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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 computationThu, 06 Dec 2012 11:13:00 -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/06/t1354810507l737fg1farszn3u.htm/, Retrieved Sat, 20 Apr 2024 07:31:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=197161, Retrieved Sat, 20 Apr 2024 07:31:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact107

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [] [2010-12-05 18:56:24] [b98453cac15ba1066b407e146608df68]
- R PD  [Multiple Regression] [] [2012-12-06 16:03:19] [bbed103f50d9b60ea97669d7e6947a11]
-           [Multiple Regression] [] [2012-12-06 16:13:00] [195a7509fef65339447329cdcf8835cc] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
56	396	81	3	79	30	115
56	297	55	4	58	28	109
54	559	50	12	60	38	146
89	967	125	2	108	30	116
40	270	40	1	49	22	68
25	143	37	3	0	26	101
92	1562	63	0	121	25	96
18	109	44	0	1	18	67
63	371	88	0	20	11	44
44	656	66	5	43	26	100
33	511	57	0	69	25	93
84	655	74	0	78	38	140
88	465	49	7	86	44	166
55	525	52	7	44	30	99
60	885	88	3	104	40	139
66	497	36	9	63	34	130
154	1436	108	0	158	47	181
53	612	43	4	102	30	116
119	865	75	3	77	31	116
41	385	32	0	82	23	88
61	567	44	7	115	36	139
58	639	85	0	101	36	135
75	963	86	1	80	30	108
33	398	56	5	50	25	89
40	410	50	7	83	39	156
92	966	135	0	123	34	129
100	801	63	0	73	31	118
112	892	81	5	81	31	118
73	513	52	0	105	33	125
40	469	44	0	47	25	95
45	683	113	0	105	33	126
60	643	39	3	94	35	135
62	535	73	4	44	42	154
75	625	48	1	114	43	165
31	264	33	4	38	30	113
77	992	59	2	107	33	127
34	238	41	0	30	13	52
46	818	69	0	71	32	121
99	937	64	0	84	36	136
17	70	1	0	0	0	0
66	507	59	2	59	28	108
30	260	32	1	33	14	46
76	503	129	0	42	17	54
146	927	37	2	96	32	124
67	1269	31	10	106	30	115
56	537	65	6	56	35	128
107	910	107	0	57	20	80
58	532	74	5	59	28	97
34	345	54	4	39	28	104
61	918	76	1	34	39	59
119	1635	715	2	76	34	125
42	330	57	2	20	26	82
66	557	66	0	91	39	149
89	1178	106	8	115	39	149
44	740	54	3	85	33	122
66	452	32	0	76	28	118
24	218	20	0	8	4	12
259	764	71	8	79	39	144
17	255	21	5	21	18	67
64	454	70	3	30	14	52
41	866	112	1	76	29	108
68	574	66	5	101	44	166
168	1276	190	1	94	21	80
43	379	66	1	27	16	60
132	825	165	5	92	28	107
105	798	56	0	123	35	127
71	663	61	12	75	28	107
112	1069	53	8	128	38	146
94	921	127	8	105	23	84
82	858	63	8	55	36	141
70	711	38	8	56	32	123
57	503	50	2	41	29	111
53	382	52	0	72	25	98
103	464	42	5	67	27	105
121	717	76	8	75	36	135
62	690	67	2	114	28	107
52	462	50	5	118	23	85
52	657	53	12	77	40	155
32	385	39	6	22	23	88
62	577	50	7	66	40	155
45	619	77	2	69	28	104
46	479	57	0	105	34	132
63	817	73	4	116	33	127
75	752	34	3	88	28	108
88	430	39	6	73	34	129
46	451	46	2	99	30	116
53	537	63	0	62	33	122
37	519	35	1	53	22	85
90	1000	106	0	118	38	147
63	637	43	5	30	26	99
78	465	47	2	100	35	87
25	437	31	0	49	8	28
45	711	162	0	24	24	90
46	299	57	5	67	29	109
41	248	36	0	46	20	78
144	1162	263	1	57	29	111
82	714	78	0	75	45	158
91	905	63	1	135	37	141
71	649	54	1	68	33	122
63	512	63	2	124	33	124
53	472	77	6	33	25	93
62	905	79	1	98	32	124
63	786	110	4	58	29	112
32	489	56	2	68	28	108
39	479	56	3	81	28	99
62	617	43	0	131	31	117
117	925	111	10	110	52	199
34	351	71	0	37	21	78
92	1144	62	9	130	24	91
93	669	56	7	93	41	158
54	707	74	0	118	33	126
144	458	60	0	39	32	122
14	214	43	4	13	19	71
61	599	68	4	74	20	75
109	572	53	0	81	31	115
38	897	87	0	109	31	119
73	819	46	0	151	32	124
75	720	105	1	51	18	72
50	273	32	0	28	23	91
61	508	133	1	40	17	45
55	506	79	0	56	20	78
77	451	51	0	27	12	39
75	699	207	4	37	17	68
72	407	67	0	83	30	119
50	465	47	4	54	31	117
32	245	34	4	27	10	39
53	370	66	3	28	13	50
42	316	76	0	59	22	88
71	603	65	0	133	42	155
10	154	9	0	12	1	0
35	229	42	5	0	9	36
65	577	45	0	106	32	123
25	192	25	4	23	11	32
66	617	115	0	44	25	99
41	411	97	0	71	36	136
86	975	53	1	116	31	117
16	146	2	0	4	0	0
42	705	52	5	62	24	88
19	184	44	0	12	13	39
19	200	22	0	18	8	25
45	274	35	0	14	13	52
65	502	74	0	60	19	75
35	382	103	0	7	18	71
95	964	144	2	98	33	124
49	537	60	7	64	40	151
37	438	134	1	29	22	71
64	369	89	8	32	38	145
38	417	42	2	25	24	87
34	276	52	0	16	8	27
32	514	98	2	48	35	131
65	822	99	0	100	43	162
52	389	52	0	46	43	165
62	466	29	1	45	14	54
65	1255	125	3	129	41	159
83	694	106	0	130	38	147
95	1024	95	3	136	45	170
29	400	40	0	59	31	119
18	397	140	0	25	13	49
33	350	43	0	32	28	104
247	719	128	4	63	31	120
139	1277	142	4	95	40	150
29	356	73	11	14	30	112
118	457	72	0	36	16	59
110	1402	128	0	113	37	136
67	600	61	4	47	30	107
42	480	73	0	92	35	130
65	595	148	1	70	32	115
94	436	64	0	19	27	107
64	230	45	0	50	20	75
81	651	58	0	41	18	71
95	1367	97	9	91	31	120
67	564	50	1	111	31	116
63	716	37	3	41	21	79
83	747	50	10	120	39	150
45	467	105	5	135	41	156
30	671	69	0	27	13	51
70	861	46	2	87	32	118
32	319	57	0	25	18	71
83	612	52	1	131	39	144
31	433	98	2	45	14	47
67	434	61	4	29	7	28
66	503	89	0	58	17	68
10	85	0	0	4	0	0
70	564	48	2	47	30	110
103	824	91	1	109	37	147
5	74	0	0	7	0	0
20	259	7	0	12	5	15
5	69	3	0	0	1	4
36	535	54	1	37	16	64
34	239	70	0	37	32	111
48	438	36	2	46	24	85
40	459	37	0	15	17	68
43	426	123	3	42	11	40
31	288	247	6	7	24	80
42	498	46	0	54	22	88
46	454	72	2	54	12	48
33	376	41	0	14	19	76
18	225	24	2	16	13	51
55	555	45	1	33	17	67
35	252	33	1	32	15	59
59	208	27	2	21	16	61
19	130	36	1	15	24	76
66	481	87	0	38	15	60
60	389	90	1	22	17	68
36	565	114	3	28	18	71
25	173	31	0	10	20	76
47	278	45	0	31	16	62
54	609	69	0	32	16	61
53	422	51	0	32	18	67
40	445	34	1	43	22	88
40	387	60	4	27	8	30
39	339	45	0	37	17	64
14	181	54	0	20	18	68
45	245	25	0	32	16	64
36	384	38	7	0	23	91
28	212	52	2	5	22	88
44	399	67	0	26	13	52
30	229	74	7	10	13	49
22	224	38	3	27	16	62
17	203	30	0	11	16	61
31	333	26	0	29	20	76
55	384	67	6	25	22	88
54	636	132	2	55	17	66
21	185	42	0	23	18	71
14	93	35	0	5	17	68
81	581	118	3	43	12	48
35	248	68	0	23	7	25
43	304	43	1	34	17	68
46	344	76	1	36	14	41
30	407	64	0	35	23	90
23	170	48	1	0	17	66
38	312	64	0	37	14	54
54	507	56	0	28	15	59
20	224	71	0	16	17	60
53	340	75	0	26	21	77
45	168	39	0	38	18	68
39	443	42	0	23	18	72
20	204	39	0	22	17	67
24	367	93	0	30	17	64
31	210	38	0	16	16	63
35	335	60	0	18	15	59
151	364	71	0	28	21	84
52	178	52	0	32	16	64
30	206	27	2	21	14	56
31	279	59	0	23	15	54
29	387	40	1	29	17	67
57	490	79	1	50	15	58
40	238	44	0	12	15	59
44	343	65	0	21	10	40
25	232	10	0	18	6	22
77	530	124	0	27	22	83
35	291	81	0	41	21	81
11	67	15	0	13	1	2
63	397	92	1	12	18	72
44	467	42	0	21	17	61
19	178	10	0	8	4	15
13	175	24	0	26	10	32
42	299	64	0	27	16	62
38	154	45	1	13	16	58
29	106	22	0	16	9	36
20	189	56	0	2	16	59
27	194	94	0	42	17	68
20	135	19	0	5	7	21
19	201	35	0	37	15	55
37	207	32	0	17	14	54
26	280	35	0	38	14	55
42	260	48	0	37	18	72
49	227	49	0	29	12	41
30	239	48	0	32	16	61
49	333	62	0	35	21	67
67	428	96	1	17	19	76
28	230	45	0	20	16	64
19	292	63	0	7	1	3
49	350	71	1	46	16	63
27	186	26	0	24	10	40
30	326	48	6	40	19	69
22	155	29	3	3	12	48
12	75	19	1	10	2	8
31	361	45	2	37	14	52
20	261	45	0	17	17	66
20	299	67	0	28	19	76
39	300	30	0	19	14	43
29	450	36	3	29	11	39
16	183	34	1	8	4	14
27	238	36	0	10	16	61
21	165	34	0	15	20	71
19	234	37	1	15	12	44
35	176	46	0	28	15	60
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 time13 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 13 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197161&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]13 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197161&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197161&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 time13 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Multiple Linear Regression - Estimated Regression Equation
feedback_messages_p1[t] = + 1.19908515081637 + 0.0229634417608474logins[t] -0.00385253896392885compendium_views_info[t] -0.00037209842668945compendium_views_pr[t] + 0.228042855348767shared_compendiums[t] + 0.0593608333763355blogged_computations[t] + 3.58091199198788compendiums_reviewed[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
feedback_messages_p1[t] =  +  1.19908515081637 +  0.0229634417608474logins[t] -0.00385253896392885compendium_views_info[t] -0.00037209842668945compendium_views_pr[t] +  0.228042855348767shared_compendiums[t] +  0.0593608333763355blogged_computations[t] +  3.58091199198788compendiums_reviewed[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197161&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]feedback_messages_p1[t] =  +  1.19908515081637 +  0.0229634417608474logins[t] -0.00385253896392885compendium_views_info[t] -0.00037209842668945compendium_views_pr[t] +  0.228042855348767shared_compendiums[t] +  0.0593608333763355blogged_computations[t] +  3.58091199198788compendiums_reviewed[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197161&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197161&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
feedback_messages_p1[t] = + 1.19908515081637 + 0.0229634417608474logins[t] -0.00385253896392885compendium_views_info[t] -0.00037209842668945compendium_views_pr[t] + 0.228042855348767shared_compendiums[t] + 0.0593608333763355blogged_computations[t] + 3.58091199198788compendiums_reviewed[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)1.199085150816371.0922531.09780.2732250.136612
logins0.02296344176084740.0174811.31370.1900280.095014
compendium_views_info-0.003852538963928850.002872-1.34140.1808680.090434
compendium_views_pr-0.000372098426689450.009801-0.0380.9697430.484871
shared_compendiums0.2280428553487670.1694781.34560.1795270.089763
blogged_computations0.05936083337633550.0217382.73070.0067180.003359
compendiums_reviewed3.580911991987880.0660354.231800

\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) & 1.19908515081637 & 1.092253 & 1.0978 & 0.273225 & 0.136612 \tabularnewline
logins & 0.0229634417608474 & 0.017481 & 1.3137 & 0.190028 & 0.095014 \tabularnewline
compendium_views_info & -0.00385253896392885 & 0.002872 & -1.3414 & 0.180868 & 0.090434 \tabularnewline
compendium_views_pr & -0.00037209842668945 & 0.009801 & -0.038 & 0.969743 & 0.484871 \tabularnewline
shared_compendiums & 0.228042855348767 & 0.169478 & 1.3456 & 0.179527 & 0.089763 \tabularnewline
blogged_computations & 0.0593608333763355 & 0.021738 & 2.7307 & 0.006718 & 0.003359 \tabularnewline
compendiums_reviewed & 3.58091199198788 & 0.06603 & 54.2318 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197161&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]1.19908515081637[/C][C]1.092253[/C][C]1.0978[/C][C]0.273225[/C][C]0.136612[/C][/ROW]
[ROW][C]logins[/C][C]0.0229634417608474[/C][C]0.017481[/C][C]1.3137[/C][C]0.190028[/C][C]0.095014[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]-0.00385253896392885[/C][C]0.002872[/C][C]-1.3414[/C][C]0.180868[/C][C]0.090434[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]-0.00037209842668945[/C][C]0.009801[/C][C]-0.038[/C][C]0.969743[/C][C]0.484871[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]0.228042855348767[/C][C]0.169478[/C][C]1.3456[/C][C]0.179527[/C][C]0.089763[/C][/ROW]
[ROW][C]blogged_computations[/C][C]0.0593608333763355[/C][C]0.021738[/C][C]2.7307[/C][C]0.006718[/C][C]0.003359[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]3.58091199198788[/C][C]0.06603[/C][C]54.2318[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197161&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197161&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)1.199085150816371.0922531.09780.2732250.136612
logins0.02296344176084740.0174811.31370.1900280.095014
compendium_views_info-0.003852538963928850.002872-1.34140.1808680.090434
compendium_views_pr-0.000372098426689450.009801-0.0380.9697430.484871
shared_compendiums0.2280428553487670.1694781.34560.1795270.089763
blogged_computations0.05936083337633550.0217382.73070.0067180.003359
compendiums_reviewed3.580911991987880.0660354.231800






Multiple Linear Regression - Regression Statistics
Multiple R0.984638159604947
R-squared0.969512305350217
Adjusted R-squared0.968863630995966
F-TEST (value)1494.60557365509
F-TEST (DF numerator)6
F-TEST (DF denominator)282
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation7.09567512751829
Sum Squared Residuals14198.3067553094

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.984638159604947 \tabularnewline
R-squared & 0.969512305350217 \tabularnewline
Adjusted R-squared & 0.968863630995966 \tabularnewline
F-TEST (value) & 1494.60557365509 \tabularnewline
F-TEST (DF numerator) & 6 \tabularnewline
F-TEST (DF denominator) & 282 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 7.09567512751829 \tabularnewline
Sum Squared Residuals & 14198.3067553094 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197161&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.984638159604947[/C][/ROW]
