11291230119168
2067649.355011175517826.6449888244822
2076264.8228140595652-2.82281405956524
2086186.2469151593574-25.2469151593574
2096777.8074844077799-10.8074844077799
2108879.31637484120598.68362515879413
2113064.458833434489-34.458833434489
2126475.4093026390944-11.4093026390944
2136855.785528559167212.2144714408328
2146469.6859337500412-5.68593375004115
2159142.448212352675748.5517876473243
2168848.03462113551739.965378864483
2175257.8275073356363-5.82750733563626
2184952.4628157193545-3.46281571935445
2196261.68187047004610.318129529953852
2206157.73467873424733.26532126575269
2217661.943363072447614.0566369275524
2228862.85592049017325.1440795098271
2236673.5291324677939-7.52913246779387
2247160.102430255339310.8975697446607
2256846.008233501312621.9917664986874
2264881.8804687256244-33.8804687256244
2272562.6639920688741-37.6639920688741
2286864.8163073718323.18369262816795
2294162.8120499001453-21.8120499001453
2309060.21890391593129.781096084069
2316640.922164525765325.0778354742347
2325467.3151518213421-13.3151518213421
2335961.6465153797577-2.64651537975768
2346052.67363691404077.3263630859593
2357762.109613157816514.8903868421835
2366867.67470777510260.325292224897361
2377277.2917841446344-5.29178414463444
2386754.47296088916112.527039110839
2396462.91788698820991.08211301179014
2406351.232434786188811.7675652138112
2415960.7549695638167-1.75496956381672
2428482.04378561287141.95621438712856
2436463.94798599261590.0520140073841434
2445656.527621021977-0.527621021977012
2455461.0319306877336-7.03193068773361
2466763.65191085432373.34808914567633
2475875.3397307050391-17.3397307050391
2485961.0824457619582-2.0824457619582
2494063.5900697782396-23.5900697782396
2502250.5103174110034-28.5103174110034
2518379.85631345460953.14368654539046
2528176.39894736158624.60105263841379
253247.1761633368507-45.1761633368507
2547261.921048628710.0789513712999
2556160.35052613514610.649473864853854
2561545.3746247162365-30.3746247162365
2573253.4450349316936-21.4450349316936
2586268.2050865831316-6.20508658313164
2595856.63177966456741.36822033543257
2603652.894033324318-16.894033324318
2615941.554755228400817.4452447715992
2626873.016786375255-5.01678637525496
2632144.9720190443337-23.9720190443337
2645563.2290145866533-8.2290145866533
2655454.7193488291885-0.719348829188477
2665570.0693857579492-15.0693857579492
2677267.08000107933484.91999892066514
2684164.831578955079-23.831578955079
2696178.3670843876128-17.3670843876128
2706768.7979683945463-1.79796839454627
2717662.868496889982813.1315031100172
2726460.39265655795183.60734344204816
273345.5965051827757-42.5965051827757
2746379.2633636843489-16.2633636843489
2754059.5236155062022-19.5236155062022
2766965.35609216668843.64390783331161
2774847.01267137382350.987328626176508
278845.204934723638-37.204934723638
2795267.376000234438-15.376000234438
2806660.6490077996425.35099220035795
2817663.609943812638212.3900561873618
2824362.7961306920422-19.7961306920422
2833963.3508635492718-24.3508635492718
2841447.0989150524661-33.0989150524661
2856153.7311919968057.26880800319495
2867148.472512793621222.5274872063788
2874451.4095648104202-7.40956481042015
2886062.293166374655-2.293166374655
2896455.13273581552648.86726418447358






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.9649711410055850.07005771798882910.0350288589944146
100.9300509060535520.1398981878928960.0699490939464482
110.9154503113375930.1690993773248140.0845496886624071
120.9279123413493720.1441753173012550.0720876586506277
130.9088746258054340.1822507483891320.091125374194566
140.8622644327264760.2754711345470480.137735567273524
150.8732871440321750.253425711935650.126712855967825
160.8258050734843460.3483898530313070.174194926515654
170.77848280299510.4430343940098010.2215171970049
180.7590370447143590.4819259105712830.240962955285641
190.720336740250790.5593265194984210.279663259749211
200.8098157073398430.3803685853203150.190184292660157
210.7556304586044860.4887390827910280.244369541395514
220.7273212790684350.5453574418631290.272678720931565
230.6787029847347970.6425940305304050.321297015265203
240.6144006168414620.7711987663170760.385599383158538
250.7048911532869650.590217693426070.295108846713035
260.6519557151856640.6960885696286720.348044284814336
270.6000072653190160.7999854693619690.399992734680984
280.5424711836507670.9150576326984660.457528816349233
290.4994122679551950.998824535910390.500587732044805
300.4415066785563940.8830133571127890.558493321443606
310.3961075111875120.7922150223750240.603892488812488
320.343079540803710.6861590816074210.65692045919629
330.639602933462840.7207941330743210.36039706653716
340.6318692969100870.7362614061798250.368130703089913
350.6110090825878120.7779818348243770.388990917412188
360.56198436221730.87603127556540.4380156377827
370.6505061096132690.6989877807734620.349493890386731
380.6235807278078150.7528385443843710.376419272192185
390.585662620045410.828674759909180.41433737995459
400.8629317872573330.2741364254853330.137068212742667
410.8343004882725090.3313990234549820.165699511727491
420.864519455901120.270961088197760.13548054409888
430.8762254395098580.2475491209802840.123774560490142
440.867647083495520.2647058330089610.132352916504481
450.8456300230107220.3087399539785570.154369976989278
460.8540123730080780.2919752539838440.145987626991922
470.8310854048279880.3378291903440240.168914595172012
480.8017179736842150.396564052631570.198282026315785
490.7982197131059140.4035605737881710.201780286894086
500.7679728071849990.4640543856300020.232027192815001
510.7500037392501640.4999925214996710.249996260749836
520.7219315432890240.5561369134219510.278068456710976
530.7366143785475790.5267712429048420.263385621452421
540.7291110439276630.5417779121446740.270888956072337
550.7016312069546770.5967375860906460.298368793045323
560.6653643894692440.6692712210615120.334635610530756
570.755745177396120.4885096452077610.24425482260388
580.7285628494322220.5428743011355560.271437150567778
590.6940716242892260.6118567514215470.305928375710774
600.6987219929672350.602556014065530.301278007032765
610.6609943444353340.6780113111293330.339005655564666
620.6957768077793860.6084463844412280.304223192220614
630.7532091334388910.4935817331222180.246790866561109
640.7287265673927320.5425468652145360.271273432607268
650.7202825384408040.5594349231183920.279717461559196
660.7399597354332470.5200805291335070.260040264566753
670.708733662404630.582532675190740.29126633759537
680.6737782540701450.652443491859710.326221745929855
690.7820538434205450.435892313158910.217946156579455
700.863465756152950.2730684876940990.136534243847049
710.8649967334898240.2700065330203520.135003266510176
720.8493081588908520.3013836822182970.150691841109148
730.8326726145190840.3346547709618330.167327385480916
740.8079881601443740.3840236797112520.192011839855626
750.8134511674614280.3730976650771430.186548832538572
760.8188157336863190.3623685326273630.181184266313681
770.8634319837780160.2731360324439680.136568016221984
780.9176532164873230.1646935670253530.0823467835126767
790.9152214714007760.1695570571984480.084778528599224
800.9514765581321860.09704688373562860.0485234418678143
810.941552871950080.1168942560998410.0584471280499206
820.9341469345238740.1317061309522530.0658530654761264
830.9311935168187060.1376129663625880.0688064831812942
840.9257780815002130.1484438369995750.0742219184997873
850.9194359882394030.1611280235211940.0805640117605972
860.9062836879866280.1874326240267450.0937163120133723
870.9046451816494690.1907096367010630.0953548183505313
880.8900258903145870.2199482193708260.109974109685413
890.8739919918986560.2520160162026890.126008008101344
900.8634888618908770.2730222762182460.136511138109123
910.8915057948154740.2169884103690510.108494205184526
920.943941612609150.1121167747816980.056058387390849
930.9368016942589060.1263966114821890.0631983057410945
940.9269401174997880.1461197650004240.073059882500212
950.9162310756884530.1675378486230940.0837689243115472
960.9138539974489210.1722920051021570.0861460025510785
970.9323763279008730.1352473441982550.0676236720991275
980.9301437217834490.1397125564331020.0698562782165509
990.9220748431174580.1558503137650840.077925156882542
1000.9101681062856460.1796637874287070.0898318937143535
1010.8979532351298980.2040935297402040.102046764870102
1020.8822099552659830.2355800894680330.117790044734017
1030.8644336753161020.2711326493677970.135566324683898
1040.8463155918856550.307368816228690.153684408114345
1050.8327549634002060.3344900731995870.167245036599794
1060.8389427751918440.3221144496163130.161057224808156
1070.9355242282233140.1289515435533720.064475771776686
1080.925763381431720.148473237136560.0742366185682799
1090.9706329265354350.05873414692913050.0293670734645652
1100.9757281768456820.04854364630863670.0242718231543183
