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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 computationSat, 15 Dec 2012 04:06:33 -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/2012/Dec/15/t1355562510v32jhe0h618hfnk.htm/, Retrieved Tue, 30 Apr 2024 18:45:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=199777, Retrieved Tue, 30 Apr 2024 18:45:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact133

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2012-12-15 09:06:33] [bf4e245843e41242b63589382448713e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
210907	56	396	81	3	79	30	115
120982	56	297	55	4	58	28	109
176508	54	559	50	12	60	38	146
179321	89	967	125	2	108	30	116
123185	40	270	40	1	49	22	68
52746	25	143	37	3	0	26	101
385534	92	1562	63	0	121	25	96
33170	18	109	44	0	1	18	67
101645	63	371	88	0	20	11	44
149061	44	656	66	5	43	26	100
165446	33	511	57	0	69	25	93
237213	84	655	74	0	78	38	140
173326	88	465	49	7	86	44	166
133131	55	525	52	7	44	30	99
258873	60	885	88	3	104	40	139
180083	66	497	36	9	63	34	130
324799	154	1436	108	0	158	47	181
230964	53	612	43	4	102	30	116
236785	119	865	75	3	77	31	116
135473	41	385	32	0	82	23	88
202925	61	567	44	7	115	36	139
215147	58	639	85	0	101	36	135
344297	75	963	86	1	80	30	108
153935	33	398	56	5	50	25	89
132943	40	410	50	7	83	39	156
174724	92	966	135	0	123	34	129
174415	100	801	63	0	73	31	118
225548	112	892	81	5	81	31	118
223632	73	513	52	0	105	33	125
124817	40	469	44	0	47	25	95
221698	45	683	113	0	105	33	126
210767	60	643	39	3	94	35	135
170266	62	535	73	4	44	42	154
260561	75	625	48	1	114	43	165
84853	31	264	33	4	38	30	113
294424	77	992	59	2	107	33	127
101011	34	238	41	0	30	13	52
215641	46	818	69	0	71	32	121
325107	99	937	64	0	84	36	136
7176	17	70	1	0	0	0	0
167542	66	507	59	2	59	28	108
106408	30	260	32	1	33	14	46
96560	76	503	129	0	42	17	54
265769	146	927	37	2	96	32	124
269651	67	1269	31	10	106	30	115
149112	56	537	65	6	56	35	128
175824	107	910	107	0	57	20	80
152871	58	532	74	5	59	28	97
111665	34	345	54	4	39	28	104
116408	61	918	76	1	34	39	59
362301	119	1635	715	2	76	34	125
78800	42	330	57	2	20	26	82
183167	66	557	66	0	91	39	149
277965	89	1178	106	8	115	39	149
150629	44	740	54	3	85	33	122
168809	66	452	32	0	76	28	118
24188	24	218	20	0	8	4	12
329267	259	764	71	8	79	39	144
65029	17	255	21	5	21	18	67
101097	64	454	70	3	30	14	52
218946	41	866	112	1	76	29	108
244052	68	574	66	5	101	44	166
341570	168	1276	190	1	94	21	80
103597	43	379	66	1	27	16	60
233328	132	825	165	5	92	28	107
256462	105	798	56	0	123	35	127
206161	71	663	61	12	75	28	107
311473	112	1069	53	8	128	38	146
235800	94	921	127	8	105	23	84
177939	82	858	63	8	55	36	141
207176	70	711	38	8	56	32	123
196553	57	503	50	2	41	29	111
174184	53	382	52	0	72	25	98
143246	103	464	42	5	67	27	105
187559	121	717	76	8	75	36	135
187681	62	690	67	2	114	28	107
119016	52	462	50	5	118	23	85
182192	52	657	53	12	77	40	155
73566	32	385	39	6	22	23	88
194979	62	577	50	7	66	40	155
167488	45	619	77	2	69	28	104
143756	46	479	57	0	105	34	132
275541	63	817	73	4	116	33	127
243199	75	752	34	3	88	28	108
182999	88	430	39	6	73	34	129
135649	46	451	46	2	99	30	116
152299	53	537	63	0	62	33	122
120221	37	519	35	1	53	22	85
346485	90	1000	106	0	118	38	147
145790	63	637	43	5	30	26	99
193339	78	465	47	2	100	35	87
80953	25	437	31	0	49	8	28
122774	45	711	162	0	24	24	90
130585	46	299	57	5	67	29	109
112611	41	248	36	0	46	20	78
286468	144	1162	263	1	57	29	111
241066	82	714	78	0	75	45	158
148446	91	905	63	1	135	37	141
204713	71	649	54	1	68	33	122
182079	63	512	63	2	124	33	124
140344	53	472	77	6	33	25	93
220516	62	905	79	1	98	32	124
243060	63	786	110	4	58	29	112
162765	32	489	56	2	68	28	108
182613	39	479	56	3	81	28	99
232138	62	617	43	0	131	31	117
265318	117	925	111	10	110	52	199
85574	34	351	71	0	37	21	78
310839	92	1144	62	9	130	24	91
225060	93	669	56	7	93	41	158
232317	54	707	74	0	118	33	126
144966	144	458	60	0	39	32	122
43287	14	214	43	4	13	19	71
155754	61	599	68	4	74	20	75
164709	109	572	53	0	81	31	115
201940	38	897	87	0	109	31	119
235454	73	819	46	0	151	32	124
220801	75	720	105	1	51	18	72
99466	50	273	32	0	28	23	91
92661	61	508	133	1	40	17	45
133328	55	506	79	0	56	20	78
61361	77	451	51	0	27	12	39
125930	75	699	207	4	37	17	68
100750	72	407	67	0	83	30	119
224549	50	465	47	4	54	31	117
82316	32	245	34	4	27	10	39
102010	53	370	66	3	28	13	50
101523	42	316	76	0	59	22	88
243511	71	603	65	0	133	42	155
22938	10	154	9	0	12	1	0
41566	35	229	42	5	0	9	36
152474	65	577	45	0	106	32	123
61857	25	192	25	4	23	11	32
99923	66	617	115	0	44	25	99
132487	41	411	97	0	71	36	136
317394	86	975	53	1	116	31	117
21054	16	146	2	0	4	0	0
209641	42	705	52	5	62	24	88
22648	19	184	44	0	12	13	39
31414	19	200	22	0	18	8	25
46698	45	274	35	0	14	13	52
131698	65	502	74	0	60	19	75
91735	35	382	103	0	7	18	71
244749	95	964	144	2	98	33	124
184510	49	537	60	7	64	40	151
79863	37	438	134	1	29	22	71
128423	64	369	89	8	32	38	145
97839	38	417	42	2	25	24	87
38214	34	276	52	0	16	8	27
151101	32	514	98	2	48	35	131
272458	65	822	99	0	100	43	162
172494	52	389	52	0	46	43	165
108043	62	466	29	1	45	14	54
328107	65	1255	125	3	129	41	159
250579	83	694	106	0	130	38	147
351067	95	1024	95	3	136	45	170
158015	29	400	40	0	59	31	119
98866	18	397	140	0	25	13	49
85439	33	350	43	0	32	28	104
229242	247	719	128	4	63	31	120
351619	139	1277	142	4	95	40	150
84207	29	356	73	11	14	30	112
120445	118	457	72	0	36	16	59
324598	110	1402	128	0	113	37	136
131069	67	600	61	4	47	30	107
204271	42	480	73	0	92	35	130
165543	65	595	148	1	70	32	115
141722	94	436	64	0	19	27	107
116048	64	230	45	0	50	20	75
250047	81	651	58	0	41	18	71
299775	95	1367	97	9	91	31	120
195838	67	564	50	1	111	31	116
173260	63	716	37	3	41	21	79
254488	83	747	50	10	120	39	150
104389	45	467	105	5	135	41	156
136084	30	671	69	0	27	13	51
199476	70	861	46	2	87	32	118
92499	32	319	57	0	25	18	71
224330	83	612	52	1	131	39	144
135781	31	433	98	2	45	14	47
74408	67	434	61	4	29	7	28
81240	66	503	89	0	58	17	68
14688	10	85	0	0	4	0	0
181633	70	564	48	2	47	30	110
271856	103	824	91	1	109	37	147
7199	5	74	0	0	7	0	0
46660	20	259	7	0	12	5	15
17547	5	69	3	0	0	1	4
133368	36	535	54	1	37	16	64
95227	34	239	70	0	37	32	111
152601	48	438	36	2	46	24	85
98146	40	459	37	0	15	17	68
79619	43	426	123	3	42	11	40
59194	31	288	247	6	7	24	80
139942	42	498	46	0	54	22	88
118612	46	454	72	2	54	12	48
72880	33	376	41	0	14	19	76
65475	18	225	24	2	16	13	51
99643	55	555	45	1	33	17	67
71965	35	252	33	1	32	15	59
77272	59	208	27	2	21	16	61
49289	19	130	36	1	15	24	76
135131	66	481	87	0	38	15	60
108446	60	389	90	1	22	17	68
89746	36	565	114	3	28	18	71
44296	25	173	31	0	10	20	76
77648	47	278	45	0	31	16	62
181528	54	609	69	0	32	16	61
134019	53	422	51	0	32	18	67
124064	40	445	34	1	43	22	88
92630	40	387	60	4	27	8	30
121848	39	339	45	0	37	17	64
52915	14	181	54	0	20	18	68
81872	45	245	25	0	32	16	64
58981	36	384	38	7	0	23	91
53515	28	212	52	2	5	22	88
60812	44	399	67	0	26	13	52
56375	30	229	74	7	10	13	49
65490	22	224	38	3	27	16	62
80949	17	203	30	0	11	16	61
76302	31	333	26	0	29	20	76
104011	55	384	67	6	25	22	88
98104	54	636	132	2	55	17	66
67989	21	185	42	0	23	18	71
30989	14	93	35	0	5	17	68
135458	81	581	118	3	43	12	48
73504	35	248	68	0	23	7	25
63123	43	304	43	1	34	17	68
61254	46	344	76	1	36	14	41
74914	30	407	64	0	35	23	90
31774	23	170	48	1	0	17	66
81437	38	312	64	0	37	14	54
87186	54	507	56	0	28	15	59
50090	20	224	71	0	16	17	60
65745	53	340	75	0	26	21	77
56653	45	168	39	0	38	18	68
158399	39	443	42	0	23	18	72
46455	20	204	39	0	22	17	67
73624	24	367	93	0	30	17	64
38395	31	210	38	0	16	16	63
91899	35	335	60	0	18	15	59
139526	151	364	71	0	28	21	84
52164	52	178	52	0	32	16	64
51567	30	206	27	2	21	14	56
70551	31	279	59	0	23	15	54
84856	29	387	40	1	29	17	67
102538	57	490	79	1	50	15	58
86678	40	238	44	0	12	15	59
85709	44	343	65	0	21	10	40
34662	25	232	10	0	18	6	22
150580	77	530	124	0	27	22	83
99611	35	291	81	0	41	21	81
19349	11	67	15	0	13	1	2
99373	63	397	92	1	12	18	72
86230	44	467	42	0	21	17	61
30837	19	178	10	0	8	4	15
31706	13	175	24	0	26	10	32
89806	42	299	64	0	27	16	62
62088	38	154	45	1	13	16	58
40151	29	106	22	0	16	9	36
27634	20	189	56	0	2	16	59
76990	27	194	94	0	42	17	68
37460	20	135	19	0	5	7	21
54157	19	201	35	0	37	15	55
49862	37	207	32	0	17	14	54
84337	26	280	35	0	38	14	55
64175	42	260	48	0	37	18	72
59382	49	227	49	0	29	12	41
119308	30	239	48	0	32	16	61
76702	49	333	62	0	35	21	67
103425	67	428	96	1	17	19	76
70344	28	230	45	0	20	16	64
43410	19	292	63	0	7	1	3
104838	49	350	71	1	46	16	63
62215	27	186	26	0	24	10	40
69304	30	326	48	6	40	19	69
53117	22	155	29	3	3	12	48
19764	12	75	19	1	10	2	8
86680	31	361	45	2	37	14	52
84105	20	261	45	0	17	17	66
77945	20	299	67	0	28	19	76
89113	39	300	30	0	19	14	43
91005	29	450	36	3	29	11	39
40248	16	183	34	1	8	4	14
64187	27	238	36	0	10	16	61
50857	21	165	34	0	15	20	71
56613	19	234	37	1	15	12	44
62792	35	176	46	0	28	15	60
72535	14	329	44	0	17	16	64

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time20 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 20 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199777&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]20 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199777&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199777&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 time20 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Multiple Linear Regression - Estimated Regression Equation
logins[t] = + 8.89416732470245 + 0.000213533866973223time_in_rfc[t] + 0.0251436060740237compendium_views_info[t] + 0.0516021900691749compendium_views_pr[t] + 0.380169004180257shared_compendiums[t] -0.0928665623872123blogged_computations[t] -0.215478128514636compendiums_reviewed[t] + 0.112069176181516feedback_messages_p1[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
logins[t] =  +  8.89416732470245 +  0.000213533866973223time_in_rfc[t] +  0.0251436060740237compendium_views_info[t] +  0.0516021900691749compendium_views_pr[t] +  0.380169004180257shared_compendiums[t] -0.0928665623872123blogged_computations[t] -0.215478128514636compendiums_reviewed[t] +  0.112069176181516feedback_messages_p1[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199777&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]logins[t] =  +  8.89416732470245 +  0.000213533866973223time_in_rfc[t] +  0.0251436060740237compendium_views_info[t] +  0.0516021900691749compendium_views_pr[t] +  0.380169004180257shared_compendiums[t] -0.0928665623872123blogged_computations[t] -0.215478128514636compendiums_reviewed[t] +  0.112069176181516feedback_messages_p1[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199777&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199777&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
logins[t] = + 8.89416732470245 + 0.000213533866973223time_in_rfc[t] + 0.0251436060740237compendium_views_info[t] + 0.0516021900691749compendium_views_pr[t] + 0.380169004180257shared_compendiums[t] -0.0928665623872123blogged_computations[t] -0.215478128514636compendiums_reviewed[t] + 0.112069176181516feedback_messages_p1[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)8.894167324702453.6096912.4640.014340.00717
time_in_rfc0.0002135338669732234.8e-054.46271.2e-056e-06
compendium_views_info0.02514360607402370.0121872.06320.0400110.020006
compendium_views_pr0.05160219006917490.0322341.60090.1105260.055263
shared_compendiums0.3801690041802570.5593360.67970.4972670.248634
blogged_computations-0.09286656238721230.075542-1.22930.2199770.109988
compendiums_reviewed-0.2154781285146360.734853-0.29320.7695660.384783
feedback_messages_p10.1120691761815160.1981670.56550.5721650.286082

\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) & 8.89416732470245 & 3.609691 & 2.464 & 0.01434 & 0.00717 \tabularnewline
time_in_rfc & 0.000213533866973223 & 4.8e-05 & 4.4627 & 1.2e-05 & 6e-06 \tabularnewline
compendium_views_info & 0.0251436060740237 & 0.012187 & 2.0632 & 0.040011 & 0.020006 \tabularnewline
compendium_views_pr & 0.0516021900691749 & 0.032234 & 1.6009 & 0.110526 & 0.055263 \tabularnewline
shared_compendiums & 0.380169004180257 & 0.559336 & 0.6797 & 0.497267 & 0.248634 \tabularnewline
blogged_computations & -0.0928665623872123 & 0.075542 & -1.2293 & 0.219977 & 0.109988 \tabularnewline
compendiums_reviewed & -0.215478128514636 & 0.734853 & -0.2932 & 0.769566 & 0.384783 \tabularnewline
feedback_messages_p1 & 0.112069176181516 & 0.198167 & 0.5655 & 0.572165 & 0.286082 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199777&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]8.89416732470245[/C][C]3.609691[/C][C]2.464[/C][C]0.01434[/C][C]0.00717[/C][/ROW]
[ROW][C]time_in_rfc[/C][C]0.000213533866973223[/C][C]4.8e-05[/C][C]4.4627[/C][C]1.2e-05[/C][C]6e-06[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]0.0251436060740237[/C][C]0.012187[/C][C]2.0632[/C][C]0.040011[/C][C]0.020006[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]0.0516021900691749[/C][C]0.032234[/C][C]1.6009[/C][C]0.110526[/C][C]0.055263[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]0.380169004180257[/C][C]0.559336[/C][C]0.6797[/C][C]0.497267[/C][C]0.248634[/C][/ROW]
[ROW][C]blogged_computations[/C][C]-0.0928665623872123[/C][C]0.075542[/C][C]-1.2293[/C][C]0.219977[/C][C]0.109988[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]-0.215478128514636[/C][C]0.734853[/C][C]-0.2932[/C][C]0.769566[/C][C]0.384783[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]0.112069176181516[/C][C]0.198167[/C][C]0.5655[/C][C]0.572165[/C][C]0.286082[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199777&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199777&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)8.894167324702453.6096912.4640.014340.00717
time_in_rfc0.0002135338669732234.8e-054.46271.2e-056e-06
compendium_views_info0.02514360607402370.0121872.06320.0400110.020006
compendium_views_pr0.05160219006917490.0322341.60090.1105260.055263
shared_compendiums0.3801690041802570.5593360.67970.4972670.248634
blogged_computations-0.09286656238721230.075542-1.22930.2199770.109988
compendiums_reviewed-0.2154781285146360.734853-0.29320.7695660.384783
feedback_messages_p10.1120691761815160.1981670.56550.5721650.286082






Multiple Linear Regression - Regression Statistics
Multiple R0.732882226699588
R-squared0.537116358212147
Adjusted R-squared0.525585448986115
F-TEST (value)46.5805729351823
F-TEST (DF numerator)7
F-TEST (DF denominator)281
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation23.3288017758649
Sum Squared Residuals152929.470835624

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.732882226699588 \tabularnewline
R-squared & 0.537116358212147 \tabularnewline
Adjusted R-squared & 0.525585448986115 \tabularnewline
F-TEST (value) & 46.5805729351823 \tabularnewline
F-TEST (DF numerator) & 7 \tabularnewline
F-TEST (DF denominator) & 281 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 23.3288017758649 \tabularnewline
Sum Squared Residuals & 152929.470835624 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199777&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.732882226699588[/C][/ROW]
[ROW][C]R-squared[/C][C]0.537116358212147[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.525585448986115[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]46.5805729351823[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]7[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]281[/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]23.3288017758649[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]152929.470835624[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199777&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199777&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 R0.732882226699588
R-squared0.537116358212147
Adjusted R-squared0.525585448986115
F-TEST (value)46.5805729351823
F-TEST (DF numerator)7
F-TEST (DF denominator)281
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation23.3288017758649
Sum Squared Residuals152929.470835624






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
15668.2942599967269-12.2942599967269
25647.35026108028478.64973891971528
35470.3839535611256-16.3839535611256
48975.215844568593913.7841554314061
54042.7610905707803-2.76109057078027
62532.5191038387103-7.5191038387103
792127.878817508047-35.878817508047
81824.5253970458275-6.52539704582746
96345.171540903327317.8284590966727
104464.1357583137454-20.1357583137454
113358.6398863850208-25.6398863850208
128480.09272447027963.90727552972041
138863.922526744963124.0774732550369
145556.4114105119296-1.41141051192961
156089.406279044176-29.406279044176
166666.5157018934488-0.515701893448856
17154115.41314062499438.5868593750058
185374.4035517014251-21.4035517014251
1911985.385151687003333.6148483129967
204146.444831738264-5.44483173826399
216168.5543795046951-7.5543795046951
225873.2808919964408-15.2808919964408
2375109.654289302584-34.654289302584
243356.5061013673905-23.5061013673905
254054.203391018901-14.203391018901
269273.166758008868218.8332419911318
2710069.293724923686830.7062750763132
2811284.587172239413527.4128277605865
297369.37603659427873.62396340572125
304050.5045617026392-10.5045617026392
314576.4972778985377-31.4972778985377
326072.078538417978-12.078538417978
336268.1136328494402-6.11363284944015
347581.7436595925565-6.7436595925565
353139.5451605138856-8.54516051388558
367797.6962719809378-20.6962719809378
373438.8036894191207-4.80368941912068
384679.1403890920027-33.1403890920027
3999104.861025364187-5.86102536418691
401712.23814096935314.76185903064688
416661.81369021545044.18630978454957
423039.258547453596-9.258547453596
437647.305125602584528.6948743974155
4414689.708679232716256.2913207672838
4567100.362137922173-33.3621379221728
465661.4744946976802-5.47449469768023
4710774.203239284323132.7967607156769
485859.9913039305186-1.99130393051858
493447.7201757476286-13.7201757476286
506156.18595479818614.81404520181391
51119164.647932613581-45.6479326135811
524239.44959874668332.55040125331674
536665.26106132612230.738938673877686
5489103.994466358335-14.9944663583346
554462.2598573943147-18.2598573943147
566658.08970235183857.91029764816148
572420.31245952559343.68754047440663
58259105.51650159976153.48349840024
591733.8560024021008-16.8560024021008
606446.674564639701717.3254353602983
614182.3772770743052-41.3772770743052
626880.4894768695872-12.4894768695872
63168119.8097932658448.1902067341601
644345.1000789225303-2.10007892253026
6513287.290569344604244.7094306553958
6610581.88027391074723.119726089253
677176.289517419201-5.28951741920103
68112104.3459953260757.65400467392521
699486.70436931614497.29563068385505
708277.69255438313344.30744561686662
717077.7012799876227-7.70127998762268
725769.2358546182917-12.2358546182917
735357.2859553744839-4.28595537448387
7410354.944104204523248.0558957954768
7512174.342583893044446.6574161069556
766265.9084160870457-3.90841608704571
775244.01704322484777.98295677515228
785273.215494794485-21.215494794485
793241.4398137343512-9.43981373435118
806272.9003444607003-10.9003444607003
814564.1701403595715-19.1701403595715
824652.2919398845106-6.29193988451063
836389.9109505157724-26.9109505157724
847580.5261894204011-5.52618942040109
858863.427309800196324.5726901998037
864649.6755188419632-3.6755188419632
875358.9721505521209-5.9721505521209
883749.6646328966946-12.6646328966946