[ROW][C]R-squared[/C][C]0.969512305350217[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.968863630995966[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]1494.60557365509[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]6[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]282[/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]7.09567512751829[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]14198.3067553094[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197161&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197161&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 R0.984638159604947
R-squared0.969512305350217
Adjusted R-squared0.968863630995966
F-TEST (value)1494.60557365509
F-TEST (DF numerator)6
F-TEST (DF denominator)282
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation7.09567512751829
Sum Squared Residuals14198.3067553094






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1115113.7302866495591.26971335044075
2109105.9410039365523.05899606344794
3146142.6397567660363.36024323396393
4116113.7653294610542.23467053894553
56882.9793408784444-14.9793408784444
610194.99633083893936.0036691610607
79693.97607436850952.0239256314905
86765.69190471382711.30809528617285
94441.76099394397682.23900605602318
1010096.45409443540593.54590556459414
119393.5857190106994-0.585719010699443
12140141.281866652673-1.28186665267261
13166165.6716638899090.328336110090981
1499112.055678789049-13.0556787890489
15139149.228784928542-10.2287849285417
16130128.3296908270351.67030917296534
17181176.8448978965944.15510210340624
18116114.4367296712871.56327032871325
19116116.834565622205-0.834565622205338
208887.87401576482510.1259842351749
21139137.734720712191.26527928781044
22135134.94583989130.0541601087001896
23108111.583617081013-3.58361708101304
248994.0337864546435-5.03378645464355
25156146.6982937699099.30170623009065
26129128.5923260989330.407673901066961
27118115.7277160040092.27228399599068
28118117.2610994314960.738900568503932
29125125.28269803279-0.282698032790018
309592.6071686847782.39283131522203
31126123.962092035592.03790796440967
32135131.6811638870183.31883611298243
33154154.456898762583-0.456898762583274
34165161.4700392216733.52996077832701
35113111.4768451601771.52315483982323
36127124.1013883245752.89861167542514
375249.38036275890832.6196372410917
38121117.8821547212123.11784527878816
39136133.7379642918072.26203570819347
4001.31941383484905-1.31941383484905
41108104.9633919007083.03660809929245
424653.1941393679643-7.19413936796433
435464.3271377943416-10.3271377943416
44124121.7105858449882.28941415501169
45115113.8372654033561.16273459664441
46128130.416421588802-2.41642158880227
478075.11235577260474.88764422739534
4897105.361917982169-8.36191798216851
49104104.123402611821-0.123402611821182
5059140.936823726584-81.9368237265843
51125124.0852999141370.91470008586259
528295.6180164062632-13.6180164062632
53149145.6016531327363.39834686726388
54149146.971504503392.0284954966096
55122123.23839957858-1.2383995785798
56118105.73837665794412.2616233420556
571215.7014469253686-3.7014469253686
58144150.346274177187-6.34627417718706
596767.4424597914171-0.442459791417087
605253.4913672991853-1.49136729918527
61108107.3485264560580.651473543941811
62166165.2204694243180.779530575682393
638081.0775179720642-1.07751797206421
646059.82721961135810.172780388641889
65107107.85746530063-0.857465300630392
66127133.14838515546-6.14838515546044
67107107.706670721795-0.706670721794553
68146145.1300904694770.869909530522836
698490.1804099533945-6.1804099533945
70141133.7551871333267.2448128666744
71123119.7909643859853.20903561401497
72111107.287896957773.71210304223031
739894.72190836452573.27809163547433
74105103.5631273356311.43687266436933
75135136.376348743892-1.37634874389236
76107107.42839255155-0.428392551550123
778591.1004746305834-6.1004746305834
78155150.3861229201434.61387707985728
798885.47134722950312.52865277049688
80155149.1318933062625.86810669373796
81104104.636585821853-0.636585821852672
82132128.3727229298753.62727707012485
83127125.4392182917211.56078170827855
84108106.1850003143221.81499968567766
85129129.001370128794-0.00137012879352919
86116114.2609598460471.73904015395325
87122122.174359344563-0.174359344562766
888582.19047217678232.80952782321766
89147142.4530475460824.54695245391842
909996.20046549909812.79953450090189
9187132.905403131788-45.9054031317879
922831.6340533877167-3.63405338771671
939086.79955269031853.20044730968152
94109110.046122591886-1.04612259188605
957875.52059923166492.47940076833511
96111107.3893667275223.61063327247796
97158165.895453020358-7.89545302035847
98141140.5142674525220.485732547478088
99122122.743773673745-0.743773673744976
100124126.6367646163-2.63676461629979
1019393.4190620275204-0.419062027520351
102124119.7414632717674.25853672823349
103112107.7783030540374.22169694596322
104108104.7873443778573.21265562214344
10599105.986347549063-6.9863475490629
106117119.014342690821-2.01434269082127
107199195.2984501780933.70154982190707
1087877.9966846727210.00331532727898739
1099194.5925289603965-3.5925289603965
110158154.6707483187563.32925168124435
111126124.8625047488371.13749525116308
112122119.6232882585872.37671174141327
1137170.40131986789690.598680132103116
1147577.1899944968212-2.1899944968212
115115117.295226053874-2.29522605387423
116119116.0621985136072.93780148639286
117124123.2557400437110.744259956288522
1187267.82030610737244.1796938926276
1199185.30668610231065.69331389768936
1204564.0712562679986-19.0712562679986
1217875.42574046503882.57425953496118
1223945.7844844789241-6.78448447892412
1236864.13542029288233.86457970711769
124119113.6138479345625.38615206543772
125117115.6642661699191.33573383008123
1263939.3014257369283-0.301425736928348
1275049.86423744775220.135762552247827
1288883.20022090467914.79977909532089
129155158.775516625396-3.77551662539603
13005.12532167464348-5.12532167464348
1313634.47336826042011.52663173957993
132123121.3334815353871.66651846461292
1333242.6916837540134-10.6916837540134
1349992.42954091547466.57045908452543
135136133.6485500827312.35144991726916
136117117.520165714432-0.52016571443192
13701.24072866690827-1.24072866690827
1388890.1906343707999-2.19063437079993
1393948.1743369404936-9.17433694049363
1402530.5724875227766-5.57248752277656
1415248.54672847211493.45327152788506
1427572.32917687215392.67082312784608
1437165.36475127969235.63524872030769
144124124.056725500605-0.0567255006045038
145151148.8650274709092.13497252909139
1467181.0410300875863-10.0410300875863
147145141.0125869922183.98741300778233
1488788.3315534086642-1.33155340866423
1492730.4942615683773-3.49426156837733
150131128.5545700462262.4454299537742
151162159.4033830857922.5966169142081
152165157.5850113380147.41498866198563
1535453.84879277353820.151207226461803
154159152.9693279053016.03067209469894
155147144.1835103772342.8164896227661
156170169.2985044131810.701495586819412
157119114.819686360074.18031363993022
1584948.06675208434610.933247915653883
159104102.7575723029051.24242769709514
160120119.7136268277930.286373172207057
161150149.2064035937090.793596406290897
162112111.2332407413150.766759258684633
1635961.5529517587133-2.55295175871332
164136137.477693393542-1.47769339354241
165107111.532904716127-4.5329047161269
166130131.080284207136-1.08028420713631
167115119.316862549888-4.31686254988803
16810799.46660700657797.53339299342206
1697576.3521985411802-1.35219854118024
1707167.41974938339093.58025061660915
171120116.5405910940273.45940890597314
172116118.371565963549-2.37156596354897
1737978.19067100801060.809328991989357
174150149.2678955357520.732104464247528
175156156.365552453149-0.365552453149367
1765147.43185836440743.5681416355926
177118119.682035456556-1.68203545655599
1787166.6241824375394.37581756246096
179144148.38782756803-4.38782756803028
1804753.4664279286688-6.46642792866878
1812828.7429553676439-0.742955367643899
1826865.06216064782212.93783935217793
18301.33869708999622-1.33869708999622
184110111.28923801296-1.28923801296031
185147139.5480839859987.45191601400171
18601.44434030992419-1.44434030992419
1871519.2748316658443-4.2748316658443
18844.62787286781729-0.627872867817294
1896459.66355295554294.33644704445709
190111117.818573046974-6.81857304697438
1918589.7290945994934-4.72909459949338
1926862.10145615945835.89854384054166
1934043.0668789211353-3.06687892113533
1948088.4351830858348-8.43518308583482
1958882.21341759916315.78658240083693
1964847.11207431234420.887925687655834
1977669.36144755803126.63855244196884
1985148.69439041394842.30560958605164
1996763.36962511404323.63037488595683
2005956.86095594866482.13904405133516
2016160.73980853609510.260191463904856
2027688.1815080993037-12.1815080993037
2036056.79862005037943.20137994962058
2046863.45425019451894.54574980548112
2057166.60931307530994.39068692469006
2067673.30699507637142.69300492362864
2076260.32539435887541.67460564112463
2086159.26137852527661.73862147472337
2096767.1273616254266-0.127361625426645
2108881.95121415005896.04878584994105
2113031.7665741950676-1.76657419506756
2126463.84375894023480.156241059765181
2136866.44680299126441.55319700873564
2146460.47340406307343.52659593692655
2159184.48953015500656.51046984499348
2168880.53892784289187.46107215710819
2175248.7426205107253.25737948927504
2184949.7199859143742-0.719985914374176
2196260.40863534043411.59136465956588
2206158.74379633721822.25620366278176
2217673.95808581899172.04191418100834
2228882.59011068116045.40988931883964
2236664.53621464271021.46378535728976
2247166.77468460898394.22531539101614
2256862.32157179756435.67842820243571
2264846.98447948613621.01552051386378
2272527.4537563679476-2.45375636794762
2286864.12115612308893.87884387691114
2294153.3996513325225-12.3996513325225
2309084.73479572990755.26520427009248
2316662.15799868210953.84200131789048
2325453.17500820442930.824991795570685
2335955.84081945365113.15918054634888
2346062.5942434676336-2.59424346763356
2357777.8209104339339-0.820910433933881
2366868.2828291695561-0.28282916955608
2377266.19407150798555.80592849201453
2386763.03936639682423.96063360317578
2396462.95804966471671.04195033528334
2406359.33214412859083.66785587140924
2415955.47205403452073.52794596547933
2428480.09907685182213.90092314817794
2436460.8822216084623.117778391538
2445652.91974981898273.08025018101733
2455455.8931187147657-1.89311871476566
2466763.18421933282933.81578066717071
2475857.50062586713470.499374132865253
2485955.6103560973953.38964390260497
2494037.9195667467132.08043325328696
2502223.4296281236404-1.42962812364044
2518381.26209063550421.73790936449583
2528178.4845228015562.51547719844396
25325.54058424908234-3.54058424908234
2547266.47887966946115.52112033053887
2556162.5167941229149-1.51679412291486
2561515.7444522593884-0.74445225938841
2573238.1669868004428-6.16698680044277
2586259.88516062821622.11483937178382
2595859.7559860691296-1.75598606912965
2603634.62645092822961.37354907177044
2615958.32270014851480.677299851485156
2626864.40538713284823.59461286715177
2632126.4943794665926-5.49437946659261
2645556.7580374823312-1.75803748233119
2655452.38125183600841.61874816399165
2665553.09287983789521.9071201621048
2677267.79679554037554.20320445962445
2684146.1239427011465-5.12394270114649
2696160.14350940663050.856490593369547
2706778.295109219572-11.295109219572
2717670.32753249378555.67246750621448
2726459.42104166854824.57895833145184
27334.48344479154603-1.48344479154603
2746361.20271923389411.79728076610595
2754038.32663119288541.67336880711464
2766972.3942182918356-3.39421829183556
2774844.92950144580193.07049855419814
27889.16211133263262-1.16211133263262
2795253.2886452836755-1.28864528367551
2806662.52073491843853.47926508156154
2817670.18094542353745.81905457646257
2824352.1883584594907-9.18835845949071
2833941.9136115305788-2.9136115305788
2841415.8754117323944-1.87541173239444
2856158.77699846715272.22300153284727
2867173.541649492641-2.54164949264102
2874444.8095280447739-0.809528044773914
2886056.68342544152243.31657455847764
2896458.5404417247655.45955827523497

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 115 & 113.730286649559 & 1.26971335044075 \tabularnewline
2 & 109 & 105.941003936552 & 3.05899606344794 \tabularnewline
3 & 146 & 142.639756766036 & 3.36024323396393 \tabularnewline
4 & 116 & 113.765329461054 & 2.23467053894553 \tabularnewline
5 & 68 & 82.9793408784444 & -14.9793408784444 \tabularnewline
6 & 101 & 94.9963308389393 & 6.0036691610607 \tabularnewline
7 & 96 & 93.9760743685095 & 2.0239256314905 \tabularnewline
8 & 67 & 65.6919047138271 & 1.30809528617285 \tabularnewline
9 & 44 & 41.7609939439768 & 2.23900605602318 \tabularnewline
10 & 100 & 96.4540944354059 & 3.54590556459414 \tabularnewline