1110.9714453767724760.0571092464550470.0285546232275235
1120.9735181619639470.05296367607210610.0264818380360531
1130.970927526519890.0581449469602180.029072473480109
1140.9723723653908460.05525526921830860.0276276346091543
1150.966938995214810.06612200957037960.0330610047851898
1160.9603490468511680.07930190629766450.0396509531488323
1170.9607411932141610.07851761357167770.0392588067858389
1180.9673158876201920.06536822475961520.0326841123798076
1190.9648620140873130.07027597182537460.0351379859126873
1200.9712646339982130.05747073200357420.0287353660017871
1210.9669643154031350.06607136919372950.0330356845968647
1220.9688584546820550.0622830906358890.0311415453179445
1230.9670909992905940.06581800141881160.0329090007094058
1240.966007486620890.06798502675822090.0339925133791105
1250.9596506795280310.08069864094393720.0403493204719686
1260.963994315607270.07201136878545980.0360056843927299
1270.96445457415430.07109085169140220.0355454258457011
1280.957429359278630.08514128144273950.0425706407213697
1290.950264124965430.0994717500691430.0497358750345715
1300.9720632983723960.05587340325520780.0279367016276039
1310.9677621809047720.06447563819045670.0322378190952283
1320.9626421580559880.07471568388802370.0373578419440119
1330.9667789937470450.06644201250590950.0332210062529547
1340.9681837383265540.06363252334689170.0318162616734459
1350.9763732835518670.04725343289626590.023626716448133
1360.9816885254828280.03662294903434390.0183114745171719
1370.988428253700360.023143492599280.01157174629964
1380.9872527652656950.02549446946861010.012747234734305
1390.9846621416103230.03067571677935440.0153378583896772
1400.9854270932005760.02914581359884720.0145729067994236
1410.982322794791690.03535441041662040.0176772052083102
1420.9795132595314620.04097348093707620.0204867404685381
1430.9755966664783360.04880666704332850.0244033335216642
1440.9709796121004110.05804077579917770.0290203878995888
1450.9846648513308180.03067029733836320.0153351486691816
1460.9812333562612050.03753328747759020.0187666437387951
1470.9953244629089440.009351074182111130.00467553709105557
1480.9952349976374230.009530004725153930.00476500236257696
1490.9955835332413370.0088329335173260.004416466758663
1500.9973573254729420.005285349054116710.00264267452705835
1510.9973178527904670.005364294419066710.00268214720953336
1520.9997447970629930.0005104058740142420.000255202937007121
1530.999726097325430.0005478053491406750.000273902674570337
1540.9996262971115110.0007474057769772310.000373702888488615
1550.9994941137194290.001011772561142520.000505886280571258
1560.9993191968002480.001361606399504830.000680803199752416
1570.9993534925697930.00129301486041410.00064650743020705
1580.9993694362244480.001261127551104020.000630563775552012
1590.999640494143110.0007190117137799830.000359505856889991
1600.9995171279996110.00096574400077780.0004828720003889
1610.9993502372469960.001299525506008610.000649762753004305
1620.999846682399640.0003066352007210220.000153317600360511
1630.9998486805846870.0003026388306269090.000151319415313455
1640.9998160293666730.0003679412666544490.000183970633327225
1650.9998320753327940.0003358493344121790.000167924667206089
1660.9997834875556580.0004330248886830560.000216512444341528
1670.9997102340547670.0005795318904667130.000289765945233356
1680.9997895773246010.0004208453507977380.000210422675398869
1690.999724885151020.00055022969796130.00027511484898065
1700.9997966430082790.0004067139834417390.00020335699172087
1710.9997405591233520.0005188817532958380.000259440876647919
1720.9996616754843370.0006766490313249590.00033832451566248
1730.999538448327250.0009231033454984050.000461551672749203
1740.9994152995406620.0011694009186770.000584700459338498
1750.9997515474168940.0004969051662114520.000248452583105726
1760.9997643076066340.0004713847867310760.000235692393365538
1770.9996972330921040.0006055338157926130.000302766907896307
1780.9995935510751460.0008128978497074950.000406448924853747
1790.9996077706007330.0007844587985340410.000392229399267021
1800.9997823216800970.0004353566398053070.000217678319902654
1810.9998633511871370.0002732976257260990.000136648812863049
1820.9998104315429680.0003791369140640230.000189568457032011
1830.9998990749262530.0002018501474937910.000100925073746896
1840.9998886337229030.0002227325541934470.000111366277096723
1850.9998948132240240.0002103735519511830.000105186775975591
1860.9999499180533150.0001001638933696625.00819466848312e-05
1870.9999707076169825.85847660354667e-052.92923830177333e-05
1880.999986816182712.63676345800773e-051.31838172900387e-05
1890.9999814270951453.71458097102169e-051.85729048551084e-05
1900.9999961278148237.7443703535152e-063.8721851767576e-06
1910.9999947342169681.05315660644843e-055.26578303224216e-06
1920.9999920163355351.59673289302291e-057.98366446511456e-06
1930.999994007147861.19857042800299e-055.99285214001497e-06
1940.9999921445313941.57109372117512e-057.85546860587562e-06
1950.9999908747701781.82504596436119e-059.12522982180593e-06
1960.9999919467705951.61064588108927e-058.05322940544636e-06
1970.999991039360541.79212789190097e-058.96063945950484e-06
1980.9999862945822062.74108355885503e-051.37054177942752e-05
1990.9999789777788144.20444423721968e-052.10222211860984e-05
2000.9999687843682326.24312635369722e-053.12156317684861e-05
2010.9999538016080889.23967838243148e-054.61983919121574e-05
2020.999961804638697.63907226218064e-053.81953613109032e-05
2030.9999538449079269.2310184148626e-054.6155092074313e-05
2040.9999305465694280.0001389068611440626.94534305720309e-05
2050.9998970364161240.0002059271677514530.000102963583875726
2060.9999192101300960.0001615797398088338.07898699044164e-05
2070.9998803715635130.0002392568729732170.000119628436486609
2080.9998881947573340.0002236104853313430.000111805242665671
2090.99984075406520.0003184918695976630.000159245934798832
2100.9998257646135950.0003484707728097320.000174235386404866
2110.9999127594580240.0001744810839515158.72405419757573e-05
2120.9998741145418380.0002517709163239540.000125885458161977
2130.9998512544447670.0002974911104668890.000148745555233444
2140.999793757790320.0004124844193594360.000206242209679718
2150.9999171136890280.0001657726219444318.28863109722157e-05
2160.9999709760286645.80479426719153e-052.90239713359577e-05
2170.9999555736402648.88527194714679e-054.44263597357339e-05
2180.9999317585619450.0001364828761094886.82414380547442e-05
2190.9999021037602210.0001957924795573969.7896239778698e-05
2200.9998590193891310.0002819612217380090.000140980610869004
2210.9998579035879460.000284192824108410.000142096412054205
2220.999868832994710.0002623340105787530.000131167005289377
2230.9998321532020770.0003356935958469540.000167846797923477
2240.9998142979800470.0003714040399061950.000185702019953098
2250.9998753747648140.0002492504703709840.000124625235185492
2260.9999734544166555.30911666899274e-052.65455833449637e-05
2270.9999911800550521.7639889896682e-058.81994494834099e-06
2280.9999879857688962.40284622074951e-051.20142311037476e-05
2290.9999916856686951.6628662609844e-058.31433130492202e-06
2300.9999946298209241.07403581515576e-055.37017907577879e-06
2310.9999967691213786.46175724320512e-063.23087862160256e-06
2320.9999953114857039.3770285938659e-064.68851429693296e-06
2330.9999918531282351.62937435300516e-058.1468717650258e-06
2340.9999868820514432.62358971145966e-051.31179485572983e-05
2350.9999835832945483.28334109050848e-051.64167054525424e-05
2360.999978554772534.28904549414203e-052.14452274707102e-05
2370.999963163413397.36731732204322e-053.68365866102161e-05
2380.9999697693095726.0461380856633e-053.02306904283165e-05
2390.999947954185050.0001040916298991665.20458149495832e-05
2400.9999587477811858.25044376307106e-054.12522188153553e-05
2410.99992879325650.0001424134870007817.12067435003904e-05
2420.9998782583258650.0002434833482694320.000121741674134716
2430.999845366811520.0003092663769605040.000154633188480252
2440.999814490027750.0003710199444996320.000185509972249816
2450.9996904926658210.0006190146683581710.000309507334179086
2460.9995510698584120.0008978602831757680.000448930141587884
2470.9995875056137180.0008249887725646340.000412494386282317
2480.9993843305404510.001231338919097180.00061566945954859
2490.9994308409447080.00113831811058390.000569159055291952
2500.9991992129482270.001601574103546750.000800787051773375
2510.999171960353990.00165607929201990.000828039646009952
2520.99866633499250.002667330014999920.00133366500749996
2530.9989105076567960.002178984686408340.00108949234320417
2540.9981988715630190.003602256873962650.00180112843698132
2550.9970591313977820.005881737204435740.00294086860221787
2560.9962754420087930.007449115982414260.00372455799120713
2570.9943340624061560.01133187518768910.00566593759384453
2580.9910850432278780.01782991354424360.0089149567721218