8990110.821633097711-20.8216330977115
906362.86790628273070.132093717269287
917857.977636988529620.0223630114704
922535.6314485522705-10.6314485522705
934564.0331862930022-19.0331862930022
944648.8832102112957-2.88321021129571
954141.193694069326-0.19369406932601
96144114.13062115232929.8693788476708
978283.392849937198-1.39284993719799
989162.270563381217828.7294366187822
997172.3389484551805-1.33894845518047
1006359.92934845144933.07065154855073
1015358.9554126917767-5.95541269177674
1026281.093861670899-19.093861670899
1036388.672121716674-25.672121716674
1043259.3504483918945-27.3504483918945
1053961.5015136303516-22.5015136303516
1066270.4627432133385-8.46274321333849
10711799.217496115024217.7825038849758
1083440.4365679189868-6.43656791898681
10992103.608130009215-11.6081300092155
1109379.559813827922213.4401861720778
1115476.1484898539714-22.1484898539714
11214457.616564318971486.3834356810286
1131429.9132714699848-15.9132714699848
1146159.46706624768221.53293375231779
11510959.868117491559349.1318825084407
1163875.5923562871331-37.5923562871331
1177375.1163113703937-2.11631137039373
1187579.3986337110556-4.39863371105561
1195041.29103580732258.70896419267749
1206146.361963389223714.6380366107763
1215553.39475410761081.60524589238923
1227735.245860113407741.7541398865923
1237566.08371018669068.91628981330937
1247243.262462261039828.7375377389602
1255073.8982166544402-23.8982166544402
1263235.6152744871571-3.61527448715708
1275344.72812229067968.27187770932041
1284242.0823535618796-0.082353561879649
1297175.3771377353727-4.37713773537267
1301016.7988653341953-6.79886533419526
1313529.69112601997235.30887398002766
1326555.32784236021589.67215763978417
1332528.8210581579697-3.82105815796969
1346653.300735203962412.6992647960376
1354153.4147326961848-12.4147326961848
1368699.9583868911883-13.9583868911882
1371616.7926139773536-0.792613977353631
1384274.902907469136-32.902907469136
1391921.0822856763184-2.08228567631836
1401921.1723958715768-2.17239587157685
1414529.287446178649215.7125538213508
1426552.195912880223712.8040871197763
1433546.8308189678068-11.8308189678068
1449591.27073385779053.72926614220946
1454969.9125924851368-20.9125924851368
1463744.7786468489935-7.77864684899352
1476458.31889638029095.68110361970908
1483845.4555002433897-7.45550024338968
1493426.49327740783337.50672259216673
1503262.5822469025914-30.5822469025914
1516592.4528294387437-27.4528294387437
1525263.145647494783-11.145647494783
1536244.414606267944217.5853937320559
15465115.106739405584-50.1067394055837
1558381.53411184447981.46588815552021
15695112.374020773342-17.3740207733418
1572955.9345341476539-26.9345341476539
1581847.5802347404727-29.5802347404727
1593340.8075204119875-7.80752041198754
16024784.9669928976103162.03300710239
161139124.30223191888914.6977680811109
1622948.5624283477714-19.5624283477714
16311849.640474685637368.3595253143627
164110116.838045177002-6.83804517700194
1656757.79874055415499.20125944584511
1664266.8323693217321-24.8323693217321
1676566.7129387948141-1.71293879481409
1689457.830794128753136.1692058712469
1696441.231770993309722.7682290066903
1708181.919860875706-0.919860875705991
17195114.022147254715-19.0221472547149
1726763.86549912651453.13450087348555
1736367.464550272241-4.46455027224097
1748385.6627892742322-2.66278927423218
1754546.3570954718467-1.35709547184673
1763058.7915359984418-28.7915359984418
1777074.5212043035931-4.52120430359311
1783241.364612793359-9.36461279335902
1798370.816384193228112.1836158067719
1803152.6641055552873-21.6641055552873
1816739.299989669763827.7000103302362
1826642.052802626133523.9471973738665
1831013.7962930295483-3.7962930295483
1847066.59573823440883.40426176559115
18510391.117952813480911.8820471865191
186511.6419585458099-6.64195854580994
1872025.2203151128324-5.2203151128324
188514.7635600540082-9.76356005400818
1893654.2799830237616-18.2799830237616
1903440.9581476668486-6.95814766684855
1914855.1931082912223-7.19310829122228
1924045.8664358129788-5.86643581297883
1934342.30638487116360.693615128836414
1943146.9461976412615-15.9461976412615
1954253.778514612457-11.778514612457
1964647.8915277507059-1.89152775070591
1973339.1492423009762-6.14924230097619
1981831.9598465178219-13.9598465178219
1995547.60920142052637.39079857947367
2003533.08854153914661.91145846085344
2015934.216195377789324.7838046222106
2021926.8783385998751-7.87833859987505
2036654.29572663274211.704273367258
2046048.770801358757411.2291986412426
2053650.7653133111137-14.7653133111137
2062527.5814044347292-2.58140443472924
2074735.40844150214711.591558497853
2085466.9463900369187-12.9463900369187
2095351.41237459386011.58762540613993
2104049.8378876603424-9.83788766034243
2114042.1520454668244-2.15204546682444
2123945.831859242404-6.83185924240399
2131429.4155892780597-15.4155892780597
2144534.579897544391410.4201024556086
2153641.008117393647-5.008117393647
2162833.7527644601405-5.75276446014048
2174435.98108526992938.0189147300707
2183034.931278298982-4.93127829898196
2192232.6052999510946-10.6052999510946
2201735.1987755619989-18.1987755619989
2213136.4162707172151-5.4162707172151
2225549.29744847156685.70255152843318
2235452.03163088274881.96836911725125
2242132.173354773663-11.173354773663
2251423.1490433292992-9.14904332929921
2268158.457359178759522.5426408212405
2273533.49177548379361.50822451620644
2284333.41589770774029.58410229225975
2294633.160252929479612.8397470705204
2303040.3067304886367-10.3067304886367
2312326.5439170172256-3.54391701722557
2323837.03004901519350.969950984806499
2335443.928507694181610.0714923058184
2342030.4611593648307-10.4611593648307
2355337.04169697431515.958303025685
2364527.441281019835817.5587189801642
2373958.0780712299917-19.0780712299917
2382027.7581064136363-7.75810641363627
2392439.3653940715908-15.3653940715908
2403126.46068369031894.53931630968109
2413541.7452669486432-6.74526694864319
24215153.792228107462497.2077718925376
2435227.94487094925924.055129050741
2443028.54763049121631.4523695087837
2453134.7024231334407-3.70242313344068
2462940.3410056083603-11.3410056083603
2475746.191124143767210.8088758562328
2484037.92304117321222.07695882678783
2494439.55212871897974.44787128102027
2502522.14607171352932.85392828647074
2517762.826705412629714.1732945873703
2523542.406089624936-7.40608962493597
2531114.2858834875792-3.28588348757918
2546348.299226012523514.7007739874765
2554442.43944244547011.56055755452992
2561920.5466875919902-1.54668759199018
2571320.3199574661644-7.31995746616443
2584239.88450984522512.11549015477492
2593830.57153780128877.4284621987113
2602921.87755823062017.12244176937986
2612025.4155246102056-5.41552461020561
2622735.1197853631653-8.11978536316529
2632021.6487474011002-1.64874740110022
2641926.8140323856082-7.81403238560816
2653727.85369969327219.14630030672785
2662635.3674409368353-9.36744093683532
2674232.36625750375449.63374249624555
2684929.126309677536719.8736903224633
2693043.2735325950033-13.2735325950033
2704936.578063018023112.4219369819769
2716749.918791554345717.0812084456543
2722833.8875675848438-5.88756758484378
2731928.2272069013024-9.22720690130241
2744943.46566366883075.53433633116926
2752728.2967327948297-1.29673279482966
2763036.5716793892064-6.57167938920639
2772229.2856584301152-7.28565843011515
2781215.8977632711583-3.89776327115831
2793138.9374018220444-7.93740182204443
2802037.8927188275671-17.8927188275671
2812038.3362587378733-18.3362587378733
2823937.05177442781291.94822557218713
2832941.9469336251313-12.9469336251313
2841624.1885252341042-8.18852523410424
2852732.9020267991868-5.90202679918683
2862127.9113791647123-6.91137916471225
2871930.1083217677217-11.1083217677217
2883529.99307620822485.00692379177523
2891437.0716347858029-23.0716347858029

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 56 & 68.2942599967269 & -12.2942599967269 \tabularnewline
2 & 56 & 47.3502610802847 & 8.64973891971528 \tabularnewline
3 & 54 & 70.3839535611256 & -16.3839535611256 \tabularnewline
4 & 89 & 75.2158445685939 & 13.7841554314061 \tabularnewline
5 & 40 & 42.7610905707803 & -2.76109057078027 \tabularnewline
6 & 25 & 32.5191038387103 & -7.5191038387103 \tabularnewline
7 & 92 & 127.878817508047 & -35.878817508047 \tabularnewline
8 & 18 & 24.5253970458275 & -6.52539704582746 \tabularnewline
9 & 63 & 45.1715409033273 & 17.8284590966727 \tabularnewline
10 & 44 & 64.1357583137454 & -20.1357583137454 \tabularnewline
11 & 33 & 58.6398863850208 & -25.6398863850208 \tabularnewline
12 & 84 & 80.0927244702796 & 3.90727552972041 \tabularnewline
13 & 88 & 63.9225267449631 & 24.0774732550369 \tabularnewline
14 & 55 & 56.4114105119296 & -1.41141051192961 \tabularnewline
15 & 60 & 89.406279044176 & -29.406279044176 \tabularnewline
16 & 66 & 66.5157018934488 & -0.515701893448856 \tabularnewline
17 & 154 & 115.413140624994 & 38.5868593750058 \tabularnewline
18 & 53 & 74.4035517014251 & -21.4035517014251 \tabularnewline
19 & 119 & 85.3851516870033 & 33.6148483129967 \tabularnewline
20 & 41 & 46.444831738264 & -5.44483173826399 \tabularnewline
21 & 61 & 68.5543795046951 & -7.5543795046951 \tabularnewline
22 & 58 & 73.2808919964408 & -15.2808919964408 \tabularnewline
23 & 75 & 109.654289302584 & -34.654289302584 \tabularnewline
24 & 33 & 56.5061013673905 & -23.5061013673905 \tabularnewline
25 & 40 & 54.203391018901 & -14.203391018901 \tabularnewline
26 & 92 & 73.1667580088682 & 18.8332419911318 \tabularnewline
27 & 100 & 69.2937249236868 & 30.7062750763132 \tabularnewline
28 & 112 & 84.5871722394135 & 27.4128277605865 \tabularnewline
29 & 73 & 69.3760365942787 & 3.62396340572125 \tabularnewline
30 & 40 & 50.5045617026392 & -10.5045617026392 \tabularnewline
31 & 45 & 76.4972778985377 & -31.4972778985377 \tabularnewline
32 & 60 & 72.078538417978 & -12.078538417978 \tabularnewline
33 & 62 & 68.1136328494402 & -6.11363284944015 \tabularnewline
34 & 75 & 81.7436595925565 & -6.7436595925565 \tabularnewline
35 & 31 & 39.5451605138856 & -8.54516051388558 \tabularnewline
36 & 77 & 97.6962719809378 & -20.6962719809378 \tabularnewline
37 & 34 & 38.8036894191207 & -4.80368941912068 \tabularnewline
38 & 46 & 79.1403890920027 & -33.1403890920027 \tabularnewline
39 & 99 & 104.861025364187 & -5.86102536418691 \tabularnewline
40 & 17 & 12.2381409693531 & 4.76185903064688 \tabularnewline
41 & 66 & 61.8136902154504 & 4.18630978454957 \tabularnewline
42 & 30 & 39.258547453596 & -9.258547453596 \tabularnewline
43 & 76 & 47.3051256025845 & 28.6948743974155 \tabularnewline
44 & 146 & 89.7086792327162 & 56.2913207672838 \tabularnewline
45 & 67 & 100.362137922173 & -33.3621379221728 \tabularnewline
46 & 56 & 61.4744946976802 & -5.47449469768023 \tabularnewline
47 & 107 & 74.2032392843231 & 32.7967607156769 \tabularnewline
48 & 58 & 59.9913039305186 & -1.99130393051858 \tabularnewline
49 & 34 & 47.7201757476286 & -13.7201757476286 \tabularnewline
50 & 61 & 56.1859547981861 & 4.81404520181391 \tabularnewline
51 & 119 & 164.647932613581 & -45.6479326135811 \tabularnewline
52 & 42 & 39.4495987466833 & 2.55040125331674 \tabularnewline
53 & 66 & 65.2610613261223 & 0.738938673877686 \tabularnewline
54 & 89 & 103.994466358335 & -14.9944663583346 \tabularnewline
55 & 44 & 62.2598573943147 & -18.2598573943147 \tabularnewline
56 & 66 & 58.0897023518385 & 7.91029764816148 \tabularnewline
57 & 24 & 20.3124595255934 & 3.68754047440663 \tabularnewline
58 & 259 & 105.51650159976 & 153.48349840024 \tabularnewline
59 & 17 & 33.8560024021008 & -16.8560024021008 \tabularnewline
60 & 64 & 46.6745646397017 & 17.3254353602983 \tabularnewline
61 & 41 & 82.3772770743052 & -41.3772770743052 \tabularnewline
62 & 68 & 80.4894768695872 & -12.4894768695872 \tabularnewline
63 & 168 & 119.80979326584 & 48.1902067341601 \tabularnewline
64 & 43 & 45.1000789225303 & -2.10007892253026 \tabularnewline
65 & 132 & 87.2905693446042 & 44.7094306553958 \tabularnewline
66 & 105 & 81.880273910747 & 23.119726089253 \tabularnewline
67 & 71 & 76.289517419201 & -5.28951741920103 \tabularnewline
68 & 112 & 104.345995326075 & 7.65400467392521 \tabularnewline
69 & 94 & 86.7043693161449 & 7.29563068385505 \tabularnewline
70 & 82 & 77.6925543831334 & 4.30744561686662 \tabularnewline
71 & 70 & 77.7012799876227 & -7.70127998762268 \tabularnewline
72 & 57 & 69.2358546182917 & -12.2358546182917 \tabularnewline
73 & 53 & 57.2859553744839 & -4.28595537448387 \tabularnewline
74 & 103 & 54.9441042045232 & 48.0558957954768 \tabularnewline
75 & 121 & 74.3425838930444 & 46.6574161069556 \tabularnewline
76 & 62 & 65.9084160870457 & -3.90841608704571 \tabularnewline
77 & 52 & 44.0170432248477 & 7.98295677515228 \tabularnewline
78 & 52 & 73.215494794485 & -21.215494794485 \tabularnewline
79 & 32 & 41.4398137343512 & -9.43981373435118 \tabularnewline
80 & 62 & 72.9003444607003 & -10.9003444607003 \tabularnewline
81 & 45 & 64.1701403595715 & -19.1701403595715 \tabularnewline
82 & 46 & 52.2919398845106 & -6.29193988451063 \tabularnewline
83 & 63 & 89.9109505157724 & -26.9109505157724 \tabularnewline
84 & 75 & 80.5261894204011 & -5.52618942040109 \tabularnewline
85 & 88 & 63.4273098001963 & 24.5726901998037 \tabularnewline
86 & 46 & 49.6755188419632 & -3.6755188419632 \tabularnewline
87 & 53 & 58.9721505521209 & -5.9721505521209 \tabularnewline
88 & 37 & 49.6646328966946 & -12.6646328966946 \tabularnewline
89 & 90 & 110.821633097711 & -20.8216330977115 \tabularnewline
90 & 63 & 62.8679062827307 & 0.132093717269287 \tabularnewline
91 & 78 & 57.9776369885296 & 20.0223630114704 \tabularnewline
92 & 25 & 35.6314485522705 & -10.6314485522705 \tabularnewline
93 & 45 & 64.0331862930022 & -19.0331862930022 \tabularnewline
94 & 46 & 48.8832102112957 & -2.88321021129571 \tabularnewline
95 & 41 & 41.193694069326 & -0.19369406932601 \tabularnewline
96 & 144 & 114.130621152329 & 29.8693788476708 \tabularnewline
97 & 82 & 83.392849937198 & -1.39284993719799 \tabularnewline
98 & 91 & 62.2705633812178 & 28.7294366187822 \tabularnewline
99 & 71 & 72.3389484551805 & -1.33894845518047 \tabularnewline
100 & 63 & 59.9293484514493 & 3.07065154855073 \tabularnewline
101 & 53 & 58.9554126917767 & -5.95541269177674 \tabularnewline
102 & 62 & 81.093861670899 & -19.093861670899 \tabularnewline
103 & 63 & 88.672121716674 & -25.672121716674 \tabularnewline
104 & 32 & 59.3504483918945 & -27.3504483918945 \tabularnewline
105 & 39 & 61.5015136303516 & -22.5015136303516 \tabularnewline
106 & 62 & 70.4627432133385 & -8.46274321333849 \tabularnewline
107 & 117 & 99.2174961150242 & 17.7825038849758 \tabularnewline
108 & 34 & 40.4365679189868 & -6.43656791898681 \tabularnewline
109 & 92 & 103.608130009215 & -11.6081300092155 \tabularnewline
110 & 93 & 79.5598138279222 & 13.4401861720778 \tabularnewline
111 & 54 & 76.1484898539714 & -22.1484898539714 \tabularnewline
112 & 144 & 57.6165643189714 & 86.3834356810286 \tabularnewline
113 & 14 & 29.9132714699848 & -15.9132714699848 \tabularnewline
114 & 61 & 59.4670662476822 & 1.53293375231779 \tabularnewline
115 & 109 & 59.8681174915593 & 49.1318825084407 \tabularnewline
116 & 38 & 75.5923562871331 & -37.5923562871331 \tabularnewline
117 & 73 & 75.1163113703937 & -2.11631137039373 \tabularnewline
118 & 75 & 79.3986337110556 & -4.39863371105561 \tabularnewline
119 & 50 & 41.2910358073225 & 8.70896419267749 \tabularnewline
120 & 61 & 46.3619633892237 & 14.6380366107763 \tabularnewline
121 & 55 & 53.3947541076108 & 1.60524589238923 \tabularnewline
122 & 77 & 35.2458601134077 & 41.7541398865923 \tabularnewline
123 & 75 & 66.0837101866906 & 8.91628981330937 \tabularnewline
124 & 72 & 43.2624622610398 & 28.7375377389602 \tabularnewline
125 & 50 & 73.8982166544402 & -23.8982166544402 \tabularnewline
126 & 32 & 35.6152744871571 & -3.61527448715708 \tabularnewline
127 & 53 & 44.7281222906796 & 8.27187770932041 \tabularnewline
128 & 42 & 42.0823535618796 & -0.082353561879649 \tabularnewline
129 & 71 & 75.3771377353727 & -4.37713773537267 \tabularnewline
130 & 10 & 16.7988653341953 & -6.79886533419526 \tabularnewline
131 & 35 & 29.6911260199723 & 5.30887398002766 \tabularnewline
132 & 65 & 55.3278423602158 & 9.67215763978417 \tabularnewline
133 & 25 & 28.8210581579697 & -3.82105815796969 \tabularnewline
134 & 66 & 53.3007352039624 & 12.6992647960376 \tabularnewline
135 & 41 & 53.4147326961848 & -12.4147326961848 \tabularnewline
136 & 86 & 99.9583868911883 & -13.9583868911882 \tabularnewline
137 & 16 & 16.7926139773536 & -0.792613977353631 \tabularnewline
138 & 42 & 74.902907469136 & -32.902907469136 \tabularnewline
139 & 19 & 21.0822856763184 & -2.08228567631836 \tabularnewline
140 & 19 & 21.1723958715768 & -2.17239587157685 \tabularnewline
141 & 45 & 29.2874461786492 & 15.7125538213508 \tabularnewline
142 & 65 & 52.1959128802237 & 12.8040871197763 \tabularnewline
143 & 35 & 46.8308189678068 & -11.8308189678068 \tabularnewline
144 & 95 & 91.2707338577905 & 3.72926614220946 \tabularnewline
145 & 49 & 69.9125924851368 & -20.9125924851368 \tabularnewline
146 & 37 & 44.7786468489935 & -7.77864684899352 \tabularnewline
147 & 64 & 58.3188963802909 & 5.68110361970908 \tabularnewline
148 & 38 & 45.4555002433897 & -7.45550024338968 \tabularnewline
149 & 34 & 26.4932774078333 & 7.50672259216673 \tabularnewline
150 & 32 & 62.5822469025914 & -30.5822469025914 \tabularnewline
151 & 65 & 92.4528294387437 & -27.4528294387437 \tabularnewline
152 & 52 & 63.145647494783 & -11.145647494783 \tabularnewline
153 & 62 & 44.4146062679442 & 17.5853937320559 \tabularnewline
154 & 65 & 115.106739405584 & -50.1067394055837 \tabularnewline
155 & 83 & 81.5341118444798 & 1.46588815552021 \tabularnewline
156 & 95 & 112.374020773342 & -17.3740207733418 \tabularnewline
157 & 29 & 55.9345341476539 & -26.9345341476539 \tabularnewline
158 & 18 & 47.5802347404727 & -29.5802347404727 \tabularnewline
159 & 33 & 40.8075204119875 & -7.80752041198754 \tabularnewline
160 & 247 & 84.9669928976103 & 162.03300710239 \tabularnewline
161 & 139 & 124.302231918889 & 14.6977680811109 \tabularnewline
162 & 29 & 48.5624283477714 & -19.5624283477714 \tabularnewline
163 & 118 & 49.6404746856373 & 68.3595253143627 \tabularnewline
164 & 110 & 116.838045177002 & -6.83804517700194 \tabularnewline
165 & 67 & 57.7987405541549 & 9.20125944584511 \tabularnewline
166 & 42 & 66.8323693217321 & -24.8323693217321 \tabularnewline
167 & 65 & 66.7129387948141 & -1.71293879481409 \tabularnewline
168 & 94 & 57.8307941287531 & 36.1692058712469 \tabularnewline
169 & 64 & 41.2317709933097 & 22.7682290066903 \tabularnewline
170 & 81 & 81.919860875706 & -0.919860875705991 \tabularnewline
171 & 95 & 114.022147254715 & -19.0221472547149 \tabularnewline
172 & 67 & 63.8654991265145 & 3.13450087348555 \tabularnewline
173 & 63 & 67.464550272241 & -4.46455027224097 \tabularnewline
174 & 83 & 85.6627892742322 & -2.66278927423218 \tabularnewline
175 & 45 & 46.3570954718467 & -1.35709547184673 \tabularnewline
176 & 30 & 58.7915359984418 & -28.7915359984418 \tabularnewline
177 & 70 & 74.5212043035931 & -4.52120430359311 \tabularnewline
178 & 32 & 41.364612793359 & -9.36461279335902 \tabularnewline
179 & 83 & 70.8163841932281 & 12.1836158067719 \tabularnewline
180 & 31 & 52.6641055552873 & -21.6641055552873 \tabularnewline
181 & 67 & 39.2999896697638 & 27.7000103302362 \tabularnewline
182 & 66 & 42.0528026261335 & 23.9471973738665 \tabularnewline