11 & 93 & 93.5857190106994 & -0.585719010699443 \tabularnewline
12 & 140 & 141.281866652673 & -1.28186665267261 \tabularnewline
13 & 166 & 165.671663889909 & 0.328336110090981 \tabularnewline
14 & 99 & 112.055678789049 & -13.0556787890489 \tabularnewline
15 & 139 & 149.228784928542 & -10.2287849285417 \tabularnewline
16 & 130 & 128.329690827035 & 1.67030917296534 \tabularnewline
17 & 181 & 176.844897896594 & 4.15510210340624 \tabularnewline
18 & 116 & 114.436729671287 & 1.56327032871325 \tabularnewline
19 & 116 & 116.834565622205 & -0.834565622205338 \tabularnewline
20 & 88 & 87.8740157648251 & 0.1259842351749 \tabularnewline
21 & 139 & 137.73472071219 & 1.26527928781044 \tabularnewline
22 & 135 & 134.9458398913 & 0.0541601087001896 \tabularnewline
23 & 108 & 111.583617081013 & -3.58361708101304 \tabularnewline
24 & 89 & 94.0337864546435 & -5.03378645464355 \tabularnewline
25 & 156 & 146.698293769909 & 9.30170623009065 \tabularnewline
26 & 129 & 128.592326098933 & 0.407673901066961 \tabularnewline
27 & 118 & 115.727716004009 & 2.27228399599068 \tabularnewline
28 & 118 & 117.261099431496 & 0.738900568503932 \tabularnewline
29 & 125 & 125.28269803279 & -0.282698032790018 \tabularnewline
30 & 95 & 92.607168684778 & 2.39283131522203 \tabularnewline
31 & 126 & 123.96209203559 & 2.03790796440967 \tabularnewline
32 & 135 & 131.681163887018 & 3.31883611298243 \tabularnewline
33 & 154 & 154.456898762583 & -0.456898762583274 \tabularnewline
34 & 165 & 161.470039221673 & 3.52996077832701 \tabularnewline
35 & 113 & 111.476845160177 & 1.52315483982323 \tabularnewline
36 & 127 & 124.101388324575 & 2.89861167542514 \tabularnewline
37 & 52 & 49.3803627589083 & 2.6196372410917 \tabularnewline
38 & 121 & 117.882154721212 & 3.11784527878816 \tabularnewline
39 & 136 & 133.737964291807 & 2.26203570819347 \tabularnewline
40 & 0 & 1.31941383484905 & -1.31941383484905 \tabularnewline
41 & 108 & 104.963391900708 & 3.03660809929245 \tabularnewline
42 & 46 & 53.1941393679643 & -7.19413936796433 \tabularnewline
43 & 54 & 64.3271377943416 & -10.3271377943416 \tabularnewline
44 & 124 & 121.710585844988 & 2.28941415501169 \tabularnewline
45 & 115 & 113.837265403356 & 1.16273459664441 \tabularnewline
46 & 128 & 130.416421588802 & -2.41642158880227 \tabularnewline
47 & 80 & 75.1123557726047 & 4.88764422739534 \tabularnewline
48 & 97 & 105.361917982169 & -8.36191798216851 \tabularnewline
49 & 104 & 104.123402611821 & -0.123402611821182 \tabularnewline
50 & 59 & 140.936823726584 & -81.9368237265843 \tabularnewline
51 & 125 & 124.085299914137 & 0.91470008586259 \tabularnewline
52 & 82 & 95.6180164062632 & -13.6180164062632 \tabularnewline
53 & 149 & 145.601653132736 & 3.39834686726388 \tabularnewline
54 & 149 & 146.97150450339 & 2.0284954966096 \tabularnewline
55 & 122 & 123.23839957858 & -1.2383995785798 \tabularnewline
56 & 118 & 105.738376657944 & 12.2616233420556 \tabularnewline
57 & 12 & 15.7014469253686 & -3.7014469253686 \tabularnewline
58 & 144 & 150.346274177187 & -6.34627417718706 \tabularnewline
59 & 67 & 67.4424597914171 & -0.442459791417087 \tabularnewline
60 & 52 & 53.4913672991853 & -1.49136729918527 \tabularnewline
61 & 108 & 107.348526456058 & 0.651473543941811 \tabularnewline
62 & 166 & 165.220469424318 & 0.779530575682393 \tabularnewline
63 & 80 & 81.0775179720642 & -1.07751797206421 \tabularnewline
64 & 60 & 59.8272196113581 & 0.172780388641889 \tabularnewline
65 & 107 & 107.85746530063 & -0.857465300630392 \tabularnewline
66 & 127 & 133.14838515546 & -6.14838515546044 \tabularnewline
67 & 107 & 107.706670721795 & -0.706670721794553 \tabularnewline
68 & 146 & 145.130090469477 & 0.869909530522836 \tabularnewline
69 & 84 & 90.1804099533945 & -6.1804099533945 \tabularnewline
70 & 141 & 133.755187133326 & 7.2448128666744 \tabularnewline
71 & 123 & 119.790964385985 & 3.20903561401497 \tabularnewline
72 & 111 & 107.28789695777 & 3.71210304223031 \tabularnewline
73 & 98 & 94.7219083645257 & 3.27809163547433 \tabularnewline
74 & 105 & 103.563127335631 & 1.43687266436933 \tabularnewline
75 & 135 & 136.376348743892 & -1.37634874389236 \tabularnewline
76 & 107 & 107.42839255155 & -0.428392551550123 \tabularnewline
77 & 85 & 91.1004746305834 & -6.1004746305834 \tabularnewline
78 & 155 & 150.386122920143 & 4.61387707985728 \tabularnewline
79 & 88 & 85.4713472295031 & 2.52865277049688 \tabularnewline
80 & 155 & 149.131893306262 & 5.86810669373796 \tabularnewline
81 & 104 & 104.636585821853 & -0.636585821852672 \tabularnewline
82 & 132 & 128.372722929875 & 3.62727707012485 \tabularnewline
83 & 127 & 125.439218291721 & 1.56078170827855 \tabularnewline
84 & 108 & 106.185000314322 & 1.81499968567766 \tabularnewline
85 & 129 & 129.001370128794 & -0.00137012879352919 \tabularnewline
86 & 116 & 114.260959846047 & 1.73904015395325 \tabularnewline
87 & 122 & 122.174359344563 & -0.174359344562766 \tabularnewline
88 & 85 & 82.1904721767823 & 2.80952782321766 \tabularnewline
89 & 147 & 142.453047546082 & 4.54695245391842 \tabularnewline
90 & 99 & 96.2004654990981 & 2.79953450090189 \tabularnewline
91 & 87 & 132.905403131788 & -45.9054031317879 \tabularnewline
92 & 28 & 31.6340533877167 & -3.63405338771671 \tabularnewline
93 & 90 & 86.7995526903185 & 3.20044730968152 \tabularnewline
94 & 109 & 110.046122591886 & -1.04612259188605 \tabularnewline
95 & 78 & 75.5205992316649 & 2.47940076833511 \tabularnewline
96 & 111 & 107.389366727522 & 3.61063327247796 \tabularnewline
97 & 158 & 165.895453020358 & -7.89545302035847 \tabularnewline
98 & 141 & 140.514267452522 & 0.485732547478088 \tabularnewline
99 & 122 & 122.743773673745 & -0.743773673744976 \tabularnewline
100 & 124 & 126.6367646163 & -2.63676461629979 \tabularnewline
101 & 93 & 93.4190620275204 & -0.419062027520351 \tabularnewline
102 & 124 & 119.741463271767 & 4.25853672823349 \tabularnewline
103 & 112 & 107.778303054037 & 4.22169694596322 \tabularnewline
104 & 108 & 104.787344377857 & 3.21265562214344 \tabularnewline
105 & 99 & 105.986347549063 & -6.9863475490629 \tabularnewline
106 & 117 & 119.014342690821 & -2.01434269082127 \tabularnewline
107 & 199 & 195.298450178093 & 3.70154982190707 \tabularnewline
108 & 78 & 77.996684672721 & 0.00331532727898739 \tabularnewline
109 & 91 & 94.5925289603965 & -3.5925289603965 \tabularnewline
110 & 158 & 154.670748318756 & 3.32925168124435 \tabularnewline
111 & 126 & 124.862504748837 & 1.13749525116308 \tabularnewline
112 & 122 & 119.623288258587 & 2.37671174141327 \tabularnewline
113 & 71 & 70.4013198678969 & 0.598680132103116 \tabularnewline
114 & 75 & 77.1899944968212 & -2.1899944968212 \tabularnewline
115 & 115 & 117.295226053874 & -2.29522605387423 \tabularnewline
116 & 119 & 116.062198513607 & 2.93780148639286 \tabularnewline
117 & 124 & 123.255740043711 & 0.744259956288522 \tabularnewline
118 & 72 & 67.8203061073724 & 4.1796938926276 \tabularnewline
119 & 91 & 85.3066861023106 & 5.69331389768936 \tabularnewline
120 & 45 & 64.0712562679986 & -19.0712562679986 \tabularnewline
121 & 78 & 75.4257404650388 & 2.57425953496118 \tabularnewline
122 & 39 & 45.7844844789241 & -6.78448447892412 \tabularnewline
123 & 68 & 64.1354202928823 & 3.86457970711769 \tabularnewline
124 & 119 & 113.613847934562 & 5.38615206543772 \tabularnewline
125 & 117 & 115.664266169919 & 1.33573383008123 \tabularnewline
126 & 39 & 39.3014257369283 & -0.301425736928348 \tabularnewline
127 & 50 & 49.8642374477522 & 0.135762552247827 \tabularnewline
128 & 88 & 83.2002209046791 & 4.79977909532089 \tabularnewline
129 & 155 & 158.775516625396 & -3.77551662539603 \tabularnewline
130 & 0 & 5.12532167464348 & -5.12532167464348 \tabularnewline
131 & 36 & 34.4733682604201 & 1.52663173957993 \tabularnewline
132 & 123 & 121.333481535387 & 1.66651846461292 \tabularnewline
133 & 32 & 42.6916837540134 & -10.6916837540134 \tabularnewline
134 & 99 & 92.4295409154746 & 6.57045908452543 \tabularnewline
135 & 136 & 133.648550082731 & 2.35144991726916 \tabularnewline
136 & 117 & 117.520165714432 & -0.52016571443192 \tabularnewline
137 & 0 & 1.24072866690827 & -1.24072866690827 \tabularnewline
138 & 88 & 90.1906343707999 & -2.19063437079993 \tabularnewline
139 & 39 & 48.1743369404936 & -9.17433694049363 \tabularnewline
140 & 25 & 30.5724875227766 & -5.57248752277656 \tabularnewline
141 & 52 & 48.5467284721149 & 3.45327152788506 \tabularnewline
142 & 75 & 72.3291768721539 & 2.67082312784608 \tabularnewline
143 & 71 & 65.3647512796923 & 5.63524872030769 \tabularnewline
144 & 124 & 124.056725500605 & -0.0567255006045038 \tabularnewline
145 & 151 & 148.865027470909 & 2.13497252909139 \tabularnewline
146 & 71 & 81.0410300875863 & -10.0410300875863 \tabularnewline
147 & 145 & 141.012586992218 & 3.98741300778233 \tabularnewline
148 & 87 & 88.3315534086642 & -1.33155340866423 \tabularnewline
149 & 27 & 30.4942615683773 & -3.49426156837733 \tabularnewline
150 & 131 & 128.554570046226 & 2.4454299537742 \tabularnewline
151 & 162 & 159.403383085792 & 2.5966169142081 \tabularnewline
152 & 165 & 157.585011338014 & 7.41498866198563 \tabularnewline
153 & 54 & 53.8487927735382 & 0.151207226461803 \tabularnewline
154 & 159 & 152.969327905301 & 6.03067209469894 \tabularnewline
155 & 147 & 144.183510377234 & 2.8164896227661 \tabularnewline
156 & 170 & 169.298504413181 & 0.701495586819412 \tabularnewline
157 & 119 & 114.81968636007 & 4.18031363993022 \tabularnewline
158 & 49 & 48.0667520843461 & 0.933247915653883 \tabularnewline
159 & 104 & 102.757572302905 & 1.24242769709514 \tabularnewline
160 & 120 & 119.713626827793 & 0.286373172207057 \tabularnewline
161 & 150 & 149.206403593709 & 0.793596406290897 \tabularnewline
162 & 112 & 111.233240741315 & 0.766759258684633 \tabularnewline
163 & 59 & 61.5529517587133 & -2.55295175871332 \tabularnewline
164 & 136 & 137.477693393542 & -1.47769339354241 \tabularnewline
165 & 107 & 111.532904716127 & -4.5329047161269 \tabularnewline
166 & 130 & 131.080284207136 & -1.08028420713631 \tabularnewline
167 & 115 & 119.316862549888 & -4.31686254988803 \tabularnewline
168 & 107 & 99.4666070065779 & 7.53339299342206 \tabularnewline
169 & 75 & 76.3521985411802 & -1.35219854118024 \tabularnewline
170 & 71 & 67.4197493833909 & 3.58025061660915 \tabularnewline
171 & 120 & 116.540591094027 & 3.45940890597314 \tabularnewline
172 & 116 & 118.371565963549 & -2.37156596354897 \tabularnewline
173 & 79 & 78.1906710080106 & 0.809328991989357 \tabularnewline
174 & 150 & 149.267895535752 & 0.732104464247528 \tabularnewline
175 & 156 & 156.365552453149 & -0.365552453149367 \tabularnewline
176 & 51 & 47.4318583644074 & 3.5681416355926 \tabularnewline
177 & 118 & 119.682035456556 & -1.68203545655599 \tabularnewline
178 & 71 & 66.624182437539 & 4.37581756246096 \tabularnewline
179 & 144 & 148.38782756803 & -4.38782756803028 \tabularnewline
180 & 47 & 53.4664279286688 & -6.46642792866878 \tabularnewline
181 & 28 & 28.7429553676439 & -0.742955367643899 \tabularnewline
182 & 68 & 65.0621606478221 & 2.93783935217793 \tabularnewline
183 & 0 & 1.33869708999622 & -1.33869708999622 \tabularnewline
184 & 110 & 111.28923801296 & -1.28923801296031 \tabularnewline
185 & 147 & 139.548083985998 & 7.45191601400171 \tabularnewline
186 & 0 & 1.44434030992419 & -1.44434030992419 \tabularnewline
187 & 15 & 19.2748316658443 & -4.2748316658443 \tabularnewline
188 & 4 & 4.62787286781729 & -0.627872867817294 \tabularnewline
189 & 64 & 59.6635529555429 & 4.33644704445709 \tabularnewline
190 & 111 & 117.818573046974 & -6.81857304697438 \tabularnewline
191 & 85 & 89.7290945994934 & -4.72909459949338 \tabularnewline
192 & 68 & 62.1014561594583 & 5.89854384054166 \tabularnewline
193 & 40 & 43.0668789211353 & -3.06687892113533 \tabularnewline
194 & 80 & 88.4351830858348 & -8.43518308583482 \tabularnewline
195 & 88 & 82.2134175991631 & 5.78658240083693 \tabularnewline
196 & 48 & 47.1120743123442 & 0.887925687655834 \tabularnewline
197 & 76 & 69.3614475580312 & 6.63855244196884 \tabularnewline
198 & 51 & 48.6943904139484 & 2.30560958605164 \tabularnewline
199 & 67 & 63.3696251140432 & 3.63037488595683 \tabularnewline
200 & 59 & 56.8609559486648 & 2.13904405133516 \tabularnewline
201 & 61 & 60.7398085360951 & 0.260191463904856 \tabularnewline
202 & 76 & 88.1815080993037 & -12.1815080993037 \tabularnewline
203 & 60 & 56.7986200503794 & 3.20137994962058 \tabularnewline
204 & 68 & 63.4542501945189 & 4.54574980548112 \tabularnewline
205 & 71 & 66.6093130753099 & 4.39068692469006 \tabularnewline
206 & 76 & 73.3069950763714 & 2.69300492362864 \tabularnewline
207 & 62 & 60.3253943588754 & 1.67460564112463 \tabularnewline
208 & 61 & 59.2613785252766 & 1.73862147472337 \tabularnewline
209 & 67 & 67.1273616254266 & -0.127361625426645 \tabularnewline
210 & 88 & 81.9512141500589 & 6.04878584994105 \tabularnewline