2590.9877122287322820.02457554253543510.0122877712677176
2600.9813868388130520.03722632237389550.0186131611869477
2610.984140418774840.03171916245032050.0158595812251603
2620.9756013108797560.04879737824048730.0243986891202436
2630.9667894023470330.06642119530593330.0332105976529666
2640.9521074977718060.09578500445638860.0478925022281943
2650.9391667522003860.1216664955992290.0608332477996143
2660.9146041868795790.1707916262408420.0853958131204211
2670.9080593157114630.1838813685770740.0919406842885369
2680.8729454239176720.2541091521646560.127054576082328
2690.8444150052179040.3111699895641920.155584994782096
2700.8001214879496050.399757024100790.199878512050395
2710.7560181768115980.4879636463768040.243981823188402
2720.7101998710553180.5796002578893640.289800128944682
2730.9421703533119440.1156592933761110.0578296466880557
2740.9483923088968820.1032153822062360.051607691103118
2750.9360726597774390.1278546804451220.0639273402225612
2760.9144495465314740.1711009069370530.0855504534685264
2770.8495430053965840.3009139892068310.150456994603416
2780.8403261978042190.3193476043915620.159673802195781
2790.7367476468283690.5265047063432620.263252353171631
2800.7717441633642360.4565116732715280.228255836635764

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
9 & 0.964971141005585 & 0.0700577179888291 & 0.0350288589944146 \tabularnewline
10 & 0.930050906053552 & 0.139898187892896 & 0.0699490939464482 \tabularnewline
11 & 0.915450311337593 & 0.169099377324814 & 0.0845496886624071 \tabularnewline
12 & 0.927912341349372 & 0.144175317301255 & 0.0720876586506277 \tabularnewline
13 & 0.908874625805434 & 0.182250748389132 & 0.091125374194566 \tabularnewline
14 & 0.862264432726476 & 0.275471134547048 & 0.137735567273524 \tabularnewline
15 & 0.873287144032175 & 0.25342571193565 & 0.126712855967825 \tabularnewline
16 & 0.825805073484346 & 0.348389853031307 & 0.174194926515654 \tabularnewline
17 & 0.7784828029951 & 0.443034394009801 & 0.2215171970049 \tabularnewline
18 & 0.759037044714359 & 0.481925910571283 & 0.240962955285641 \tabularnewline
19 & 0.72033674025079 & 0.559326519498421 & 0.279663259749211 \tabularnewline
20 & 0.809815707339843 & 0.380368585320315 & 0.190184292660157 \tabularnewline
21 & 0.755630458604486 & 0.488739082791028 & 0.244369541395514 \tabularnewline
22 & 0.727321279068435 & 0.545357441863129 & 0.272678720931565 \tabularnewline
23 & 0.678702984734797 & 0.642594030530405 & 0.321297015265203 \tabularnewline
24 & 0.614400616841462 & 0.771198766317076 & 0.385599383158538 \tabularnewline
25 & 0.704891153286965 & 0.59021769342607 & 0.295108846713035 \tabularnewline
26 & 0.651955715185664 & 0.696088569628672 & 0.348044284814336 \tabularnewline
27 & 0.600007265319016 & 0.799985469361969 & 0.399992734680984 \tabularnewline
28 & 0.542471183650767 & 0.915057632698466 & 0.457528816349233 \tabularnewline
29 & 0.499412267955195 & 0.99882453591039 & 0.500587732044805 \tabularnewline
30 & 0.441506678556394 & 0.883013357112789 & 0.558493321443606 \tabularnewline
31 & 0.396107511187512 & 0.792215022375024 & 0.603892488812488 \tabularnewline
32 & 0.34307954080371 & 0.686159081607421 & 0.65692045919629 \tabularnewline
33 & 0.63960293346284 & 0.720794133074321 & 0.36039706653716 \tabularnewline
34 & 0.631869296910087 & 0.736261406179825 & 0.368130703089913 \tabularnewline
35 & 0.611009082587812 & 0.777981834824377 & 0.388990917412188 \tabularnewline
36 & 0.5619843622173 & 0.8760312755654 & 0.4380156377827 \tabularnewline
37 & 0.650506109613269 & 0.698987780773462 & 0.349493890386731 \tabularnewline
38 & 0.623580727807815 & 0.752838544384371 & 0.376419272192185 \tabularnewline
39 & 0.58566262004541 & 0.82867475990918 & 0.41433737995459 \tabularnewline
40 & 0.862931787257333 & 0.274136425485333 & 0.137068212742667 \tabularnewline
41 & 0.834300488272509 & 0.331399023454982 & 0.165699511727491 \tabularnewline
42 & 0.86451945590112 & 0.27096108819776 & 0.13548054409888 \tabularnewline
43 & 0.876225439509858 & 0.247549120980284 & 0.123774560490142 \tabularnewline
44 & 0.86764708349552 & 0.264705833008961 & 0.132352916504481 \tabularnewline
45 & 0.845630023010722 & 0.308739953978557 & 0.154369976989278 \tabularnewline
46 & 0.854012373008078 & 0.291975253983844 & 0.145987626991922 \tabularnewline
47 & 0.831085404827988 & 0.337829190344024 & 0.168914595172012 \tabularnewline
48 & 0.801717973684215 & 0.39656405263157 & 0.198282026315785 \tabularnewline
49 & 0.798219713105914 & 0.403560573788171 & 0.201780286894086 \tabularnewline
50 & 0.767972807184999 & 0.464054385630002 & 0.232027192815001 \tabularnewline
51 & 0.750003739250164 & 0.499992521499671 & 0.249996260749836 \tabularnewline
52 & 0.721931543289024 & 0.556136913421951 & 0.278068456710976 \tabularnewline
53 & 0.736614378547579 & 0.526771242904842 & 0.263385621452421 \tabularnewline
54 & 0.729111043927663 & 0.541777912144674 & 0.270888956072337 \tabularnewline
55 & 0.701631206954677 & 0.596737586090646 & 0.298368793045323 \tabularnewline
56 & 0.665364389469244 & 0.669271221061512 & 0.334635610530756 \tabularnewline
57 & 0.75574517739612 & 0.488509645207761 & 0.24425482260388 \tabularnewline
58 & 0.728562849432222 & 0.542874301135556 & 0.271437150567778 \tabularnewline
59 & 0.694071624289226 & 0.611856751421547 & 0.305928375710774 \tabularnewline
60 & 0.698721992967235 & 0.60255601406553 & 0.301278007032765 \tabularnewline
61 & 0.660994344435334 & 0.678011311129333 & 0.339005655564666 \tabularnewline
62 & 0.695776807779386 & 0.608446384441228 & 0.304223192220614 \tabularnewline
63 & 0.753209133438891 & 0.493581733122218 & 0.246790866561109 \tabularnewline
64 & 0.728726567392732 & 0.542546865214536 & 0.271273432607268 \tabularnewline
65 & 0.720282538440804 & 0.559434923118392 & 0.279717461559196 \tabularnewline
66 & 0.739959735433247 & 0.520080529133507 & 0.260040264566753 \tabularnewline
67 & 0.70873366240463 & 0.58253267519074 & 0.29126633759537 \tabularnewline
68 & 0.673778254070145 & 0.65244349185971 & 0.326221745929855 \tabularnewline
69 & 0.782053843420545 & 0.43589231315891 & 0.217946156579455 \tabularnewline
70 & 0.86346575615295 & 0.273068487694099 & 0.136534243847049 \tabularnewline
71 & 0.864996733489824 & 0.270006533020352 & 0.135003266510176 \tabularnewline
72 & 0.849308158890852 & 0.301383682218297 & 0.150691841109148 \tabularnewline
73 & 0.832672614519084 & 0.334654770961833 & 0.167327385480916 \tabularnewline
74 & 0.807988160144374 & 0.384023679711252 & 0.192011839855626 \tabularnewline
75 & 0.813451167461428 & 0.373097665077143 & 0.186548832538572 \tabularnewline
76 & 0.818815733686319 & 0.362368532627363 & 0.181184266313681 \tabularnewline
77 & 0.863431983778016 & 0.273136032443968 & 0.136568016221984 \tabularnewline
78 & 0.917653216487323 & 0.164693567025353 & 0.0823467835126767 \tabularnewline
79 & 0.915221471400776 & 0.169557057198448 & 0.084778528599224 \tabularnewline
80 & 0.951476558132186 & 0.0970468837356286 & 0.0485234418678143 \tabularnewline
81 & 0.94155287195008 & 0.116894256099841 & 0.0584471280499206 \tabularnewline
82 & 0.934146934523874 & 0.131706130952253 & 0.0658530654761264 \tabularnewline
83 & 0.931193516818706 & 0.137612966362588 & 0.0688064831812942 \tabularnewline
84 & 0.925778081500213 & 0.148443836999575 & 0.0742219184997873 \tabularnewline
85 & 0.919435988239403 & 0.161128023521194 & 0.0805640117605972 \tabularnewline
86 & 0.906283687986628 & 0.187432624026745 & 0.0937163120133723 \tabularnewline
87 & 0.904645181649469 & 0.190709636701063 & 0.0953548183505313 \tabularnewline
88 & 0.890025890314587 & 0.219948219370826 & 0.109974109685413 \tabularnewline
89 & 0.873991991898656 & 0.252016016202689 & 0.126008008101344 \tabularnewline
90 & 0.863488861890877 & 0.273022276218246 & 0.136511138109123 \tabularnewline
91 & 0.891505794815474 & 0.216988410369051 & 0.108494205184526 \tabularnewline
92 & 0.94394161260915 & 0.112116774781698 & 0.056058387390849 \tabularnewline
93 & 0.936801694258906 & 0.126396611482189 & 0.0631983057410945 \tabularnewline
94 & 0.926940117499788 & 0.146119765000424 & 0.073059882500212 \tabularnewline
95 & 0.916231075688453 & 0.167537848623094 & 0.0837689243115472 \tabularnewline
96 & 0.913853997448921 & 0.172292005102157 & 0.0861460025510785 \tabularnewline
97 & 0.932376327900873 & 0.135247344198255 & 0.0676236720991275 \tabularnewline
98 & 0.930143721783449 & 0.139712556433102 & 0.0698562782165509 \tabularnewline
99 & 0.922074843117458 & 0.155850313765084 & 0.077925156882542 \tabularnewline
100 & 0.910168106285646 & 0.179663787428707 & 0.0898318937143535 \tabularnewline
101 & 0.897953235129898 & 0.204093529740204 & 0.102046764870102 \tabularnewline
102 & 0.882209955265983 & 0.235580089468033 & 0.117790044734017 \tabularnewline
103 & 0.864433675316102 & 0.271132649367797 & 0.135566324683898 \tabularnewline