183 & 10 & 13.7962930295483 & -3.7962930295483 \tabularnewline
184 & 70 & 66.5957382344088 & 3.40426176559115 \tabularnewline
185 & 103 & 91.1179528134809 & 11.8820471865191 \tabularnewline
186 & 5 & 11.6419585458099 & -6.64195854580994 \tabularnewline
187 & 20 & 25.2203151128324 & -5.2203151128324 \tabularnewline
188 & 5 & 14.7635600540082 & -9.76356005400818 \tabularnewline
189 & 36 & 54.2799830237616 & -18.2799830237616 \tabularnewline
190 & 34 & 40.9581476668486 & -6.95814766684855 \tabularnewline
191 & 48 & 55.1931082912223 & -7.19310829122228 \tabularnewline
192 & 40 & 45.8664358129788 & -5.86643581297883 \tabularnewline
193 & 43 & 42.3063848711636 & 0.693615128836414 \tabularnewline
194 & 31 & 46.9461976412615 & -15.9461976412615 \tabularnewline
195 & 42 & 53.778514612457 & -11.778514612457 \tabularnewline
196 & 46 & 47.8915277507059 & -1.89152775070591 \tabularnewline
197 & 33 & 39.1492423009762 & -6.14924230097619 \tabularnewline
198 & 18 & 31.9598465178219 & -13.9598465178219 \tabularnewline
199 & 55 & 47.6092014205263 & 7.39079857947367 \tabularnewline
200 & 35 & 33.0885415391466 & 1.91145846085344 \tabularnewline
201 & 59 & 34.2161953777893 & 24.7838046222106 \tabularnewline
202 & 19 & 26.8783385998751 & -7.87833859987505 \tabularnewline
203 & 66 & 54.295726632742 & 11.704273367258 \tabularnewline
204 & 60 & 48.7708013587574 & 11.2291986412426 \tabularnewline
205 & 36 & 50.7653133111137 & -14.7653133111137 \tabularnewline
206 & 25 & 27.5814044347292 & -2.58140443472924 \tabularnewline
207 & 47 & 35.408441502147 & 11.591558497853 \tabularnewline
208 & 54 & 66.9463900369187 & -12.9463900369187 \tabularnewline
209 & 53 & 51.4123745938601 & 1.58762540613993 \tabularnewline
210 & 40 & 49.8378876603424 & -9.83788766034243 \tabularnewline
211 & 40 & 42.1520454668244 & -2.15204546682444 \tabularnewline
212 & 39 & 45.831859242404 & -6.83185924240399 \tabularnewline
213 & 14 & 29.4155892780597 & -15.4155892780597 \tabularnewline
214 & 45 & 34.5798975443914 & 10.4201024556086 \tabularnewline
215 & 36 & 41.008117393647 & -5.008117393647 \tabularnewline
216 & 28 & 33.7527644601405 & -5.75276446014048 \tabularnewline
217 & 44 & 35.9810852699293 & 8.0189147300707 \tabularnewline
218 & 30 & 34.931278298982 & -4.93127829898196 \tabularnewline
219 & 22 & 32.6052999510946 & -10.6052999510946 \tabularnewline
220 & 17 & 35.1987755619989 & -18.1987755619989 \tabularnewline
221 & 31 & 36.4162707172151 & -5.4162707172151 \tabularnewline
222 & 55 & 49.2974484715668 & 5.70255152843318 \tabularnewline
223 & 54 & 52.0316308827488 & 1.96836911725125 \tabularnewline
224 & 21 & 32.173354773663 & -11.173354773663 \tabularnewline
225 & 14 & 23.1490433292992 & -9.14904332929921 \tabularnewline
226 & 81 & 58.4573591787595 & 22.5426408212405 \tabularnewline
227 & 35 & 33.4917754837936 & 1.50822451620644 \tabularnewline
228 & 43 & 33.4158977077402 & 9.58410229225975 \tabularnewline
229 & 46 & 33.1602529294796 & 12.8397470705204 \tabularnewline
230 & 30 & 40.3067304886367 & -10.3067304886367 \tabularnewline
231 & 23 & 26.5439170172256 & -3.54391701722557 \tabularnewline
232 & 38 & 37.0300490151935 & 0.969950984806499 \tabularnewline
233 & 54 & 43.9285076941816 & 10.0714923058184 \tabularnewline
234 & 20 & 30.4611593648307 & -10.4611593648307 \tabularnewline
235 & 53 & 37.041696974315 & 15.958303025685 \tabularnewline
236 & 45 & 27.4412810198358 & 17.5587189801642 \tabularnewline
237 & 39 & 58.0780712299917 & -19.0780712299917 \tabularnewline
238 & 20 & 27.7581064136363 & -7.75810641363627 \tabularnewline
239 & 24 & 39.3653940715908 & -15.3653940715908 \tabularnewline
240 & 31 & 26.4606836903189 & 4.53931630968109 \tabularnewline
241 & 35 & 41.7452669486432 & -6.74526694864319 \tabularnewline
242 & 151 & 53.7922281074624 & 97.2077718925376 \tabularnewline
243 & 52 & 27.944870949259 & 24.055129050741 \tabularnewline
244 & 30 & 28.5476304912163 & 1.4523695087837 \tabularnewline
245 & 31 & 34.7024231334407 & -3.70242313344068 \tabularnewline
246 & 29 & 40.3410056083603 & -11.3410056083603 \tabularnewline
247 & 57 & 46.1911241437672 & 10.8088758562328 \tabularnewline
248 & 40 & 37.9230411732122 & 2.07695882678783 \tabularnewline
249 & 44 & 39.5521287189797 & 4.44787128102027 \tabularnewline
250 & 25 & 22.1460717135293 & 2.85392828647074 \tabularnewline
251 & 77 & 62.8267054126297 & 14.1732945873703 \tabularnewline
252 & 35 & 42.406089624936 & -7.40608962493597 \tabularnewline
253 & 11 & 14.2858834875792 & -3.28588348757918 \tabularnewline
254 & 63 & 48.2992260125235 & 14.7007739874765 \tabularnewline
255 & 44 & 42.4394424454701 & 1.56055755452992 \tabularnewline
256 & 19 & 20.5466875919902 & -1.54668759199018 \tabularnewline
257 & 13 & 20.3199574661644 & -7.31995746616443 \tabularnewline
258 & 42 & 39.8845098452251 & 2.11549015477492 \tabularnewline
259 & 38 & 30.5715378012887 & 7.4284621987113 \tabularnewline
260 & 29 & 21.8775582306201 & 7.12244176937986 \tabularnewline
261 & 20 & 25.4155246102056 & -5.41552461020561 \tabularnewline
262 & 27 & 35.1197853631653 & -8.11978536316529 \tabularnewline
263 & 20 & 21.6487474011002 & -1.64874740110022 \tabularnewline
264 & 19 & 26.8140323856082 & -7.81403238560816 \tabularnewline
265 & 37 & 27.8536996932721 & 9.14630030672785 \tabularnewline
266 & 26 & 35.3674409368353 & -9.36744093683532 \tabularnewline
267 & 42 & 32.3662575037544 & 9.63374249624555 \tabularnewline
268 & 49 & 29.1263096775367 & 19.8736903224633 \tabularnewline
269 & 30 & 43.2735325950033 & -13.2735325950033 \tabularnewline
270 & 49 & 36.5780630180231 & 12.4219369819769 \tabularnewline
271 & 67 & 49.9187915543457 & 17.0812084456543 \tabularnewline
272 & 28 & 33.8875675848438 & -5.88756758484378 \tabularnewline
273 & 19 & 28.2272069013024 & -9.22720690130241 \tabularnewline
274 & 49 & 43.4656636688307 & 5.53433633116926 \tabularnewline
275 & 27 & 28.2967327948297 & -1.29673279482966 \tabularnewline
276 & 30 & 36.5716793892064 & -6.57167938920639 \tabularnewline
277 & 22 & 29.2856584301152 & -7.28565843011515 \tabularnewline
278 & 12 & 15.8977632711583 & -3.89776327115831 \tabularnewline
279 & 31 & 38.9374018220444 & -7.93740182204443 \tabularnewline
280 & 20 & 37.8927188275671 & -17.8927188275671 \tabularnewline
281 & 20 & 38.3362587378733 & -18.3362587378733 \tabularnewline
282 & 39 & 37.0517744278129 & 1.94822557218713 \tabularnewline
283 & 29 & 41.9469336251313 & -12.9469336251313 \tabularnewline
284 & 16 & 24.1885252341042 & -8.18852523410424 \tabularnewline
285 & 27 & 32.9020267991868 & -5.90202679918683 \tabularnewline
286 & 21 & 27.9113791647123 & -6.91137916471225 \tabularnewline
287 & 19 & 30.1083217677217 & -11.1083217677217 \tabularnewline
288 & 35 & 29.9930762082248 & 5.00692379177523 \tabularnewline
289 & 14 & 37.0716347858029 & -23.0716347858029 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199777&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]56[/C][C]68.2942599967269[/C][C]-12.2942599967269[/C][/ROW]
[ROW][C]2[/C][C]56[/C][C]47.3502610802847[/C][C]8.64973891971528[/C][/ROW]
[ROW][C]3[/C][C]54[/C][C]70.3839535611256[/C][C]-16.3839535611256[/C][/ROW]
[ROW][C]4[/C][C]89[/C][C]75.2158445685939[/C][C]13.7841554314061[/C][/ROW]
[ROW][C]5[/C][C]40[/C][C]42.7610905707803[/C][C]-2.76109057078027[/C][/ROW]
[ROW][C]6[/C][C]25[/C][C]32.5191038387103[/C][C]-7.5191038387103[/C][/ROW]
[ROW][C]7[/C][C]92[/C][C]127.878817508047[/C][C]-35.878817508047[/C][/ROW]
[ROW][C]8[/C][C]18[/C][C]24.5253970458275[/C][C]-6.52539704582746[/C][/ROW]
[ROW][C]9[/C][C]63[/C][C]45.1715409033273[/C][C]17.8284590966727[/C][/ROW]
[ROW][C]10[/C][C]44[/C][C]64.1357583137454[/C][C]-20.1357583137454[/C][/ROW]
[ROW][C]11[/C][C]33[/C][C]58.6398863850208[/C][C]-25.6398863850208[/C][/ROW]
[ROW][C]12[/C][C]84[/C][C]80.0927244702796[/C][C]3.90727552972041[/C][/ROW]
[ROW][C]13[/C][C]88[/C][C]63.9225267449631[/C][C]24.0774732550369[/C][/ROW]
[ROW][C]14[/C][C]55[/C][C]56.4114105119296[/C][C]-1.41141051192961[/C][/ROW]
[ROW][C]15[/C][C]60[/C][C]89.406279044176[/C][C]-29.406279044176[/C][/ROW]
[ROW][C]16[/C][C]66[/C][C]66.5157018934488[/C][C]-0.515701893448856[/C][/ROW]
[ROW][C]17[/C][C]154[/C][C]115.413140624994[/C][C]38.5868593750058[/C][/ROW]
[ROW][C]18[/C][C]53[/C][C]74.4035517014251[/C][C]-21.4035517014251[/C][/ROW]
[ROW][C]19[/C][C]119[/C][C]85.3851516870033[/C][C]33.6148483129967[/C][/ROW]
[ROW][C]20[/C][C]41[/C][C]46.444831738264[/C][C]-5.44483173826399[/C][/ROW]
[ROW][C]21[/C][C]61[/C][C]68.5543795046951[/C][C]-7.5543795046951[/C][/ROW]
[ROW][C]22[/C][C]58[/C][C]73.2808919964408[/C][C]-15.2808919964408[/C][/ROW]
[ROW][C]23[/C][C]75[/C][C]109.654289302584[/C][C]-34.654289302584[/C][/ROW]
[ROW][C]24[/C][C]33[/C][C]56.5061013673905[/C][C]-23.5061013673905[/C][/ROW]
[ROW][C]25[/C][C]40[/C][C]54.203391018901[/C][C]-14.203391018901[/C][/ROW]
[ROW][C]26[/C][C]92[/C][C]73.1667580088682[/C][C]18.8332419911318[/C][/ROW]
[ROW][C]27[/C][C]100[/C][C]69.2937249236868[/C][C]30.7062750763132[/C][/ROW]
[ROW][C]28[/C][C]112[/C][C]84.5871722394135[/C][C]27.4128277605865[/C][/ROW]
[ROW][C]29[/C][C]73[/C][C]69.3760365942787[/C][C]3.62396340572125[/C][/ROW]
[ROW][C]30[/C][C]40[/C][C]50.5045617026392[/C][C]-10.5045617026392[/C][/ROW]
[ROW][C]31[/C][C]45[/C][C]76.4972778985377[/C][C]-31.4972778985377[/C][/ROW]
[ROW][C]32[/C][C]60[/C][C]72.078538417978[/C][C]-12.078538417978[/C][/ROW]
[ROW][C]33[/C][C]62[/C][C]68.1136328494402[/C][C]-6.11363284944015[/C][/ROW]
[ROW][C]34[/C][C]75[/C][C]81.7436595925565[/C][C]-6.7436595925565[/C][/ROW]
[ROW][C]35[/C][C]31[/C][C]39.5451605138856[/C][C]-8.54516051388558[/C][/ROW]
[ROW][C]36[/C][C]77[/C][C]97.6962719809378[/C][C]-20.6962719809378[/C][/ROW]
[ROW][C]37[/C][C]34[/C][C]38.8036894191207[/C][C]-4.80368941912068[/C][/ROW]
[ROW][C]38[/C][C]46[/C][C]79.1403890920027[/C][C]-33.1403890920027[/C][/ROW]
[ROW][C]39[/C][C]99[/C][C]104.861025364187[/C][C]-5.86102536418691[/C][/ROW]
[ROW][C]40[/C][C]17[/C][C]12.2381409693531[/C][C]4.76185903064688[/C][/ROW]
[ROW][C]41[/C][C]66[/C][C]61.8136902154504[/C][C]4.18630978454957[/C][/ROW]
[ROW][C]42[/C][C]30[/C][C]39.258547453596[/C][C]-9.258547453596[/C][/ROW]
[ROW][C]43[/C][C]76[/C][C]47.3051256025845[/C][C]28.6948743974155[/C][/ROW]
[ROW][C]44[/C][C]146[/C][C]89.7086792327162[/C][C]56.2913207672838[/C][/ROW]
[ROW][C]45[/C][C]67[/C][C]100.362137922173[/C][C]-33.3621379221728[/C][/ROW]
[ROW][C]46[/C][C]56[/C][C]61.4744946976802[/C][C]-5.47449469768023[/C][/ROW]
[ROW][C]47[/C][C]107[/C][C]74.2032392843231[/C][C]32.7967607156769[/C][/ROW]
[ROW][C]48[/C][C]58[/C][C]59.9913039305186[/C][C]-1.99130393051858[/C][/ROW]
[ROW][C]49[/C][C]34[/C][C]47.7201757476286[/C][C]-13.7201757476286[/C][/ROW]
[ROW][C]50[/C][C]61[/C][C]56.1859547981861[/C][C]4.81404520181391[/C][/ROW]
[ROW][C]51[/C][C]119[/C][C]164.647932613581[/C][C]-45.6479326135811[/C][/ROW]
[ROW][C]52[/C][C]42[/C][C]39.4495987466833[/C][C]2.55040125331674[/C][/ROW]
[ROW][C]53[/C][C]66[/C][C]65.2610613261223[/C][C]0.738938673877686[/C][/ROW]
[ROW][C]54[/C][C]89[/C][C]103.994466358335[/C][C]-14.9944663583346[/C][/ROW]
[ROW][C]55[/C][C]44[/C][C]62.2598573943147[/C][C]-18.2598573943147[/C][/ROW]
[ROW][C]56[/C][C]66[/C][C]58.0897023518385[/C][C]7.91029764816148[/C][/ROW]
[ROW][C]57[/C][C]24[/C][C]20.3124595255934[/C][C]3.68754047440663[/C][/ROW]
[ROW][C]58[/C][C]259[/C][C]105.51650159976[/C][C]153.48349840024[/C][/ROW]
[ROW][C]59[/C][C]17[/C][C]33.8560024021008[/C][C]-16.8560024021008[/C][/ROW]
[ROW][C]60[/C][C]64[/C][C]46.6745646397017[/C][C]17.3254353602983[/C][/ROW]
[ROW][C]61[/C][C]41[/C][C]82.3772770743052[/C][C]-41.3772770743052[/C][/ROW]
[ROW][C]62[/C][C]68[/C][C]80.4894768695872[/C][C]-12.4894768695872[/C][/ROW]
[ROW][C]63[/C][C]168[/C][C]119.80979326584[/C][C]48.1902067341601[/C][/ROW]
[ROW][C]64[/C][C]43[/C][C]45.1000789225303[/C][C]-2.10007892253026[/C][/ROW]
[ROW][C]65[/C][C]132[/C][C]87.2905693446042[/C][C]44.7094306553958[/C][/ROW]
[ROW][C]66[/C][C]105[/C][C]81.880273910747[/C][C]23.119726089253[/C][/ROW]
[ROW][C]67[/C][C]71[/C][C]76.289517419201[/C][C]-5.28951741920103[/C][/ROW]
[ROW][C]68[/C][C]112[/C][C]104.345995326075[/C][C]7.65400467392521[/C][/ROW]
[ROW][C]69[/C][C]94[/C][C]86.7043693161449[/C][C]7.29563068385505[/C][/ROW]
[ROW][C]70[/C][C]82[/C][C]77.6925543831334[/C][C]4.30744561686662[/C][/ROW]
[ROW][C]71[/C][C]70[/C][C]77.7012799876227[/C][C]-7.70127998762268[/C][/ROW]
[ROW][C]72[/C][C]57[/C][C]69.2358546182917[/C][C]-12.2358546182917[/C][/ROW]
[ROW][C]73[/C][C]53[/C][C]57.2859553744839[/C][C]-4.28595537448387[/C][/ROW]
[ROW][C]74[/C][C]103[/C][C]54.9441042045232[/C][C]48.0558957954768[/C][/ROW]
[ROW][C]75[/C][C]121[/C][C]74.3425838930444[/C][C]46.6574161069556[/C][/ROW]
[ROW][C]76[/C][C]62[/C][C]65.9084160870457[/C][C]-3.90841608704571[/C][/ROW]
[ROW][C]77[/C][C]52[/C][C]44.0170432248477[/C][C]7.98295677515228[/C][/ROW]
[ROW][C]78[/C][C]52[/C][C]73.215494794485[/C][C]-21.215494794485[/C][/ROW]
[ROW][C]79[/C][C]32[/C][C]41.4398137343512[/C][C]-9.43981373435118[/C][/ROW]
[ROW][C]80[/C][C]62[/C][C]72.9003444607003[/C][C]-10.9003444607003[/C][/ROW]
[ROW][C]81[/C][C]45[/C][C]64.1701403595715[/C][C]-19.1701403595715[/C][/ROW]
[ROW][C]82[/C][C]46[/C][C]52.2919398845106[/C][C]-6.29193988451063[/C][/ROW]
[ROW][C]83[/C][C]63[/C][C]89.9109505157724[/C][C]-26.9109505157724[/C][/ROW]
[ROW][C]84[/C][C]75[/C][C]80.5261894204011[/C][C]-5.52618942040109[/C][/ROW]
[ROW][C]85[/C][C]88[/C][C]63.4273098001963[/C][C]24.5726901998037[/C][/ROW]
[ROW][C]86[/C][C]46[/C][C]49.6755188419632[/C][C]-3.6755188419632[/C][/ROW]
[ROW][C]87[/C][C]53[/C][C]58.9721505521209[/C][C]-5.9721505521209[/C][/ROW]
[ROW][C]88[/C][C]37[/C][C]49.6646328966946[/C][C]-12.6646328966946[/C][/ROW]
[ROW][C]89[/C][C]90[/C][C]110.821633097711[/C][C]-20.8216330977115[/C][/ROW]
[ROW][C]90[/C][C]63[/C][C]62.8679062827307[/C][C]0.132093717269287[/C][/ROW]
[ROW][C]91[/C][C]78[/C][C]57.9776369885296[/C][C]20.0223630114704[/C][/ROW]
[ROW][C]92[/C][C]25[/C][C]35.6314485522705[/C][C]-10.6314485522705[/C][/ROW]
[ROW][C]93[/C][C]45[/C][C]64.0331862930022[/C][C]-19.0331862930022[/C][/ROW]
[ROW][C]94[/C][C]46[/C][C]48.8832102112957[/C][C]-2.88321021129571[/C][/ROW]
[ROW][C]95[/C][C]41[/C][C]41.193694069326[/C][C]-0.19369406932601[/C][/ROW]
[ROW][C]96[/C][C]144[/C][C]114.130621152329[/C][C]29.8693788476708[/C][/ROW]
[ROW][C]97[/C][C]82[/C][C]83.392849937198[/C][C]-1.39284993719799[/C][/ROW]
[ROW][C]98[/C][C]91[/C][C]62.2705633812178[/C][C]28.7294366187822[/C][/ROW]
[ROW][C]99[/C][C]71[/C][C]72.3389484551805[/C][C]-1.33894845518047[/C][/ROW]
[ROW][C]100[/C][C]63[/C][C]59.9293484514493[/C][C]3.07065154855073[/C][/ROW]
[ROW][C]101[/C][C]53[/C][C]58.9554126917767[/C][C]-5.95541269177674[/C][/ROW]
[ROW][C]102[/C][C]62[/C][C]81.093861670899[/C][C]-19.093861670899[/C][/ROW]
[ROW][C]103[/C][C]63[/C][C]88.672121716674[/C][C]-25.672121716674[/C][/ROW]
[ROW][C]104[/C][C]32[/C][C]59.3504483918945[/C][C]-27.3504483918945[/C][/ROW]
[ROW][C]105[/C][C]39[/C][C]61.5015136303516[/C][C]-22.5015136303516[/C][/ROW]
[ROW][C]106[/C][C]62[/C][C]70.4627432133385[/C][C]-8.46274321333849[/C][/ROW]
[ROW][C]107[/C][C]117[/C][C]99.2174961150242[/C][C]17.7825038849758[/C][/ROW]
[ROW][C]108[/C][C]34[/C][C]40.4365679189868[/C][C]-6.43656791898681[/C][/ROW]
[ROW][C]109[/C][C]92[/C][C]103.608130009215[/C][C]-11.6081300092155[/C][/ROW]
[ROW][C]110[/C][C]93[/C][C]79.5598138279222[/C][C]13.4401861720778[/C][/ROW]
[ROW][C]111[/C][C]54[/C][C]76.1484898539714[/C][C]-22.1484898539714[/C][/ROW]
[ROW][C]112[/C][C]144[/C][C]57.6165643189714[/C][C]86.3834356810286[/C][/ROW]
[ROW][C]113[/C][C]14[/C][C]29.9132714699848[/C][C]-15.9132714699848[/C][/ROW]
[ROW][C]114[/C][C]61[/C][C]59.4670662476822[/C][C]1.53293375231779[/C][/ROW]
[ROW][C]115[/C][C]109[/C][C]59.8681174915593[/C][C]49.1318825084407[/C][/ROW]
[ROW][C]116[/C][C]38[/C][C]75.5923562871331[/C][C]-37.5923562871331[/C][/ROW]
[ROW][C]117[/C][C]73[/C][C]75.1163113703937[/C][C]-2.11631137039373[/C][/ROW]
[ROW][C]118[/C][C]75[/C][C]79.3986337110556[/C][C]-4.39863371105561[/C][/ROW]
[ROW][C]119[/C][C]50[/C][C]41.2910358073225[/C][C]8.70896419267749[/C][/ROW]
[ROW][C]120[/C][C]61[/C][C]46.3619633892237[/C][C]14.6380366107763[/C][/ROW]
[ROW][C]121[/C][C]55[/C][C]53.3947541076108[/C][C]1.60524589238923[/C][/ROW]
[ROW][C]122[/C][C]77[/C][C]35.2458601134077[/C][C]41.7541398865923[/C][/ROW]
[ROW][C]123[/C][C]75[/C][C]66.0837101866906[/C][C]8.91628981330937[/C][/ROW]
[ROW][C]124[/C][C]72[/C][C]43.2624622610398[/C][C]28.7375377389602[/C][/ROW]
[ROW][C]125[/C][C]50[/C][C]73.8982166544402[/C][C]-23.8982166544402[/C][/ROW]
[ROW][C]126[/C][C]32[/C][C]35.6152744871571[/C][C]-3.61527448715708[/C][/ROW]
[ROW][C]127[/C][C]53[/C][C]44.7281222906796[/C][C]8.27187770932041[/C][/ROW]
[ROW][C]128[/C][C]42[/C][C]42.0823535618796[/C][C]-0.082353561879649[/C][/ROW]
[ROW][C]129[/C][C]71[/C][C]75.3771377353727[/C][C]-4.37713773537267[/C][/ROW]
[ROW][C]130[/C][C]10[/C][C]16.7988653341953[/C][C]-6.79886533419526[/C][/ROW]
[ROW][C]131[/C][C]35[/C][C]29.6911260199723[/C][C]5.30887398002766[/C][/ROW]
[ROW][C]132[/C][C]65[/C][C]55.3278423602158[/C][C]9.67215763978417[/C][/ROW]
[ROW][C]133[/C][C]25[/C][C]28.8210581579697[/C][C]-3.82105815796969[/C][/ROW]
[ROW][C]134[/C][C]66[/C][C]53.3007352039624[/C][C]12.6992647960376[/C][/ROW]
[ROW][C]135[/C][C]41[/C][C]53.4147326961848[/C][C]-12.4147326961848[/C][/ROW]
[ROW][C]136[/C][C]86[/C][C]99.9583868911883[/C][C]-13.9583868911882[/C][/ROW]
[ROW][C]137[/C][C]16[/C][C]16.7926139773536[/C][C]-0.792613977353631[/C][/ROW]
[ROW][C]138[/C][C]42[/C][C]74.902907469136[/C][C]-32.902907469136[/C][/ROW]
[ROW][C]139[/C][C]19[/C][C]21.0822856763184[/C][C]-2.08228567631836[/C][/ROW]
[ROW][C]140[/C][C]19[/C][C]21.1723958715768[/C][C]-2.17239587157685[/C][/ROW]
[ROW][C]141[/C][C]45[/C][C]29.2874461786492[/C][C]15.7125538213508[/C][/ROW]
[ROW][C]142[/C][C]65[/C][C]52.1959128802237[/C][C]12.8040871197763[/C][/ROW]
[ROW][C]143[/C][C]35[/C][C]46.8308189678068[/C][C]-11.8308189678068[/C][/ROW]
[ROW][C]144[/C][C]95[/C][C]91.2707338577905[/C][C]3.72926614220946[/C][/ROW]
[ROW][C]145[/C][C]49[/C][C]69.9125924851368[/C][C]-20.9125924851368[/C][/ROW]
[ROW][C]146[/C][C]37[/C][C]44.7786468489935[/C][C]-7.77864684899352[/C][/ROW]
[ROW][C]147[/C][C]64[/C][C]58.3188963802909[/C][C]5.68110361970908[/C][/ROW]
[ROW][C]148[/C][C]38[/C][C]45.4555002433897[/C][C]-7.45550024338968[/C][/ROW]
[ROW][C]149[/C][C]34[/C][C]26.4932774078333[/C][C]7.50672259216673[/C][/ROW]
[ROW][C]150[/C][C]32[/C][C]62.5822469025914[/C][C]-30.5822469025914[/C][/ROW]
[ROW][C]151[/C][C]65[/C][C]92.4528294387437[/C][C]-27.4528294387437[/C][/ROW]
[ROW][C]152[/C][C]52[/C][C]63.145647494783[/C][C]-11.145647494783[/C][/ROW]
[ROW][C]153[/C][C]62[/C][C]44.4146062679442[/C][C]17.5853937320559[/C][/ROW]
[ROW][C]154[/C][C]65[/C][C]115.106739405584[/C][C]-50.1067394055837[/C][/ROW]
[ROW][C]155[/C][C]83[/C][C]81.5341118444798[/C][C]1.46588815552021[/C][/ROW]
[ROW][C]156[/C][C]95[/C][C]112.374020773342[/C][C]-17.3740207733418[/C][/ROW]
[ROW][C]157[/C][C]29[/C][C]55.9345341476539[/C][C]-26.9345341476539[/C][/ROW]
[ROW][C]158[/C][C]18[/C][C]47.5802347404727[/C][C]-29.5802347404727[/C][/ROW]
[ROW][C]159[/C][C]33[/C][C]40.8075204119875[/C][C]-7.80752041198754[/C][/ROW]
[ROW][C]160[/C][C]247[/C][C]84.9669928976103[/C][C]162.03300710239[/C][/ROW]
[ROW][C]161[/C][C]139[/C][C]124.302231918889[/C][C]14.6977680811109[/C][/ROW]