211 & 30 & 31.7665741950676 & -1.76657419506756 \tabularnewline
212 & 64 & 63.8437589402348 & 0.156241059765181 \tabularnewline
213 & 68 & 66.4468029912644 & 1.55319700873564 \tabularnewline
214 & 64 & 60.4734040630734 & 3.52659593692655 \tabularnewline
215 & 91 & 84.4895301550065 & 6.51046984499348 \tabularnewline
216 & 88 & 80.5389278428918 & 7.46107215710819 \tabularnewline
217 & 52 & 48.742620510725 & 3.25737948927504 \tabularnewline
218 & 49 & 49.7199859143742 & -0.719985914374176 \tabularnewline
219 & 62 & 60.4086353404341 & 1.59136465956588 \tabularnewline
220 & 61 & 58.7437963372182 & 2.25620366278176 \tabularnewline
221 & 76 & 73.9580858189917 & 2.04191418100834 \tabularnewline
222 & 88 & 82.5901106811604 & 5.40988931883964 \tabularnewline
223 & 66 & 64.5362146427102 & 1.46378535728976 \tabularnewline
224 & 71 & 66.7746846089839 & 4.22531539101614 \tabularnewline
225 & 68 & 62.3215717975643 & 5.67842820243571 \tabularnewline
226 & 48 & 46.9844794861362 & 1.01552051386378 \tabularnewline
227 & 25 & 27.4537563679476 & -2.45375636794762 \tabularnewline
228 & 68 & 64.1211561230889 & 3.87884387691114 \tabularnewline
229 & 41 & 53.3996513325225 & -12.3996513325225 \tabularnewline
230 & 90 & 84.7347957299075 & 5.26520427009248 \tabularnewline
231 & 66 & 62.1579986821095 & 3.84200131789048 \tabularnewline
232 & 54 & 53.1750082044293 & 0.824991795570685 \tabularnewline
233 & 59 & 55.8408194536511 & 3.15918054634888 \tabularnewline
234 & 60 & 62.5942434676336 & -2.59424346763356 \tabularnewline
235 & 77 & 77.8209104339339 & -0.820910433933881 \tabularnewline
236 & 68 & 68.2828291695561 & -0.28282916955608 \tabularnewline
237 & 72 & 66.1940715079855 & 5.80592849201453 \tabularnewline
238 & 67 & 63.0393663968242 & 3.96063360317578 \tabularnewline
239 & 64 & 62.9580496647167 & 1.04195033528334 \tabularnewline
240 & 63 & 59.3321441285908 & 3.66785587140924 \tabularnewline
241 & 59 & 55.4720540345207 & 3.52794596547933 \tabularnewline
242 & 84 & 80.0990768518221 & 3.90092314817794 \tabularnewline
243 & 64 & 60.882221608462 & 3.117778391538 \tabularnewline
244 & 56 & 52.9197498189827 & 3.08025018101733 \tabularnewline
245 & 54 & 55.8931187147657 & -1.89311871476566 \tabularnewline
246 & 67 & 63.1842193328293 & 3.81578066717071 \tabularnewline
247 & 58 & 57.5006258671347 & 0.499374132865253 \tabularnewline
248 & 59 & 55.610356097395 & 3.38964390260497 \tabularnewline
249 & 40 & 37.919566746713 & 2.08043325328696 \tabularnewline
250 & 22 & 23.4296281236404 & -1.42962812364044 \tabularnewline
251 & 83 & 81.2620906355042 & 1.73790936449583 \tabularnewline
252 & 81 & 78.484522801556 & 2.51547719844396 \tabularnewline
253 & 2 & 5.54058424908234 & -3.54058424908234 \tabularnewline
254 & 72 & 66.4788796694611 & 5.52112033053887 \tabularnewline
255 & 61 & 62.5167941229149 & -1.51679412291486 \tabularnewline
256 & 15 & 15.7444522593884 & -0.74445225938841 \tabularnewline
257 & 32 & 38.1669868004428 & -6.16698680044277 \tabularnewline
258 & 62 & 59.8851606282162 & 2.11483937178382 \tabularnewline
259 & 58 & 59.7559860691296 & -1.75598606912965 \tabularnewline
260 & 36 & 34.6264509282296 & 1.37354907177044 \tabularnewline
261 & 59 & 58.3227001485148 & 0.677299851485156 \tabularnewline
262 & 68 & 64.4053871328482 & 3.59461286715177 \tabularnewline
263 & 21 & 26.4943794665926 & -5.49437946659261 \tabularnewline
264 & 55 & 56.7580374823312 & -1.75803748233119 \tabularnewline
265 & 54 & 52.3812518360084 & 1.61874816399165 \tabularnewline
266 & 55 & 53.0928798378952 & 1.9071201621048 \tabularnewline
267 & 72 & 67.7967955403755 & 4.20320445962445 \tabularnewline
268 & 41 & 46.1239427011465 & -5.12394270114649 \tabularnewline
269 & 61 & 60.1435094066305 & 0.856490593369547 \tabularnewline
270 & 67 & 78.295109219572 & -11.295109219572 \tabularnewline
271 & 76 & 70.3275324937855 & 5.67246750621448 \tabularnewline
272 & 64 & 59.4210416685482 & 4.57895833145184 \tabularnewline
273 & 3 & 4.48344479154603 & -1.48344479154603 \tabularnewline
274 & 63 & 61.2027192338941 & 1.79728076610595 \tabularnewline
275 & 40 & 38.3266311928854 & 1.67336880711464 \tabularnewline
276 & 69 & 72.3942182918356 & -3.39421829183556 \tabularnewline
277 & 48 & 44.9295014458019 & 3.07049855419814 \tabularnewline
278 & 8 & 9.16211133263262 & -1.16211133263262 \tabularnewline
279 & 52 & 53.2886452836755 & -1.28864528367551 \tabularnewline
280 & 66 & 62.5207349184385 & 3.47926508156154 \tabularnewline
281 & 76 & 70.1809454235374 & 5.81905457646257 \tabularnewline
282 & 43 & 52.1883584594907 & -9.18835845949071 \tabularnewline
283 & 39 & 41.9136115305788 & -2.9136115305788 \tabularnewline
284 & 14 & 15.8754117323944 & -1.87541173239444 \tabularnewline
285 & 61 & 58.7769984671527 & 2.22300153284727 \tabularnewline
286 & 71 & 73.541649492641 & -2.54164949264102 \tabularnewline
287 & 44 & 44.8095280447739 & -0.809528044773914 \tabularnewline
288 & 60 & 56.6834254415224 & 3.31657455847764 \tabularnewline
289 & 64 & 58.540441724765 & 5.45955827523497 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197161&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]115[/C][C]113.730286649559[/C][C]1.26971335044075[/C][/ROW]
[ROW][C]2[/C][C]109[/C][C]105.941003936552[/C][C]3.05899606344794[/C][/ROW]
[ROW][C]3[/C][C]146[/C][C]142.639756766036[/C][C]3.36024323396393[/C][/ROW]
[ROW][C]4[/C][C]116[/C][C]113.765329461054[/C][C]2.23467053894553[/C][/ROW]
[ROW][C]5[/C][C]68[/C][C]82.9793408784444[/C][C]-14.9793408784444[/C][/ROW]
[ROW][C]6[/C][C]101[/C][C]94.9963308389393[/C][C]6.0036691610607[/C][/ROW]
[ROW][C]7[/C][C]96[/C][C]93.9760743685095[/C][C]2.0239256314905[/C][/ROW]
[ROW][C]8[/C][C]67[/C][C]65.6919047138271[/C][C]1.30809528617285[/C][/ROW]
[ROW][C]9[/C][C]44[/C][C]41.7609939439768[/C][C]2.23900605602318[/C][/ROW]
[ROW][C]10[/C][C]100[/C][C]96.4540944354059[/C][C]3.54590556459414[/C][/ROW]
[ROW][C]11[/C][C]93[/C][C]93.5857190106994[/C][C]-0.585719010699443[/C][/ROW]
[ROW][C]12[/C][C]140[/C][C]141.281866652673[/C][C]-1.28186665267261[/C][/ROW]
[ROW][C]13[/C][C]166[/C][C]165.671663889909[/C][C]0.328336110090981[/C][/ROW]
[ROW][C]14[/C][C]99[/C][C]112.055678789049[/C][C]-13.0556787890489[/C][/ROW]
[ROW][C]15[/C][C]139[/C][C]149.228784928542[/C][C]-10.2287849285417[/C][/ROW]
[ROW][C]16[/C][C]130[/C][C]128.329690827035[/C][C]1.67030917296534[/C][/ROW]
[ROW][C]17[/C][C]181[/C][C]176.844897896594[/C][C]4.15510210340624[/C][/ROW]
[ROW][C]18[/C][C]116[/C][C]114.436729671287[/C][C]1.56327032871325[/C][/ROW]
[ROW][C]19[/C][C]116[/C][C]116.834565622205[/C][C]-0.834565622205338[/C][/ROW]
[ROW][C]20[/C][C]88[/C][C]87.8740157648251[/C][C]0.1259842351749[/C][/ROW]
[ROW][C]21[/C][C]139[/C][C]137.73472071219[/C][C]1.26527928781044[/C][/ROW]
[ROW][C]22[/C][C]135[/C][C]134.9458398913[/C][C]0.0541601087001896[/C][/ROW]
[ROW][C]23[/C][C]108[/C][C]111.583617081013[/C][C]-3.58361708101304[/C][/ROW]
[ROW][C]24[/C][C]89[/C][C]94.0337864546435[/C][C]-5.03378645464355[/C][/ROW]
[ROW][C]25[/C][C]156[/C][C]146.698293769909[/C][C]9.30170623009065[/C][/ROW]
[ROW][C]26[/C][C]129[/C][C]128.592326098933[/C][C]0.407673901066961[/C][/ROW]
[ROW][C]27[/C][C]118[/C][C]115.727716004009[/C][C]2.27228399599068[/C][/ROW]
[ROW][C]28[/C][C]118[/C][C]117.261099431496[/C][C]0.738900568503932[/C][/ROW]
[ROW][C]29[/C][C]125[/C][C]125.28269803279[/C][C]-0.282698032790018[/C][/ROW]
[ROW][C]30[/C][C]95[/C][C]92.607168684778[/C][C]2.39283131522203[/C][/ROW]
[ROW][C]31[/C][C]126[/C][C]123.96209203559[/C][C]2.03790796440967[/C][/ROW]
[ROW][C]32[/C][C]135[/C][C]131.681163887018[/C][C]3.31883611298243[/C][/ROW]
[ROW][C]33[/C][C]154[/C][C]154.456898762583[/C][C]-0.456898762583274[/C][/ROW]
[ROW][C]34[/C][C]165[/C][C]161.470039221673[/C][C]3.52996077832701[/C][/ROW]
[ROW][C]35[/C][C]113[/C][C]111.476845160177[/C][C]1.52315483982323[/C][/ROW]
[ROW][C]36[/C][C]127[/C][C]124.101388324575[/C][C]2.89861167542514[/C][/ROW]
[ROW][C]37[/C][C]52[/C][C]49.3803627589083[/C][C]2.6196372410917[/C][/ROW]
[ROW][C]38[/C][C]121[/C][C]117.882154721212[/C][C]3.11784527878816[/C][/ROW]
[ROW][C]39[/C][C]136[/C][C]133.737964291807[/C][C]2.26203570819347[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]1.31941383484905[/C][C]-1.31941383484905[/C][/ROW]
[ROW][C]41[/C][C]108[/C][C]104.963391900708[/C][C]3.03660809929245[/C][/ROW]
[ROW][C]42[/C][C]46[/C][C]53.1941393679643[/C][C]-7.19413936796433[/C][/ROW]
[ROW][C]43[/C][C]54[/C][C]64.3271377943416[/C][C]-10.3271377943416[/C][/ROW]
[ROW][C]44[/C][C]124[/C][C]121.710585844988[/C][C]2.28941415501169[/C][/ROW]
[ROW][C]45[/C][C]115[/C][C]113.837265403356[/C][C]1.16273459664441[/C][/ROW]
[ROW][C]46[/C][C]128[/C][C]130.416421588802[/C][C]-2.41642158880227[/C][/ROW]
[ROW][C]47[/C][C]80[/C][C]75.1123557726047[/C][C]4.88764422739534[/C][/ROW]
[ROW][C]48[/C][C]97[/C][C]105.361917982169[/C][C]-8.36191798216851[/C][/ROW]
[ROW][C]49[/C][C]104[/C][C]104.123402611821[/C][C]-0.123402611821182[/C][/ROW]
[ROW][C]50[/C][C]59[/C][C]140.936823726584[/C][C]-81.9368237265843[/C][/ROW]
[ROW][C]51[/C][C]125[/C][C]124.085299914137[/C][C]0.91470008586259[/C][/ROW]
[ROW][C]52[/C][C]82[/C][C]95.6180164062632[/C][C]-13.6180164062632[/C][/ROW]
[ROW][C]53[/C][C]149[/C][C]145.601653132736[/C][C]3.39834686726388[/C][/ROW]
[ROW][C]54[/C][C]149[/C][C]146.97150450339[/C][C]2.0284954966096[/C][/ROW]
[ROW][C]55[/C][C]122[/C][C]123.23839957858[/C][C]-1.2383995785798[/C][/ROW]
[ROW][C]56[/C][C]118[/C][C]105.738376657944[/C][C]12.2616233420556[/C][/ROW]
[ROW][C]57[/C][C]12[/C][C]15.7014469253686[/C][C]-3.7014469253686[/C][/ROW]
[ROW][C]58[/C][C]144[/C][C]150.346274177187[/C][C]-6.34627417718706[/C][/ROW]
[ROW][C]59[/C][C]67[/C][C]67.4424597914171[/C][C]-0.442459791417087[/C][/ROW]
[ROW][C]60[/C][C]52[/C][C]53.4913672991853[/C][C]-1.49136729918527[/C][/ROW]
[ROW][C]61[/C][C]108[/C][C]107.348526456058[/C][C]0.651473543941811[/C][/ROW]
[ROW][C]62[/C][C]166[/C][C]165.220469424318[/C][C]0.779530575682393[/C][/ROW]
[ROW][C]63[/C][C]80[/C][C]81.0775179720642[/C][C]-1.07751797206421[/C][/ROW]
[ROW][C]64[/C][C]60[/C][C]59.8272196113581[/C][C]0.172780388641889[/C][/ROW]
[ROW][C]65[/C][C]107[/C][C]107.85746530063[/C][C]-0.857465300630392[/C][/ROW]
[ROW][C]66[/C][C]127[/C][C]133.14838515546[/C][C]-6.14838515546044[/C][/ROW]
[ROW][C]67[/C][C]107[/C][C]107.706670721795[/C][C]-0.706670721794553[/C][/ROW]
[ROW][C]68[/C][C]146[/C][C]145.130090469477[/C][C]0.869909530522836[/C][/ROW]
[ROW][C]69[/C][C]84[/C][C]90.1804099533945[/C][C]-6.1804099533945[/C][/ROW]
[ROW][C]70[/C][C]141[/C][C]133.755187133326[/C][C]7.2448128666744[/C][/ROW]
[ROW][C]71[/C][C]123[/C][C]119.790964385985[/C][C]3.20903561401497[/C][/ROW]
[ROW][C]72[/C][C]111[/C][C]107.28789695777[/C][C]3.71210304223031[/C][/ROW]
[ROW][C]73[/C][C]98[/C][C]94.7219083645257[/C][C]3.27809163547433[/C][/ROW]
[ROW][C]74[/C][C]105[/C][C]103.563127335631[/C][C]1.43687266436933[/C][/ROW]
[ROW][C]75[/C][C]135[/C][C]136.376348743892[/C][C]-1.37634874389236[/C][/ROW]
[ROW][C]76[/C][C]107[/C][C]107.42839255155[/C][C]-0.428392551550123[/C][/ROW]
[ROW][C]77[/C][C]85[/C][C]91.1004746305834[/C][C]-6.1004746305834[/C][/ROW]
[ROW][C]78[/C][C]155[/C][C]150.386122920143[/C][C]4.61387707985728[/C][/ROW]
[ROW][C]79[/C][C]88[/C][C]85.4713472295031[/C][C]2.52865277049688[/C][/ROW]
[ROW][C]80[/C][C]155[/C][C]149.131893306262[/C][C]5.86810669373796[/C][/ROW]
[ROW][C]81[/C][C]104[/C][C]104.636585821853[/C][C]-0.636585821852672[/C][/ROW]
[ROW][C]82[/C][C]132[/C][C]128.372722929875[/C][C]3.62727707012485[/C][/ROW]
[ROW][C]83[/C][C]127[/C][C]125.439218291721[/C][C]1.56078170827855[/C][/ROW]
[ROW][C]84[/C][C]108[/C][C]106.185000314322[/C][C]1.81499968567766[/C][/ROW]
[ROW][C]85[/C][C]129[/C][C]129.001370128794[/C][C]-0.00137012879352919[/C][/ROW]
[ROW][C]86[/C][C]116[/C][C]114.260959846047[/C][C]1.73904015395325[/C][/ROW]
[ROW][C]87[/C][C]122[/C][C]122.174359344563[/C][C]-0.174359344562766[/C][/ROW]
[ROW][C]88[/C][C]85[/C][C]82.1904721767823[/C][C]2.80952782321766[/C][/ROW]
[ROW][C]89[/C][C]147[/C][C]142.453047546082[/C][C]4.54695245391842[/C][/ROW]
[ROW][C]90[/C][C]99[/C][C]96.2004654990981[/C][C]2.79953450090189[/C][/ROW]
[ROW][C]91[/C][C]87[/C][C]132.905403131788[/C][C]-45.9054031317879[/C][/ROW]
[ROW][C]92[/C][C]28[/C][C]31.6340533877167[/C][C]-3.63405338771671[/C][/ROW]
[ROW][C]93[/C][C]90[/C][C]86.7995526903185[/C][C]3.20044730968152[/C][/ROW]
[ROW][C]94[/C][C]109[/C][C]110.046122591886[/C][C]-1.04612259188605[/C][/ROW]
[ROW][C]95[/C][C]78[/C][C]75.5205992316649[/C][C]2.47940076833511[/C][/ROW]
[ROW][C]96[/C][C]111[/C][C]107.389366727522[/C][C]3.61063327247796[/C][/ROW]
[ROW][C]97[/C][C]158[/C][C]165.895453020358[/C][C]-7.89545302035847[/C][/ROW]
[ROW][C]98[/C][C]141[/C][C]140.514267452522[/C][C]0.485732547478088[/C][/ROW]
[ROW][C]99[/C][C]122[/C][C]122.743773673745[/C][C]-0.743773673744976[/C][/ROW]