104 & 0.846315591885655 & 0.30736881622869 & 0.153684408114345 \tabularnewline
105 & 0.832754963400206 & 0.334490073199587 & 0.167245036599794 \tabularnewline
106 & 0.838942775191844 & 0.322114449616313 & 0.161057224808156 \tabularnewline
107 & 0.935524228223314 & 0.128951543553372 & 0.064475771776686 \tabularnewline
108 & 0.92576338143172 & 0.14847323713656 & 0.0742366185682799 \tabularnewline
109 & 0.970632926535435 & 0.0587341469291305 & 0.0293670734645652 \tabularnewline
110 & 0.975728176845682 & 0.0485436463086367 & 0.0242718231543183 \tabularnewline
111 & 0.971445376772476 & 0.057109246455047 & 0.0285546232275235 \tabularnewline
112 & 0.973518161963947 & 0.0529636760721061 & 0.0264818380360531 \tabularnewline
113 & 0.97092752651989 & 0.058144946960218 & 0.029072473480109 \tabularnewline
114 & 0.972372365390846 & 0.0552552692183086 & 0.0276276346091543 \tabularnewline
115 & 0.96693899521481 & 0.0661220095703796 & 0.0330610047851898 \tabularnewline
116 & 0.960349046851168 & 0.0793019062976645 & 0.0396509531488323 \tabularnewline
117 & 0.960741193214161 & 0.0785176135716777 & 0.0392588067858389 \tabularnewline
118 & 0.967315887620192 & 0.0653682247596152 & 0.0326841123798076 \tabularnewline
119 & 0.964862014087313 & 0.0702759718253746 & 0.0351379859126873 \tabularnewline
120 & 0.971264633998213 & 0.0574707320035742 & 0.0287353660017871 \tabularnewline
121 & 0.966964315403135 & 0.0660713691937295 & 0.0330356845968647 \tabularnewline
122 & 0.968858454682055 & 0.062283090635889 & 0.0311415453179445 \tabularnewline
123 & 0.967090999290594 & 0.0658180014188116 & 0.0329090007094058 \tabularnewline
124 & 0.96600748662089 & 0.0679850267582209 & 0.0339925133791105 \tabularnewline
125 & 0.959650679528031 & 0.0806986409439372 & 0.0403493204719686 \tabularnewline
126 & 0.96399431560727 & 0.0720113687854598 & 0.0360056843927299 \tabularnewline
127 & 0.9644545741543 & 0.0710908516914022 & 0.0355454258457011 \tabularnewline
128 & 0.95742935927863 & 0.0851412814427395 & 0.0425706407213697 \tabularnewline
129 & 0.95026412496543 & 0.099471750069143 & 0.0497358750345715 \tabularnewline
130 & 0.972063298372396 & 0.0558734032552078 & 0.0279367016276039 \tabularnewline
131 & 0.967762180904772 & 0.0644756381904567 & 0.0322378190952283 \tabularnewline
132 & 0.962642158055988 & 0.0747156838880237 & 0.0373578419440119 \tabularnewline
133 & 0.966778993747045 & 0.0664420125059095 & 0.0332210062529547 \tabularnewline
134 & 0.968183738326554 & 0.0636325233468917 & 0.0318162616734459 \tabularnewline
135 & 0.976373283551867 & 0.0472534328962659 & 0.023626716448133 \tabularnewline
136 & 0.981688525482828 & 0.0366229490343439 & 0.0183114745171719 \tabularnewline
137 & 0.98842825370036 & 0.02314349259928 & 0.01157174629964 \tabularnewline
138 & 0.987252765265695 & 0.0254944694686101 & 0.012747234734305 \tabularnewline
139 & 0.984662141610323 & 0.0306757167793544 & 0.0153378583896772 \tabularnewline
140 & 0.985427093200576 & 0.0291458135988472 & 0.0145729067994236 \tabularnewline
141 & 0.98232279479169 & 0.0353544104166204 & 0.0176772052083102 \tabularnewline
142 & 0.979513259531462 & 0.0409734809370762 & 0.0204867404685381 \tabularnewline
143 & 0.975596666478336 & 0.0488066670433285 & 0.0244033335216642 \tabularnewline
144 & 0.970979612100411 & 0.0580407757991777 & 0.0290203878995888 \tabularnewline
145 & 0.984664851330818 & 0.0306702973383632 & 0.0153351486691816 \tabularnewline
146 & 0.981233356261205 & 0.0375332874775902 & 0.0187666437387951 \tabularnewline
147 & 0.995324462908944 & 0.00935107418211113 & 0.00467553709105557 \tabularnewline
148 & 0.995234997637423 & 0.00953000472515393 & 0.00476500236257696 \tabularnewline
149 & 0.995583533241337 & 0.008832933517326 & 0.004416466758663 \tabularnewline
150 & 0.997357325472942 & 0.00528534905411671 & 0.00264267452705835 \tabularnewline
151 & 0.997317852790467 & 0.00536429441906671 & 0.00268214720953336 \tabularnewline
152 & 0.999744797062993 & 0.000510405874014242 & 0.000255202937007121 \tabularnewline
153 & 0.99972609732543 & 0.000547805349140675 & 0.000273902674570337 \tabularnewline
154 & 0.999626297111511 & 0.000747405776977231 & 0.000373702888488615 \tabularnewline
155 & 0.999494113719429 & 0.00101177256114252 & 0.000505886280571258 \tabularnewline
156 & 0.999319196800248 & 0.00136160639950483 & 0.000680803199752416 \tabularnewline
157 & 0.999353492569793 & 0.0012930148604141 & 0.00064650743020705 \tabularnewline
158 & 0.999369436224448 & 0.00126112755110402 & 0.000630563775552012 \tabularnewline
159 & 0.99964049414311 & 0.000719011713779983 & 0.000359505856889991 \tabularnewline
160 & 0.999517127999611 & 0.0009657440007778 & 0.0004828720003889 \tabularnewline
161 & 0.999350237246996 & 0.00129952550600861 & 0.000649762753004305 \tabularnewline
162 & 0.99984668239964 & 0.000306635200721022 & 0.000153317600360511 \tabularnewline
163 & 0.999848680584687 & 0.000302638830626909 & 0.000151319415313455 \tabularnewline
164 & 0.999816029366673 & 0.000367941266654449 & 0.000183970633327225 \tabularnewline
165 & 0.999832075332794 & 0.000335849334412179 & 0.000167924667206089 \tabularnewline
166 & 0.999783487555658 & 0.000433024888683056 & 0.000216512444341528 \tabularnewline
167 & 0.999710234054767 & 0.000579531890466713 & 0.000289765945233356 \tabularnewline
168 & 0.999789577324601 & 0.000420845350797738 & 0.000210422675398869 \tabularnewline
169 & 0.99972488515102 & 0.0005502296979613 & 0.00027511484898065 \tabularnewline
170 & 0.999796643008279 & 0.000406713983441739 & 0.00020335699172087 \tabularnewline
171 & 0.999740559123352 & 0.000518881753295838 & 0.000259440876647919 \tabularnewline
172 & 0.999661675484337 & 0.000676649031324959 & 0.00033832451566248 \tabularnewline
173 & 0.99953844832725 & 0.000923103345498405 & 0.000461551672749203 \tabularnewline
174 & 0.999415299540662 & 0.001169400918677 & 0.000584700459338498 \tabularnewline
175 & 0.999751547416894 & 0.000496905166211452 & 0.000248452583105726 \tabularnewline
176 & 0.999764307606634 & 0.000471384786731076 & 0.000235692393365538 \tabularnewline
177 & 0.999697233092104 & 0.000605533815792613 & 0.000302766907896307 \tabularnewline
178 & 0.999593551075146 & 0.000812897849707495 & 0.000406448924853747 \tabularnewline
179 & 0.999607770600733 & 0.000784458798534041 & 0.000392229399267021 \tabularnewline
180 & 0.999782321680097 & 0.000435356639805307 & 0.000217678319902654 \tabularnewline
181 & 0.999863351187137 & 0.000273297625726099 & 0.000136648812863049 \tabularnewline
182 & 0.999810431542968 & 0.000379136914064023 & 0.000189568457032011 \tabularnewline
183 & 0.999899074926253 & 0.000201850147493791 & 0.000100925073746896 \tabularnewline
184 & 0.999888633722903 & 0.000222732554193447 & 0.000111366277096723 \tabularnewline
185 & 0.999894813224024 & 0.000210373551951183 & 0.000105186775975591 \tabularnewline
186 & 0.999949918053315 & 0.000100163893369662 & 5.00819466848312e-05 \tabularnewline
187 & 0.999970707616982 & 5.85847660354667e-05 & 2.92923830177333e-05 \tabularnewline
188 & 0.99998681618271 & 2.63676345800773e-05 & 1.31838172900387e-05 \tabularnewline
189 & 0.999981427095145 & 3.71458097102169e-05 & 1.85729048551084e-05 \tabularnewline
190 & 0.999996127814823 & 7.7443703535152e-06 & 3.8721851767576e-06 \tabularnewline
191 & 0.999994734216968 & 1.05315660644843e-05 & 5.26578303224216e-06 \tabularnewline
192 & 0.999992016335535 & 1.59673289302291e-05 & 7.98366446511456e-06 \tabularnewline
193 & 0.99999400714786 & 1.19857042800299e-05 & 5.99285214001497e-06 \tabularnewline
194 & 0.999992144531394 & 1.57109372117512e-05 & 7.85546860587562e-06 \tabularnewline
195 & 0.999990874770178 & 1.82504596436119e-05 & 9.12522982180593e-06 \tabularnewline
196 & 0.999991946770595 & 1.61064588108927e-05 & 8.05322940544636e-06 \tabularnewline
197 & 0.99999103936054 & 1.79212789190097e-05 & 8.96063945950484e-06 \tabularnewline
198 & 0.999986294582206 & 2.74108355885503e-05 & 1.37054177942752e-05 \tabularnewline
199 & 0.999978977778814 & 4.20444423721968e-05 & 2.10222211860984e-05 \tabularnewline
200 & 0.999968784368232 & 6.24312635369722e-05 & 3.12156317684861e-05 \tabularnewline
201 & 0.999953801608088 & 9.23967838243148e-05 & 4.61983919121574e-05 \tabularnewline
202 & 0.99996180463869 & 7.63907226218064e-05 & 3.81953613109032e-05 \tabularnewline
203 & 0.999953844907926 & 9.2310184148626e-05 & 4.6155092074313e-05 \tabularnewline
204 & 0.999930546569428 & 0.000138906861144062 & 6.94534305720309e-05 \tabularnewline
205 & 0.999897036416124 & 0.000205927167751453 & 0.000102963583875726 \tabularnewline
206 & 0.999919210130096 & 0.000161579739808833 & 8.07898699044164e-05 \tabularnewline
207 & 0.999880371563513 & 0.000239256872973217 & 0.000119628436486609 \tabularnewline
208 & 0.999888194757334 & 0.000223610485331343 & 0.000111805242665671 \tabularnewline