[ROW][C]162[/C][C]29[/C][C]48.5624283477714[/C][C]-19.5624283477714[/C][/ROW]
[ROW][C]163[/C][C]118[/C][C]49.6404746856373[/C][C]68.3595253143627[/C][/ROW]
[ROW][C]164[/C][C]110[/C][C]116.838045177002[/C][C]-6.83804517700194[/C][/ROW]
[ROW][C]165[/C][C]67[/C][C]57.7987405541549[/C][C]9.20125944584511[/C][/ROW]
[ROW][C]166[/C][C]42[/C][C]66.8323693217321[/C][C]-24.8323693217321[/C][/ROW]
[ROW][C]167[/C][C]65[/C][C]66.7129387948141[/C][C]-1.71293879481409[/C][/ROW]
[ROW][C]168[/C][C]94[/C][C]57.8307941287531[/C][C]36.1692058712469[/C][/ROW]
[ROW][C]169[/C][C]64[/C][C]41.2317709933097[/C][C]22.7682290066903[/C][/ROW]
[ROW][C]170[/C][C]81[/C][C]81.919860875706[/C][C]-0.919860875705991[/C][/ROW]
[ROW][C]171[/C][C]95[/C][C]114.022147254715[/C][C]-19.0221472547149[/C][/ROW]
[ROW][C]172[/C][C]67[/C][C]63.8654991265145[/C][C]3.13450087348555[/C][/ROW]
[ROW][C]173[/C][C]63[/C][C]67.464550272241[/C][C]-4.46455027224097[/C][/ROW]
[ROW][C]174[/C][C]83[/C][C]85.6627892742322[/C][C]-2.66278927423218[/C][/ROW]
[ROW][C]175[/C][C]45[/C][C]46.3570954718467[/C][C]-1.35709547184673[/C][/ROW]
[ROW][C]176[/C][C]30[/C][C]58.7915359984418[/C][C]-28.7915359984418[/C][/ROW]
[ROW][C]177[/C][C]70[/C][C]74.5212043035931[/C][C]-4.52120430359311[/C][/ROW]
[ROW][C]178[/C][C]32[/C][C]41.364612793359[/C][C]-9.36461279335902[/C][/ROW]
[ROW][C]179[/C][C]83[/C][C]70.8163841932281[/C][C]12.1836158067719[/C][/ROW]
[ROW][C]180[/C][C]31[/C][C]52.6641055552873[/C][C]-21.6641055552873[/C][/ROW]
[ROW][C]181[/C][C]67[/C][C]39.2999896697638[/C][C]27.7000103302362[/C][/ROW]
[ROW][C]182[/C][C]66[/C][C]42.0528026261335[/C][C]23.9471973738665[/C][/ROW]
[ROW][C]183[/C][C]10[/C][C]13.7962930295483[/C][C]-3.7962930295483[/C][/ROW]
[ROW][C]184[/C][C]70[/C][C]66.5957382344088[/C][C]3.40426176559115[/C][/ROW]
[ROW][C]185[/C][C]103[/C][C]91.1179528134809[/C][C]11.8820471865191[/C][/ROW]
[ROW][C]186[/C][C]5[/C][C]11.6419585458099[/C][C]-6.64195854580994[/C][/ROW]
[ROW][C]187[/C][C]20[/C][C]25.2203151128324[/C][C]-5.2203151128324[/C][/ROW]
[ROW][C]188[/C][C]5[/C][C]14.7635600540082[/C][C]-9.76356005400818[/C][/ROW]
[ROW][C]189[/C][C]36[/C][C]54.2799830237616[/C][C]-18.2799830237616[/C][/ROW]
[ROW][C]190[/C][C]34[/C][C]40.9581476668486[/C][C]-6.95814766684855[/C][/ROW]
[ROW][C]191[/C][C]48[/C][C]55.1931082912223[/C][C]-7.19310829122228[/C][/ROW]
[ROW][C]192[/C][C]40[/C][C]45.8664358129788[/C][C]-5.86643581297883[/C][/ROW]
[ROW][C]193[/C][C]43[/C][C]42.3063848711636[/C][C]0.693615128836414[/C][/ROW]
[ROW][C]194[/C][C]31[/C][C]46.9461976412615[/C][C]-15.9461976412615[/C][/ROW]
[ROW][C]195[/C][C]42[/C][C]53.778514612457[/C][C]-11.778514612457[/C][/ROW]
[ROW][C]196[/C][C]46[/C][C]47.8915277507059[/C][C]-1.89152775070591[/C][/ROW]
[ROW][C]197[/C][C]33[/C][C]39.1492423009762[/C][C]-6.14924230097619[/C][/ROW]
[ROW][C]198[/C][C]18[/C][C]31.9598465178219[/C][C]-13.9598465178219[/C][/ROW]
[ROW][C]199[/C][C]55[/C][C]47.6092014205263[/C][C]7.39079857947367[/C][/ROW]
[ROW][C]200[/C][C]35[/C][C]33.0885415391466[/C][C]1.91145846085344[/C][/ROW]
[ROW][C]201[/C][C]59[/C][C]34.2161953777893[/C][C]24.7838046222106[/C][/ROW]
[ROW][C]202[/C][C]19[/C][C]26.8783385998751[/C][C]-7.87833859987505[/C][/ROW]
[ROW][C]203[/C][C]66[/C][C]54.295726632742[/C][C]11.704273367258[/C][/ROW]
[ROW][C]204[/C][C]60[/C][C]48.7708013587574[/C][C]11.2291986412426[/C][/ROW]
[ROW][C]205[/C][C]36[/C][C]50.7653133111137[/C][C]-14.7653133111137[/C][/ROW]
[ROW][C]206[/C][C]25[/C][C]27.5814044347292[/C][C]-2.58140443472924[/C][/ROW]
[ROW][C]207[/C][C]47[/C][C]35.408441502147[/C][C]11.591558497853[/C][/ROW]
[ROW][C]208[/C][C]54[/C][C]66.9463900369187[/C][C]-12.9463900369187[/C][/ROW]
[ROW][C]209[/C][C]53[/C][C]51.4123745938601[/C][C]1.58762540613993[/C][/ROW]
[ROW][C]210[/C][C]40[/C][C]49.8378876603424[/C][C]-9.83788766034243[/C][/ROW]
[ROW][C]211[/C][C]40[/C][C]42.1520454668244[/C][C]-2.15204546682444[/C][/ROW]
[ROW][C]212[/C][C]39[/C][C]45.831859242404[/C][C]-6.83185924240399[/C][/ROW]
[ROW][C]213[/C][C]14[/C][C]29.4155892780597[/C][C]-15.4155892780597[/C][/ROW]
[ROW][C]214[/C][C]45[/C][C]34.5798975443914[/C][C]10.4201024556086[/C][/ROW]
[ROW][C]215[/C][C]36[/C][C]41.008117393647[/C][C]-5.008117393647[/C][/ROW]
[ROW][C]216[/C][C]28[/C][C]33.7527644601405[/C][C]-5.75276446014048[/C][/ROW]
[ROW][C]217[/C][C]44[/C][C]35.9810852699293[/C][C]8.0189147300707[/C][/ROW]
[ROW][C]218[/C][C]30[/C][C]34.931278298982[/C][C]-4.93127829898196[/C][/ROW]
[ROW][C]219[/C][C]22[/C][C]32.6052999510946[/C][C]-10.6052999510946[/C][/ROW]
[ROW][C]220[/C][C]17[/C][C]35.1987755619989[/C][C]-18.1987755619989[/C][/ROW]
[ROW][C]221[/C][C]31[/C][C]36.4162707172151[/C][C]-5.4162707172151[/C][/ROW]
[ROW][C]222[/C][C]55[/C][C]49.2974484715668[/C][C]5.70255152843318[/C][/ROW]
[ROW][C]223[/C][C]54[/C][C]52.0316308827488[/C][C]1.96836911725125[/C][/ROW]
[ROW][C]224[/C][C]21[/C][C]32.173354773663[/C][C]-11.173354773663[/C][/ROW]
[ROW][C]225[/C][C]14[/C][C]23.1490433292992[/C][C]-9.14904332929921[/C][/ROW]
[ROW][C]226[/C][C]81[/C][C]58.4573591787595[/C][C]22.5426408212405[/C][/ROW]
[ROW][C]227[/C][C]35[/C][C]33.4917754837936[/C][C]1.50822451620644[/C][/ROW]
[ROW][C]228[/C][C]43[/C][C]33.4158977077402[/C][C]9.58410229225975[/C][/ROW]
[ROW][C]229[/C][C]46[/C][C]33.1602529294796[/C][C]12.8397470705204[/C][/ROW]
[ROW][C]230[/C][C]30[/C][C]40.3067304886367[/C][C]-10.3067304886367[/C][/ROW]
[ROW][C]231[/C][C]23[/C][C]26.5439170172256[/C][C]-3.54391701722557[/C][/ROW]
[ROW][C]232[/C][C]38[/C][C]37.0300490151935[/C][C]0.969950984806499[/C][/ROW]
[ROW][C]233[/C][C]54[/C][C]43.9285076941816[/C][C]10.0714923058184[/C][/ROW]
[ROW][C]234[/C][C]20[/C][C]30.4611593648307[/C][C]-10.4611593648307[/C][/ROW]
[ROW][C]235[/C][C]53[/C][C]37.041696974315[/C][C]15.958303025685[/C][/ROW]
[ROW][C]236[/C][C]45[/C][C]27.4412810198358[/C][C]17.5587189801642[/C][/ROW]
[ROW][C]237[/C][C]39[/C][C]58.0780712299917[/C][C]-19.0780712299917[/C][/ROW]
[ROW][C]238[/C][C]20[/C][C]27.7581064136363[/C][C]-7.75810641363627[/C][/ROW]
[ROW][C]239[/C][C]24[/C][C]39.3653940715908[/C][C]-15.3653940715908[/C][/ROW]
[ROW][C]240[/C][C]31[/C][C]26.4606836903189[/C][C]4.53931630968109[/C][/ROW]
[ROW][C]241[/C][C]35[/C][C]41.7452669486432[/C][C]-6.74526694864319[/C][/ROW]
[ROW][C]242[/C][C]151[/C][C]53.7922281074624[/C][C]97.2077718925376[/C][/ROW]
[ROW][C]243[/C][C]52[/C][C]27.944870949259[/C][C]24.055129050741[/C][/ROW]
[ROW][C]244[/C][C]30[/C][C]28.5476304912163[/C][C]1.4523695087837[/C][/ROW]
[ROW][C]245[/C][C]31[/C][C]34.7024231334407[/C][C]-3.70242313344068[/C][/ROW]
[ROW][C]246[/C][C]29[/C][C]40.3410056083603[/C][C]-11.3410056083603[/C][/ROW]
[ROW][C]247[/C][C]57[/C][C]46.1911241437672[/C][C]10.8088758562328[/C][/ROW]
[ROW][C]248[/C][C]40[/C][C]37.9230411732122[/C][C]2.07695882678783[/C][/ROW]
[ROW][C]249[/C][C]44[/C][C]39.5521287189797[/C][C]4.44787128102027[/C][/ROW]
[ROW][C]250[/C][C]25[/C][C]22.1460717135293[/C][C]2.85392828647074[/C][/ROW]
[ROW][C]251[/C][C]77[/C][C]62.8267054126297[/C][C]14.1732945873703[/C][/ROW]
[ROW][C]252[/C][C]35[/C][C]42.406089624936[/C][C]-7.40608962493597[/C][/ROW]
[ROW][C]253[/C][C]11[/C][C]14.2858834875792[/C][C]-3.28588348757918[/C][/ROW]
[ROW][C]254[/C][C]63[/C][C]48.2992260125235[/C][C]14.7007739874765[/C][/ROW]
[ROW][C]255[/C][C]44[/C][C]42.4394424454701[/C][C]1.56055755452992[/C][/ROW]
[ROW][C]256[/C][C]19[/C][C]20.5466875919902[/C][C]-1.54668759199018[/C][/ROW]
[ROW][C]257[/C][C]13[/C][C]20.3199574661644[/C][C]-7.31995746616443[/C][/ROW]
[ROW][C]258[/C][C]42[/C][C]39.8845098452251[/C][C]2.11549015477492[/C][/ROW]
[ROW][C]259[/C][C]38[/C][C]30.5715378012887[/C][C]7.4284621987113[/C][/ROW]
[ROW][C]260[/C][C]29[/C][C]21.8775582306201[/C][C]7.12244176937986[/C][/ROW]
[ROW][C]261[/C][C]20[/C][C]25.4155246102056[/C][C]-5.41552461020561[/C][/ROW]
[ROW][C]262[/C][C]27[/C][C]35.1197853631653[/C][C]-8.11978536316529[/C][/ROW]
[ROW][C]263[/C][C]20[/C][C]21.6487474011002[/C][C]-1.64874740110022[/C][/ROW]
[ROW][C]264[/C][C]19[/C][C]26.8140323856082[/C][C]-7.81403238560816[/C][/ROW]
[ROW][C]265[/C][C]37[/C][C]27.8536996932721[/C][C]9.14630030672785[/C][/ROW]
[ROW][C]266[/C][C]26[/C][C]35.3674409368353[/C][C]-9.36744093683532[/C][/ROW]
[ROW][C]267[/C][C]42[/C][C]32.3662575037544[/C][C]9.63374249624555[/C][/ROW]
[ROW][C]268[/C][C]49[/C][C]29.1263096775367[/C][C]19.8736903224633[/C][/ROW]
[ROW][C]269[/C][C]30[/C][C]43.2735325950033[/C][C]-13.2735325950033[/C][/ROW]
[ROW][C]270[/C][C]49[/C][C]36.5780630180231[/C][C]12.4219369819769[/C][/ROW]
[ROW][C]271[/C][C]67[/C][C]49.9187915543457[/C][C]17.0812084456543[/C][/ROW]
[ROW][C]272[/C][C]28[/C][C]33.8875675848438[/C][C]-5.88756758484378[/C][/ROW]
[ROW][C]273[/C][C]19[/C][C]28.2272069013024[/C][C]-9.22720690130241[/C][/ROW]
[ROW][C]274[/C][C]49[/C][C]43.4656636688307[/C][C]5.53433633116926[/C][/ROW]
[ROW][C]275[/C][C]27[/C][C]28.2967327948297[/C][C]-1.29673279482966[/C][/ROW]
[ROW][C]276[/C][C]30[/C][C]36.5716793892064[/C][C]-6.57167938920639[/C][/ROW]
[ROW][C]277[/C][C]22[/C][C]29.2856584301152[/C][C]-7.28565843011515[/C][/ROW]
[ROW][C]278[/C][C]12[/C][C]15.8977632711583[/C][C]-3.89776327115831[/C][/ROW]
[ROW][C]279[/C][C]31[/C][C]38.9374018220444[/C][C]-7.93740182204443[/C][/ROW]
[ROW][C]280[/C][C]20[/C][C]37.8927188275671[/C][C]-17.8927188275671[/C][/ROW]
[ROW][C]281[/C][C]20[/C][C]38.3362587378733[/C][C]-18.3362587378733[/C][/ROW]
[ROW][C]282[/C][C]39[/C][C]37.0517744278129[/C][C]1.94822557218713[/C][/ROW]
[ROW][C]283[/C][C]29[/C][C]41.9469336251313[/C][C]-12.9469336251313[/C][/ROW]
[ROW][C]284[/C][C]16[/C][C]24.1885252341042[/C][C]-8.18852523410424[/C][/ROW]
[ROW][C]285[/C][C]27[/C][C]32.9020267991868[/C][C]-5.90202679918683[/C][/ROW]
[ROW][C]286[/C][C]21[/C][C]27.9113791647123[/C][C]-6.91137916471225[/C][/ROW]
[ROW][C]287[/C][C]19[/C][C]30.1083217677217[/C][C]-11.1083217677217[/C][/ROW]
[ROW][C]288[/C][C]35[/C][C]29.9930762082248[/C][C]5.00692379177523[/C][/ROW]
[ROW][C]289[/C][C]14[/C][C]37.0716347858029[/C][C]-23.0716347858029[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199777&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199777&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
15668.2942599967269-12.2942599967269
25647.35026108028478.64973891971528
35470.3839535611256-16.3839535611256
48975.215844568593913.7841554314061
54042.7610905707803-2.76109057078027
62532.5191038387103-7.5191038387103
792127.878817508047-35.878817508047
81824.5253970458275-6.52539704582746
96345.171540903327317.8284590966727
104464.1357583137454-20.1357583137454
113358.6398863850208-25.6398863850208
128480.09272447027963.90727552972041
138863.922526744963124.0774732550369
145556.4114105119296-1.41141051192961
156089.406279044176-29.406279044176
166666.5157018934488-0.515701893448856
17154115.41314062499438.5868593750058
185374.4035517014251-21.4035517014251
1911985.385151687003333.6148483129967
204146.444831738264-5.44483173826399
216168.5543795046951-7.5543795046951
225873.2808919964408-15.2808919964408
2375109.654289302584-34.654289302584
243356.5061013673905-23.5061013673905
254054.203391018901-14.203391018901
269273.166758008868218.8332419911318
2710069.293724923686830.7062750763132
2811284.587172239413527.4128277605865
297369.37603659427873.62396340572125
304050.5045617026392-10.5045617026392
314576.4972778985377-31.4972778985377
326072.078538417978-12.078538417978
336268.1136328494402-6.11363284944015
347581.7436595925565-6.7436595925565
353139.5451605138856-8.54516051388558
367797.6962719809378-20.6962719809378
373438.8036894191207-4.80368941912068
384679.1403890920027-33.1403890920027
3999104.861025364187-5.86102536418691
401712.23814096935314.76185903064688
416661.81369021545044.18630978454957
423039.258547453596-9.258547453596
437647.305125602584528.6948743974155
4414689.708679232716256.2913207672838
4567100.362137922173-33.3621379221728
465661.4744946976802-5.47449469768023
4710774.203239284323132.7967607156769
485859.9913039305186-1.99130393051858
493447.7201757476286-13.7201757476286
506156.18595479818614.81404520181391
51119164.647932613581-45.6479326135811
524239.44959874668332.55040125331674
536665.26106132612230.738938673877686
5489103.994466358335-14.9944663583346
554462.2598573943147-18.2598573943147
566658.08970235183857.91029764816148
572420.31245952559343.68754047440663
58259105.51650159976153.48349840024
591733.8560024021008-16.8560024021008
606446.674564639701717.3254353602983
614182.3772770743052-41.3772770743052
626880.4894768695872-12.4894768695872
63168119.8097932658448.1902067341601
644345.1000789225303-2.10007892253026
6513287.290569344604244.7094306553958
6610581.88027391074723.119726089253
677176.289517419201-5.28951741920103
68112104.3459953260757.65400467392521
699486.70436931614497.29563068385505
708277.69255438313344.30744561686662
717077.7012799876227-7.70127998762268
725769.2358546182917-12.2358546182917
735357.2859553744839-4.28595537448387
7410354.944104204523248.0558957954768
7512174.342583893044446.6574161069556
766265.9084160870457-3.90841608704571
775244.01704322484777.98295677515228
785273.215494794485-21.215494794485
793241.4398137343512-9.43981373435118
806272.9003444607003-10.9003444607003
814564.1701403595715-19.1701403595715
824652.2919398845106-6.29193988451063
836389.9109505157724-26.9109505157724
847580.5261894204011-5.52618942040109
858863.427309800196324.5726901998037
864649.6755188419632-3.6755188419632
875358.9721505521209-5.9721505521209
883749.6646328966946-12.6646328966946
8990110.821633097711-20.8216330977115
906362.86790628273070.132093717269287
917857.977636988529620.0223630114704
922535.6314485522705-10.6314485522705
934564.0331862930022-19.0331862930022
944648.8832102112957-2.88321021129571
954141.193694069326-0.19369406932601
96144114.13062115232929.8693788476708
978283.392849937198-1.39284993719799
989162.270563381217828.7294366187822
997172.3389484551805-1.33894845518047
1006359.92934845144933.07065154855073
1015358.9554126917767-5.95541269177674
1026281.093861670899-19.093861670899
1036388.672121716674-25.672121716674
1043259.3504483918945-27.3504483918945
1053961.5015136303516-22.5015136303516
1066270.4627432133385-8.46274321333849
10711799.217496115024217.7825038849758
1083440.4365679189868-6.43656791898681
10992103.608130009215-11.6081300092155
1109379.559813827922213.4401861720778
1115476.1484898539714-22.1484898539714
11214457.616564318971486.3834356810286
1131429.9132714699848-15.9132714699848
1146159.46706624768221.53293375231779
11510959.868117491559349.1318825084407
1163875.5923562871331-37.5923562871331
1177375.1163113703937-2.11631137039373
1187579.3986337110556-4.39863371105561
1195041.29103580732258.70896419267749
1206146.361963389223714.6380366107763
1215553.39475410761081.60524589238923
1227735.245860113407741.7541398865923
1237566.08371018669068.91628981330937
1247243.262462261039828.7375377389602
1255073.8982166544402-23.8982166544402
1263235.6152744871571-3.61527448715708
1275344.72812229067968.27187770932041
1284242.0823535618796-0.082353561879649
1297175.3771377353727-4.37713773537267
1301016.7988653341953-6.79886533419526
1313529.69112601997235.30887398002766
1326555.32784236021589.67215763978417
1332528.8210581579697-3.82105815796969
1346653.300735203962412.6992647960376
1354153.4147326961848-12.4147326961848
1368699.9583868911883-13.9583868911882
1371616.7926139773536-0.792613977353631
1384274.902907469136-32.902907469136
1391921.0822856763184-2.08228567631836
1401921.1723958715768-2.17239587157685
1414529.287446178649215.7125538213508
1426552.195912880223712.8040871197763
1433546.8308189678068-11.8308189678068
1449591.27073385779053.72926614220946
1454969.9125924851368-20.9125924851368
1463744.7786468489935-7.77864684899352
1476458.31889638029095.68110361970908
1483845.4555002433897-7.45550024338968
1493426.49327740783337.50672259216673
1503262.5822469025914-30.5822469025914
1516592.4528294387437-27.4528294387437
1525263.145647494783-11.145647494783
1536244.414606267944217.5853937320559
15465115.106739405584-50.1067394055837
1558381.53411184447981.46588815552021
15695112.374020773342-17.3740207733418
1572955.9345341476539-26.9345341476539
1581847.5802347404727-29.5802347404727
1593340.8075204119875-7.80752041198754
16024784.9669928976103162.03300710239
161139124.30223191888914.6977680811109
1622948.5624283477714-19.5624283477714
16311849.640474685637368.3595253143627
164110116.838045177002-6.83804517700194
1656757.79874055415499.20125944584511
1664266.8323693217321-24.8323693217321
1676566.7129387948141-1.71293879481409
1689457.830794128753136.1692058712469
1696441.231770993309722.7682290066903
1708181.919860875706-0.919860875705991
17195114.022147254715-19.0221472547149
1726763.86549912651453.13450087348555
1736367.464550272241-4.46455027224097
1748385.6627892742322-2.66278927423218
1754546.3570954718467-1.35709547184673
1763058.7915359984418-28.7915359984418
1777074.5212043035931-4.52120430359311
1783241.364612793359-9.36461279335902
1798370.816384193228112.1836158067719
1803152.6641055552873-21.6641055552873
1816739.299989669763827.7000103302362
1826642.052802626133523.9471973738665
1831013.7962930295483-3.7962930295483
1847066.59573823440883.40426176559115
18510391.117952813480911.8820471865191
186511.6419585458099-6.64195854580994
1872025.2203151128324-5.2203151128324
188514.7635600540082-9.76356005400818
1893654.2799830237616-18.2799830237616
1903440.9581476668486-6.95814766684855
1914855.1931082912223-7.19310829122228
1924045.8664358129788-5.86643581297883
1934342.30638487116360.693615128836414
1943146.9461976412615-15.9461976412615
1954253.778514612457-11.778514612457
1964647.8915277507059-1.89152775070591
1973339.1492423009762-6.14924230097619
1981831.9598465178219-13.9598465178219
1995547.60920142052637.39079857947367
2003533.08854153914661.91145846085344
2015934.216195377789324.7838046222106
2021926.8783385998751-7.87833859987505
2036654.29572663274211.704273367258
2046048.770801358757411.2291986412426
2053650.7653133111137-14.7653133111137
2062527.5814044347292-2.58140443472924
2074735.40844150214711.591558497853
2085466.9463900369187-12.9463900369187
2095351.41237459386011.58762540613993
2104049.8378876603424-9.83788766034243
2114042.1520454668244-2.15204546682444
2123945.831859242404-6.83185924240399
2131429.4155892780597-15.4155892780597
2144534.579897544391410.4201024556086
2153641.008117393647-5.008117393647
2162833.7527644601405-5.75276446014048
2174435.98108526992938.0189147300707
2183034.931278298982-4.93127829898196
2192232.6052999510946-10.6052999510946
2201735.1987755619989-18.1987755619989
2213136.4162707172151-5.4162707172151
2225549.29744847156685.70255152843318
2235452.03163088274881.96836911725125
2242132.173354773663-11.173354773663
2251423.1490433292992-9.14904332929921
2268158.457359178759522.5426408212405
2273533.49177548379361.50822451620644
2284333.41589770774029.58410229225975
2294633.160252929479612.8397470705204
2303040.3067304886367-10.3067304886367
2312326.5439170172256-3.54391701722557
2323837.03004901519350.969950984806499
2335443.928507694181610.0714923058184
2342030.4611593648307-10.4611593648307
2355337.04169697431515.958303025685
2364527.441281019835817.5587189801642
2373958.0780712299917-19.0780712299917
2382027.7581064136363-7.75810641363627
2392439.3653940715908-15.3653940715908
2403126.46068369031894.53931630968109