[ROW][C]100[/C][C]124[/C][C]126.6367646163[/C][C]-2.63676461629979[/C][/ROW]
[ROW][C]101[/C][C]93[/C][C]93.4190620275204[/C][C]-0.419062027520351[/C][/ROW]
[ROW][C]102[/C][C]124[/C][C]119.741463271767[/C][C]4.25853672823349[/C][/ROW]
[ROW][C]103[/C][C]112[/C][C]107.778303054037[/C][C]4.22169694596322[/C][/ROW]
[ROW][C]104[/C][C]108[/C][C]104.787344377857[/C][C]3.21265562214344[/C][/ROW]
[ROW][C]105[/C][C]99[/C][C]105.986347549063[/C][C]-6.9863475490629[/C][/ROW]
[ROW][C]106[/C][C]117[/C][C]119.014342690821[/C][C]-2.01434269082127[/C][/ROW]
[ROW][C]107[/C][C]199[/C][C]195.298450178093[/C][C]3.70154982190707[/C][/ROW]
[ROW][C]108[/C][C]78[/C][C]77.996684672721[/C][C]0.00331532727898739[/C][/ROW]
[ROW][C]109[/C][C]91[/C][C]94.5925289603965[/C][C]-3.5925289603965[/C][/ROW]
[ROW][C]110[/C][C]158[/C][C]154.670748318756[/C][C]3.32925168124435[/C][/ROW]
[ROW][C]111[/C][C]126[/C][C]124.862504748837[/C][C]1.13749525116308[/C][/ROW]
[ROW][C]112[/C][C]122[/C][C]119.623288258587[/C][C]2.37671174141327[/C][/ROW]
[ROW][C]113[/C][C]71[/C][C]70.4013198678969[/C][C]0.598680132103116[/C][/ROW]
[ROW][C]114[/C][C]75[/C][C]77.1899944968212[/C][C]-2.1899944968212[/C][/ROW]
[ROW][C]115[/C][C]115[/C][C]117.295226053874[/C][C]-2.29522605387423[/C][/ROW]
[ROW][C]116[/C][C]119[/C][C]116.062198513607[/C][C]2.93780148639286[/C][/ROW]
[ROW][C]117[/C][C]124[/C][C]123.255740043711[/C][C]0.744259956288522[/C][/ROW]
[ROW][C]118[/C][C]72[/C][C]67.8203061073724[/C][C]4.1796938926276[/C][/ROW]
[ROW][C]119[/C][C]91[/C][C]85.3066861023106[/C][C]5.69331389768936[/C][/ROW]
[ROW][C]120[/C][C]45[/C][C]64.0712562679986[/C][C]-19.0712562679986[/C][/ROW]
[ROW][C]121[/C][C]78[/C][C]75.4257404650388[/C][C]2.57425953496118[/C][/ROW]
[ROW][C]122[/C][C]39[/C][C]45.7844844789241[/C][C]-6.78448447892412[/C][/ROW]
[ROW][C]123[/C][C]68[/C][C]64.1354202928823[/C][C]3.86457970711769[/C][/ROW]
[ROW][C]124[/C][C]119[/C][C]113.613847934562[/C][C]5.38615206543772[/C][/ROW]
[ROW][C]125[/C][C]117[/C][C]115.664266169919[/C][C]1.33573383008123[/C][/ROW]
[ROW][C]126[/C][C]39[/C][C]39.3014257369283[/C][C]-0.301425736928348[/C][/ROW]
[ROW][C]127[/C][C]50[/C][C]49.8642374477522[/C][C]0.135762552247827[/C][/ROW]
[ROW][C]128[/C][C]88[/C][C]83.2002209046791[/C][C]4.79977909532089[/C][/ROW]
[ROW][C]129[/C][C]155[/C][C]158.775516625396[/C][C]-3.77551662539603[/C][/ROW]
[ROW][C]130[/C][C]0[/C][C]5.12532167464348[/C][C]-5.12532167464348[/C][/ROW]
[ROW][C]131[/C][C]36[/C][C]34.4733682604201[/C][C]1.52663173957993[/C][/ROW]
[ROW][C]132[/C][C]123[/C][C]121.333481535387[/C][C]1.66651846461292[/C][/ROW]
[ROW][C]133[/C][C]32[/C][C]42.6916837540134[/C][C]-10.6916837540134[/C][/ROW]
[ROW][C]134[/C][C]99[/C][C]92.4295409154746[/C][C]6.57045908452543[/C][/ROW]
[ROW][C]135[/C][C]136[/C][C]133.648550082731[/C][C]2.35144991726916[/C][/ROW]
[ROW][C]136[/C][C]117[/C][C]117.520165714432[/C][C]-0.52016571443192[/C][/ROW]
[ROW][C]137[/C][C]0[/C][C]1.24072866690827[/C][C]-1.24072866690827[/C][/ROW]
[ROW][C]138[/C][C]88[/C][C]90.1906343707999[/C][C]-2.19063437079993[/C][/ROW]
[ROW][C]139[/C][C]39[/C][C]48.1743369404936[/C][C]-9.17433694049363[/C][/ROW]
[ROW][C]140[/C][C]25[/C][C]30.5724875227766[/C][C]-5.57248752277656[/C][/ROW]
[ROW][C]141[/C][C]52[/C][C]48.5467284721149[/C][C]3.45327152788506[/C][/ROW]
[ROW][C]142[/C][C]75[/C][C]72.3291768721539[/C][C]2.67082312784608[/C][/ROW]
[ROW][C]143[/C][C]71[/C][C]65.3647512796923[/C][C]5.63524872030769[/C][/ROW]
[ROW][C]144[/C][C]124[/C][C]124.056725500605[/C][C]-0.0567255006045038[/C][/ROW]
[ROW][C]145[/C][C]151[/C][C]148.865027470909[/C][C]2.13497252909139[/C][/ROW]
[ROW][C]146[/C][C]71[/C][C]81.0410300875863[/C][C]-10.0410300875863[/C][/ROW]
[ROW][C]147[/C][C]145[/C][C]141.012586992218[/C][C]3.98741300778233[/C][/ROW]
[ROW][C]148[/C][C]87[/C][C]88.3315534086642[/C][C]-1.33155340866423[/C][/ROW]
[ROW][C]149[/C][C]27[/C][C]30.4942615683773[/C][C]-3.49426156837733[/C][/ROW]
[ROW][C]150[/C][C]131[/C][C]128.554570046226[/C][C]2.4454299537742[/C][/ROW]
[ROW][C]151[/C][C]162[/C][C]159.403383085792[/C][C]2.5966169142081[/C][/ROW]
[ROW][C]152[/C][C]165[/C][C]157.585011338014[/C][C]7.41498866198563[/C][/ROW]
[ROW][C]153[/C][C]54[/C][C]53.8487927735382[/C][C]0.151207226461803[/C][/ROW]
[ROW][C]154[/C][C]159[/C][C]152.969327905301[/C][C]6.03067209469894[/C][/ROW]
[ROW][C]155[/C][C]147[/C][C]144.183510377234[/C][C]2.8164896227661[/C][/ROW]
[ROW][C]156[/C][C]170[/C][C]169.298504413181[/C][C]0.701495586819412[/C][/ROW]
[ROW][C]157[/C][C]119[/C][C]114.81968636007[/C][C]4.18031363993022[/C][/ROW]
[ROW][C]158[/C][C]49[/C][C]48.0667520843461[/C][C]0.933247915653883[/C][/ROW]
[ROW][C]159[/C][C]104[/C][C]102.757572302905[/C][C]1.24242769709514[/C][/ROW]
[ROW][C]160[/C][C]120[/C][C]119.713626827793[/C][C]0.286373172207057[/C][/ROW]
[ROW][C]161[/C][C]150[/C][C]149.206403593709[/C][C]0.793596406290897[/C][/ROW]
[ROW][C]162[/C][C]112[/C][C]111.233240741315[/C][C]0.766759258684633[/C][/ROW]
[ROW][C]163[/C][C]59[/C][C]61.5529517587133[/C][C]-2.55295175871332[/C][/ROW]
[ROW][C]164[/C][C]136[/C][C]137.477693393542[/C][C]-1.47769339354241[/C][/ROW]
[ROW][C]165[/C][C]107[/C][C]111.532904716127[/C][C]-4.5329047161269[/C][/ROW]
[ROW][C]166[/C][C]130[/C][C]131.080284207136[/C][C]-1.08028420713631[/C][/ROW]
[ROW][C]167[/C][C]115[/C][C]119.316862549888[/C][C]-4.31686254988803[/C][/ROW]
[ROW][C]168[/C][C]107[/C][C]99.4666070065779[/C][C]7.53339299342206[/C][/ROW]
[ROW][C]169[/C][C]75[/C][C]76.3521985411802[/C][C]-1.35219854118024[/C][/ROW]
[ROW][C]170[/C][C]71[/C][C]67.4197493833909[/C][C]3.58025061660915[/C][/ROW]
[ROW][C]171[/C][C]120[/C][C]116.540591094027[/C][C]3.45940890597314[/C][/ROW]
[ROW][C]172[/C][C]116[/C][C]118.371565963549[/C][C]-2.37156596354897[/C][/ROW]
[ROW][C]173[/C][C]79[/C][C]78.1906710080106[/C][C]0.809328991989357[/C][/ROW]
[ROW][C]174[/C][C]150[/C][C]149.267895535752[/C][C]0.732104464247528[/C][/ROW]
[ROW][C]175[/C][C]156[/C][C]156.365552453149[/C][C]-0.365552453149367[/C][/ROW]
[ROW][C]176[/C][C]51[/C][C]47.4318583644074[/C][C]3.5681416355926[/C][/ROW]
[ROW][C]177[/C][C]118[/C][C]119.682035456556[/C][C]-1.68203545655599[/C][/ROW]
[ROW][C]178[/C][C]71[/C][C]66.624182437539[/C][C]4.37581756246096[/C][/ROW]
[ROW][C]179[/C][C]144[/C][C]148.38782756803[/C][C]-4.38782756803028[/C][/ROW]
[ROW][C]180[/C][C]47[/C][C]53.4664279286688[/C][C]-6.46642792866878[/C][/ROW]
[ROW][C]181[/C][C]28[/C][C]28.7429553676439[/C][C]-0.742955367643899[/C][/ROW]
[ROW][C]182[/C][C]68[/C][C]65.0621606478221[/C][C]2.93783935217793[/C][/ROW]
[ROW][C]183[/C][C]0[/C][C]1.33869708999622[/C][C]-1.33869708999622[/C][/ROW]
[ROW][C]184[/C][C]110[/C][C]111.28923801296[/C][C]-1.28923801296031[/C][/ROW]
[ROW][C]185[/C][C]147[/C][C]139.548083985998[/C][C]7.45191601400171[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]1.44434030992419[/C][C]-1.44434030992419[/C][/ROW]
[ROW][C]187[/C][C]15[/C][C]19.2748316658443[/C][C]-4.2748316658443[/C][/ROW]
[ROW][C]188[/C][C]4[/C][C]4.62787286781729[/C][C]-0.627872867817294[/C][/ROW]
[ROW][C]189[/C][C]64[/C][C]59.6635529555429[/C][C]4.33644704445709[/C][/ROW]
[ROW][C]190[/C][C]111[/C][C]117.818573046974[/C][C]-6.81857304697438[/C][/ROW]
[ROW][C]191[/C][C]85[/C][C]89.7290945994934[/C][C]-4.72909459949338[/C][/ROW]
[ROW][C]192[/C][C]68[/C][C]62.1014561594583[/C][C]5.89854384054166[/C][/ROW]
[ROW][C]193[/C][C]40[/C][C]43.0668789211353[/C][C]-3.06687892113533[/C][/ROW]
[ROW][C]194[/C][C]80[/C][C]88.4351830858348[/C][C]-8.43518308583482[/C][/ROW]
[ROW][C]195[/C][C]88[/C][C]82.2134175991631[/C][C]5.78658240083693[/C][/ROW]
[ROW][C]196[/C][C]48[/C][C]47.1120743123442[/C][C]0.887925687655834[/C][/ROW]
[ROW][C]197[/C][C]76[/C][C]69.3614475580312[/C][C]6.63855244196884[/C][/ROW]
[ROW][C]198[/C][C]51[/C][C]48.6943904139484[/C][C]2.30560958605164[/C][/ROW]
[ROW][C]199[/C][C]67[/C][C]63.3696251140432[/C][C]3.63037488595683[/C][/ROW]
[ROW][C]200[/C][C]59[/C][C]56.8609559486648[/C][C]2.13904405133516[/C][/ROW]
[ROW][C]201[/C][C]61[/C][C]60.7398085360951[/C][C]0.260191463904856[/C][/ROW]
[ROW][C]202[/C][C]76[/C][C]88.1815080993037[/C][C]-12.1815080993037[/C][/ROW]
[ROW][C]203[/C][C]60[/C][C]56.7986200503794[/C][C]3.20137994962058[/C][/ROW]
[ROW][C]204[/C][C]68[/C][C]63.4542501945189[/C][C]4.54574980548112[/C][/ROW]
[ROW][C]205[/C][C]71[/C][C]66.6093130753099[/C][C]4.39068692469006[/C][/ROW]
[ROW][C]206[/C][C]76[/C][C]73.3069950763714[/C][C]2.69300492362864[/C][/ROW]
[ROW][C]207[/C][C]62[/C][C]60.3253943588754[/C][C]1.67460564112463[/C][/ROW]
[ROW][C]208[/C][C]61[/C][C]59.2613785252766[/C][C]1.73862147472337[/C][/ROW]
[ROW][C]209[/C][C]67[/C][C]67.1273616254266[/C][C]-0.127361625426645[/C][/ROW]
[ROW][C]210[/C][C]88[/C][C]81.9512141500589[/C][C]6.04878584994105[/C][/ROW]
[ROW][C]211[/C][C]30[/C][C]31.7665741950676[/C][C]-1.76657419506756[/C][/ROW]
[ROW][C]212[/C][C]64[/C][C]63.8437589402348[/C][C]0.156241059765181[/C][/ROW]
[ROW][C]213[/C][C]68[/C][C]66.4468029912644[/C][C]1.55319700873564[/C][/ROW]
[ROW][C]214[/C][C]64[/C][C]60.4734040630734[/C][C]3.52659593692655[/C][/ROW]
[ROW][C]215[/C][C]91[/C][C]84.4895301550065[/C][C]6.51046984499348[/C][/ROW]
[ROW][C]216[/C][C]88[/C][C]80.5389278428918[/C][C]7.46107215710819[/C][/ROW]
[ROW][C]217[/C][C]52[/C][C]48.742620510725[/C][C]3.25737948927504[/C][/ROW]
[ROW][C]218[/C][C]49[/C][C]49.7199859143742[/C][C]-0.719985914374176[/C][/ROW]
[ROW][C]219[/C][C]62[/C][C]60.4086353404341[/C][C]1.59136465956588[/C][/ROW]
[ROW][C]220[/C][C]61[/C][C]58.7437963372182[/C][C]2.25620366278176[/C][/ROW]
[ROW][C]221[/C][C]76[/C][C]73.9580858189917[/C][C]2.04191418100834[/C][/ROW]
[ROW][C]222[/C][C]88[/C][C]82.5901106811604[/C][C]5.40988931883964[/C][/ROW]
[ROW][C]223[/C][C]66[/C][C]64.5362146427102[/C][C]1.46378535728976[/C][/ROW]
[ROW][C]224[/C][C]71[/C][C]66.7746846089839[/C][C]4.22531539101614[/C][/ROW]
[ROW][C]225[/C][C]68[/C][C]62.3215717975643[/C][C]5.67842820243571[/C][/ROW]
[ROW][C]226[/C][C]48[/C][C]46.9844794861362[/C][C]1.01552051386378[/C][/ROW]
[ROW][C]227[/C][C]25[/C][C]27.4537563679476[/C][C]-2.45375636794762[/C][/ROW]
[ROW][C]228[/C][C]68[/C][C]64.1211561230889[/C][C]3.87884387691114[/C][/ROW]
[ROW][C]229[/C][C]41[/C][C]53.3996513325225[/C][C]-12.3996513325225[/C][/ROW]
[ROW][C]230[/C][C]90[/C][C]84.7347957299075[/C][C]5.26520427009248[/C][/ROW]
[ROW][C]231[/C][C]66[/C][C]62.1579986821095[/C][C]3.84200131789048[/C][/ROW]
[ROW][C]232[/C][C]54[/C][C]53.1750082044293[/C][C]0.824991795570685[/C][/ROW]
[ROW][C]233[/C][C]59[/C][C]55.8408194536511[/C][C]3.15918054634888[/C][/ROW]
[ROW][C]234[/C][C]60[/C][C]62.5942434676336[/C][C]-2.59424346763356[/C][/ROW]
[ROW][C]235[/C][C]77[/C][C]77.8209104339339[/C][C]-0.820910433933881[/C][/ROW]
[ROW][C]236[/C][C]68[/C][C]68.2828291695561[/C][C]-0.28282916955608[/C][/ROW]
[ROW][C]237[/C][C]72[/C][C]66.1940715079855[/C][C]5.80592849201453[/C][/ROW]
[ROW][C]238[/C][C]67[/C][C]63.0393663968242[/C][C]3.96063360317578[/C][/ROW]
[ROW][C]239[/C][C]64[/C][C]62.9580496647167[/C][C]1.04195033528334[/C][/ROW]
[ROW][C]240[/C][C]63[/C][C]59.3321441285908[/C][C]3.66785587140924[/C][/ROW]
[ROW][C]241[/C][C]59[/C][C]55.4720540345207[/C][C]3.52794596547933[/C][/ROW]
[ROW][C]242[/C][C]84[/C][C]80.0990768518221[/C][C]3.90092314817794[/C][/ROW]
[ROW][C]243[/C][C]64[/C][C]60.882221608462[/C][C]3.117778391538[/C][/ROW]
[ROW][C]244[/C][C]56[/C][C]52.9197498189827[/C][C]3.08025018101733[/C][/ROW]
[ROW][C]245[/C][C]54[/C][C]55.8931187147657[/C][C]-1.89311871476566[/C][/ROW]
[ROW][C]246[/C][C]67[/C][C]63.1842193328293[/C][C]3.81578066717071[/C][/ROW]
[ROW][C]247[/C][C]58[/C][C]57.5006258671347[/C][C]0.499374132865253[/C][/ROW]
[ROW][C]248[/C][C]59[/C][C]55.610356097395[/C][C]3.38964390260497[/C][/ROW]
[ROW][C]249[/C][C]40[/C][C]37.919566746713[/C][C]2.08043325328696[/C][/ROW]
[ROW][C]250[/C][C]22[/C][C]23.4296281236404[/C][C]-1.42962812364044[/C][/ROW]
[ROW][C]251[/C][C]83[/C][C]81.2620906355042[/C][C]1.73790936449583[/C][/ROW]
[ROW][C]252[/C][C]81[/C][C]78.484522801556[/C][C]2.51547719844396[/C][/ROW]
[ROW][C]253[/C][C]2[/C][C]5.54058424908234[/C][C]-3.54058424908234[/C][/ROW]
[ROW][C]254[/C][C]72[/C][C]66.4788796694611[/C][C]5.52112033053887[/C][/ROW]
[ROW][C]255[/C][C]61[/C][C]62.5167941229149[/C][C]-1.51679412291486[/C][/ROW]
[ROW][C]256[/C][C]15[/C][C]15.7444522593884[/C][C]-0.74445225938841[/C][/ROW]
[ROW][C]257[/C][C]32[/C][C]38.1669868004428[/C][C]-6.16698680044277[/C][/ROW]
[ROW][C]258[/C][C]62[/C][C]59.8851606282162[/C][C]2.11483937178382[/C][/ROW]
[ROW][C]259[/C][C]58[/C][C]59.7559860691296[/C][C]-1.75598606912965[/C][/ROW]
[ROW][C]260[/C][C]36[/C][C]34.6264509282296[/C][C]1.37354907177044[/C][/ROW]
[ROW][C]261[/C][C]59[/C][C]58.3227001485148[/C][C]0.677299851485156[/C][/ROW]
[ROW][C]262[/C][C]68[/C][C]64.4053871328482[/C][C]3.59461286715177[/C][/ROW]