209 & 0.9998407540652 & 0.000318491869597663 & 0.000159245934798832 \tabularnewline
210 & 0.999825764613595 & 0.000348470772809732 & 0.000174235386404866 \tabularnewline
211 & 0.999912759458024 & 0.000174481083951515 & 8.72405419757573e-05 \tabularnewline
212 & 0.999874114541838 & 0.000251770916323954 & 0.000125885458161977 \tabularnewline
213 & 0.999851254444767 & 0.000297491110466889 & 0.000148745555233444 \tabularnewline
214 & 0.99979375779032 & 0.000412484419359436 & 0.000206242209679718 \tabularnewline
215 & 0.999917113689028 & 0.000165772621944431 & 8.28863109722157e-05 \tabularnewline
216 & 0.999970976028664 & 5.80479426719153e-05 & 2.90239713359577e-05 \tabularnewline
217 & 0.999955573640264 & 8.88527194714679e-05 & 4.44263597357339e-05 \tabularnewline
218 & 0.999931758561945 & 0.000136482876109488 & 6.82414380547442e-05 \tabularnewline
219 & 0.999902103760221 & 0.000195792479557396 & 9.7896239778698e-05 \tabularnewline
220 & 0.999859019389131 & 0.000281961221738009 & 0.000140980610869004 \tabularnewline
221 & 0.999857903587946 & 0.00028419282410841 & 0.000142096412054205 \tabularnewline
222 & 0.99986883299471 & 0.000262334010578753 & 0.000131167005289377 \tabularnewline
223 & 0.999832153202077 & 0.000335693595846954 & 0.000167846797923477 \tabularnewline
224 & 0.999814297980047 & 0.000371404039906195 & 0.000185702019953098 \tabularnewline
225 & 0.999875374764814 & 0.000249250470370984 & 0.000124625235185492 \tabularnewline
226 & 0.999973454416655 & 5.30911666899274e-05 & 2.65455833449637e-05 \tabularnewline
227 & 0.999991180055052 & 1.7639889896682e-05 & 8.81994494834099e-06 \tabularnewline
228 & 0.999987985768896 & 2.40284622074951e-05 & 1.20142311037476e-05 \tabularnewline
229 & 0.999991685668695 & 1.6628662609844e-05 & 8.31433130492202e-06 \tabularnewline
230 & 0.999994629820924 & 1.07403581515576e-05 & 5.37017907577879e-06 \tabularnewline
231 & 0.999996769121378 & 6.46175724320512e-06 & 3.23087862160256e-06 \tabularnewline
232 & 0.999995311485703 & 9.3770285938659e-06 & 4.68851429693296e-06 \tabularnewline
233 & 0.999991853128235 & 1.62937435300516e-05 & 8.1468717650258e-06 \tabularnewline
234 & 0.999986882051443 & 2.62358971145966e-05 & 1.31179485572983e-05 \tabularnewline
235 & 0.999983583294548 & 3.28334109050848e-05 & 1.64167054525424e-05 \tabularnewline
236 & 0.99997855477253 & 4.28904549414203e-05 & 2.14452274707102e-05 \tabularnewline
237 & 0.99996316341339 & 7.36731732204322e-05 & 3.68365866102161e-05 \tabularnewline
238 & 0.999969769309572 & 6.0461380856633e-05 & 3.02306904283165e-05 \tabularnewline
239 & 0.99994795418505 & 0.000104091629899166 & 5.20458149495832e-05 \tabularnewline
240 & 0.999958747781185 & 8.25044376307106e-05 & 4.12522188153553e-05 \tabularnewline
241 & 0.9999287932565 & 0.000142413487000781 & 7.12067435003904e-05 \tabularnewline
242 & 0.999878258325865 & 0.000243483348269432 & 0.000121741674134716 \tabularnewline
243 & 0.99984536681152 & 0.000309266376960504 & 0.000154633188480252 \tabularnewline
244 & 0.99981449002775 & 0.000371019944499632 & 0.000185509972249816 \tabularnewline
245 & 0.999690492665821 & 0.000619014668358171 & 0.000309507334179086 \tabularnewline
246 & 0.999551069858412 & 0.000897860283175768 & 0.000448930141587884 \tabularnewline
247 & 0.999587505613718 & 0.000824988772564634 & 0.000412494386282317 \tabularnewline
248 & 0.999384330540451 & 0.00123133891909718 & 0.00061566945954859 \tabularnewline
249 & 0.999430840944708 & 0.0011383181105839 & 0.000569159055291952 \tabularnewline
250 & 0.999199212948227 & 0.00160157410354675 & 0.000800787051773375 \tabularnewline
251 & 0.99917196035399 & 0.0016560792920199 & 0.000828039646009952 \tabularnewline
252 & 0.9986663349925 & 0.00266733001499992 & 0.00133366500749996 \tabularnewline
253 & 0.998910507656796 & 0.00217898468640834 & 0.00108949234320417 \tabularnewline
254 & 0.998198871563019 & 0.00360225687396265 & 0.00180112843698132 \tabularnewline
255 & 0.997059131397782 & 0.00588173720443574 & 0.00294086860221787 \tabularnewline
256 & 0.996275442008793 & 0.00744911598241426 & 0.00372455799120713 \tabularnewline
257 & 0.994334062406156 & 0.0113318751876891 & 0.00566593759384453 \tabularnewline
258 & 0.991085043227878 & 0.0178299135442436 & 0.0089149567721218 \tabularnewline
259 & 0.987712228732282 & 0.0245755425354351 & 0.0122877712677176 \tabularnewline
260 & 0.981386838813052 & 0.0372263223738955 & 0.0186131611869477 \tabularnewline
261 & 0.98414041877484 & 0.0317191624503205 & 0.0158595812251603 \tabularnewline
262 & 0.975601310879756 & 0.0487973782404873 & 0.0243986891202436 \tabularnewline
263 & 0.966789402347033 & 0.0664211953059333 & 0.0332105976529666 \tabularnewline
264 & 0.952107497771806 & 0.0957850044563886 & 0.0478925022281943 \tabularnewline
265 & 0.939166752200386 & 0.121666495599229 & 0.0608332477996143 \tabularnewline
266 & 0.914604186879579 & 0.170791626240842 & 0.0853958131204211 \tabularnewline
267 & 0.908059315711463 & 0.183881368577074 & 0.0919406842885369 \tabularnewline
268 & 0.872945423917672 & 0.254109152164656 & 0.127054576082328 \tabularnewline
269 & 0.844415005217904 & 0.311169989564192 & 0.155584994782096 \tabularnewline
270 & 0.800121487949605 & 0.39975702410079 & 0.199878512050395 \tabularnewline
271 & 0.756018176811598 & 0.487963646376804 & 0.243981823188402 \tabularnewline
272 & 0.710199871055318 & 0.579600257889364 & 0.289800128944682 \tabularnewline
273 & 0.942170353311944 & 0.115659293376111 & 0.0578296466880557 \tabularnewline
274 & 0.948392308896882 & 0.103215382206236 & 0.051607691103118 \tabularnewline
275 & 0.936072659777439 & 0.127854680445122 & 0.0639273402225612 \tabularnewline
276 & 0.914449546531474 & 0.171100906937053 & 0.0855504534685264 \tabularnewline
277 & 0.849543005396584 & 0.300913989206831 & 0.150456994603416 \tabularnewline
278 & 0.840326197804219 & 0.319347604391562 & 0.159673802195781 \tabularnewline
279 & 0.736747646828369 & 0.526504706343262 & 0.263252353171631 \tabularnewline
280 & 0.771744163364236 & 0.456511673271528 & 0.228255836635764 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157471&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]0.964971141005585[/C][C]0.0700577179888291[/C][C]0.0350288589944146[/C][/ROW]
[ROW][C]10[/C][C]0.930050906053552[/C][C]0.139898187892896[/C][C]0.0699490939464482[/C][/ROW]
[ROW][C]11[/C][C]0.915450311337593[/C][C]0.169099377324814[/C][C]0.0845496886624071[/C][/ROW]
[ROW][C]12[/C][C]0.927912341349372[/C][C]0.144175317301255[/C][C]0.0720876586506277[/C][/ROW]
[ROW][C]13[/C][C]0.908874625805434[/C][C]0.182250748389132[/C][C]0.091125374194566[/C][/ROW]
[ROW][C]14[/C][C]0.862264432726476[/C][C]0.275471134547048[/C][C]0.137735567273524[/C][/ROW]
[ROW][C]15[/C][C]0.873287144032175[/C][C]0.25342571193565[/C][C]0.126712855967825[/C][/ROW]
[ROW][C]16[/C][C]0.825805073484346[/C][C]0.348389853031307[/C][C]0.174194926515654[/C][/ROW]
[ROW][C]17[/C][C]0.7784828029951[/C][C]0.443034394009801[/C][C]0.2215171970049[/C][/ROW]
[ROW][C]18[/C][C]0.759037044714359[/C][C]0.481925910571283[/C][C]0.240962955285641[/C][/ROW]
[ROW][C]19[/C][C]0.72033674025079[/C][C]0.559326519498421[/C][C]0.279663259749211[/C][/ROW]
[ROW][C]20[/C][C]0.809815707339843[/C][C]0.380368585320315[/C][C]0.190184292660157[/C][/ROW]
[ROW][C]21[/C][C]0.755630458604486[/C][C]0.488739082791028[/C][C]0.244369541395514[/C][/ROW]
[ROW][C]22[/C][C]0.727321279068435[/C][C]0.545357441863129[/C][C]0.272678720931565[/C][/ROW]
[ROW][C]23[/C][C]0.678702984734797[/C][C]0.642594030530405[/C][C]0.321297015265203[/C][/ROW]
[ROW][C]24[/C][C]0.614400616841462[/C][C]0.771198766317076[/C][C]0.385599383158538[/C][/ROW]
[ROW][C]25[/C][C]0.704891153286965[/C][C]0.59021769342607[/C][C]0.295108846713035[/C][/ROW]
[ROW][C]26[/C][C]0.651955715185664[/C][C]0.696088569628672[/C][C]0.348044284814336[/C][/ROW]
[ROW][C]27[/C][C]0.600007265319016[/C][C]0.799985469361969[/C][C]0.399992734680984[/C][/ROW]
[ROW][C]28[/C][C]0.542471183650767[/C][C]0.915057632698466[/C][C]0.457528816349233[/C][/ROW]
[ROW][C]29[/C][C]0.499412267955195[/C][C]0.99882453591039[/C][C]0.500587732044805[/C][/ROW]
[ROW][C]30[/C][C]0.441506678556394[/C][C]0.883013357112789[/C][C]0.558493321443606[/C][/ROW]
[ROW][C]31[/C][C]0.396107511187512[/C][C]0.792215022375024[/C][C]0.603892488812488[/C][/ROW]
[ROW][C]32[/C][C]0.34307954080371[/C][C]0.686159081607421[/C][C]0.65692045919629[/C][/ROW]
[ROW][C]33[/C][C]0.63960293346284[/C][C]0.720794133074321[/C][C]0.36039706653716[/C][/ROW]
[ROW][C]34[/C][C]0.631869296910087[/C][C]0.736261406179825[/C][C]0.368130703089913[/C][/ROW]
[ROW][C]35[/C][C]0.611009082587812[/C][C]0.777981834824377[/C][C]0.388990917412188[/C][/ROW]
[ROW][C]36[/C][C]0.5619843622173[/C][C]0.8760312755654[/C][C]0.4380156377827[/C][/ROW]
[ROW][C]37[/C][C]0.650506109613269[/C][C]0.698987780773462[/C][C]0.349493890386731[/C][/ROW]