2413541.7452669486432-6.74526694864319
24215153.792228107462497.2077718925376
2435227.94487094925924.055129050741
2443028.54763049121631.4523695087837
2453134.7024231334407-3.70242313344068
2462940.3410056083603-11.3410056083603
2475746.191124143767210.8088758562328
2484037.92304117321222.07695882678783
2494439.55212871897974.44787128102027
2502522.14607171352932.85392828647074
2517762.826705412629714.1732945873703
2523542.406089624936-7.40608962493597
2531114.2858834875792-3.28588348757918
2546348.299226012523514.7007739874765
2554442.43944244547011.56055755452992
2561920.5466875919902-1.54668759199018
2571320.3199574661644-7.31995746616443
2584239.88450984522512.11549015477492
2593830.57153780128877.4284621987113
2602921.87755823062017.12244176937986
2612025.4155246102056-5.41552461020561
2622735.1197853631653-8.11978536316529
2632021.6487474011002-1.64874740110022
2641926.8140323856082-7.81403238560816
2653727.85369969327219.14630030672785
2662635.3674409368353-9.36744093683532
2674232.36625750375449.63374249624555
2684929.126309677536719.8736903224633
2693043.2735325950033-13.2735325950033
2704936.578063018023112.4219369819769
2716749.918791554345717.0812084456543
2722833.8875675848438-5.88756758484378
2731928.2272069013024-9.22720690130241
2744943.46566366883075.53433633116926
2752728.2967327948297-1.29673279482966
2763036.5716793892064-6.57167938920639
2772229.2856584301152-7.28565843011515
2781215.8977632711583-3.89776327115831
2793138.9374018220444-7.93740182204443
2802037.8927188275671-17.8927188275671
2812038.3362587378733-18.3362587378733
2823937.05177442781291.94822557218713
2832941.9469336251313-12.9469336251313
2841624.1885252341042-8.18852523410424
2852732.9020267991868-5.90202679918683
2862127.9113791647123-6.91137916471225
2871930.1083217677217-11.1083217677217
2883529.99307620822485.00692379177523
2891437.0716347858029-23.0716347858029






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.2063296802415370.4126593604830750.793670319758463
120.2201158535116980.4402317070233960.779884146488302
130.3250037794827790.6500075589655580.674996220517221
140.2115682962668030.4231365925336050.788431703733197
150.26652300241570.5330460048314010.7334769975843
160.1929309618240550.3858619236481110.807069038175945
170.2554170929472640.5108341858945290.744582907052736
180.2050165042175180.4100330084350360.794983495782482
190.4142080888843380.8284161777686750.585791911115662
200.3296336987563490.6592673975126970.670366301243651
210.256236471832410.512472943664820.74376352816759
220.2583658117216150.5167316234432310.741634188278385
230.2086487886868470.4172975773736940.791351211313153
240.1665999870894520.3331999741789040.833400012910548
250.1789420710470720.3578841420941440.821057928952928
260.1426420354602720.2852840709205440.857357964539728
270.1468410146280650.2936820292561290.853158985371935
280.1876555502750590.3753111005501190.812344449724941
290.1618242563223680.3236485126447350.838175743677632
300.1357466562582140.2714933125164280.864253343741786
310.1841769573677040.3683539147354070.815823042632296
320.1497439977282880.2994879954565760.850256002271712
330.1241648605298290.2483297210596590.875835139470171
340.09540969855186730.1908193971037350.904590301448133
350.07703551713422440.1540710342684490.922964482865776
360.06222810040586670.1244562008117330.937771899594133
370.04799910245935170.09599820491870340.952000897540648
380.06991064544356240.1398212908871250.930089354556438
390.06023676287774270.1204735257554850.939763237122257
400.04992256093866460.09984512187732920.950077439061335
410.03923887776146260.07847775552292520.960761122238537
420.02923644787621750.0584728957524350.970763552123783
430.02962204748135950.0592440949627190.97037795251864
440.1897757465429010.3795514930858010.810224253457099
450.2215801974506120.4431603949012230.778419802549388
460.1864614924392140.3729229848784290.813538507560786
470.1896511810461690.3793023620923390.810348818953831
480.1585772464840630.3171544929681260.841422753515937
490.1390197313313230.2780394626626460.860980268668677
500.1147261419344120.2294522838688240.885273858065588
510.1359178353123780.2718356706247570.864082164687622
520.1111969976037890.2223939952075780.888803002396211
530.09141359571899330.1828271914379870.908586404281007
540.07673874742582060.1534774948516410.923261252574179
550.0886503197948330.1773006395896660.911349680205167
560.07222996601998350.1444599320399670.927770033980016
570.05776148226399760.1155229645279950.942238517736002
580.9996911490329590.0006177019340829410.00030885096704147
590.9996052506112350.0007894987775310720.000394749388765536
600.9995496681715010.0009006636569987190.00045033182849936
610.9997523558317920.0004952883364169360.000247644168208468
620.9996744626173630.000651074765274250.000325537382637125
630.9998740253623380.0002519492753240850.000125974637662043
640.9998149202388290.0003701595223412690.000185079761170634
650.999920201797980.0001595964040408217.97982020204107e-05
660.9999147759468730.0001704481062549978.52240531274984e-05
670.9998801915765760.0002396168468481550.000119808423424078
680.999831444214820.0003371115703608610.000168555785180431
690.9997604998866790.0004790002266425220.000239500113321261
700.9996628253915230.00067434921695440.0003371746084772
710.999546598109620.000906803780759290.000453401890379645
720.9994174026914660.001165194617067660.000582597308533828
730.9991941926676130.001611614664774860.000805807332387428
740.9996945293839630.0006109412320741550.000305470616037078
750.9998797731222190.0002404537555613730.000120226877780686
760.9998284407090720.0003431185818562320.000171559290928116
770.9997631380470450.0004737239059094890.000236861952954744
780.9997420925193920.0005158149612158890.000257907480607944
790.99964636142890.000707277142200760.00035363857110038
800.9995291026896660.0009417946206681370.000470897310334069
810.9994562547631530.001087490473694640.00054374523684732
820.9992580280779390.00148394384412220.000741971922061098
830.9993428743410740.001314251317852510.000657125658926253
840.9991252287044720.001749542591055930.000874771295527963
850.9991443844870660.001711231025867770.000855615512933885
860.9988373846544180.002325230691164090.00116261534558205
870.9984436893768210.003112621246357410.00155631062317871
880.9980330702092090.003933859581582850.00196692979079143
890.9979133777018360.004173244596327250.00208662229816363
900.9972409544645250.005518091070950710.00275904553547535
910.9971646523945740.005670695210852060.00283534760542603
920.9964368730463520.007126253907295520.00356312695364776
930.9960672294650940.007865541069812440.00393277053490622
940.9948929638554070.01021407228918550.00510703614459273
950.9934067984301930.01318640313961350.00659320156980675
960.9941261589734380.01174768205312290.00587384102656147
970.9924736452506070.01505270949878680.0075263547493934
980.9936264002636820.01274719947263680.00637359973631841
990.9918451408688430.0163097182623140.00815485913115698
1000.9896913339078690.02061733218426190.0103086660921309
1010.9871055245067480.02578895098650470.0128944754932523
1020.9858808122008940.02823837559821170.0141191877991059
1030.9864339769007250.02713204619855040.0135660230992752
1040.9870740139304960.02585197213900860.0129259860695043
1050.986491222940940.02701755411811950.0135087770590597
1060.9835805785808020.03283884283839550.0164194214191977
1070.982012511134640.03597497773071960.0179874888653598
1080.9779923240711630.04401535185767370.0220076759288368
1090.9750103279216940.04997934415661250.0249896720783062
1100.9718314831597980.05633703368040350.0281685168402017
1110.9709180426878640.0581639146242730.0290819573121365
1120.9986233476996820.002753304600636820.00137665230031841
1130.9983303869392040.003339226121591970.00166961306079599
1140.9978094740127060.004381051974587740.00219052598729387
1150.9992282188859140.001543562228172410.000771781114086203
1160.9995079330618560.0009841338762872180.000492066938143609
1170.9993339128067450.001332174386510220.000666087193255109
1180.9991262073154110.001747585369178210.000873792684589105
1190.9988875752702080.002224849459583990.001112424729792
1200.9987354912703680.002529017459264360.00126450872963218
1210.9983331461501220.003333707699755740.00166685384987787
1220.9992169585003580.00156608299928360.000783041499641798
1230.9989970636626790.002005872674640980.00100293633732049
1240.9991085555606280.001782888878743020.000891444439371508
1250.9990997846146620.001800430770675540.000900215385337772
1260.998807799931850.002384400136300720.00119220006815036
1270.9984640603677310.003071879264538660.00153593963226933
1280.9979926467002960.004014706599407330.00200735329970366
1290.9973824137901740.005235172419651880.00261758620982594
1300.9966412265245930.006717546950814310.00335877347540715
1310.9957174746410540.008565050717891460.00428252535894573
1320.9948482683711590.01030346325768110.00515173162884055
1330.9934583564281910.01308328714361810.00654164357180903
1340.992141457593420.01571708481316090.00785854240658045
1350.9907220468537740.01855590629245290.00927795314622644
1360.9890933425755460.0218133148489080.010906657424454
1370.9863667210408470.02726655791830670.0136332789591533
1380.9885378432226520.02292431355469680.0114621567773484
1390.985820431519590.02835913696081960.0141795684804098
1400.9824554473889080.03508910522218480.0175445526110924
1410.9804892226038870.0390215547922260.019510777396113
1420.9772126087014080.0455747825971840.022787391298592
1430.9742915179334790.05141696413304210.0257084820665211
1440.9687889501310470.06242209973790550.0312110498689528
1450.9668728487287260.06625430254254880.0331271512712744
1460.9605381174177440.07892376516451110.0394618825822555
1470.9530822176198580.09383556476028430.0469177823801422
1480.9446836616927830.1106326766144350.0553163383072173
1490.9359818095900260.1280363808199490.0640181904099743
1500.9431319430824270.1137361138351460.0568680569175728
1510.9478119628448560.1043760743102880.0521880371551441
1520.940867312907270.118265374185460.05913268709273
1530.9379117798829750.1241764402340510.0620882201170253
1540.971754596583980.05649080683204030.0282454034160201
1550.9668117658607530.0663764682784950.0331882341392475
1560.9685003653898890.06299926922022270.0314996346101113
1570.9729345975329460.05413080493410840.0270654024670542
1580.9803890218767290.03922195624654180.0196109781232709
1590.9761602350945810.04767952981083710.0238397649054185
1600.9999999998548412.90318847942646e-101.45159423971323e-10
1610.9999999997961194.07761928911158e-102.03880964455579e-10
1620.9999999997020385.95924146119801e-102.97962073059901e-10
1630.9999999999994751.04939889786238e-125.2469944893119e-13
1640.9999999999990421.9152893021343e-129.57644651067152e-13
1650.999999999998782.4405547333208e-121.2202773666604e-12
1660.9999999999994981.00501873867772e-125.02509369338861e-13
1670.999999999999081.8391820476535e-129.1959102382675e-13
1680.999999999999794.21042533754519e-132.1052126687726e-13
1690.9999999999997894.22874913008134e-132.11437456504067e-13
1700.9999999999995858.30636116786304e-134.15318058393152e-13
1710.9999999999994191.16102641587103e-125.80513207935515e-13
1720.9999999999988812.23754105409765e-121.11877052704883e-12
1730.9999999999978424.31631475853553e-122.15815737926777e-12
1740.9999999999959268.14768706912673e-124.07384353456337e-12
1750.9999999999941821.16360164725041e-115.81800823625206e-12
1760.9999999999971995.60101175950132e-122.80050587975066e-12
1770.9999999999950269.94878483014925e-124.97439241507463e-12
1780.9999999999920251.59508490073561e-117.97542450367807e-12
1790.9999999999853362.93284723135244e-111.46642361567622e-11
1800.9999999999899542.00922404475554e-111.00461202237777e-11
1810.999999999995499.02006652531619e-124.5100332626581e-12
1820.9999999999955128.97661190699768e-124.48830595349884e-12
1830.9999999999913111.73771350091315e-118.68856750456577e-12
1840.9999999999834113.31785261921352e-111.65892630960676e-11
1850.9999999999695226.09564837417957e-113.04782418708978e-11
1860.9999999999429481.14103735032393e-105.70518675161963e-11
1870.9999999998927172.14566436298251e-101.07283218149126e-10
1880.9999999998110113.77977934909271e-101.88988967454635e-10
1890.9999999998201253.59750077832158e-101.79875038916079e-10
1900.9999999996858986.28203946677288e-103.14101973338644e-10
1910.9999999994821311.03573699447428e-095.17868497237139e-10
1920.9999999990695821.86083528775255e-099.30417643876277e-10
1930.9999999982881763.42364756516342e-091.71182378258171e-09
1940.999999998707052.58590033053434e-091.29295016526717e-09
1950.9999999983140773.37184539761836e-091.68592269880918e-09
1960.999999997169525.66096034607957e-092.83048017303978e-09
1970.9999999948955671.02088657217472e-085.10443286087359e-09
1980.9999999922786921.54426160437285e-087.72130802186423e-09
1990.9999999883401672.33196665152111e-081.16598332576056e-08
2000.9999999792179814.15640379682235e-082.07820189841117e-08
2010.9999999878948412.4210317463284e-081.2105158731642e-08
2020.9999999790864464.18271077628609e-082.09135538814304e-08
2030.9999999644076857.11846296791952e-083.55923148395976e-08
2040.999999941147261.1770548082419e-075.8852740412095e-08
2050.9999999370442121.25911576721532e-076.29557883607662e-08
2060.9999998891973652.21605270775162e-071.10802635387581e-07
2070.9999998397516373.20496726396076e-071.60248363198038e-07
2080.9999998332209763.33558048059173e-071.66779024029586e-07
2090.9999997106782465.78643507103808e-072.89321753551904e-07
2100.999999576348298.47303420139154e-074.23651710069577e-07
2110.999999279339951.44132009942097e-067.20660049710487e-07
2120.9999989883973482.02320530396374e-061.01160265198187e-06
2130.9999987497634842.5004730312678e-061.2502365156339e-06
2140.9999982002197743.59956045185001e-061.79978022592501e-06
2150.9999971282174235.74356515459924e-062.87178257729962e-06
2160.9999952106161069.57876778821672e-064.78938389410836e-06
2170.9999927654794321.44690411353376e-057.23452056766879e-06
2180.9999882164494562.35671010874562e-051.17835505437281e-05
2190.9999825110573923.49778852163807e-051.74889426081904e-05
2200.999980993161553.80136769000787e-051.90068384500394e-05
2210.9999693660369226.12679261565531e-053.06339630782765e-05
2220.99995175422439.64915513999939e-054.82457756999969e-05
2230.9999263833557890.0001472332884215947.36166442107969e-05
2240.999900984429320.0001980311413598859.90155706799426e-05
2250.999849572367140.0003008552657195030.000150427632859752
2260.999814097326540.0003718053469192270.000185902673459613
2270.9997125078361420.000574984327716290.000287492163858145
2280.9996183380594460.0007633238811075480.000381661940553774
2290.9994932074089160.00101358518216870.000506792591084351
2300.9993235654555030.001352869088993390.000676434544496695
2310.9989801103645920.002039779270816290.00101988963540814
2320.9984860771837650.003027845632470840.00151392281623542
2330.9980714514363370.003857097127325710.00192854856366286
2340.9975887834028430.004822433194313840.00241121659715692
2350.9970361303283090.005927739343382460.00296386967169123
2360.9965793538522650.006841292295470230.00342064614773512
2370.9980962847614380.003807430477124220.00190371523856211
2380.9972097839503060.005580432099388140.00279021604969407
2390.996707528671320.006584942657359990.00329247132868
2400.9955843025245580.008831394950884090.00441569747544204
2410.9944420490162750.01111590196745040.00555795098372519
2420.9999999964571847.08563192988064e-093.54281596494032e-09
2430.9999999992998251.4003496674805e-097.00174833740248e-10
2440.9999999987829552.43409067119099e-091.2170453355955e-09
2450.9999999972914915.41701784942824e-092.70850892471412e-09
2460.9999999939762521.20474959351478e-086.02374796757392e-09
2470.999999989070752.18584991369762e-081.09292495684881e-08
2480.9999999758185384.83629237803725e-082.41814618901863e-08
2490.9999999436426941.12714612105378e-075.63573060526891e-08
2500.9999999043300231.91339954001201e-079.56699770006003e-08
2510.9999997927576284.14484743554199e-072.07242371777099e-07
2520.9999996355491177.28901766509945e-073.64450883254972e-07
2530.9999991213035811.75739283870525e-068.78696419352626e-07
2540.9999991284949231.74301015302797e-068.71505076513985e-07
2550.9999982388313473.5223373068601e-061.76116865343005e-06
2560.9999963826326377.23473472596676e-063.61736736298338e-06
2570.9999933285691311.33428617376437e-056.67143086882185e-06
2580.9999855519354652.88961290708663e-051.44480645354332e-05
2590.9999743361860985.13276278044778e-052.56638139022389e-05
2600.9999673489770416.53020459177638e-053.26510229588819e-05
2610.9999344563524660.0001310872950682966.55436475341482e-05
2620.9999578416517358.43166965310186e-054.21583482655093e-05
2630.9999018556495980.0001962887008030239.81443504015114e-05
2640.9998433713410140.000313257317972790.000156628658986395
2650.9998634034417330.0002731931165348050.000136596558267402
2660.9996721524143420.0006556951713163520.000327847585658176
2670.99963582300870.0007283539826008630.000364176991300432
2680.9996892599143250.0006214801713494790.000310740085674739
2690.9999082565941540.0001834868116922159.17434058461077e-05
2700.9997923636730080.0004152726539850570.000207636326992529
2710.9999905899836931.88200326135802e-059.41001630679012e-06
2720.9999655797933756.88404132494922e-053.44202066247461e-05
2730.9999103916417360.0001792167165273268.96083582636631e-05
2740.9997767647413630.0004464705172737170.000223235258636858
2750.9990794127055740.001841174588851430.000920587294425714
2760.9961149059876080.007770188024783310.00388509401239166
2770.986273549637180.02745290072564090.0137264503628205
2780.9699632356559070.06007352868818560.0300367643440928

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
11 & 0.206329680241537 & 0.412659360483075 & 0.793670319758463 \tabularnewline
12 & 0.220115853511698 & 0.440231707023396 & 0.779884146488302 \tabularnewline
13 & 0.325003779482779 & 0.650007558965558 & 0.674996220517221 \tabularnewline
14 & 0.211568296266803 & 0.423136592533605 & 0.788431703733197 \tabularnewline
15 & 0.2665230024157 & 0.533046004831401 & 0.7334769975843 \tabularnewline
16 & 0.192930961824055 & 0.385861923648111 & 0.807069038175945 \tabularnewline
17 & 0.255417092947264 & 0.510834185894529 & 0.744582907052736 \tabularnewline
18 & 0.205016504217518 & 0.410033008435036 & 0.794983495782482 \tabularnewline
19 & 0.414208088884338 & 0.828416177768675 & 0.585791911115662 \tabularnewline
20 & 0.329633698756349 & 0.659267397512697 & 0.670366301243651 \tabularnewline
21 & 0.25623647183241 & 0.51247294366482 & 0.74376352816759 \tabularnewline
22 & 0.258365811721615 & 0.516731623443231 & 0.741634188278385 \tabularnewline
23 & 0.208648788686847 & 0.417297577373694 & 0.791351211313153 \tabularnewline
24 & 0.166599987089452 & 0.333199974178904 & 0.833400012910548 \tabularnewline
25 & 0.178942071047072 & 0.357884142094144 & 0.821057928952928 \tabularnewline
26 & 0.142642035460272 & 0.285284070920544 & 0.857357964539728 \tabularnewline
27 & 0.146841014628065 & 0.293682029256129 & 0.853158985371935 \tabularnewline
28 & 0.187655550275059 & 0.375311100550119 & 0.812344449724941 \tabularnewline
29 & 0.161824256322368 & 0.323648512644735 & 0.838175743677632 \tabularnewline
30 & 0.135746656258214 & 0.271493312516428 & 0.864253343741786 \tabularnewline