[ROW][C]263[/C][C]21[/C][C]26.4943794665926[/C][C]-5.49437946659261[/C][/ROW]
[ROW][C]264[/C][C]55[/C][C]56.7580374823312[/C][C]-1.75803748233119[/C][/ROW]
[ROW][C]265[/C][C]54[/C][C]52.3812518360084[/C][C]1.61874816399165[/C][/ROW]
[ROW][C]266[/C][C]55[/C][C]53.0928798378952[/C][C]1.9071201621048[/C][/ROW]
[ROW][C]267[/C][C]72[/C][C]67.7967955403755[/C][C]4.20320445962445[/C][/ROW]
[ROW][C]268[/C][C]41[/C][C]46.1239427011465[/C][C]-5.12394270114649[/C][/ROW]
[ROW][C]269[/C][C]61[/C][C]60.1435094066305[/C][C]0.856490593369547[/C][/ROW]
[ROW][C]270[/C][C]67[/C][C]78.295109219572[/C][C]-11.295109219572[/C][/ROW]
[ROW][C]271[/C][C]76[/C][C]70.3275324937855[/C][C]5.67246750621448[/C][/ROW]
[ROW][C]272[/C][C]64[/C][C]59.4210416685482[/C][C]4.57895833145184[/C][/ROW]
[ROW][C]273[/C][C]3[/C][C]4.48344479154603[/C][C]-1.48344479154603[/C][/ROW]
[ROW][C]274[/C][C]63[/C][C]61.2027192338941[/C][C]1.79728076610595[/C][/ROW]
[ROW][C]275[/C][C]40[/C][C]38.3266311928854[/C][C]1.67336880711464[/C][/ROW]
[ROW][C]276[/C][C]69[/C][C]72.3942182918356[/C][C]-3.39421829183556[/C][/ROW]
[ROW][C]277[/C][C]48[/C][C]44.9295014458019[/C][C]3.07049855419814[/C][/ROW]
[ROW][C]278[/C][C]8[/C][C]9.16211133263262[/C][C]-1.16211133263262[/C][/ROW]
[ROW][C]279[/C][C]52[/C][C]53.2886452836755[/C][C]-1.28864528367551[/C][/ROW]
[ROW][C]280[/C][C]66[/C][C]62.5207349184385[/C][C]3.47926508156154[/C][/ROW]
[ROW][C]281[/C][C]76[/C][C]70.1809454235374[/C][C]5.81905457646257[/C][/ROW]
[ROW][C]282[/C][C]43[/C][C]52.1883584594907[/C][C]-9.18835845949071[/C][/ROW]
[ROW][C]283[/C][C]39[/C][C]41.9136115305788[/C][C]-2.9136115305788[/C][/ROW]
[ROW][C]284[/C][C]14[/C][C]15.8754117323944[/C][C]-1.87541173239444[/C][/ROW]
[ROW][C]285[/C][C]61[/C][C]58.7769984671527[/C][C]2.22300153284727[/C][/ROW]
[ROW][C]286[/C][C]71[/C][C]73.541649492641[/C][C]-2.54164949264102[/C][/ROW]
[ROW][C]287[/C][C]44[/C][C]44.8095280447739[/C][C]-0.809528044773914[/C][/ROW]
[ROW][C]288[/C][C]60[/C][C]56.6834254415224[/C][C]3.31657455847764[/C][/ROW]
[ROW][C]289[/C][C]64[/C][C]58.540441724765[/C][C]5.45955827523497[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197161&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197161&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
1115113.7302866495591.26971335044075
2109105.9410039365523.05899606344794
3146142.6397567660363.36024323396393
4116113.7653294610542.23467053894553
56882.9793408784444-14.9793408784444
610194.99633083893936.0036691610607
79693.97607436850952.0239256314905
86765.69190471382711.30809528617285
94441.76099394397682.23900605602318
1010096.45409443540593.54590556459414
119393.5857190106994-0.585719010699443
12140141.281866652673-1.28186665267261
13166165.6716638899090.328336110090981
1499112.055678789049-13.0556787890489
15139149.228784928542-10.2287849285417
16130128.3296908270351.67030917296534
17181176.8448978965944.15510210340624
18116114.4367296712871.56327032871325
19116116.834565622205-0.834565622205338
208887.87401576482510.1259842351749
21139137.734720712191.26527928781044
22135134.94583989130.0541601087001896
23108111.583617081013-3.58361708101304
248994.0337864546435-5.03378645464355
25156146.6982937699099.30170623009065
26129128.5923260989330.407673901066961
27118115.7277160040092.27228399599068
28118117.2610994314960.738900568503932
29125125.28269803279-0.282698032790018
309592.6071686847782.39283131522203
31126123.962092035592.03790796440967
32135131.6811638870183.31883611298243
33154154.456898762583-0.456898762583274
34165161.4700392216733.52996077832701
35113111.4768451601771.52315483982323
36127124.1013883245752.89861167542514
375249.38036275890832.6196372410917
38121117.8821547212123.11784527878816
39136133.7379642918072.26203570819347
4001.31941383484905-1.31941383484905
41108104.9633919007083.03660809929245
424653.1941393679643-7.19413936796433
435464.3271377943416-10.3271377943416
44124121.7105858449882.28941415501169
45115113.8372654033561.16273459664441
46128130.416421588802-2.41642158880227
478075.11235577260474.88764422739534
4897105.361917982169-8.36191798216851
49104104.123402611821-0.123402611821182
5059140.936823726584-81.9368237265843
51125124.0852999141370.91470008586259
528295.6180164062632-13.6180164062632
53149145.6016531327363.39834686726388
54149146.971504503392.0284954966096
55122123.23839957858-1.2383995785798
56118105.73837665794412.2616233420556
571215.7014469253686-3.7014469253686
58144150.346274177187-6.34627417718706
596767.4424597914171-0.442459791417087
605253.4913672991853-1.49136729918527
61108107.3485264560580.651473543941811
62166165.2204694243180.779530575682393
638081.0775179720642-1.07751797206421
646059.82721961135810.172780388641889
65107107.85746530063-0.857465300630392
66127133.14838515546-6.14838515546044
67107107.706670721795-0.706670721794553
68146145.1300904694770.869909530522836
698490.1804099533945-6.1804099533945
70141133.7551871333267.2448128666744
71123119.7909643859853.20903561401497
72111107.287896957773.71210304223031
739894.72190836452573.27809163547433
74105103.5631273356311.43687266436933
75135136.376348743892-1.37634874389236
76107107.42839255155-0.428392551550123
778591.1004746305834-6.1004746305834
78155150.3861229201434.61387707985728
798885.47134722950312.52865277049688
80155149.1318933062625.86810669373796
81104104.636585821853-0.636585821852672
82132128.3727229298753.62727707012485
83127125.4392182917211.56078170827855
84108106.1850003143221.81499968567766
85129129.001370128794-0.00137012879352919
86116114.2609598460471.73904015395325
87122122.174359344563-0.174359344562766
888582.19047217678232.80952782321766
89147142.4530475460824.54695245391842
909996.20046549909812.79953450090189
9187132.905403131788-45.9054031317879
922831.6340533877167-3.63405338771671
939086.79955269031853.20044730968152
94109110.046122591886-1.04612259188605
957875.52059923166492.47940076833511
96111107.3893667275223.61063327247796
97158165.895453020358-7.89545302035847
98141140.5142674525220.485732547478088
99122122.743773673745-0.743773673744976
100124126.6367646163-2.63676461629979
1019393.4190620275204-0.419062027520351
102124119.7414632717674.25853672823349
103112107.7783030540374.22169694596322
104108104.7873443778573.21265562214344
10599105.986347549063-6.9863475490629
106117119.014342690821-2.01434269082127
107199195.2984501780933.70154982190707
1087877.9966846727210.00331532727898739
1099194.5925289603965-3.5925289603965
110158154.6707483187563.32925168124435
111126124.8625047488371.13749525116308
112122119.6232882585872.37671174141327
1137170.40131986789690.598680132103116
1147577.1899944968212-2.1899944968212
115115117.295226053874-2.29522605387423
116119116.0621985136072.93780148639286
117124123.2557400437110.744259956288522
1187267.82030610737244.1796938926276
1199185.30668610231065.69331389768936
1204564.0712562679986-19.0712562679986
1217875.42574046503882.57425953496118
1223945.7844844789241-6.78448447892412
1236864.13542029288233.86457970711769
124119113.6138479345625.38615206543772
125117115.6642661699191.33573383008123
1263939.3014257369283-0.301425736928348
1275049.86423744775220.135762552247827
1288883.20022090467914.79977909532089
129155158.775516625396-3.77551662539603
13005.12532167464348-5.12532167464348
1313634.47336826042011.52663173957993
132123121.3334815353871.66651846461292
1333242.6916837540134-10.6916837540134
1349992.42954091547466.57045908452543
135136133.6485500827312.35144991726916
136117117.520165714432-0.52016571443192
13701.24072866690827-1.24072866690827
1388890.1906343707999-2.19063437079993
1393948.1743369404936-9.17433694049363
1402530.5724875227766-5.57248752277656
1415248.54672847211493.45327152788506
1427572.32917687215392.67082312784608
1437165.36475127969235.63524872030769
144124124.056725500605-0.0567255006045038
145151148.8650274709092.13497252909139
1467181.0410300875863-10.0410300875863
147145141.0125869922183.98741300778233
1488788.3315534086642-1.33155340866423
1492730.4942615683773-3.49426156837733
150131128.5545700462262.4454299537742
151162159.4033830857922.5966169142081
152165157.5850113380147.41498866198563
1535453.84879277353820.151207226461803
154159152.9693279053016.03067209469894
155147144.1835103772342.8164896227661
156170169.2985044131810.701495586819412
157119114.819686360074.18031363993022
1584948.06675208434610.933247915653883
159104102.7575723029051.24242769709514
160120119.7136268277930.286373172207057
161150149.2064035937090.793596406290897
162112111.2332407413150.766759258684633
1635961.5529517587133-2.55295175871332
164136137.477693393542-1.47769339354241
165107111.532904716127-4.5329047161269
166130131.080284207136-1.08028420713631
167115119.316862549888-4.31686254988803
16810799.46660700657797.53339299342206
1697576.3521985411802-1.35219854118024
1707167.41974938339093.58025061660915
171120116.5405910940273.45940890597314
172116118.371565963549-2.37156596354897
1737978.19067100801060.809328991989357
174150149.2678955357520.732104464247528
175156156.365552453149-0.365552453149367
1765147.43185836440743.5681416355926
177118119.682035456556-1.68203545655599
1787166.6241824375394.37581756246096
179144148.38782756803-4.38782756803028
1804753.4664279286688-6.46642792866878
1812828.7429553676439-0.742955367643899
1826865.06216064782212.93783935217793
18301.33869708999622-1.33869708999622
184110111.28923801296-1.28923801296031
185147139.5480839859987.45191601400171
18601.44434030992419-1.44434030992419
1871519.2748316658443-4.2748316658443
18844.62787286781729-0.627872867817294
1896459.66355295554294.33644704445709
190111117.818573046974-6.81857304697438
1918589.7290945994934-4.72909459949338
1926862.10145615945835.89854384054166
1934043.0668789211353-3.06687892113533
1948088.4351830858348-8.43518308583482
1958882.21341759916315.78658240083693
1964847.11207431234420.887925687655834
1977669.36144755803126.63855244196884
1985148.69439041394842.30560958605164
1996763.36962511404323.63037488595683
2005956.86095594866482.13904405133516
2016160.73980853609510.260191463904856
2027688.1815080993037-12.1815080993037
2036056.79862005037943.20137994962058
2046863.45425019451894.54574980548112
2057166.60931307530994.39068692469006
2067673.30699507637142.69300492362864
2076260.32539435887541.67460564112463
2086159.26137852527661.73862147472337
2096767.1273616254266-0.127361625426645
2108881.95121415005896.04878584994105
2113031.7665741950676-1.76657419506756
2126463.84375894023480.156241059765181
2136866.44680299126441.55319700873564
2146460.47340406307343.52659593692655
2159184.48953015500656.51046984499348
2168880.53892784289187.46107215710819
2175248.7426205107253.25737948927504
2184949.7199859143742-0.719985914374176
2196260.40863534043411.59136465956588
2206158.74379633721822.25620366278176
2217673.95808581899172.04191418100834
2228882.59011068116045.40988931883964
2236664.53621464271021.46378535728976
2247166.77468460898394.22531539101614
2256862.32157179756435.67842820243571
2264846.98447948613621.01552051386378
2272527.4537563679476-2.45375636794762
2286864.12115612308893.87884387691114
2294153.3996513325225-12.3996513325225
2309084.73479572990755.26520427009248
2316662.15799868210953.84200131789048
2325453.17500820442930.824991795570685
2335955.84081945365113.15918054634888
2346062.5942434676336-2.59424346763356
2357777.8209104339339-0.820910433933881
2366868.2828291695561-0.28282916955608
2377266.19407150798555.80592849201453
2386763.03936639682423.96063360317578
2396462.95804966471671.04195033528334
2406359.33214412859083.66785587140924
2415955.47205403452073.52794596547933
2428480.09907685182213.90092314817794
2436460.8822216084623.117778391538
2445652.91974981898273.08025018101733
2455455.8931187147657-1.89311871476566
2466763.18421933282933.81578066717071
2475857.50062586713470.499374132865253
2485955.6103560973953.38964390260497
2494037.9195667467132.08043325328696
2502223.4296281236404-1.42962812364044
2518381.26209063550421.73790936449583
2528178.4845228015562.51547719844396
25325.54058424908234-3.54058424908234
2547266.47887966946115.52112033053887
2556162.5167941229149-1.51679412291486
2561515.7444522593884-0.74445225938841
2573238.1669868004428-6.16698680044277
2586259.88516062821622.11483937178382
2595859.7559860691296-1.75598606912965
2603634.62645092822961.37354907177044
2615958.32270014851480.677299851485156
2626864.40538713284823.59461286715177
2632126.4943794665926-5.49437946659261
2645556.7580374823312-1.75803748233119
2655452.38125183600841.61874816399165
2665553.09287983789521.9071201621048
2677267.79679554037554.20320445962445
2684146.1239427011465-5.12394270114649
2696160.14350940663050.856490593369547
2706778.295109219572-11.295109219572
2717670.32753249378555.67246750621448