[ROW][C]38[/C][C]0.623580727807815[/C][C]0.752838544384371[/C][C]0.376419272192185[/C][/ROW]
[ROW][C]39[/C][C]0.58566262004541[/C][C]0.82867475990918[/C][C]0.41433737995459[/C][/ROW]
[ROW][C]40[/C][C]0.862931787257333[/C][C]0.274136425485333[/C][C]0.137068212742667[/C][/ROW]
[ROW][C]41[/C][C]0.834300488272509[/C][C]0.331399023454982[/C][C]0.165699511727491[/C][/ROW]
[ROW][C]42[/C][C]0.86451945590112[/C][C]0.27096108819776[/C][C]0.13548054409888[/C][/ROW]
[ROW][C]43[/C][C]0.876225439509858[/C][C]0.247549120980284[/C][C]0.123774560490142[/C][/ROW]
[ROW][C]44[/C][C]0.86764708349552[/C][C]0.264705833008961[/C][C]0.132352916504481[/C][/ROW]
[ROW][C]45[/C][C]0.845630023010722[/C][C]0.308739953978557[/C][C]0.154369976989278[/C][/ROW]
[ROW][C]46[/C][C]0.854012373008078[/C][C]0.291975253983844[/C][C]0.145987626991922[/C][/ROW]
[ROW][C]47[/C][C]0.831085404827988[/C][C]0.337829190344024[/C][C]0.168914595172012[/C][/ROW]
[ROW][C]48[/C][C]0.801717973684215[/C][C]0.39656405263157[/C][C]0.198282026315785[/C][/ROW]
[ROW][C]49[/C][C]0.798219713105914[/C][C]0.403560573788171[/C][C]0.201780286894086[/C][/ROW]
[ROW][C]50[/C][C]0.767972807184999[/C][C]0.464054385630002[/C][C]0.232027192815001[/C][/ROW]
[ROW][C]51[/C][C]0.750003739250164[/C][C]0.499992521499671[/C][C]0.249996260749836[/C][/ROW]
[ROW][C]52[/C][C]0.721931543289024[/C][C]0.556136913421951[/C][C]0.278068456710976[/C][/ROW]
[ROW][C]53[/C][C]0.736614378547579[/C][C]0.526771242904842[/C][C]0.263385621452421[/C][/ROW]
[ROW][C]54[/C][C]0.729111043927663[/C][C]0.541777912144674[/C][C]0.270888956072337[/C][/ROW]
[ROW][C]55[/C][C]0.701631206954677[/C][C]0.596737586090646[/C][C]0.298368793045323[/C][/ROW]
[ROW][C]56[/C][C]0.665364389469244[/C][C]0.669271221061512[/C][C]0.334635610530756[/C][/ROW]
[ROW][C]57[/C][C]0.75574517739612[/C][C]0.488509645207761[/C][C]0.24425482260388[/C][/ROW]
[ROW][C]58[/C][C]0.728562849432222[/C][C]0.542874301135556[/C][C]0.271437150567778[/C][/ROW]
[ROW][C]59[/C][C]0.694071624289226[/C][C]0.611856751421547[/C][C]0.305928375710774[/C][/ROW]
[ROW][C]60[/C][C]0.698721992967235[/C][C]0.60255601406553[/C][C]0.301278007032765[/C][/ROW]
[ROW][C]61[/C][C]0.660994344435334[/C][C]0.678011311129333[/C][C]0.339005655564666[/C][/ROW]
[ROW][C]62[/C][C]0.695776807779386[/C][C]0.608446384441228[/C][C]0.304223192220614[/C][/ROW]
[ROW][C]63[/C][C]0.753209133438891[/C][C]0.493581733122218[/C][C]0.246790866561109[/C][/ROW]
[ROW][C]64[/C][C]0.728726567392732[/C][C]0.542546865214536[/C][C]0.271273432607268[/C][/ROW]
[ROW][C]65[/C][C]0.720282538440804[/C][C]0.559434923118392[/C][C]0.279717461559196[/C][/ROW]
[ROW][C]66[/C][C]0.739959735433247[/C][C]0.520080529133507[/C][C]0.260040264566753[/C][/ROW]
[ROW][C]67[/C][C]0.70873366240463[/C][C]0.58253267519074[/C][C]0.29126633759537[/C][/ROW]
[ROW][C]68[/C][C]0.673778254070145[/C][C]0.65244349185971[/C][C]0.326221745929855[/C][/ROW]
[ROW][C]69[/C][C]0.782053843420545[/C][C]0.43589231315891[/C][C]0.217946156579455[/C][/ROW]
[ROW][C]70[/C][C]0.86346575615295[/C][C]0.273068487694099[/C][C]0.136534243847049[/C][/ROW]
[ROW][C]71[/C][C]0.864996733489824[/C][C]0.270006533020352[/C][C]0.135003266510176[/C][/ROW]
[ROW][C]72[/C][C]0.849308158890852[/C][C]0.301383682218297[/C][C]0.150691841109148[/C][/ROW]
[ROW][C]73[/C][C]0.832672614519084[/C][C]0.334654770961833[/C][C]0.167327385480916[/C][/ROW]
[ROW][C]74[/C][C]0.807988160144374[/C][C]0.384023679711252[/C][C]0.192011839855626[/C][/ROW]
[ROW][C]75[/C][C]0.813451167461428[/C][C]0.373097665077143[/C][C]0.186548832538572[/C][/ROW]
[ROW][C]76[/C][C]0.818815733686319[/C][C]0.362368532627363[/C][C]0.181184266313681[/C][/ROW]
[ROW][C]77[/C][C]0.863431983778016[/C][C]0.273136032443968[/C][C]0.136568016221984[/C][/ROW]
[ROW][C]78[/C][C]0.917653216487323[/C][C]0.164693567025353[/C][C]0.0823467835126767[/C][/ROW]
[ROW][C]79[/C][C]0.915221471400776[/C][C]0.169557057198448[/C][C]0.084778528599224[/C][/ROW]
[ROW][C]80[/C][C]0.951476558132186[/C][C]0.0970468837356286[/C][C]0.0485234418678143[/C][/ROW]
[ROW][C]81[/C][C]0.94155287195008[/C][C]0.116894256099841[/C][C]0.0584471280499206[/C][/ROW]
[ROW][C]82[/C][C]0.934146934523874[/C][C]0.131706130952253[/C][C]0.0658530654761264[/C][/ROW]
[ROW][C]83[/C][C]0.931193516818706[/C][C]0.137612966362588[/C][C]0.0688064831812942[/C][/ROW]
[ROW][C]84[/C][C]0.925778081500213[/C][C]0.148443836999575[/C][C]0.0742219184997873[/C][/ROW]
[ROW][C]85[/C][C]0.919435988239403[/C][C]0.161128023521194[/C][C]0.0805640117605972[/C][/ROW]
[ROW][C]86[/C][C]0.906283687986628[/C][C]0.187432624026745[/C][C]0.0937163120133723[/C][/ROW]
[ROW][C]87[/C][C]0.904645181649469[/C][C]0.190709636701063[/C][C]0.0953548183505313[/C][/ROW]
[ROW][C]88[/C][C]0.890025890314587[/C][C]0.219948219370826[/C][C]0.109974109685413[/C][/ROW]
[ROW][C]89[/C][C]0.873991991898656[/C][C]0.252016016202689[/C][C]0.126008008101344[/C][/ROW]
[ROW][C]90[/C][C]0.863488861890877[/C][C]0.273022276218246[/C][C]0.136511138109123[/C][/ROW]
[ROW][C]91[/C][C]0.891505794815474[/C][C]0.216988410369051[/C][C]0.108494205184526[/C][/ROW]
[ROW][C]92[/C][C]0.94394161260915[/C][C]0.112116774781698[/C][C]0.056058387390849[/C][/ROW]
[ROW][C]93[/C][C]0.936801694258906[/C][C]0.126396611482189[/C][C]0.0631983057410945[/C][/ROW]
[ROW][C]94[/C][C]0.926940117499788[/C][C]0.146119765000424[/C][C]0.073059882500212[/C][/ROW]
[ROW][C]95[/C][C]0.916231075688453[/C][C]0.167537848623094[/C][C]0.0837689243115472[/C][/ROW]
[ROW][C]96[/C][C]0.913853997448921[/C][C]0.172292005102157[/C][C]0.0861460025510785[/C][/ROW]
[ROW][C]97[/C][C]0.932376327900873[/C][C]0.135247344198255[/C][C]0.0676236720991275[/C][/ROW]
[ROW][C]98[/C][C]0.930143721783449[/C][C]0.139712556433102[/C][C]0.0698562782165509[/C][/ROW]
[ROW][C]99[/C][C]0.922074843117458[/C][C]0.155850313765084[/C][C]0.077925156882542[/C][/ROW]
[ROW][C]100[/C][C]0.910168106285646[/C][C]0.179663787428707[/C][C]0.0898318937143535[/C][/ROW]
[ROW][C]101[/C][C]0.897953235129898[/C][C]0.204093529740204[/C][C]0.102046764870102[/C][/ROW]
[ROW][C]102[/C][C]0.882209955265983[/C][C]0.235580089468033[/C][C]0.117790044734017[/C][/ROW]
[ROW][C]103[/C][C]0.864433675316102[/C][C]0.271132649367797[/C][C]0.135566324683898[/C][/ROW]
[ROW][C]104[/C][C]0.846315591885655[/C][C]0.30736881622869[/C][C]0.153684408114345[/C][/ROW]
[ROW][C]105[/C][C]0.832754963400206[/C][C]0.334490073199587[/C][C]0.167245036599794[/C][/ROW]
[ROW][C]106[/C][C]0.838942775191844[/C][C]0.322114449616313[/C][C]0.161057224808156[/C][/ROW]
[ROW][C]107[/C][C]0.935524228223314[/C][C]0.128951543553372[/C][C]0.064475771776686[/C][/ROW]
[ROW][C]108[/C][C]0.92576338143172[/C][C]0.14847323713656[/C][C]0.0742366185682799[/C][/ROW]
[ROW][C]109[/C][C]0.970632926535435[/C][C]0.0587341469291305[/C][C]0.0293670734645652[/C][/ROW]
[ROW][C]110[/C][C]0.975728176845682[/C][C]0.0485436463086367[/C][C]0.0242718231543183[/C][/ROW]
[ROW][C]111[/C][C]0.971445376772476[/C][C]0.057109246455047[/C][C]0.0285546232275235[/C][/ROW]
[ROW][C]112[/C][C]0.973518161963947[/C][C]0.0529636760721061[/C][C]0.0264818380360531[/C][/ROW]
[ROW][C]113[/C][C]0.97092752651989[/C][C]0.058144946960218[/C][C]0.029072473480109[/C][/ROW]
[ROW][C]114[/C][C]0.972372365390846[/C][C]0.0552552692183086[/C][C]0.0276276346091543[/C][/ROW]
[ROW][C]115[/C][C]0.96693899521481[/C][C]0.0661220095703796[/C][C]0.0330610047851898[/C][/ROW]
[ROW][C]116[/C][C]0.960349046851168[/C][C]0.0793019062976645[/C][C]0.0396509531488323[/C][/ROW]
[ROW][C]117[/C][C]0.960741193214161[/C][C]0.0785176135716777[/C][C]0.0392588067858389[/C][/ROW]
[ROW][C]118[/C][C]0.967315887620192[/C][C]0.0653682247596152[/C][C]0.0326841123798076[/C][/ROW]
[ROW][C]119[/C][C]0.964862014087313[/C][C]0.0702759718253746[/C][C]0.0351379859126873[/C][/ROW]
[ROW][C]120[/C][C]0.971264633998213[/C][C]0.0574707320035742[/C][C]0.0287353660017871[/C][/ROW]
[ROW][C]121[/C][C]0.966964315403135[/C][C]0.0660713691937295[/C][C]0.0330356845968647[/C][/ROW]
[ROW][C]122[/C][C]0.968858454682055[/C][C]0.062283090635889[/C][C]0.0311415453179445[/C][/ROW]
[ROW][C]123[/C][C]0.967090999290594[/C][C]0.0658180014188116[/C][C]0.0329090007094058[/C][/ROW]
[ROW][C]124[/C][C]0.96600748662089[/C][C]0.0679850267582209[/C][C]0.0339925133791105[/C][/ROW]
[ROW][C]125[/C][C]0.959650679528031[/C][C]0.0806986409439372[/C][C]0.0403493204719686[/C][/ROW]
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[ROW][C]268[/C][C]0.872945423917672[/C][C]0.254109152164656[/C][C]0.127054576082328[/C][/ROW]
[ROW][C]269[/C][C]0.844415005217904[/C][C]0.311169989564192[/C][C]0.155584994782096[/C][/ROW]
[ROW][C]270[/C][C]0.800121487949605[/C][C]0.39975702410079[/C][C]0.199878512050395[/C][/ROW]
[ROW][C]271[/C][C]0.756018176811598[/C][C]0.487963646376804[/C][C]0.243981823188402[/C][/ROW]
[ROW][C]272[/C][C]0.710199871055318[/C][C]0.579600257889364[/C][C]0.289800128944682[/C][/ROW]
[ROW][C]273[/C][C]0.942170353311944[/C][C]0.115659293376111[/C][C]0.0578296466880557[/C][/ROW]