31 & 0.184176957367704 & 0.368353914735407 & 0.815823042632296 \tabularnewline
32 & 0.149743997728288 & 0.299487995456576 & 0.850256002271712 \tabularnewline
33 & 0.124164860529829 & 0.248329721059659 & 0.875835139470171 \tabularnewline
34 & 0.0954096985518673 & 0.190819397103735 & 0.904590301448133 \tabularnewline
35 & 0.0770355171342244 & 0.154071034268449 & 0.922964482865776 \tabularnewline
36 & 0.0622281004058667 & 0.124456200811733 & 0.937771899594133 \tabularnewline
37 & 0.0479991024593517 & 0.0959982049187034 & 0.952000897540648 \tabularnewline
38 & 0.0699106454435624 & 0.139821290887125 & 0.930089354556438 \tabularnewline
39 & 0.0602367628777427 & 0.120473525755485 & 0.939763237122257 \tabularnewline
40 & 0.0499225609386646 & 0.0998451218773292 & 0.950077439061335 \tabularnewline
41 & 0.0392388777614626 & 0.0784777555229252 & 0.960761122238537 \tabularnewline
42 & 0.0292364478762175 & 0.058472895752435 & 0.970763552123783 \tabularnewline
43 & 0.0296220474813595 & 0.059244094962719 & 0.97037795251864 \tabularnewline
44 & 0.189775746542901 & 0.379551493085801 & 0.810224253457099 \tabularnewline
45 & 0.221580197450612 & 0.443160394901223 & 0.778419802549388 \tabularnewline
46 & 0.186461492439214 & 0.372922984878429 & 0.813538507560786 \tabularnewline
47 & 0.189651181046169 & 0.379302362092339 & 0.810348818953831 \tabularnewline
48 & 0.158577246484063 & 0.317154492968126 & 0.841422753515937 \tabularnewline
49 & 0.139019731331323 & 0.278039462662646 & 0.860980268668677 \tabularnewline
50 & 0.114726141934412 & 0.229452283868824 & 0.885273858065588 \tabularnewline
51 & 0.135917835312378 & 0.271835670624757 & 0.864082164687622 \tabularnewline
52 & 0.111196997603789 & 0.222393995207578 & 0.888803002396211 \tabularnewline
53 & 0.0914135957189933 & 0.182827191437987 & 0.908586404281007 \tabularnewline
54 & 0.0767387474258206 & 0.153477494851641 & 0.923261252574179 \tabularnewline
55 & 0.088650319794833 & 0.177300639589666 & 0.911349680205167 \tabularnewline
56 & 0.0722299660199835 & 0.144459932039967 & 0.927770033980016 \tabularnewline
57 & 0.0577614822639976 & 0.115522964527995 & 0.942238517736002 \tabularnewline
58 & 0.999691149032959 & 0.000617701934082941 & 0.00030885096704147 \tabularnewline
59 & 0.999605250611235 & 0.000789498777531072 & 0.000394749388765536 \tabularnewline
60 & 0.999549668171501 & 0.000900663656998719 & 0.00045033182849936 \tabularnewline
61 & 0.999752355831792 & 0.000495288336416936 & 0.000247644168208468 \tabularnewline
62 & 0.999674462617363 & 0.00065107476527425 & 0.000325537382637125 \tabularnewline
63 & 0.999874025362338 & 0.000251949275324085 & 0.000125974637662043 \tabularnewline
64 & 0.999814920238829 & 0.000370159522341269 & 0.000185079761170634 \tabularnewline
65 & 0.99992020179798 & 0.000159596404040821 & 7.97982020204107e-05 \tabularnewline
66 & 0.999914775946873 & 0.000170448106254997 & 8.52240531274984e-05 \tabularnewline
67 & 0.999880191576576 & 0.000239616846848155 & 0.000119808423424078 \tabularnewline
68 & 0.99983144421482 & 0.000337111570360861 & 0.000168555785180431 \tabularnewline
69 & 0.999760499886679 & 0.000479000226642522 & 0.000239500113321261 \tabularnewline
70 & 0.999662825391523 & 0.0006743492169544 & 0.0003371746084772 \tabularnewline
71 & 0.99954659810962 & 0.00090680378075929 & 0.000453401890379645 \tabularnewline
72 & 0.999417402691466 & 0.00116519461706766 & 0.000582597308533828 \tabularnewline
73 & 0.999194192667613 & 0.00161161466477486 & 0.000805807332387428 \tabularnewline
74 & 0.999694529383963 & 0.000610941232074155 & 0.000305470616037078 \tabularnewline
75 & 0.999879773122219 & 0.000240453755561373 & 0.000120226877780686 \tabularnewline
76 & 0.999828440709072 & 0.000343118581856232 & 0.000171559290928116 \tabularnewline
77 & 0.999763138047045 & 0.000473723905909489 & 0.000236861952954744 \tabularnewline
78 & 0.999742092519392 & 0.000515814961215889 & 0.000257907480607944 \tabularnewline
79 & 0.9996463614289 & 0.00070727714220076 & 0.00035363857110038 \tabularnewline
80 & 0.999529102689666 & 0.000941794620668137 & 0.000470897310334069 \tabularnewline
81 & 0.999456254763153 & 0.00108749047369464 & 0.00054374523684732 \tabularnewline
82 & 0.999258028077939 & 0.0014839438441222 & 0.000741971922061098 \tabularnewline
83 & 0.999342874341074 & 0.00131425131785251 & 0.000657125658926253 \tabularnewline
84 & 0.999125228704472 & 0.00174954259105593 & 0.000874771295527963 \tabularnewline
85 & 0.999144384487066 & 0.00171123102586777 & 0.000855615512933885 \tabularnewline
86 & 0.998837384654418 & 0.00232523069116409 & 0.00116261534558205 \tabularnewline
87 & 0.998443689376821 & 0.00311262124635741 & 0.00155631062317871 \tabularnewline
88 & 0.998033070209209 & 0.00393385958158285 & 0.00196692979079143 \tabularnewline
89 & 0.997913377701836 & 0.00417324459632725 & 0.00208662229816363 \tabularnewline
90 & 0.997240954464525 & 0.00551809107095071 & 0.00275904553547535 \tabularnewline
91 & 0.997164652394574 & 0.00567069521085206 & 0.00283534760542603 \tabularnewline
92 & 0.996436873046352 & 0.00712625390729552 & 0.00356312695364776 \tabularnewline
93 & 0.996067229465094 & 0.00786554106981244 & 0.00393277053490622 \tabularnewline
94 & 0.994892963855407 & 0.0102140722891855 & 0.00510703614459273 \tabularnewline
95 & 0.993406798430193 & 0.0131864031396135 & 0.00659320156980675 \tabularnewline
96 & 0.994126158973438 & 0.0117476820531229 & 0.00587384102656147 \tabularnewline
97 & 0.992473645250607 & 0.0150527094987868 & 0.0075263547493934 \tabularnewline
98 & 0.993626400263682 & 0.0127471994726368 & 0.00637359973631841 \tabularnewline
99 & 0.991845140868843 & 0.016309718262314 & 0.00815485913115698 \tabularnewline
100 & 0.989691333907869 & 0.0206173321842619 & 0.0103086660921309 \tabularnewline
101 & 0.987105524506748 & 0.0257889509865047 & 0.0128944754932523 \tabularnewline
102 & 0.985880812200894 & 0.0282383755982117 & 0.0141191877991059 \tabularnewline
103 & 0.986433976900725 & 0.0271320461985504 & 0.0135660230992752 \tabularnewline
104 & 0.987074013930496 & 0.0258519721390086 & 0.0129259860695043 \tabularnewline
105 & 0.98649122294094 & 0.0270175541181195 & 0.0135087770590597 \tabularnewline
106 & 0.983580578580802 & 0.0328388428383955 & 0.0164194214191977 \tabularnewline
107 & 0.98201251113464 & 0.0359749777307196 & 0.0179874888653598 \tabularnewline
108 & 0.977992324071163 & 0.0440153518576737 & 0.0220076759288368 \tabularnewline
109 & 0.975010327921694 & 0.0499793441566125 & 0.0249896720783062 \tabularnewline
110 & 0.971831483159798 & 0.0563370336804035 & 0.0281685168402017 \tabularnewline
111 & 0.970918042687864 & 0.058163914624273 & 0.0290819573121365 \tabularnewline
112 & 0.998623347699682 & 0.00275330460063682 & 0.00137665230031841 \tabularnewline
113 & 0.998330386939204 & 0.00333922612159197 & 0.00166961306079599 \tabularnewline
114 & 0.997809474012706 & 0.00438105197458774 & 0.00219052598729387 \tabularnewline
115 & 0.999228218885914 & 0.00154356222817241 & 0.000771781114086203 \tabularnewline
116 & 0.999507933061856 & 0.000984133876287218 & 0.000492066938143609 \tabularnewline
117 & 0.999333912806745 & 0.00133217438651022 & 0.000666087193255109 \tabularnewline
118 & 0.999126207315411 & 0.00174758536917821 & 0.000873792684589105 \tabularnewline
119 & 0.998887575270208 & 0.00222484945958399 & 0.001112424729792 \tabularnewline
120 & 0.998735491270368 & 0.00252901745926436 & 0.00126450872963218 \tabularnewline
121 & 0.998333146150122 & 0.00333370769975574 & 0.00166685384987787 \tabularnewline
122 & 0.999216958500358 & 0.0015660829992836 & 0.000783041499641798 \tabularnewline
123 & 0.998997063662679 & 0.00200587267464098 & 0.00100293633732049 \tabularnewline
124 & 0.999108555560628 & 0.00178288887874302 & 0.000891444439371508 \tabularnewline
125 & 0.999099784614662 & 0.00180043077067554 & 0.000900215385337772 \tabularnewline
126 & 0.99880779993185 & 0.00238440013630072 & 0.00119220006815036 \tabularnewline
127 & 0.998464060367731 & 0.00307187926453866 & 0.00153593963226933 \tabularnewline
128 & 0.997992646700296 & 0.00401470659940733 & 0.00200735329970366 \tabularnewline
129 & 0.997382413790174 & 0.00523517241965188 & 0.00261758620982594 \tabularnewline
130 & 0.996641226524593 & 0.00671754695081431 & 0.00335877347540715 \tabularnewline
131 & 0.995717474641054 & 0.00856505071789146 & 0.00428252535894573 \tabularnewline
132 & 0.994848268371159 & 0.0103034632576811 & 0.00515173162884055 \tabularnewline
133 & 0.993458356428191 & 0.0130832871436181 & 0.00654164357180903 \tabularnewline
134 & 0.99214145759342 & 0.0157170848131609 & 0.00785854240658045 \tabularnewline
135 & 0.990722046853774 & 0.0185559062924529 & 0.00927795314622644 \tabularnewline
136 & 0.989093342575546 & 0.021813314848908 & 0.010906657424454 \tabularnewline
137 & 0.986366721040847 & 0.0272665579183067 & 0.0136332789591533 \tabularnewline
138 & 0.988537843222652 & 0.0229243135546968 & 0.0114621567773484 \tabularnewline
139 & 0.98582043151959 & 0.0283591369608196 & 0.0141795684804098 \tabularnewline
140 & 0.982455447388908 & 0.0350891052221848 & 0.0175445526110924 \tabularnewline
141 & 0.980489222603887 & 0.039021554792226 & 0.019510777396113 \tabularnewline
142 & 0.977212608701408 & 0.045574782597184 & 0.022787391298592 \tabularnewline
143 & 0.974291517933479 & 0.0514169641330421 & 0.0257084820665211 \tabularnewline
144 & 0.968788950131047 & 0.0624220997379055 & 0.0312110498689528 \tabularnewline
145 & 0.966872848728726 & 0.0662543025425488 & 0.0331271512712744 \tabularnewline
146 & 0.960538117417744 & 0.0789237651645111 & 0.0394618825822555 \tabularnewline
147 & 0.953082217619858 & 0.0938355647602843 & 0.0469177823801422 \tabularnewline
148 & 0.944683661692783 & 0.110632676614435 & 0.0553163383072173 \tabularnewline
149 & 0.935981809590026 & 0.128036380819949 & 0.0640181904099743 \tabularnewline
150 & 0.943131943082427 & 0.113736113835146 & 0.0568680569175728 \tabularnewline
151 & 0.947811962844856 & 0.104376074310288 & 0.0521880371551441 \tabularnewline
152 & 0.94086731290727 & 0.11826537418546 & 0.05913268709273 \tabularnewline
153 & 0.937911779882975 & 0.124176440234051 & 0.0620882201170253 \tabularnewline
154 & 0.97175459658398 & 0.0564908068320403 & 0.0282454034160201 \tabularnewline
155 & 0.966811765860753 & 0.066376468278495 & 0.0331882341392475 \tabularnewline
156 & 0.968500365389889 & 0.0629992692202227 & 0.0314996346101113 \tabularnewline
157 & 0.972934597532946 & 0.0541308049341084 & 0.0270654024670542 \tabularnewline
158 & 0.980389021876729 & 0.0392219562465418 & 0.0196109781232709 \tabularnewline
159 & 0.976160235094581 & 0.0476795298108371 & 0.0238397649054185 \tabularnewline
160 & 0.999999999854841 & 2.90318847942646e-10 & 1.45159423971323e-10 \tabularnewline
161 & 0.999999999796119 & 4.07761928911158e-10 & 2.03880964455579e-10 \tabularnewline
162 & 0.999999999702038 & 5.95924146119801e-10 & 2.97962073059901e-10 \tabularnewline
163 & 0.999999999999475 & 1.04939889786238e-12 & 5.2469944893119e-13 \tabularnewline
164 & 0.999999999999042 & 1.9152893021343e-12 & 9.57644651067152e-13 \tabularnewline
165 & 0.99999999999878 & 2.4405547333208e-12 & 1.2202773666604e-12 \tabularnewline
166 & 0.999999999999498 & 1.00501873867772e-12 & 5.02509369338861e-13 \tabularnewline
167 & 0.99999999999908 & 1.8391820476535e-12 & 9.1959102382675e-13 \tabularnewline
168 & 0.99999999999979 & 4.21042533754519e-13 & 2.1052126687726e-13 \tabularnewline
169 & 0.999999999999789 & 4.22874913008134e-13 & 2.11437456504067e-13 \tabularnewline
170 & 0.999999999999585 & 8.30636116786304e-13 & 4.15318058393152e-13 \tabularnewline
171 & 0.999999999999419 & 1.16102641587103e-12 & 5.80513207935515e-13 \tabularnewline
172 & 0.999999999998881 & 2.23754105409765e-12 & 1.11877052704883e-12 \tabularnewline
173 & 0.999999999997842 & 4.31631475853553e-12 & 2.15815737926777e-12 \tabularnewline
174 & 0.999999999995926 & 8.14768706912673e-12 & 4.07384353456337e-12 \tabularnewline
175 & 0.999999999994182 & 1.16360164725041e-11 & 5.81800823625206e-12 \tabularnewline
176 & 0.999999999997199 & 5.60101175950132e-12 & 2.80050587975066e-12 \tabularnewline
177 & 0.999999999995026 & 9.94878483014925e-12 & 4.97439241507463e-12 \tabularnewline
178 & 0.999999999992025 & 1.59508490073561e-11 & 7.97542450367807e-12 \tabularnewline
179 & 0.999999999985336 & 2.93284723135244e-11 & 1.46642361567622e-11 \tabularnewline
180 & 0.999999999989954 & 2.00922404475554e-11 & 1.00461202237777e-11 \tabularnewline
181 & 0.99999999999549 & 9.02006652531619e-12 & 4.5100332626581e-12 \tabularnewline
182 & 0.999999999995512 & 8.97661190699768e-12 & 4.48830595349884e-12 \tabularnewline
183 & 0.999999999991311 & 1.73771350091315e-11 & 8.68856750456577e-12 \tabularnewline
184 & 0.999999999983411 & 3.31785261921352e-11 & 1.65892630960676e-11 \tabularnewline
185 & 0.999999999969522 & 6.09564837417957e-11 & 3.04782418708978e-11 \tabularnewline
186 & 0.999999999942948 & 1.14103735032393e-10 & 5.70518675161963e-11 \tabularnewline
187 & 0.999999999892717 & 2.14566436298251e-10 & 1.07283218149126e-10 \tabularnewline
188 & 0.999999999811011 & 3.77977934909271e-10 & 1.88988967454635e-10 \tabularnewline
189 & 0.999999999820125 & 3.59750077832158e-10 & 1.79875038916079e-10 \tabularnewline
190 & 0.999999999685898 & 6.28203946677288e-10 & 3.14101973338644e-10 \tabularnewline
191 & 0.999999999482131 & 1.03573699447428e-09 & 5.17868497237139e-10 \tabularnewline
192 & 0.999999999069582 & 1.86083528775255e-09 & 9.30417643876277e-10 \tabularnewline
193 & 0.999999998288176 & 3.42364756516342e-09 & 1.71182378258171e-09 \tabularnewline
194 & 0.99999999870705 & 2.58590033053434e-09 & 1.29295016526717e-09 \tabularnewline
195 & 0.999999998314077 & 3.37184539761836e-09 & 1.68592269880918e-09 \tabularnewline
196 & 0.99999999716952 & 5.66096034607957e-09 & 2.83048017303978e-09 \tabularnewline
197 & 0.999999994895567 & 1.02088657217472e-08 & 5.10443286087359e-09 \tabularnewline
198 & 0.999999992278692 & 1.54426160437285e-08 & 7.72130802186423e-09 \tabularnewline
199 & 0.999999988340167 & 2.33196665152111e-08 & 1.16598332576056e-08 \tabularnewline
200 & 0.999999979217981 & 4.15640379682235e-08 & 2.07820189841117e-08 \tabularnewline
201 & 0.999999987894841 & 2.4210317463284e-08 & 1.2105158731642e-08 \tabularnewline
202 & 0.999999979086446 & 4.18271077628609e-08 & 2.09135538814304e-08 \tabularnewline
203 & 0.999999964407685 & 7.11846296791952e-08 & 3.55923148395976e-08 \tabularnewline
204 & 0.99999994114726 & 1.1770548082419e-07 & 5.8852740412095e-08 \tabularnewline
205 & 0.999999937044212 & 1.25911576721532e-07 & 6.29557883607662e-08 \tabularnewline
206 & 0.999999889197365 & 2.21605270775162e-07 & 1.10802635387581e-07 \tabularnewline
207 & 0.999999839751637 & 3.20496726396076e-07 & 1.60248363198038e-07 \tabularnewline
208 & 0.999999833220976 & 3.33558048059173e-07 & 1.66779024029586e-07 \tabularnewline
209 & 0.999999710678246 & 5.78643507103808e-07 & 2.89321753551904e-07 \tabularnewline
210 & 0.99999957634829 & 8.47303420139154e-07 & 4.23651710069577e-07 \tabularnewline
211 & 0.99999927933995 & 1.44132009942097e-06 & 7.20660049710487e-07 \tabularnewline
212 & 0.999998988397348 & 2.02320530396374e-06 & 1.01160265198187e-06 \tabularnewline
213 & 0.999998749763484 & 2.5004730312678e-06 & 1.2502365156339e-06 \tabularnewline
214 & 0.999998200219774 & 3.59956045185001e-06 & 1.79978022592501e-06 \tabularnewline
215 & 0.999997128217423 & 5.74356515459924e-06 & 2.87178257729962e-06 \tabularnewline
216 & 0.999995210616106 & 9.57876778821672e-06 & 4.78938389410836e-06 \tabularnewline
217 & 0.999992765479432 & 1.44690411353376e-05 & 7.23452056766879e-06 \tabularnewline
218 & 0.999988216449456 & 2.35671010874562e-05 & 1.17835505437281e-05 \tabularnewline
219 & 0.999982511057392 & 3.49778852163807e-05 & 1.74889426081904e-05 \tabularnewline
220 & 0.99998099316155 & 3.80136769000787e-05 & 1.90068384500394e-05 \tabularnewline
221 & 0.999969366036922 & 6.12679261565531e-05 & 3.06339630782765e-05 \tabularnewline
222 & 0.9999517542243 & 9.64915513999939e-05 & 4.82457756999969e-05 \tabularnewline
223 & 0.999926383355789 & 0.000147233288421594 & 7.36166442107969e-05 \tabularnewline
224 & 0.99990098442932 & 0.000198031141359885 & 9.90155706799426e-05 \tabularnewline
225 & 0.99984957236714 & 0.000300855265719503 & 0.000150427632859752 \tabularnewline
226 & 0.99981409732654 & 0.000371805346919227 & 0.000185902673459613 \tabularnewline
227 & 0.999712507836142 & 0.00057498432771629 & 0.000287492163858145 \tabularnewline
228 & 0.999618338059446 & 0.000763323881107548 & 0.000381661940553774 \tabularnewline
229 & 0.999493207408916 & 0.0010135851821687 & 0.000506792591084351 \tabularnewline
230 & 0.999323565455503 & 0.00135286908899339 & 0.000676434544496695 \tabularnewline
231 & 0.998980110364592 & 0.00203977927081629 & 0.00101988963540814 \tabularnewline
232 & 0.998486077183765 & 0.00302784563247084 & 0.00151392281623542 \tabularnewline
233 & 0.998071451436337 & 0.00385709712732571 & 0.00192854856366286 \tabularnewline
234 & 0.997588783402843 & 0.00482243319431384 & 0.00241121659715692 \tabularnewline
235 & 0.997036130328309 & 0.00592773934338246 & 0.00296386967169123 \tabularnewline
236 & 0.996579353852265 & 0.00684129229547023 & 0.00342064614773512 \tabularnewline
237 & 0.998096284761438 & 0.00380743047712422 & 0.00190371523856211 \tabularnewline
238 & 0.997209783950306 & 0.00558043209938814 & 0.00279021604969407 \tabularnewline
239 & 0.99670752867132 & 0.00658494265735999 & 0.00329247132868 \tabularnewline
240 & 0.995584302524558 & 0.00883139495088409 & 0.00441569747544204 \tabularnewline
241 & 0.994442049016275 & 0.0111159019674504 & 0.00555795098372519 \tabularnewline
242 & 0.999999996457184 & 7.08563192988064e-09 & 3.54281596494032e-09 \tabularnewline
243 & 0.999999999299825 & 1.4003496674805e-09 & 7.00174833740248e-10 \tabularnewline
244 & 0.999999998782955 & 2.43409067119099e-09 & 1.2170453355955e-09 \tabularnewline
245 & 0.999999997291491 & 5.41701784942824e-09 & 2.70850892471412e-09 \tabularnewline
246 & 0.999999993976252 & 1.20474959351478e-08 & 6.02374796757392e-09 \tabularnewline
247 & 0.99999998907075 & 2.18584991369762e-08 & 1.09292495684881e-08 \tabularnewline
248 & 0.999999975818538 & 4.83629237803725e-08 & 2.41814618901863e-08 \tabularnewline
249 & 0.999999943642694 & 1.12714612105378e-07 & 5.63573060526891e-08 \tabularnewline
250 & 0.999999904330023 & 1.91339954001201e-07 & 9.56699770006003e-08 \tabularnewline
251 & 0.999999792757628 & 4.14484743554199e-07 & 2.07242371777099e-07 \tabularnewline
252 & 0.999999635549117 & 7.28901766509945e-07 & 3.64450883254972e-07 \tabularnewline
253 & 0.999999121303581 & 1.75739283870525e-06 & 8.78696419352626e-07 \tabularnewline
254 & 0.999999128494923 & 1.74301015302797e-06 & 8.71505076513985e-07 \tabularnewline
255 & 0.999998238831347 & 3.5223373068601e-06 & 1.76116865343005e-06 \tabularnewline
256 & 0.999996382632637 & 7.23473472596676e-06 & 3.61736736298338e-06 \tabularnewline
257 & 0.999993328569131 & 1.33428617376437e-05 & 6.67143086882185e-06 \tabularnewline
258 & 0.999985551935465 & 2.88961290708663e-05 & 1.44480645354332e-05 \tabularnewline
259 & 0.999974336186098 & 5.13276278044778e-05 & 2.56638139022389e-05 \tabularnewline
260 & 0.999967348977041 & 6.53020459177638e-05 & 3.26510229588819e-05 \tabularnewline