2726459.42104166854824.57895833145184
27334.48344479154603-1.48344479154603
2746361.20271923389411.79728076610595
2754038.32663119288541.67336880711464
2766972.3942182918356-3.39421829183556
2774844.92950144580193.07049855419814
27889.16211133263262-1.16211133263262
2795253.2886452836755-1.28864528367551
2806662.52073491843853.47926508156154
2817670.18094542353745.81905457646257
2824352.1883584594907-9.18835845949071
2833941.9136115305788-2.9136115305788
2841415.8754117323944-1.87541173239444
2856158.77699846715272.22300153284727
2867173.541649492641-2.54164949264102
2874444.8095280447739-0.809528044773914
2886056.68342544152243.31657455847764
2896458.5404417247655.45955827523497






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.4706476798436980.9412953596873960.529352320156302
110.4007505748999790.8015011497999570.599249425100021
120.3431048986746480.6862097973492960.656895101325352
130.2377719881309020.4755439762618040.762228011869098
140.6415957342778230.7168085314443540.358404265722177
150.7290183933009860.5419632133980270.270981606699014
160.6516008144796110.6967983710407780.348399185520389
170.568673403247180.8626531935056410.43132659675282
180.5360215709192020.9279568581615970.463978429080798
190.4752526545906580.9505053091813160.524747345409342
200.4037720406455690.8075440812911370.596227959354431
210.3340949739040890.6681899478081780.665905026095911
220.268613251544190.537226503088380.73138674845581
230.2209130732506660.4418261465013330.779086926749334
240.1864323969402130.3728647938804260.813567603059787
250.253825374905240.507650749810480.74617462509476
260.1996251166951260.3992502333902530.800374883304874
270.1589694227461560.3179388454923110.841030577253844
280.1206820334933010.2413640669866020.879317966506699
290.08969091799441240.1793818359888250.910309082005588
300.07180967816579130.1436193563315830.928190321834209
310.05436638000226440.1087327600045290.945633619997736
320.04211346450314980.08422692900629970.95788653549685
330.02968880347988540.05937760695977090.970311196520115
340.02170350901309890.04340701802619780.978296490986901
350.01513537986329880.03027075972659760.984864620136701
360.0108032239165080.0216064478330160.989196776083492
370.00799719780599140.01599439561198280.992002802194009
380.005832850139437440.01166570027887490.994167149860563
390.003846665263496710.007693330526993420.996153334736503
400.002465465111513550.004930930223027110.997534534888486
410.001698437219512950.003396874439025910.998301562780487
420.001885835152192760.003771670304385510.998114164847807
430.002545004418136540.005090008836273080.997454995581863
440.001645530646340280.003291061292680550.99835446935366
450.001046471692626250.00209294338525250.998953528307374
460.0007136664261436150.001427332852287230.999286333573856
470.0007662861182402650.001532572236480530.99923371388176
480.0009834820607780840.001966964121556170.999016517939222
490.0006270755439450030.001254151087890010.999372924456055
5011.36173458525539e-166.80867292627696e-17
5111.77284147208407e-168.86420736042033e-17
5214.39486166645602e-172.19743083322801e-17
5317.09441346839361e-173.5472067341968e-17
5411.60844727289e-168.04223636445002e-17
5513.10729708629327e-161.55364854314663e-16
5618.1405916625003e-174.07029583125015e-17
5711.53190803064265e-167.65954015321327e-17
5816.1456803048728e-173.0728401524364e-17
5911.32414715066982e-166.62073575334911e-17
6012.84232295974783e-161.42116147987392e-16
6114.9717621413202e-162.4858810706601e-16
620.9999999999999991.06991149147006e-155.3495574573503e-16
630.9999999999999992.02840242930519e-151.01420121465259e-15
640.9999999999999984.05138893153001e-152.025694465765e-15
650.9999999999999984.91897952167217e-152.45948976083608e-15
660.9999999999999983.00596740768326e-151.50298370384163e-15
670.9999999999999984.6093931033194e-152.3046965516597e-15
680.9999999999999968.82472869147679e-154.4123643457384e-15
690.9999999999999992.9236991734675e-151.46184958673375e-15
7017.83069553652749e-163.91534776826375e-16
710.9999999999999991.05362286921188e-155.26811434605942e-16
720.9999999999999991.11984512726932e-155.59922563634662e-16
730.9999999999999991.98742835897669e-159.93714179488345e-16
740.9999999999999983.86625820250501e-151.93312910125251e-15
750.9999999999999967.75718083501845e-153.87859041750922e-15
760.9999999999999941.11283943427872e-145.56419717139362e-15
770.9999999999999983.02049478619819e-151.51024739309909e-15
780.9999999999999984.6030640534126e-152.3015320267063e-15
790.9999999999999967.36390558491366e-153.68195279245683e-15
800.9999999999999968.19058050905409e-154.09529025452705e-15
810.9999999999999921.61934803312315e-148.09674016561574e-15
820.9999999999999872.59093096547218e-141.29546548273609e-14
830.9999999999999764.79772785118336e-142.39886392559168e-14
840.9999999999999549.14416950380173e-144.57208475190087e-14
850.9999999999999131.74331271070311e-138.71656355351553e-14
860.9999999999998582.83405072482026e-131.41702536241013e-13
870.9999999999997564.88129392641055e-132.44064696320528e-13
880.99999999999967.9958008268057e-133.99790041340285e-13
890.9999999999994051.18909622943881e-125.94548114719407e-13
900.999999999999231.5398563564872e-127.69928178243602e-13
9112.05701784369831e-291.02850892184915e-29
9214.14699619670175e-292.07349809835087e-29
9316.89691940181503e-293.44845970090752e-29
9411.7966582099242e-288.98329104962102e-29
9513.88453307179903e-281.94226653589952e-28
9616.88556354819709e-283.44278177409854e-28
9717.13717069904381e-293.56858534952191e-29
9811.90549171251436e-289.52745856257182e-29
9913.56339229730966e-281.78169614865483e-28
10017.86700225626895e-283.93350112813448e-28
10111.9800885231632e-279.900442615816e-28
10213.87003617484301e-271.9350180874215e-27
10317.25943032187325e-273.62971516093662e-27
10411.49581246484997e-267.47906232424985e-27
10511.16938656613287e-265.84693283066437e-27
10612.72039107057261e-261.36019553528631e-26
10715.82141507822552e-262.91070753911276e-26
10811.40738548065558e-257.03692740327789e-26
10912.29668322994236e-251.14834161497118e-25
11014.84658403876926e-252.42329201938463e-25
11111.16629762050478e-245.83148810252391e-25
11212.19234435510247e-241.09617217755124e-24
11315.24743491767819e-242.62371745883909e-24
11411.18488660836224e-235.9244330418112e-24
11512.10445561309523e-231.05222780654762e-23
11614.38083002792704e-232.19041501396352e-23
11719.61330312939188e-234.80665156469594e-23
11811.56535549271746e-227.8267774635873e-23
11912.08611108297181e-221.0430555414859e-22
12016.23798259655316e-263.11899129827658e-26
12111.33151926127681e-256.65759630638407e-26
12217.18357269183166e-263.59178634591583e-26
12311.03835863053623e-255.19179315268115e-26
12411.12653293568651e-255.63266467843254e-26
12512.73988765401122e-251.36994382700561e-25
12616.57673267824797e-253.28836633912399e-25
12711.62232179245738e-248.1116089622869e-25
12811.72447739447988e-248.62238697239941e-25
12912.97232130511929e-241.48616065255965e-24
13014.69487520968117e-242.34743760484058e-24
13111.02160362741589e-235.10801813707944e-24
13212.33877041272872e-231.16938520636436e-23
13314.3549654492499e-242.17748272462495e-24
13414.3987767926383e-242.19938839631915e-24
13519.75595451992544e-244.87797725996272e-24
13612.19428348274564e-231.09714174137282e-23
13715.28362868463678e-232.64181434231839e-23
13819.89050311338915e-234.94525155669458e-23
13911.93269626246236e-239.6634813123118e-24
14011.99777152673398e-239.98885763366991e-24
14113.80198343376333e-231.90099171688167e-23
14217.42547610833671e-233.71273805416835e-23
14319.01881570089143e-234.50940785044572e-23
14412.17955590581141e-221.0897779529057e-22
14515.05836097814641e-222.52918048907321e-22
14615.50880553972999e-232.754402769865e-23
14711.06104331552014e-225.30521657760072e-23
14811.70237187509956e-228.5118593754978e-23
14912.8885724524911e-221.44428622624555e-22
15016.47885722661722e-223.23942861330861e-22
15111.46129585711258e-217.30647928556288e-22
15211.84554476537606e-219.22772382688031e-22
15314.36301314948366e-212.18150657474183e-21
15415.86167897197259e-212.9308394859863e-21
15518.78677935917229e-214.39338967958614e-21
15612.09242536926606e-201.04621268463303e-20
15713.7025092183037e-201.85125460915185e-20
15818.10538243502721e-204.0526912175136e-20
15911.74364271773377e-198.71821358866885e-20
16013.79859666146456e-191.89929833073228e-19
16117.13573905542782e-193.56786952771391e-19
16211.62244977756927e-188.11224888784635e-19
16312.25251080674361e-181.12625540337181e-18
16412.11468113560554e-181.05734056780277e-18
16511.14530763491446e-185.7265381745723e-19
16612.5891956468539e-181.29459782342695e-18
16712.95414468154089e-181.47707234077045e-18
16814.10676826399633e-182.05338413199817e-18
16919.09790253542749e-184.54895126771375e-18
17011.8649821258733e-179.32491062936648e-18
17113.8116997361699e-171.90584986808495e-17
17217.69018985784246e-173.84509492892123e-17
17311.26272088562001e-166.31360442810006e-17
17412.72550157516811e-161.36275078758406e-16
17513.3025029780716e-161.6512514890358e-16
17616.62393092617589e-163.31196546308794e-16
17716.35115195181486e-163.17557597590743e-16
1780.9999999999999991.04683033496188e-155.23415167480938e-16
1790.9999999999999991.35022840233292e-156.7511420116646e-16
1800.9999999999999991.26060608821273e-156.30303044106363e-16
1810.9999999999999992.73600966628932e-151.36800483314466e-15
1820.9999999999999975.19289084569671e-152.59644542284835e-15
1830.9999999999999941.13139829792141e-145.65699148960704e-15
1840.9999999999999959.18740912294172e-154.59370456147086e-15
1850.9999999999999931.35353420996956e-146.76767104984782e-15
1860.9999999999999852.93745586366514e-141.46872793183257e-14
1870.9999999999999853.03476782670436e-141.51738391335218e-14
1880.9999999999999676.53889520658113e-143.26944760329057e-14
1890.9999999999999381.23001004958475e-136.15005024792377e-14
1900.9999999999999813.85979082453007e-141.92989541226504e-14
1910.9999999999999931.48570135132832e-147.42850675664158e-15
1920.9999999999999872.69526986974333e-141.34763493487167e-14
1930.9999999999999715.76271277607931e-142.88135638803965e-14
1940.9999999999999872.58137139882446e-141.29068569941223e-14
1950.9999999999999813.74990927274132e-141.87495463637066e-14
1960.9999999999999627.5408640324385e-143.77043201621925e-14
1970.9999999999999461.08539751256613e-135.42698756283065e-14
1980.9999999999998942.12520979725091e-131.06260489862545e-13
1990.9999999999997864.28691138769004e-132.14345569384502e-13
2000.9999999999995958.09289283277734e-134.04644641638867e-13
2010.9999999999991331.73364463194033e-128.66822315970166e-13
2020.9999999999999992.64614515167667e-151.32307257583833e-15
2030.9999999999999984.97779819885692e-152.48889909942846e-15
2040.9999999999999959.26868862159428e-154.63434431079714e-15
2050.9999999999999911.87821639294998e-149.3910819647499e-15
2060.9999999999999794.13762680383332e-142.06881340191666e-14
2070.9999999999999539.29659465479596e-144.64829732739798e-14
2080.9999999999998942.12549808045372e-131.06274904022686e-13
2090.9999999999997854.29340928937332e-132.14670464468666e-13
2100.9999999999997085.84172835626713e-132.92086417813357e-13
2110.9999999999993371.32579562570101e-126.62897812850503e-13
2120.9999999999985162.96872461138263e-121.48436230569131e-12
2130.9999999999967546.49114325186248e-123.24557162593124e-12
2140.9999999999948111.03779195403804e-115.18895977019022e-12
2150.9999999999900691.98623295171749e-119.93116475858743e-12
2160.9999999999852392.95211927794448e-111.47605963897224e-11
2170.9999999999741845.16314213146684e-112.58157106573342e-11
2180.9999999999479591.04082563245632e-105.20412816228158e-11
2190.9999999998907132.18573768695689e-101.09286884347844e-10
2200.9999999997695394.60922948782761e-102.30461474391381e-10
2210.9999999995162189.67563154369312e-104.83781577184656e-10
2220.9999999992352951.5294104366347e-097.64705218317349e-10
2230.9999999984759483.0481034916578e-091.5240517458289e-09
2240.999999997414465.17107962553945e-092.58553981276973e-09
2250.9999999962147177.57056619800344e-093.78528309900172e-09
2260.9999999930614351.38771295439852e-086.93856477199259e-09
2270.9999999862993922.74012154002919e-081.3700607700146e-08
2280.9999999803112163.93775681815219e-081.9688784090761e-08
2290.999999999483031.03393930768075e-095.16969653840376e-10
2300.9999999991420441.71591187735918e-098.5795593867959e-10
2310.999999998300323.39935935889417e-091.69967967944709e-09
2320.9999999962962457.4075106046757e-093.70375530233785e-09
2330.9999999931177211.37645579002575e-086.88227895012877e-09
2340.9999999928661181.42677633285231e-087.13388166426154e-09
2350.9999999896074032.07851947761058e-081.03925973880529e-08
2360.9999999776971914.46056172861904e-082.23028086430952e-08
2370.9999999783347234.33305537494346e-082.16652768747173e-08