[ROW][C]274[/C][C]0.948392308896882[/C][C]0.103215382206236[/C][C]0.051607691103118[/C][/ROW]
[ROW][C]275[/C][C]0.936072659777439[/C][C]0.127854680445122[/C][C]0.0639273402225612[/C][/ROW]
[ROW][C]276[/C][C]0.914449546531474[/C][C]0.171100906937053[/C][C]0.0855504534685264[/C][/ROW]
[ROW][C]277[/C][C]0.849543005396584[/C][C]0.300913989206831[/C][C]0.150456994603416[/C][/ROW]
[ROW][C]278[/C][C]0.840326197804219[/C][C]0.319347604391562[/C][C]0.159673802195781[/C][/ROW]
[ROW][C]279[/C][C]0.736747646828369[/C][C]0.526504706343262[/C][C]0.263252353171631[/C][/ROW]
[ROW][C]280[/C][C]0.771744163364236[/C][C]0.456511673271528[/C][C]0.228255836635764[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157471&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157471&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
90.9649711410055850.07005771798882910.0350288589944146
100.9300509060535520.1398981878928960.0699490939464482
110.9154503113375930.1690993773248140.0845496886624071
120.9279123413493720.1441753173012550.0720876586506277
130.9088746258054340.1822507483891320.091125374194566
140.8622644327264760.2754711345470480.137735567273524
150.8732871440321750.253425711935650.126712855967825
160.8258050734843460.3483898530313070.174194926515654
170.77848280299510.4430343940098010.2215171970049
180.7590370447143590.4819259105712830.240962955285641
190.720336740250790.5593265194984210.279663259749211
200.8098157073398430.3803685853203150.190184292660157
210.7556304586044860.4887390827910280.244369541395514
220.7273212790684350.5453574418631290.272678720931565
230.6787029847347970.6425940305304050.321297015265203
240.6144006168414620.7711987663170760.385599383158538
250.7048911532869650.590217693426070.295108846713035
260.6519557151856640.6960885696286720.348044284814336
270.6000072653190160.7999854693619690.399992734680984
280.5424711836507670.9150576326984660.457528816349233
290.4994122679551950.998824535910390.500587732044805
300.4415066785563940.8830133571127890.558493321443606
310.3961075111875120.7922150223750240.603892488812488
320.343079540803710.6861590816074210.65692045919629
330.639602933462840.7207941330743210.36039706653716
340.6318692969100870.7362614061798250.368130703089913
350.6110090825878120.7779818348243770.388990917412188
360.56198436221730.87603127556540.4380156377827
370.6505061096132690.6989877807734620.349493890386731
380.6235807278078150.7528385443843710.376419272192185
390.585662620045410.828674759909180.41433737995459
400.8629317872573330.2741364254853330.137068212742667
410.8343004882725090.3313990234549820.165699511727491
420.864519455901120.270961088197760.13548054409888
430.8762254395098580.2475491209802840.123774560490142
440.867647083495520.2647058330089610.132352916504481
450.8456300230107220.3087399539785570.154369976989278
460.8540123730080780.2919752539838440.145987626991922
470.8310854048279880.3378291903440240.168914595172012
480.8017179736842150.396564052631570.198282026315785
490.7982197131059140.4035605737881710.201780286894086
500.7679728071849990.4640543856300020.232027192815001
510.7500037392501640.4999925214996710.249996260749836
520.7219315432890240.5561369134219510.278068456710976
530.7366143785475790.5267712429048420.263385621452421
540.7291110439276630.5417779121446740.270888956072337
550.7016312069546770.5967375860906460.298368793045323
560.6653643894692440.6692712210615120.334635610530756
570.755745177396120.4885096452077610.24425482260388
580.7285628494322220.5428743011355560.271437150567778
590.6940716242892260.6118567514215470.305928375710774
600.6987219929672350.602556014065530.301278007032765
610.6609943444353340.6780113111293330.339005655564666
620.6957768077793860.6084463844412280.304223192220614
630.7532091334388910.4935817331222180.246790866561109
640.7287265673927320.5425468652145360.271273432607268
650.7202825384408040.5594349231183920.279717461559196
660.7399597354332470.5200805291335070.260040264566753
670.708733662404630.582532675190740.29126633759537
680.6737782540701450.652443491859710.326221745929855
690.7820538434205450.435892313158910.217946156579455
700.863465756152950.2730684876940990.136534243847049
710.8649967334898240.2700065330203520.135003266510176
720.8493081588908520.3013836822182970.150691841109148
730.8326726145190840.3346547709618330.167327385480916
740.8079881601443740.3840236797112520.192011839855626
750.8134511674614280.3730976650771430.186548832538572
760.8188157336863190.3623685326273630.181184266313681
770.8634319837780160.2731360324439680.136568016221984
780.9176532164873230.1646935670253530.0823467835126767
790.9152214714007760.1695570571984480.084778528599224
800.9514765581321860.09704688373562860.0485234418678143
810.941552871950080.1168942560998410.0584471280499206
820.9341469345238740.1317061309522530.0658530654761264
830.9311935168187060.1376129663625880.0688064831812942
840.9257780815002130.1484438369995750.0742219184997873
850.9194359882394030.1611280235211940.0805640117605972
860.9062836879866280.1874326240267450.0937163120133723
870.9046451816494690.1907096367010630.0953548183505313
880.8900258903145870.2199482193708260.109974109685413
890.8739919918986560.2520160162026890.126008008101344
900.8634888618908770.2730222762182460.136511138109123
910.8915057948154740.2169884103690510.108494205184526
920.943941612609150.1121167747816980.056058387390849
930.9368016942589060.1263966114821890.0631983057410945
940.9269401174997880.1461197650004240.073059882500212
950.9162310756884530.1675378486230940.0837689243115472
960.9138539974489210.1722920051021570.0861460025510785
970.9323763279008730.1352473441982550.0676236720991275
980.9301437217834490.1397125564331020.0698562782165509
990.9220748431174580.1558503137650840.077925156882542
1000.9101681062856460.1796637874287070.0898318937143535
1010.8979532351298980.2040935297402040.102046764870102
1020.8822099552659830.2355800894680330.117790044734017
1030.8644336753161020.2711326493677970.135566324683898
1040.8463155918856550.307368816228690.153684408114345
1050.8327549634002060.3344900731995870.167245036599794
1060.8389427751918440.3221144496163130.161057224808156
1070.9355242282233140.1289515435533720.064475771776686
1080.925763381431720.148473237136560.0742366185682799
1090.9706329265354350.05873414692913050.0293670734645652
1100.9757281768456820.04854364630863670.0242718231543183
1110.9714453767724760.0571092464550470.0285546232275235
1120.9735181619639470.05296367607210610.0264818380360531
1130.970927526519890.0581449469602180.029072473480109
1140.9723723653908460.05525526921830860.0276276346091543
1150.966938995214810.06612200957037960.0330610047851898
1160.9603490468511680.07930190629766450.0396509531488323
1170.9607411932141610.07851761357167770.0392588067858389
1180.9673158876201920.06536822475961520.0326841123798076
1190.9648620140873130.07027597182537460.0351379859126873
1200.9712646339982130.05747073200357420.0287353660017871
1210.9669643154031350.06607136919372950.0330356845968647
1220.9688584546820550.0622830906358890.0311415453179445
1230.9670909992905940.06581800141881160.0329090007094058
1240.966007486620890.06798502675822090.0339925133791105
1250.9596506795280310.08069864094393720.0403493204719686
1260.963994315607270.07201136878545980.0360056843927299
1270.96445457415430.07109085169140220.0355454258457011
1280.957429359278630.08514128144273950.0425706407213697
1290.950264124965430.0994717500691430.0497358750345715
1300.9720632983723960.05587340325520780.0279367016276039
1310.9677621809047720.06447563819045670.0322378190952283
1320.9626421580559880.07471568388802370.0373578419440119
1330.9667789937470450.06644201250590950.0332210062529547
1340.9681837383265540.06363252334689170.0318162616734459
1350.9763732835518670.04725343289626590.023626716448133
1360.9816885254828280.03662294903434390.0183114745171719
1370.988428253700360.023143492599280.01157174629964
1380.9872527652656950.02549446946861010.012747234734305
1390.9846621416103230.03067571677935440.0153378583896772
1400.9854270932005760.02914581359884720.0145729067994236
1410.982322794791690.03535441041662040.0176772052083102
1420.9795132595314620.04097348093707620.0204867404685381
1430.9755966664783360.04880666704332850.0244033335216642
1440.9709796121004110.05804077579917770.0290203878995888
1450.9846648513308180.03067029733836320.0153351486691816
1460.9812333562612050.03753328747759020.0187666437387951
1470.9953244629089440.009351074182111130.00467553709105557
1480.9952349976374230.009530004725153930.00476500236257696
1490.9955835332413370.0088329335173260.004416466758663
1500.9973573254729420.005285349054116710.00264267452705835
1510.9973178527904670.005364294419066710.00268214720953336
1520.9997447970629930.0005104058740142420.000255202937007121