261 & 0.999934456352466 & 0.000131087295068296 & 6.55436475341482e-05 \tabularnewline
262 & 0.999957841651735 & 8.43166965310186e-05 & 4.21583482655093e-05 \tabularnewline
263 & 0.999901855649598 & 0.000196288700803023 & 9.81443504015114e-05 \tabularnewline
264 & 0.999843371341014 & 0.00031325731797279 & 0.000156628658986395 \tabularnewline
265 & 0.999863403441733 & 0.000273193116534805 & 0.000136596558267402 \tabularnewline
266 & 0.999672152414342 & 0.000655695171316352 & 0.000327847585658176 \tabularnewline
267 & 0.9996358230087 & 0.000728353982600863 & 0.000364176991300432 \tabularnewline
268 & 0.999689259914325 & 0.000621480171349479 & 0.000310740085674739 \tabularnewline
269 & 0.999908256594154 & 0.000183486811692215 & 9.17434058461077e-05 \tabularnewline
270 & 0.999792363673008 & 0.000415272653985057 & 0.000207636326992529 \tabularnewline
271 & 0.999990589983693 & 1.88200326135802e-05 & 9.41001630679012e-06 \tabularnewline
272 & 0.999965579793375 & 6.88404132494922e-05 & 3.44202066247461e-05 \tabularnewline
273 & 0.999910391641736 & 0.000179216716527326 & 8.96083582636631e-05 \tabularnewline
274 & 0.999776764741363 & 0.000446470517273717 & 0.000223235258636858 \tabularnewline
275 & 0.999079412705574 & 0.00184117458885143 & 0.000920587294425714 \tabularnewline
276 & 0.996114905987608 & 0.00777018802478331 & 0.00388509401239166 \tabularnewline
277 & 0.98627354963718 & 0.0274529007256409 & 0.0137264503628205 \tabularnewline
278 & 0.969963235655907 & 0.0600735286881856 & 0.0300367643440928 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199777&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]11[/C][C]0.206329680241537[/C][C]0.412659360483075[/C][C]0.793670319758463[/C][/ROW]
[ROW][C]12[/C][C]0.220115853511698[/C][C]0.440231707023396[/C][C]0.779884146488302[/C][/ROW]
[ROW][C]13[/C][C]0.325003779482779[/C][C]0.650007558965558[/C][C]0.674996220517221[/C][/ROW]
[ROW][C]14[/C][C]0.211568296266803[/C][C]0.423136592533605[/C][C]0.788431703733197[/C][/ROW]
[ROW][C]15[/C][C]0.2665230024157[/C][C]0.533046004831401[/C][C]0.7334769975843[/C][/ROW]
[ROW][C]16[/C][C]0.192930961824055[/C][C]0.385861923648111[/C][C]0.807069038175945[/C][/ROW]
[ROW][C]17[/C][C]0.255417092947264[/C][C]0.510834185894529[/C][C]0.744582907052736[/C][/ROW]
[ROW][C]18[/C][C]0.205016504217518[/C][C]0.410033008435036[/C][C]0.794983495782482[/C][/ROW]
[ROW][C]19[/C][C]0.414208088884338[/C][C]0.828416177768675[/C][C]0.585791911115662[/C][/ROW]
[ROW][C]20[/C][C]0.329633698756349[/C][C]0.659267397512697[/C][C]0.670366301243651[/C][/ROW]
[ROW][C]21[/C][C]0.25623647183241[/C][C]0.51247294366482[/C][C]0.74376352816759[/C][/ROW]
[ROW][C]22[/C][C]0.258365811721615[/C][C]0.516731623443231[/C][C]0.741634188278385[/C][/ROW]
[ROW][C]23[/C][C]0.208648788686847[/C][C]0.417297577373694[/C][C]0.791351211313153[/C][/ROW]
[ROW][C]24[/C][C]0.166599987089452[/C][C]0.333199974178904[/C][C]0.833400012910548[/C][/ROW]
[ROW][C]25[/C][C]0.178942071047072[/C][C]0.357884142094144[/C][C]0.821057928952928[/C][/ROW]
[ROW][C]26[/C][C]0.142642035460272[/C][C]0.285284070920544[/C][C]0.857357964539728[/C][/ROW]
[ROW][C]27[/C][C]0.146841014628065[/C][C]0.293682029256129[/C][C]0.853158985371935[/C][/ROW]
[ROW][C]28[/C][C]0.187655550275059[/C][C]0.375311100550119[/C][C]0.812344449724941[/C][/ROW]
[ROW][C]29[/C][C]0.161824256322368[/C][C]0.323648512644735[/C][C]0.838175743677632[/C][/ROW]
[ROW][C]30[/C][C]0.135746656258214[/C][C]0.271493312516428[/C][C]0.864253343741786[/C][/ROW]
[ROW][C]31[/C][C]0.184176957367704[/C][C]0.368353914735407[/C][C]0.815823042632296[/C][/ROW]
[ROW][C]32[/C][C]0.149743997728288[/C][C]0.299487995456576[/C][C]0.850256002271712[/C][/ROW]
[ROW][C]33[/C][C]0.124164860529829[/C][C]0.248329721059659[/C][C]0.875835139470171[/C][/ROW]
[ROW][C]34[/C][C]0.0954096985518673[/C][C]0.190819397103735[/C][C]0.904590301448133[/C][/ROW]
[ROW][C]35[/C][C]0.0770355171342244[/C][C]0.154071034268449[/C][C]0.922964482865776[/C][/ROW]
[ROW][C]36[/C][C]0.0622281004058667[/C][C]0.124456200811733[/C][C]0.937771899594133[/C][/ROW]
[ROW][C]37[/C][C]0.0479991024593517[/C][C]0.0959982049187034[/C][C]0.952000897540648[/C][/ROW]
[ROW][C]38[/C][C]0.0699106454435624[/C][C]0.139821290887125[/C][C]0.930089354556438[/C][/ROW]
[ROW][C]39[/C][C]0.0602367628777427[/C][C]0.120473525755485[/C][C]0.939763237122257[/C][/ROW]
[ROW][C]40[/C][C]0.0499225609386646[/C][C]0.0998451218773292[/C][C]0.950077439061335[/C][/ROW]
[ROW][C]41[/C][C]0.0392388777614626[/C][C]0.0784777555229252[/C][C]0.960761122238537[/C][/ROW]
[ROW][C]42[/C][C]0.0292364478762175[/C][C]0.058472895752435[/C][C]0.970763552123783[/C][/ROW]
[ROW][C]43[/C][C]0.0296220474813595[/C][C]0.059244094962719[/C][C]0.97037795251864[/C][/ROW]
[ROW][C]44[/C][C]0.189775746542901[/C][C]0.379551493085801[/C][C]0.810224253457099[/C][/ROW]
[ROW][C]45[/C][C]0.221580197450612[/C][C]0.443160394901223[/C][C]0.778419802549388[/C][/ROW]
[ROW][C]46[/C][C]0.186461492439214[/C][C]0.372922984878429[/C][C]0.813538507560786[/C][/ROW]
[ROW][C]47[/C][C]0.189651181046169[/C][C]0.379302362092339[/C][C]0.810348818953831[/C][/ROW]
[ROW][C]48[/C][C]0.158577246484063[/C][C]0.317154492968126[/C][C]0.841422753515937[/C][/ROW]
[ROW][C]49[/C][C]0.139019731331323[/C][C]0.278039462662646[/C][C]0.860980268668677[/C][/ROW]
[ROW][C]50[/C][C]0.114726141934412[/C][C]0.229452283868824[/C][C]0.885273858065588[/C][/ROW]
[ROW][C]51[/C][C]0.135917835312378[/C][C]0.271835670624757[/C][C]0.864082164687622[/C][/ROW]
[ROW][C]52[/C][C]0.111196997603789[/C][C]0.222393995207578[/C][C]0.888803002396211[/C][/ROW]
[ROW][C]53[/C][C]0.0914135957189933[/C][C]0.182827191437987[/C][C]0.908586404281007[/C][/ROW]
[ROW][C]54[/C][C]0.0767387474258206[/C][C]0.153477494851641[/C][C]0.923261252574179[/C][/ROW]
[ROW][C]55[/C][C]0.088650319794833[/C][C]0.177300639589666[/C][C]0.911349680205167[/C][/ROW]
[ROW][C]56[/C][C]0.0722299660199835[/C][C]0.144459932039967[/C][C]0.927770033980016[/C][/ROW]
[ROW][C]57[/C][C]0.0577614822639976[/C][C]0.115522964527995[/C][C]0.942238517736002[/C][/ROW]
[ROW][C]58[/C][C]0.999691149032959[/C][C]0.000617701934082941[/C][C]0.00030885096704147[/C][/ROW]
[ROW][C]59[/C][C]0.999605250611235[/C][C]0.000789498777531072[/C][C]0.000394749388765536[/C][/ROW]
[ROW][C]60[/C][C]0.999549668171501[/C][C]0.000900663656998719[/C][C]0.00045033182849936[/C][/ROW]
[ROW][C]61[/C][C]0.999752355831792[/C][C]0.000495288336416936[/C][C]0.000247644168208468[/C][/ROW]
[ROW][C]62[/C][C]0.999674462617363[/C][C]0.00065107476527425[/C][C]0.000325537382637125[/C][/ROW]
[ROW][C]63[/C][C]0.999874025362338[/C][C]0.000251949275324085[/C][C]0.000125974637662043[/C][/ROW]
[ROW][C]64[/C][C]0.999814920238829[/C][C]0.000370159522341269[/C][C]0.000185079761170634[/C][/ROW]
[ROW][C]65[/C][C]0.99992020179798[/C][C]0.000159596404040821[/C][C]7.97982020204107e-05[/C][/ROW]
[ROW][C]66[/C][C]0.999914775946873[/C][C]0.000170448106254997[/C][C]8.52240531274984e-05[/C][/ROW]
[ROW][C]67[/C][C]0.999880191576576[/C][C]0.000239616846848155[/C][C]0.000119808423424078[/C][/ROW]
[ROW][C]68[/C][C]0.99983144421482[/C][C]0.000337111570360861[/C][C]0.000168555785180431[/C][/ROW]
[ROW][C]69[/C][C]0.999760499886679[/C][C]0.000479000226642522[/C][C]0.000239500113321261[/C][/ROW]
[ROW][C]70[/C][C]0.999662825391523[/C][C]0.0006743492169544[/C][C]0.0003371746084772[/C][/ROW]
[ROW][C]71[/C][C]0.99954659810962[/C][C]0.00090680378075929[/C][C]0.000453401890379645[/C][/ROW]
[ROW][C]72[/C][C]0.999417402691466[/C][C]0.00116519461706766[/C][C]0.000582597308533828[/C][/ROW]
[ROW][C]73[/C][C]0.999194192667613[/C][C]0.00161161466477486[/C][C]0.000805807332387428[/C][/ROW]
[ROW][C]74[/C][C]0.999694529383963[/C][C]0.000610941232074155[/C][C]0.000305470616037078[/C][/ROW]
[ROW][C]75[/C][C]0.999879773122219[/C][C]0.000240453755561373[/C][C]0.000120226877780686[/C][/ROW]
[ROW][C]76[/C][C]0.999828440709072[/C][C]0.000343118581856232[/C][C]0.000171559290928116[/C][/ROW]
[ROW][C]77[/C][C]0.999763138047045[/C][C]0.000473723905909489[/C][C]0.000236861952954744[/C][/ROW]
[ROW][C]78[/C][C]0.999742092519392[/C][C]0.000515814961215889[/C][C]0.000257907480607944[/C][/ROW]
[ROW][C]79[/C][C]0.9996463614289[/C][C]0.00070727714220076[/C][C]0.00035363857110038[/C][/ROW]
[ROW][C]80[/C][C]0.999529102689666[/C][C]0.000941794620668137[/C][C]0.000470897310334069[/C][/ROW]
[ROW][C]81[/C][C]0.999456254763153[/C][C]0.00108749047369464[/C][C]0.00054374523684732[/C][/ROW]
[ROW][C]82[/C][C]0.999258028077939[/C][C]0.0014839438441222[/C][C]0.000741971922061098[/C][/ROW]
[ROW][C]83[/C][C]0.999342874341074[/C][C]0.00131425131785251[/C][C]0.000657125658926253[/C][/ROW]
[ROW][C]84[/C][C]0.999125228704472[/C][C]0.00174954259105593[/C][C]0.000874771295527963[/C][/ROW]
[ROW][C]85[/C][C]0.999144384487066[/C][C]0.00171123102586777[/C][C]0.000855615512933885[/C][/ROW]
[ROW][C]86[/C][C]0.998837384654418[/C][C]0.00232523069116409[/C][C]0.00116261534558205[/C][/ROW]
[ROW][C]87[/C][C]0.998443689376821[/C][C]0.00311262124635741[/C][C]0.00155631062317871[/C][/ROW]
[ROW][C]88[/C][C]0.998033070209209[/C][C]0.00393385958158285[/C][C]0.00196692979079143[/C][/ROW]
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[ROW][C]90[/C][C]0.997240954464525[/C][C]0.00551809107095071[/C][C]0.00275904553547535[/C][/ROW]
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[ROW][C]125[/C][C]0.999099784614662[/C][C]0.00180043077067554[/C][C]0.000900215385337772[/C][/ROW]
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[ROW][C]127[/C][C]0.998464060367731[/C][C]0.00307187926453866[/C][C]0.00153593963226933[/C][/ROW]
[ROW][C]128[/C][C]0.997992646700296[/C][C]0.00401470659940733[/C][C]0.00200735329970366[/C][/ROW]
[ROW][C]129[/C][C]0.997382413790174[/C][C]0.00523517241965188[/C][C]0.00261758620982594[/C][/ROW]
[ROW][C]130[/C][C]0.996641226524593[/C][C]0.00671754695081431[/C][C]0.00335877347540715[/C][/ROW]
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[ROW][C]162[/C][C]0.999999999702038[/C][C]5.95924146119801e-10[/C][C]2.97962073059901e-10[/C][/ROW]
[ROW][C]163[/C][C]0.999999999999475[/C][C]1.04939889786238e-12[/C][C]5.2469944893119e-13[/C][/ROW]
[ROW][C]164[/C][C]0.999999999999042[/C][C]1.9152893021343e-12[/C][C]9.57644651067152e-13[/C][/ROW]
[ROW][C]165[/C][C]0.99999999999878[/C][C]2.4405547333208e-12[/C][C]1.2202773666604e-12[/C][/ROW]
[ROW][C]166[/C][C]0.999999999999498[/C][C]1.00501873867772e-12[/C][C]5.02509369338861e-13[/C][/ROW]
[ROW][C]167[/C][C]0.99999999999908[/C][C]1.8391820476535e-12[/C][C]9.1959102382675e-13[/C][/ROW]
[ROW][C]168[/C][C]0.99999999999979[/C][C]4.21042533754519e-13[/C][C]2.1052126687726e-13[/C][/ROW]
[ROW][C]169[/C][C]0.999999999999789[/C][C]4.22874913008134e-13[/C][C]2.11437456504067e-13[/C][/ROW]
[ROW][C]170[/C][C]0.999999999999585[/C][C]8.30636116786304e-13[/C][C]4.15318058393152e-13[/C][/ROW]
[ROW][C]171[/C][C]0.999999999999419[/C][C]1.16102641587103e-12[/C][C]5.80513207935515e-13[/C][/ROW]
[ROW][C]172[/C][C]0.999999999998881[/C][C]2.23754105409765e-12[/C][C]1.11877052704883e-12[/C][/ROW]
[ROW][C]173[/C][C]0.999999999997842[/C][C]4.31631475853553e-12[/C][C]2.15815737926777e-12[/C][/ROW]
[ROW][C]174[/C][C]0.999999999995926[/C][C]8.14768706912673e-12[/C][C]4.07384353456337e-12[/C][/ROW]
[ROW][C]175[/C][C]0.999999999994182[/C][C]1.16360164725041e-11[/C][C]5.81800823625206e-12[/C][/ROW]
[ROW][C]176[/C][C]0.999999999997199[/C][C]5.60101175950132e-12[/C][C]2.80050587975066e-12[/C][/ROW]
[ROW][C]177[/C][C]0.999999999995026[/C][C]9.94878483014925e-12[/C][C]4.97439241507463e-12[/C][/ROW]
[ROW][C]178[/C][C]0.999999999992025[/C][C]1.59508490073561e-11[/C][C]7.97542450367807e-12[/C][/ROW]
[ROW][C]179[/C][C]0.999999999985336[/C][C]2.93284723135244e-11[/C][C]1.46642361567622e-11[/C][/ROW]
[ROW][C]180[/C][C]0.999999999989954[/C][C]2.00922404475554e-11[/C][C]1.00461202237777e-11[/C][/ROW]
[ROW][C]181[/C][C]0.99999999999549[/C][C]9.02006652531619e-12[/C][C]4.5100332626581e-12[/C][/ROW]
[ROW][C]182[/C][C]0.999999999995512[/C][C]8.97661190699768e-12[/C][C]4.48830595349884e-12[/C][/ROW]
[ROW][C]183[/C][C]0.999999999991311[/C][C]1.73771350091315e-11[/C][C]8.68856750456577e-12[/C][/ROW]
[ROW][C]184[/C][C]0.999999999983411[/C][C]3.31785261921352e-11[/C][C]1.65892630960676e-11[/C][/ROW]
[ROW][C]185[/C][C]0.999999999969522[/C][C]6.09564837417957e-11[/C][C]3.04782418708978e-11[/C][/ROW]
[ROW][C]186[/C][C]0.999999999942948[/C][C]1.14103735032393e-10[/C][C]5.70518675161963e-11[/C][/ROW]
[ROW][C]187[/C][C]0.999999999892717[/C][C]2.14566436298251e-10[/C][C]1.07283218149126e-10[/C][/ROW]
[ROW][C]188[/C][C]0.999999999811011[/C][C]3.77977934909271e-10[/C][C]1.88988967454635e-10[/C][/ROW]
[ROW][C]189[/C][C]0.999999999820125[/C][C]3.59750077832158e-10[/C][C]1.79875038916079e-10[/C][/ROW]
[ROW][C]190[/C][C]0.999999999685898[/C][C]6.28203946677288e-10[/C][C]3.14101973338644e-10[/C][/ROW]
[ROW][C]191[/C][C]0.999999999482131[/C][C]1.03573699447428e-09[/C][C]5.17868497237139e-10[/C][/ROW]
[ROW][C]192[/C][C]0.999999999069582[/C][C]1.86083528775255e-09[/C][C]9.30417643876277e-10[/C][/ROW]
[ROW][C]193[/C][C]0.999999998288176[/C][C]3.42364756516342e-09[/C][C]1.71182378258171e-09[/C][/ROW]
[ROW][C]194[/C][C]0.99999999870705[/C][C]2.58590033053434e-09[/C][C]1.29295016526717e-09[/C][/ROW]
[ROW][C]195[/C][C]0.999999998314077[/C][C]3.37184539761836e-09[/C][C]1.68592269880918e-09[/C][/ROW]
[ROW][C]196[/C][C]0.99999999716952[/C][C]5.66096034607957e-09[/C][C]2.83048017303978e-09[/C][/ROW]
[ROW][C]197[/C][C]0.999999994895567[/C][C]1.02088657217472e-08[/C][C]5.10443286087359e-09[/C][/ROW]
[ROW][C]198[/C][C]0.999999992278692[/C][C]1.54426160437285e-08[/C][C]7.72130802186423e-09[/C][/ROW]
[ROW][C]199[/C][C]0.999999988340167[/C][C]2.33196665152111e-08[/C][C]1.16598332576056e-08[/C][/ROW]
[ROW][C]200[/C][C]0.999999979217981[/C][C]4.15640379682235e-08[/C][C]2.07820189841117e-08[/C][/ROW]
[ROW][C]201[/C][C]0.999999987894841[/C][C]2.4210317463284e-08[/C][C]1.2105158731642e-08[/C][/ROW]
[ROW][C]202[/C][C]0.999999979086446[/C][C]4.18271077628609e-08[/C][C]2.09135538814304e-08[/C][/ROW]
[ROW][C]203[/C][C]0.999999964407685[/C][C]7.11846296791952e-08[/C][C]3.55923148395976e-08[/C][/ROW]
[ROW][C]204[/C][C]0.99999994114726[/C][C]1.1770548082419e-07[/C][C]5.8852740412095e-08[/C][/ROW]
[ROW][C]205[/C][C]0.999999937044212[/C][C]1.25911576721532e-07[/C][C]6.29557883607662e-08[/C][/ROW]
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[ROW][C]207[/C][C]0.999999839751637[/C][C]3.20496726396076e-07[/C][C]1.60248363198038e-07[/C][/ROW]
[ROW][C]208[/C][C]0.999999833220976[/C][C]3.33558048059173e-07[/C][C]1.66779024029586e-07[/C][/ROW]
[ROW][C]209[/C][C]0.999999710678246[/C][C]5.78643507103808e-07[/C][C]2.89321753551904e-07[/C][/ROW]
[ROW][C]210[/C][C]0.99999957634829[/C][C]8.47303420139154e-07[/C][C]4.23651710069577e-07[/C][/ROW]
[ROW][C]211[/C][C]0.99999927933995[/C][C]1.44132009942097e-06[/C][C]7.20660049710487e-07[/C][/ROW]
[ROW][C]212[/C][C]0.999998988397348[/C][C]2.02320530396374e-06[/C][C]1.01160265198187e-06[/C][/ROW]
[ROW][C]213[/C][C]0.999998749763484[/C][C]2.5004730312678e-06[/C][C]1.2502365156339e-06[/C][/ROW]
[ROW][C]214[/C][C]0.999998200219774[/C][C]3.59956045185001e-06[/C][C]1.79978022592501e-06[/C][/ROW]
[ROW][C]215[/C][C]0.999997128217423[/C][C]5.74356515459924e-06[/C][C]2.87178257729962e-06[/C][/ROW]
[ROW][C]216[/C][C]0.999995210616106[/C][C]9.57876778821672e-06[/C][C]4.78938389410836e-06[/C][/ROW]
[ROW][C]217[/C][C]0.999992765479432[/C][C]1.44690411353376e-05[/C][C]7.23452056766879e-06[/C][/ROW]
[ROW][C]218[/C][C]0.999988216449456[/C][C]2.35671010874562e-05[/C][C]1.17835505437281e-05[/C][/ROW]
[ROW][C]219[/C][C]0.999982511057392[/C][C]3.49778852163807e-05[/C][C]1.74889426081904e-05[/C][/ROW]
[ROW][C]220[/C][C]0.99998099316155[/C][C]3.80136769000787e-05[/C][C]1.90068384500394e-05[/C][/ROW]
[ROW][C]221[/C][C]0.999969366036922[/C][C]6.12679261565531e-05[/C][C]3.06339630782765e-05[/C][/ROW]
[ROW][C]222[/C][C]0.9999517542243[/C][C]9.64915513999939e-05[/C][C]4.82457756999969e-05[/C][/ROW]
[ROW][C]223[/C][C]0.999926383355789[/C][C]0.000147233288421594[/C][C]7.36166442107969e-05[/C][/ROW]
[ROW][C]224[/C][C]0.99990098442932[/C][C]0.000198031141359885[/C][C]9.90155706799426e-05[/C][/ROW]
[ROW][C]225[/C][C]0.99984957236714[/C][C]0.000300855265719503[/C][C]0.000150427632859752[/C][/ROW]
[ROW][C]226[/C][C]0.99981409732654[/C][C]0.000371805346919227[/C][C]0.000185902673459613[/C][/ROW]
[ROW][C]227[/C][C]0.999712507836142[/C][C]0.00057498432771629[/C][C]0.000287492163858145[/C][/ROW]
[ROW][C]228[/C][C]0.999618338059446[/C][C]0.000763323881107548[/C][C]0.000381661940553774[/C][/ROW]
[ROW][C]229[/C][C]0.999493207408916[/C][C]0.0010135851821687[/C][C]0.000506792591084351[/C][/ROW]
[ROW][C]230[/C][C]0.999323565455503[/C][C]0.00135286908899339[/C][C]0.000676434544496695[/C][/ROW]
[ROW][C]231[/C][C]0.998980110364592[/C][C]0.00203977927081629[/C][C]0.00101988963540814[/C][/ROW]
[ROW][C]232[/C][C]0.998486077183765[/C][C]0.00302784563247084[/C][C]0.00151392281623542[/C][/ROW]
[ROW][C]233[/C][C]0.998071451436337[/C][C]0.00385709712732571[/C][C]0.00192854856366286[/C][/ROW]
[ROW][C]234[/C][C]0.997588783402843[/C][C]0.00482243319431384[/C][C]0.00241121659715692[/C][/ROW]
[ROW][C]235[/C][C]0.997036130328309[/C][C]0.00592773934338246[/C][C]0.00296386967169123[/C][/ROW]
[ROW][C]236[/C][C]0.996579353852265[/C][C]0.00684129229547023[/C][C]0.00342064614773512[/C][/ROW]
[ROW][C]237[/C][C]0.998096284761438[/C][C]0.00380743047712422[/C][C]0.00190371523856211[/C][/ROW]
[ROW][C]238[/C][C]0.997209783950306[/C][C]0.00558043209938814[/C][C]0.00279021604969407[/C][/ROW]
[ROW][C]239[/C][C]0.99670752867132[/C][C]0.00658494265735999[/C][C]0.00329247132868[/C][/ROW]
[ROW][C]240[/C][C]0.995584302524558[/C][C]0.00883139495088409[/C][C]0.00441569747544204[/C][/ROW]
[ROW][C]241[/C][C]0.994442049016275[/C][C]0.0111159019674504[/C][C]0.00555795098372519[/C][/ROW]
[ROW][C]242[/C][C]0.999999996457184[/C][C]7.08563192988064e-09[/C][C]3.54281596494032e-09[/C][/ROW]
[ROW][C]243[/C][C]0.999999999299825[/C][C]1.4003496674805e-09[/C][C]7.00174833740248e-10[/C][/ROW]
[ROW][C]244[/C][C]0.999999998782955[/C][C]2.43409067119099e-09[/C][C]1.2170453355955e-09[/C][/ROW]
[ROW][C]245[/C][C]0.999999997291491[/C][C]5.41701784942824e-09[/C][C]2.70850892471412e-09[/C][/ROW]
[ROW][C]246[/C][C]0.999999993976252[/C][C]1.20474959351478e-08[/C][C]6.02374796757392e-09[/C][/ROW]
[ROW][C]247[/C][C]0.99999998907075[/C][C]2.18584991369762e-08[/C][C]1.09292495684881e-08[/C][/ROW]
[ROW][C]248[/C][C]0.999999975818538[/C][C]4.83629237803725e-08[/C][C]2.41814618901863e-08[/C][/ROW]
[ROW][C]249[/C][C]0.999999943642694[/C][C]1.12714612105378e-07[/C][C]5.63573060526891e-08[/C][/ROW]
[ROW][C]250[/C][C]0.999999904330023[/C][C]1.91339954001201e-07[/C][C]9.56699770006003e-08[/C][/ROW]
[ROW][C]251[/C][C]0.999999792757628[/C][C]4.14484743554199e-07[/C][C]2.07242371777099e-07[/C][/ROW]
[ROW][C]252[/C][C]0.999999635549117[/C][C]7.28901766509945e-07[/C][C]3.64450883254972e-07[/C][/ROW]
[ROW][C]253[/C][C]0.999999121303581[/C][C]1.75739283870525e-06[/C][C]8.78696419352626e-07[/C][/ROW]
[ROW][C]254[/C][C]0.999999128494923[/C][C]1.74301015302797e-06[/C][C]8.71505076513985e-07[/C][/ROW]
[ROW][C]255[/C][C]0.999998238831347[/C][C]3.5223373068601e-06[/C][C]1.76116865343005e-06[/C][/ROW]
[ROW][C]256[/C][C]0.999996382632637[/C][C]7.23473472596676e-06[/C][C]3.61736736298338e-06[/C][/ROW]