1530.999726097325430.0005478053491406750.000273902674570337
1540.9996262971115110.0007474057769772310.000373702888488615
1550.9994941137194290.001011772561142520.000505886280571258
1560.9993191968002480.001361606399504830.000680803199752416
1570.9993534925697930.00129301486041410.00064650743020705
1580.9993694362244480.001261127551104020.000630563775552012
1590.999640494143110.0007190117137799830.000359505856889991
1600.9995171279996110.00096574400077780.0004828720003889
1610.9993502372469960.001299525506008610.000649762753004305
1620.999846682399640.0003066352007210220.000153317600360511
1630.9998486805846870.0003026388306269090.000151319415313455
1640.9998160293666730.0003679412666544490.000183970633327225
1650.9998320753327940.0003358493344121790.000167924667206089
1660.9997834875556580.0004330248886830560.000216512444341528
1670.9997102340547670.0005795318904667130.000289765945233356
1680.9997895773246010.0004208453507977380.000210422675398869
1690.999724885151020.00055022969796130.00027511484898065
1700.9997966430082790.0004067139834417390.00020335699172087
1710.9997405591233520.0005188817532958380.000259440876647919
1720.9996616754843370.0006766490313249590.00033832451566248
1730.999538448327250.0009231033454984050.000461551672749203
1740.9994152995406620.0011694009186770.000584700459338498
1750.9997515474168940.0004969051662114520.000248452583105726
1760.9997643076066340.0004713847867310760.000235692393365538
1770.9996972330921040.0006055338157926130.000302766907896307
1780.9995935510751460.0008128978497074950.000406448924853747
1790.9996077706007330.0007844587985340410.000392229399267021
1800.9997823216800970.0004353566398053070.000217678319902654
1810.9998633511871370.0002732976257260990.000136648812863049
1820.9998104315429680.0003791369140640230.000189568457032011
1830.9998990749262530.0002018501474937910.000100925073746896
1840.9998886337229030.0002227325541934470.000111366277096723
1850.9998948132240240.0002103735519511830.000105186775975591
1860.9999499180533150.0001001638933696625.00819466848312e-05
1870.9999707076169825.85847660354667e-052.92923830177333e-05
1880.999986816182712.63676345800773e-051.31838172900387e-05
1890.9999814270951453.71458097102169e-051.85729048551084e-05
1900.9999961278148237.7443703535152e-063.8721851767576e-06
1910.9999947342169681.05315660644843e-055.26578303224216e-06
1920.9999920163355351.59673289302291e-057.98366446511456e-06
1930.999994007147861.19857042800299e-055.99285214001497e-06
1940.9999921445313941.57109372117512e-057.85546860587562e-06
1950.9999908747701781.82504596436119e-059.12522982180593e-06
1960.9999919467705951.61064588108927e-058.05322940544636e-06
1970.999991039360541.79212789190097e-058.96063945950484e-06
1980.9999862945822062.74108355885503e-051.37054177942752e-05
1990.9999789777788144.20444423721968e-052.10222211860984e-05
2000.9999687843682326.24312635369722e-053.12156317684861e-05
2010.9999538016080889.23967838243148e-054.61983919121574e-05
2020.999961804638697.63907226218064e-053.81953613109032e-05
2030.9999538449079269.2310184148626e-054.6155092074313e-05
2040.9999305465694280.0001389068611440626.94534305720309e-05
2050.9998970364161240.0002059271677514530.000102963583875726
2060.9999192101300960.0001615797398088338.07898699044164e-05
2070.9998803715635130.0002392568729732170.000119628436486609
2080.9998881947573340.0002236104853313430.000111805242665671
2090.99984075406520.0003184918695976630.000159245934798832
2100.9998257646135950.0003484707728097320.000174235386404866
2110.9999127594580240.0001744810839515158.72405419757573e-05
2120.9998741145418380.0002517709163239540.000125885458161977
2130.9998512544447670.0002974911104668890.000148745555233444
2140.999793757790320.0004124844193594360.000206242209679718
2150.9999171136890280.0001657726219444318.28863109722157e-05
2160.9999709760286645.80479426719153e-052.90239713359577e-05
2170.9999555736402648.88527194714679e-054.44263597357339e-05
2180.9999317585619450.0001364828761094886.82414380547442e-05
2190.9999021037602210.0001957924795573969.7896239778698e-05
2200.9998590193891310.0002819612217380090.000140980610869004
2210.9998579035879460.000284192824108410.000142096412054205
2220.999868832994710.0002623340105787530.000131167005289377
2230.9998321532020770.0003356935958469540.000167846797923477
2240.9998142979800470.0003714040399061950.000185702019953098
2250.9998753747648140.0002492504703709840.000124625235185492
2260.9999734544166555.30911666899274e-052.65455833449637e-05
2270.9999911800550521.7639889896682e-058.81994494834099e-06
2280.9999879857688962.40284622074951e-051.20142311037476e-05
2290.9999916856686951.6628662609844e-058.31433130492202e-06
2300.9999946298209241.07403581515576e-055.37017907577879e-06
2310.9999967691213786.46175724320512e-063.23087862160256e-06
2320.9999953114857039.3770285938659e-064.68851429693296e-06
2330.9999918531282351.62937435300516e-058.1468717650258e-06
2340.9999868820514432.62358971145966e-051.31179485572983e-05
2350.9999835832945483.28334109050848e-051.64167054525424e-05
2360.999978554772534.28904549414203e-052.14452274707102e-05
2370.999963163413397.36731732204322e-053.68365866102161e-05
2380.9999697693095726.0461380856633e-053.02306904283165e-05
2390.999947954185050.0001040916298991665.20458149495832e-05
2400.9999587477811858.25044376307106e-054.12522188153553e-05
2410.99992879325650.0001424134870007817.12067435003904e-05
2420.9998782583258650.0002434833482694320.000121741674134716
2430.999845366811520.0003092663769605040.000154633188480252
2440.999814490027750.0003710199444996320.000185509972249816
2450.9996904926658210.0006190146683581710.000309507334179086
2460.9995510698584120.0008978602831757680.000448930141587884
2470.9995875056137180.0008249887725646340.000412494386282317
2480.9993843305404510.001231338919097180.00061566945954859
2490.9994308409447080.00113831811058390.000569159055291952
2500.9991992129482270.001601574103546750.000800787051773375
2510.999171960353990.00165607929201990.000828039646009952
2520.99866633499250.002667330014999920.00133366500749996
2530.9989105076567960.002178984686408340.00108949234320417
2540.9981988715630190.003602256873962650.00180112843698132
2550.9970591313977820.005881737204435740.00294086860221787
2560.9962754420087930.007449115982414260.00372455799120713
2570.9943340624061560.01133187518768910.00566593759384453
2580.9910850432278780.01782991354424360.0089149567721218
2590.9877122287322820.02457554253543510.0122877712677176
2600.9813868388130520.03722632237389550.0186131611869477
2610.984140418774840.03171916245032050.0158595812251603
2620.9756013108797560.04879737824048730.0243986891202436
2630.9667894023470330.06642119530593330.0332105976529666
2640.9521074977718060.09578500445638860.0478925022281943
2650.9391667522003860.1216664955992290.0608332477996143
2660.9146041868795790.1707916262408420.0853958131204211
2670.9080593157114630.1838813685770740.0919406842885369
2680.8729454239176720.2541091521646560.127054576082328
2690.8444150052179040.3111699895641920.155584994782096
2700.8001214879496050.399757024100790.199878512050395
2710.7560181768115980.4879636463768040.243981823188402
2720.7101998710553180.5796002578893640.289800128944682
2730.9421703533119440.1156592933761110.0578296466880557
2740.9483923088968820.1032153822062360.051607691103118
2750.9360726597774390.1278546804451220.0639273402225612
2760.9144495465314740.1711009069370530.0855504534685264
2770.8495430053965840.3009139892068310.150456994603416
2780.8403261978042190.3193476043915620.159673802195781
2790.7367476468283690.5265047063432620.263252353171631
2800.7717441633642360.4565116732715280.228255836635764






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1100.404411764705882NOK
5% type I error level1280.470588235294118NOK
10% type I error level1580.580882352941177NOK

\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 & 110 & 0.404411764705882 & NOK \tabularnewline
5% type I error level & 128 & 0.470588235294118 & NOK \tabularnewline
10% type I error level & 158 & 0.580882352941177 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157471&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]110[/C][C]0.404411764705882[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]128[/C][C]0.470588235294118[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]158[/C][C]0.580882352941177[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157471&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157471&T=6

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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 level1100.404411764705882NOK
5% type I error level1280.470588235294118NOK
10% type I error level1580.580882352941177NOK


Figures (Output of Computation)

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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')
}