[ROW][C]257[/C][C]0.999993328569131[/C][C]1.33428617376437e-05[/C][C]6.67143086882185e-06[/C][/ROW]
[ROW][C]258[/C][C]0.999985551935465[/C][C]2.88961290708663e-05[/C][C]1.44480645354332e-05[/C][/ROW]
[ROW][C]259[/C][C]0.999974336186098[/C][C]5.13276278044778e-05[/C][C]2.56638139022389e-05[/C][/ROW]
[ROW][C]260[/C][C]0.999967348977041[/C][C]6.53020459177638e-05[/C][C]3.26510229588819e-05[/C][/ROW]
[ROW][C]261[/C][C]0.999934456352466[/C][C]0.000131087295068296[/C][C]6.55436475341482e-05[/C][/ROW]
[ROW][C]262[/C][C]0.999957841651735[/C][C]8.43166965310186e-05[/C][C]4.21583482655093e-05[/C][/ROW]
[ROW][C]263[/C][C]0.999901855649598[/C][C]0.000196288700803023[/C][C]9.81443504015114e-05[/C][/ROW]
[ROW][C]264[/C][C]0.999843371341014[/C][C]0.00031325731797279[/C][C]0.000156628658986395[/C][/ROW]
[ROW][C]265[/C][C]0.999863403441733[/C][C]0.000273193116534805[/C][C]0.000136596558267402[/C][/ROW]
[ROW][C]266[/C][C]0.999672152414342[/C][C]0.000655695171316352[/C][C]0.000327847585658176[/C][/ROW]
[ROW][C]267[/C][C]0.9996358230087[/C][C]0.000728353982600863[/C][C]0.000364176991300432[/C][/ROW]
[ROW][C]268[/C][C]0.999689259914325[/C][C]0.000621480171349479[/C][C]0.000310740085674739[/C][/ROW]
[ROW][C]269[/C][C]0.999908256594154[/C][C]0.000183486811692215[/C][C]9.17434058461077e-05[/C][/ROW]
[ROW][C]270[/C][C]0.999792363673008[/C][C]0.000415272653985057[/C][C]0.000207636326992529[/C][/ROW]
[ROW][C]271[/C][C]0.999990589983693[/C][C]1.88200326135802e-05[/C][C]9.41001630679012e-06[/C][/ROW]
[ROW][C]272[/C][C]0.999965579793375[/C][C]6.88404132494922e-05[/C][C]3.44202066247461e-05[/C][/ROW]
[ROW][C]273[/C][C]0.999910391641736[/C][C]0.000179216716527326[/C][C]8.96083582636631e-05[/C][/ROW]
[ROW][C]274[/C][C]0.999776764741363[/C][C]0.000446470517273717[/C][C]0.000223235258636858[/C][/ROW]
[ROW][C]275[/C][C]0.999079412705574[/C][C]0.00184117458885143[/C][C]0.000920587294425714[/C][/ROW]
[ROW][C]276[/C][C]0.996114905987608[/C][C]0.00777018802478331[/C][C]0.00388509401239166[/C][/ROW]
[ROW][C]277[/C][C]0.98627354963718[/C][C]0.0274529007256409[/C][C]0.0137264503628205[/C][/ROW]
[ROW][C]278[/C][C]0.969963235655907[/C][C]0.0600735286881856[/C][C]0.0300367643440928[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199777&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199777&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
110.2063296802415370.4126593604830750.793670319758463
120.2201158535116980.4402317070233960.779884146488302
130.3250037794827790.6500075589655580.674996220517221
140.2115682962668030.4231365925336050.788431703733197
150.26652300241570.5330460048314010.7334769975843
160.1929309618240550.3858619236481110.807069038175945
170.2554170929472640.5108341858945290.744582907052736
180.2050165042175180.4100330084350360.794983495782482
190.4142080888843380.8284161777686750.585791911115662
200.3296336987563490.6592673975126970.670366301243651
210.256236471832410.512472943664820.74376352816759
220.2583658117216150.5167316234432310.741634188278385
230.2086487886868470.4172975773736940.791351211313153
240.1665999870894520.3331999741789040.833400012910548
250.1789420710470720.3578841420941440.821057928952928
260.1426420354602720.2852840709205440.857357964539728
270.1468410146280650.2936820292561290.853158985371935
280.1876555502750590.3753111005501190.812344449724941
290.1618242563223680.3236485126447350.838175743677632
300.1357466562582140.2714933125164280.864253343741786
310.1841769573677040.3683539147354070.815823042632296
320.1497439977282880.2994879954565760.850256002271712
330.1241648605298290.2483297210596590.875835139470171
340.09540969855186730.1908193971037350.904590301448133
350.07703551713422440.1540710342684490.922964482865776
360.06222810040586670.1244562008117330.937771899594133
370.04799910245935170.09599820491870340.952000897540648
380.06991064544356240.1398212908871250.930089354556438
390.06023676287774270.1204735257554850.939763237122257
400.04992256093866460.09984512187732920.950077439061335
410.03923887776146260.07847775552292520.960761122238537
420.02923644787621750.0584728957524350.970763552123783
430.02962204748135950.0592440949627190.97037795251864
440.1897757465429010.3795514930858010.810224253457099
450.2215801974506120.4431603949012230.778419802549388
460.1864614924392140.3729229848784290.813538507560786
470.1896511810461690.3793023620923390.810348818953831
480.1585772464840630.3171544929681260.841422753515937
490.1390197313313230.2780394626626460.860980268668677
500.1147261419344120.2294522838688240.885273858065588
510.1359178353123780.2718356706247570.864082164687622
520.1111969976037890.2223939952075780.888803002396211
530.09141359571899330.1828271914379870.908586404281007
540.07673874742582060.1534774948516410.923261252574179
550.0886503197948330.1773006395896660.911349680205167
560.07222996601998350.1444599320399670.927770033980016
570.05776148226399760.1155229645279950.942238517736002
580.9996911490329590.0006177019340829410.00030885096704147
590.9996052506112350.0007894987775310720.000394749388765536
600.9995496681715010.0009006636569987190.00045033182849936
610.9997523558317920.0004952883364169360.000247644168208468
620.9996744626173630.000651074765274250.000325537382637125
630.9998740253623380.0002519492753240850.000125974637662043
640.9998149202388290.0003701595223412690.000185079761170634
650.999920201797980.0001595964040408217.97982020204107e-05
660.9999147759468730.0001704481062549978.52240531274984e-05
670.9998801915765760.0002396168468481550.000119808423424078
680.999831444214820.0003371115703608610.000168555785180431
690.9997604998866790.0004790002266425220.000239500113321261
700.9996628253915230.00067434921695440.0003371746084772
710.999546598109620.000906803780759290.000453401890379645
720.9994174026914660.001165194617067660.000582597308533828
730.9991941926676130.001611614664774860.000805807332387428
740.9996945293839630.0006109412320741550.000305470616037078
750.9998797731222190.0002404537555613730.000120226877780686
760.9998284407090720.0003431185818562320.000171559290928116
770.9997631380470450.0004737239059094890.000236861952954744
780.9997420925193920.0005158149612158890.000257907480607944
790.99964636142890.000707277142200760.00035363857110038
800.9995291026896660.0009417946206681370.000470897310334069
810.9994562547631530.001087490473694640.00054374523684732
820.9992580280779390.00148394384412220.000741971922061098
830.9993428743410740.001314251317852510.000657125658926253
840.9991252287044720.001749542591055930.000874771295527963
850.9991443844870660.001711231025867770.000855615512933885
860.9988373846544180.002325230691164090.00116261534558205
870.9984436893768210.003112621246357410.00155631062317871
880.9980330702092090.003933859581582850.00196692979079143
890.9979133777018360.004173244596327250.00208662229816363
900.9972409544645250.005518091070950710.00275904553547535
910.9971646523945740.005670695210852060.00283534760542603
920.9964368730463520.007126253907295520.00356312695364776
930.9960672294650940.007865541069812440.00393277053490622
940.9948929638554070.01021407228918550.00510703614459273
950.9934067984301930.01318640313961350.00659320156980675
960.9941261589734380.01174768205312290.00587384102656147
970.9924736452506070.01505270949878680.0075263547493934
980.9936264002636820.01274719947263680.00637359973631841
990.9918451408688430.0163097182623140.00815485913115698
1000.9896913339078690.02061733218426190.0103086660921309
1010.9871055245067480.02578895098650470.0128944754932523
1020.9858808122008940.02823837559821170.0141191877991059
1030.9864339769007250.02713204619855040.0135660230992752
1040.9870740139304960.02585197213900860.0129259860695043
1050.986491222940940.02701755411811950.0135087770590597
1060.9835805785808020.03283884283839550.0164194214191977
1070.982012511134640.03597497773071960.0179874888653598
1080.9779923240711630.04401535185767370.0220076759288368
1090.9750103279216940.04997934415661250.0249896720783062
1100.9718314831597980.05633703368040350.0281685168402017
1110.9709180426878640.0581639146242730.0290819573121365
1120.9986233476996820.002753304600636820.00137665230031841
1130.9983303869392040.003339226121591970.00166961306079599
1140.9978094740127060.004381051974587740.00219052598729387
1150.9992282188859140.001543562228172410.000771781114086203
1160.9995079330618560.0009841338762872180.000492066938143609
1170.9993339128067450.001332174386510220.000666087193255109
1180.9991262073154110.001747585369178210.000873792684589105
1190.9988875752702080.002224849459583990.001112424729792
1200.9987354912703680.002529017459264360.00126450872963218
1210.9983331461501220.003333707699755740.00166685384987787
1220.9992169585003580.00156608299928360.000783041499641798
1230.9989970636626790.002005872674640980.00100293633732049
1240.9991085555606280.001782888878743020.000891444439371508
1250.9990997846146620.001800430770675540.000900215385337772
1260.998807799931850.002384400136300720.00119220006815036
1270.9984640603677310.003071879264538660.00153593963226933
1280.9979926467002960.004014706599407330.00200735329970366
1290.9973824137901740.005235172419651880.00261758620982594
1300.9966412265245930.006717546950814310.00335877347540715
1310.9957174746410540.008565050717891460.00428252535894573
1320.9948482683711590.01030346325768110.00515173162884055
1330.9934583564281910.01308328714361810.00654164357180903
1340.992141457593420.01571708481316090.00785854240658045
1350.9907220468537740.01855590629245290.00927795314622644
1360.9890933425755460.0218133148489080.010906657424454
1370.9863667210408470.02726655791830670.0136332789591533
1380.9885378432226520.02292431355469680.0114621567773484
1390.985820431519590.02835913696081960.0141795684804098
1400.9824554473889080.03508910522218480.0175445526110924
1410.9804892226038870.0390215547922260.019510777396113
1420.9772126087014080.0455747825971840.022787391298592
1430.9742915179334790.05141696413304210.0257084820665211
1440.9687889501310470.06242209973790550.0312110498689528
1450.9668728487287260.06625430254254880.0331271512712744
1460.9605381174177440.07892376516451110.0394618825822555
1470.9530822176198580.09383556476028430.0469177823801422
1480.9446836616927830.1106326766144350.0553163383072173
1490.9359818095900260.1280363808199490.0640181904099743
1500.9431319430824270.1137361138351460.0568680569175728
1510.9478119628448560.1043760743102880.0521880371551441
1520.940867312907270.118265374185460.05913268709273
1530.9379117798829750.1241764402340510.0620882201170253
1540.971754596583980.05649080683204030.0282454034160201
1550.9668117658607530.0663764682784950.0331882341392475
1560.9685003653898890.06299926922022270.0314996346101113
1570.9729345975329460.05413080493410840.0270654024670542
1580.9803890218767290.03922195624654180.0196109781232709
1590.9761602350945810.04767952981083710.0238397649054185
1600.9999999998548412.90318847942646e-101.45159423971323e-10
1610.9999999997961194.07761928911158e-102.03880964455579e-10
1620.9999999997020385.95924146119801e-102.97962073059901e-10
1630.9999999999994751.04939889786238e-125.2469944893119e-13
1640.9999999999990421.9152893021343e-129.57644651067152e-13
1650.999999999998782.4405547333208e-121.2202773666604e-12
1660.9999999999994981.00501873867772e-125.02509369338861e-13
1670.999999999999081.8391820476535e-129.1959102382675e-13
1680.999999999999794.21042533754519e-132.1052126687726e-13
1690.9999999999997894.22874913008134e-132.11437456504067e-13
1700.9999999999995858.30636116786304e-134.15318058393152e-13
1710.9999999999994191.16102641587103e-125.80513207935515e-13
1720.9999999999988812.23754105409765e-121.11877052704883e-12
1730.9999999999978424.31631475853553e-122.15815737926777e-12
1740.9999999999959268.14768706912673e-124.07384353456337e-12
1750.9999999999941821.16360164725041e-115.81800823625206e-12
1760.9999999999971995.60101175950132e-122.80050587975066e-12
1770.9999999999950269.94878483014925e-124.97439241507463e-12
1780.9999999999920251.59508490073561e-117.97542450367807e-12
1790.9999999999853362.93284723135244e-111.46642361567622e-11
1800.9999999999899542.00922404475554e-111.00461202237777e-11
1810.999999999995499.02006652531619e-124.5100332626581e-12
1820.9999999999955128.97661190699768e-124.48830595349884e-12
1830.9999999999913111.73771350091315e-118.68856750456577e-12
1840.9999999999834113.31785261921352e-111.65892630960676e-11
1850.9999999999695226.09564837417957e-113.04782418708978e-11
1860.9999999999429481.14103735032393e-105.70518675161963e-11
1870.9999999998927172.14566436298251e-101.07283218149126e-10
1880.9999999998110113.77977934909271e-101.88988967454635e-10
1890.9999999998201253.59750077832158e-101.79875038916079e-10
1900.9999999996858986.28203946677288e-103.14101973338644e-10
1910.9999999994821311.03573699447428e-095.17868497237139e-10
1920.9999999990695821.86083528775255e-099.30417643876277e-10
1930.9999999982881763.42364756516342e-091.71182378258171e-09
1940.999999998707052.58590033053434e-091.29295016526717e-09
1950.9999999983140773.37184539761836e-091.68592269880918e-09
1960.999999997169525.66096034607957e-092.83048017303978e-09
1970.9999999948955671.02088657217472e-085.10443286087359e-09
1980.9999999922786921.54426160437285e-087.72130802186423e-09
1990.9999999883401672.33196665152111e-081.16598332576056e-08
2000.9999999792179814.15640379682235e-082.07820189841117e-08
2010.9999999878948412.4210317463284e-081.2105158731642e-08
2020.9999999790864464.18271077628609e-082.09135538814304e-08
2030.9999999644076857.11846296791952e-083.55923148395976e-08
2040.999999941147261.1770548082419e-075.8852740412095e-08
2050.9999999370442121.25911576721532e-076.29557883607662e-08
2060.9999998891973652.21605270775162e-071.10802635387581e-07
2070.9999998397516373.20496726396076e-071.60248363198038e-07
2080.9999998332209763.33558048059173e-071.66779024029586e-07
2090.9999997106782465.78643507103808e-072.89321753551904e-07
2100.999999576348298.47303420139154e-074.23651710069577e-07
2110.999999279339951.44132009942097e-067.20660049710487e-07
2120.9999989883973482.02320530396374e-061.01160265198187e-06
2130.9999987497634842.5004730312678e-061.2502365156339e-06
2140.9999982002197743.59956045185001e-061.79978022592501e-06
2150.9999971282174235.74356515459924e-062.87178257729962e-06
2160.9999952106161069.57876778821672e-064.78938389410836e-06
2170.9999927654794321.44690411353376e-057.23452056766879e-06
2180.9999882164494562.35671010874562e-051.17835505437281e-05
2190.9999825110573923.49778852163807e-051.74889426081904e-05
2200.999980993161553.80136769000787e-051.90068384500394e-05
2210.9999693660369226.12679261565531e-053.06339630782765e-05
2220.99995175422439.64915513999939e-054.82457756999969e-05
2230.9999263833557890.0001472332884215947.36166442107969e-05
2240.999900984429320.0001980311413598859.90155706799426e-05
2250.999849572367140.0003008552657195030.000150427632859752
2260.999814097326540.0003718053469192270.000185902673459613
2270.9997125078361420.000574984327716290.000287492163858145
2280.9996183380594460.0007633238811075480.000381661940553774
2290.9994932074089160.00101358518216870.000506792591084351
2300.9993235654555030.001352869088993390.000676434544496695
2310.9989801103645920.002039779270816290.00101988963540814
2320.9984860771837650.003027845632470840.00151392281623542
2330.9980714514363370.003857097127325710.00192854856366286
2340.9975887834028430.004822433194313840.00241121659715692
2350.9970361303283090.005927739343382460.00296386967169123
2360.9965793538522650.006841292295470230.00342064614773512
2370.9980962847614380.003807430477124220.00190371523856211
2380.9972097839503060.005580432099388140.00279021604969407
2390.996707528671320.006584942657359990.00329247132868
2400.9955843025245580.008831394950884090.00441569747544204
2410.9944420490162750.01111590196745040.00555795098372519
2420.9999999964571847.08563192988064e-093.54281596494032e-09
2430.9999999992998251.4003496674805e-097.00174833740248e-10
2440.9999999987829552.43409067119099e-091.2170453355955e-09
2450.9999999972914915.41701784942824e-092.70850892471412e-09
2460.9999999939762521.20474959351478e-086.02374796757392e-09
2470.999999989070752.18584991369762e-081.09292495684881e-08
2480.9999999758185384.83629237803725e-082.41814618901863e-08
2490.9999999436426941.12714612105378e-075.63573060526891e-08
2500.9999999043300231.91339954001201e-079.56699770006003e-08
2510.9999997927576284.14484743554199e-072.07242371777099e-07
2520.9999996355491177.28901766509945e-073.64450883254972e-07
2530.9999991213035811.75739283870525e-068.78696419352626e-07
2540.9999991284949231.74301015302797e-068.71505076513985e-07
2550.9999982388313473.5223373068601e-061.76116865343005e-06
2560.9999963826326377.23473472596676e-063.61736736298338e-06
2570.9999933285691311.33428617376437e-056.67143086882185e-06
2580.9999855519354652.88961290708663e-051.44480645354332e-05
2590.9999743361860985.13276278044778e-052.56638139022389e-05
2600.9999673489770416.53020459177638e-053.26510229588819e-05
2610.9999344563524660.0001310872950682966.55436475341482e-05
2620.9999578416517358.43166965310186e-054.21583482655093e-05
2630.9999018556495980.0001962887008030239.81443504015114e-05
2640.9998433713410140.000313257317972790.000156628658986395
2650.9998634034417330.0002731931165348050.000136596558267402
2660.9996721524143420.0006556951713163520.000327847585658176
2670.99963582300870.0007283539826008630.000364176991300432
2680.9996892599143250.0006214801713494790.000310740085674739
2690.9999082565941540.0001834868116922159.17434058461077e-05
2700.9997923636730080.0004152726539850570.000207636326992529
2710.9999905899836931.88200326135802e-059.41001630679012e-06
2720.9999655797933756.88404132494922e-053.44202066247461e-05
2730.9999103916417360.0001792167165273268.96083582636631e-05
2740.9997767647413630.0004464705172737170.000223235258636858
2750.9990794127055740.001841174588851430.000920587294425714
2760.9961149059876080.007770188024783310.00388509401239166
2770.986273549637180.02745290072564090.0137264503628205
2780.9699632356559070.06007352868818560.0300367643440928






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1720.641791044776119NOK
5% type I error level2030.757462686567164NOK
10% type I error level2200.82089552238806NOK

\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 & 172 & 0.641791044776119 & NOK \tabularnewline
5% type I error level & 203 & 0.757462686567164 & NOK \tabularnewline
10% type I error level & 220 & 0.82089552238806 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=199777&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]172[/C][C]0.641791044776119[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]203[/C][C]0.757462686567164[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]220[/C][C]0.82089552238806[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=199777&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=199777&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 level1720.641791044776119NOK
5% type I error level2030.757462686567164NOK
10% type I error level2200.82089552238806NOK


Figures (Output of Computation)

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Input Parameters & R Code

Parameters (Session):
par1 = 2 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 2 ; 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')
}