2380.9999999645004147.09991712002508e-083.54995856001254e-08
2390.999999929386711.412265797071e-077.06132898535502e-08
2400.9999998803736372.39252725982962e-071.19626362991481e-07
2410.9999997829938934.34012213432627e-072.17006106716314e-07
2420.999999671575866.56848279708157e-073.28424139854078e-07
2430.9999995095506429.80898716595604e-074.90449358297802e-07
2440.9999993909552381.21808952357888e-066.0904476178944e-07
2450.9999990702860321.85942793602912e-069.2971396801456e-07
2460.9999988031941872.39361162578872e-061.19680581289436e-06
2470.9999976229807154.75403857011713e-062.37701928505856e-06
2480.9999963039445027.39211099596882e-063.69605549798441e-06
2490.9999931458570351.37082859301141e-056.85414296505707e-06
2500.999987898199812.42036003802061e-051.21018001901031e-05
2510.9999796120363874.07759272250794e-052.03879636125397e-05
2520.9999602176367127.95647265752922e-053.97823632876461e-05
2530.9999251023685770.0001497952628464227.48976314232109e-05
2540.9998818628196960.0002362743606074050.000118137180303703
2550.9997752054289940.0004495891420128860.000224794571006443
2560.9996272690423480.0007454619153031290.000372730957651564
2570.9996288770821970.0007422458356067950.000371122917803398
2580.9993365973490560.001326805301887190.000663402650943594
2590.998864335533570.002271328932859580.00113566446642979
2600.9983591453680040.003281709263991950.00164085463199598
2610.9976106846833870.004778630633225480.00238931531661274
2620.9965867312986660.006826537402667090.00341326870133354
2630.9954633706827820.009073258634435460.00453662931721773
2640.9929196305076170.01416073898476570.00708036949238283
2650.9901737718959870.01965245620802670.00982622810401337
2660.9860569802104840.02788603957903150.0139430197895158
2670.986988604158740.02602279168251920.0130113958412596
2680.9786517205358680.04269655892826330.0213482794641317
2690.9640827253631880.07183454927362350.0359172746368117
2700.9969500586208160.006099882758367640.00304994137918382
2710.9950438349833330.009912330033333270.00495616501666664
2720.9918460795905280.01630784081894390.00815392040947196
2730.99032824977970.01934350044059940.00967175022029968
2740.978840295010550.04231940997890040.0211597049894502
2750.9797670799592870.04046584008142650.0202329200407132
2760.9723098884670290.05538022306594260.0276901115329713
2770.947319088588260.105361822823480.0526809114117399
2780.8901791416757220.2196417166485560.109820858324278
2790.7706713448316670.4586573103366660.229328655168333

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
10 & 0.470647679843698 & 0.941295359687396 & 0.529352320156302 \tabularnewline
11 & 0.400750574899979 & 0.801501149799957 & 0.599249425100021 \tabularnewline
12 & 0.343104898674648 & 0.686209797349296 & 0.656895101325352 \tabularnewline
13 & 0.237771988130902 & 0.475543976261804 & 0.762228011869098 \tabularnewline
14 & 0.641595734277823 & 0.716808531444354 & 0.358404265722177 \tabularnewline
15 & 0.729018393300986 & 0.541963213398027 & 0.270981606699014 \tabularnewline
16 & 0.651600814479611 & 0.696798371040778 & 0.348399185520389 \tabularnewline
17 & 0.56867340324718 & 0.862653193505641 & 0.43132659675282 \tabularnewline
18 & 0.536021570919202 & 0.927956858161597 & 0.463978429080798 \tabularnewline
19 & 0.475252654590658 & 0.950505309181316 & 0.524747345409342 \tabularnewline
20 & 0.403772040645569 & 0.807544081291137 & 0.596227959354431 \tabularnewline
21 & 0.334094973904089 & 0.668189947808178 & 0.665905026095911 \tabularnewline
22 & 0.26861325154419 & 0.53722650308838 & 0.73138674845581 \tabularnewline
23 & 0.220913073250666 & 0.441826146501333 & 0.779086926749334 \tabularnewline
24 & 0.186432396940213 & 0.372864793880426 & 0.813567603059787 \tabularnewline
25 & 0.25382537490524 & 0.50765074981048 & 0.74617462509476 \tabularnewline
26 & 0.199625116695126 & 0.399250233390253 & 0.800374883304874 \tabularnewline
27 & 0.158969422746156 & 0.317938845492311 & 0.841030577253844 \tabularnewline
28 & 0.120682033493301 & 0.241364066986602 & 0.879317966506699 \tabularnewline
29 & 0.0896909179944124 & 0.179381835988825 & 0.910309082005588 \tabularnewline
30 & 0.0718096781657913 & 0.143619356331583 & 0.928190321834209 \tabularnewline
31 & 0.0543663800022644 & 0.108732760004529 & 0.945633619997736 \tabularnewline
32 & 0.0421134645031498 & 0.0842269290062997 & 0.95788653549685 \tabularnewline
33 & 0.0296888034798854 & 0.0593776069597709 & 0.970311196520115 \tabularnewline
34 & 0.0217035090130989 & 0.0434070180261978 & 0.978296490986901 \tabularnewline
35 & 0.0151353798632988 & 0.0302707597265976 & 0.984864620136701 \tabularnewline
36 & 0.010803223916508 & 0.021606447833016 & 0.989196776083492 \tabularnewline
37 & 0.0079971978059914 & 0.0159943956119828 & 0.992002802194009 \tabularnewline
38 & 0.00583285013943744 & 0.0116657002788749 & 0.994167149860563 \tabularnewline
39 & 0.00384666526349671 & 0.00769333052699342 & 0.996153334736503 \tabularnewline
40 & 0.00246546511151355 & 0.00493093022302711 & 0.997534534888486 \tabularnewline
41 & 0.00169843721951295 & 0.00339687443902591 & 0.998301562780487 \tabularnewline
42 & 0.00188583515219276 & 0.00377167030438551 & 0.998114164847807 \tabularnewline
43 & 0.00254500441813654 & 0.00509000883627308 & 0.997454995581863 \tabularnewline
44 & 0.00164553064634028 & 0.00329106129268055 & 0.99835446935366 \tabularnewline
45 & 0.00104647169262625 & 0.0020929433852525 & 0.998953528307374 \tabularnewline
46 & 0.000713666426143615 & 0.00142733285228723 & 0.999286333573856 \tabularnewline
47 & 0.000766286118240265 & 0.00153257223648053 & 0.99923371388176 \tabularnewline
48 & 0.000983482060778084 & 0.00196696412155617 & 0.999016517939222 \tabularnewline
49 & 0.000627075543945003 & 0.00125415108789001 & 0.999372924456055 \tabularnewline
50 & 1 & 1.36173458525539e-16 & 6.80867292627696e-17 \tabularnewline
51 & 1 & 1.77284147208407e-16 & 8.86420736042033e-17 \tabularnewline
52 & 1 & 4.39486166645602e-17 & 2.19743083322801e-17 \tabularnewline
53 & 1 & 7.09441346839361e-17 & 3.5472067341968e-17 \tabularnewline
54 & 1 & 1.60844727289e-16 & 8.04223636445002e-17 \tabularnewline
55 & 1 & 3.10729708629327e-16 & 1.55364854314663e-16 \tabularnewline
56 & 1 & 8.1405916625003e-17 & 4.07029583125015e-17 \tabularnewline
57 & 1 & 1.53190803064265e-16 & 7.65954015321327e-17 \tabularnewline
58 & 1 & 6.1456803048728e-17 & 3.0728401524364e-17 \tabularnewline
59 & 1 & 1.32414715066982e-16 & 6.62073575334911e-17 \tabularnewline
60 & 1 & 2.84232295974783e-16 & 1.42116147987392e-16 \tabularnewline
61 & 1 & 4.9717621413202e-16 & 2.4858810706601e-16 \tabularnewline
62 & 0.999999999999999 & 1.06991149147006e-15 & 5.3495574573503e-16 \tabularnewline
63 & 0.999999999999999 & 2.02840242930519e-15 & 1.01420121465259e-15 \tabularnewline
64 & 0.999999999999998 & 4.05138893153001e-15 & 2.025694465765e-15 \tabularnewline
65 & 0.999999999999998 & 4.91897952167217e-15 & 2.45948976083608e-15 \tabularnewline
66 & 0.999999999999998 & 3.00596740768326e-15 & 1.50298370384163e-15 \tabularnewline
67 & 0.999999999999998 & 4.6093931033194e-15 & 2.3046965516597e-15 \tabularnewline
68 & 0.999999999999996 & 8.82472869147679e-15 & 4.4123643457384e-15 \tabularnewline
69 & 0.999999999999999 & 2.9236991734675e-15 & 1.46184958673375e-15 \tabularnewline
70 & 1 & 7.83069553652749e-16 & 3.91534776826375e-16 \tabularnewline
71 & 0.999999999999999 & 1.05362286921188e-15 & 5.26811434605942e-16 \tabularnewline
72 & 0.999999999999999 & 1.11984512726932e-15 & 5.59922563634662e-16 \tabularnewline
73 & 0.999999999999999 & 1.98742835897669e-15 & 9.93714179488345e-16 \tabularnewline
74 & 0.999999999999998 & 3.86625820250501e-15 & 1.93312910125251e-15 \tabularnewline
75 & 0.999999999999996 & 7.75718083501845e-15 & 3.87859041750922e-15 \tabularnewline
76 & 0.999999999999994 & 1.11283943427872e-14 & 5.56419717139362e-15 \tabularnewline
77 & 0.999999999999998 & 3.02049478619819e-15 & 1.51024739309909e-15 \tabularnewline
78 & 0.999999999999998 & 4.6030640534126e-15 & 2.3015320267063e-15 \tabularnewline
79 & 0.999999999999996 & 7.36390558491366e-15 & 3.68195279245683e-15 \tabularnewline
80 & 0.999999999999996 & 8.19058050905409e-15 & 4.09529025452705e-15 \tabularnewline
81 & 0.999999999999992 & 1.61934803312315e-14 & 8.09674016561574e-15 \tabularnewline
82 & 0.999999999999987 & 2.59093096547218e-14 & 1.29546548273609e-14 \tabularnewline
83 & 0.999999999999976 & 4.79772785118336e-14 & 2.39886392559168e-14 \tabularnewline
84 & 0.999999999999954 & 9.14416950380173e-14 & 4.57208475190087e-14 \tabularnewline
85 & 0.999999999999913 & 1.74331271070311e-13 & 8.71656355351553e-14 \tabularnewline
86 & 0.999999999999858 & 2.83405072482026e-13 & 1.41702536241013e-13 \tabularnewline
87 & 0.999999999999756 & 4.88129392641055e-13 & 2.44064696320528e-13 \tabularnewline
88 & 0.9999999999996 & 7.9958008268057e-13 & 3.99790041340285e-13 \tabularnewline
89 & 0.999999999999405 & 1.18909622943881e-12 & 5.94548114719407e-13 \tabularnewline
90 & 0.99999999999923 & 1.5398563564872e-12 & 7.69928178243602e-13 \tabularnewline
91 & 1 & 2.05701784369831e-29 & 1.02850892184915e-29 \tabularnewline
92 & 1 & 4.14699619670175e-29 & 2.07349809835087e-29 \tabularnewline
93 & 1 & 6.89691940181503e-29 & 3.44845970090752e-29 \tabularnewline
94 & 1 & 1.7966582099242e-28 & 8.98329104962102e-29 \tabularnewline
95 & 1 & 3.88453307179903e-28 & 1.94226653589952e-28 \tabularnewline
96 & 1 & 6.88556354819709e-28 & 3.44278177409854e-28 \tabularnewline
97 & 1 & 7.13717069904381e-29 & 3.56858534952191e-29 \tabularnewline
98 & 1 & 1.90549171251436e-28 & 9.52745856257182e-29 \tabularnewline
99 & 1 & 3.56339229730966e-28 & 1.78169614865483e-28 \tabularnewline
100 & 1 & 7.86700225626895e-28 & 3.93350112813448e-28 \tabularnewline
101 & 1 & 1.9800885231632e-27 & 9.900442615816e-28 \tabularnewline
102 & 1 & 3.87003617484301e-27 & 1.9350180874215e-27 \tabularnewline
103 & 1 & 7.25943032187325e-27 & 3.62971516093662e-27 \tabularnewline
104 & 1 & 1.49581246484997e-26 & 7.47906232424985e-27 \tabularnewline
105 & 1 & 1.16938656613287e-26 & 5.84693283066437e-27 \tabularnewline
106 & 1 & 2.72039107057261e-26 & 1.36019553528631e-26 \tabularnewline
107 & 1 & 5.82141507822552e-26 & 2.91070753911276e-26 \tabularnewline
108 & 1 & 1.40738548065558e-25 & 7.03692740327789e-26 \tabularnewline
109 & 1 & 2.29668322994236e-25 & 1.14834161497118e-25 \tabularnewline
110 & 1 & 4.84658403876926e-25 & 2.42329201938463e-25 \tabularnewline
111 & 1 & 1.16629762050478e-24 & 5.83148810252391e-25 \tabularnewline
112 & 1 & 2.19234435510247e-24 & 1.09617217755124e-24 \tabularnewline
113 & 1 & 5.24743491767819e-24 & 2.62371745883909e-24 \tabularnewline
114 & 1 & 1.18488660836224e-23 & 5.9244330418112e-24 \tabularnewline
115 & 1 & 2.10445561309523e-23 & 1.05222780654762e-23 \tabularnewline
116 & 1 & 4.38083002792704e-23 & 2.19041501396352e-23 \tabularnewline
117 & 1 & 9.61330312939188e-23 & 4.80665156469594e-23 \tabularnewline
118 & 1 & 1.56535549271746e-22 & 7.8267774635873e-23 \tabularnewline
119 & 1 & 2.08611108297181e-22 & 1.0430555414859e-22 \tabularnewline
120 & 1 & 6.23798259655316e-26 & 3.11899129827658e-26 \tabularnewline
121 & 1 & 1.33151926127681e-25 & 6.65759630638407e-26 \tabularnewline
122 & 1 & 7.18357269183166e-26 & 3.59178634591583e-26 \tabularnewline
123 & 1 & 1.03835863053623e-25 & 5.19179315268115e-26 \tabularnewline
124 & 1 & 1.12653293568651e-25 & 5.63266467843254e-26 \tabularnewline
125 & 1 & 2.73988765401122e-25 & 1.36994382700561e-25 \tabularnewline
126 & 1 & 6.57673267824797e-25 & 3.28836633912399e-25 \tabularnewline
127 & 1 & 1.62232179245738e-24 & 8.1116089622869e-25 \tabularnewline
128 & 1 & 1.72447739447988e-24 & 8.62238697239941e-25 \tabularnewline
129 & 1 & 2.97232130511929e-24 & 1.48616065255965e-24 \tabularnewline
130 & 1 & 4.69487520968117e-24 & 2.34743760484058e-24 \tabularnewline
131 & 1 & 1.02160362741589e-23 & 5.10801813707944e-24 \tabularnewline
132 & 1 & 2.33877041272872e-23 & 1.16938520636436e-23 \tabularnewline
133 & 1 & 4.3549654492499e-24 & 2.17748272462495e-24 \tabularnewline
134 & 1 & 4.3987767926383e-24 & 2.19938839631915e-24 \tabularnewline
135 & 1 & 9.75595451992544e-24 & 4.87797725996272e-24 \tabularnewline
136 & 1 & 2.19428348274564e-23 & 1.09714174137282e-23 \tabularnewline
137 & 1 & 5.28362868463678e-23 & 2.64181434231839e-23 \tabularnewline
138 & 1 & 9.89050311338915e-23 & 4.94525155669458e-23 \tabularnewline
139 & 1 & 1.93269626246236e-23 & 9.6634813123118e-24 \tabularnewline
140 & 1 & 1.99777152673398e-23 & 9.98885763366991e-24 \tabularnewline
141 & 1 & 3.80198343376333e-23 & 1.90099171688167e-23 \tabularnewline
142 & 1 & 7.42547610833671e-23 & 3.71273805416835e-23 \tabularnewline
143 & 1 & 9.01881570089143e-23 & 4.50940785044572e-23 \tabularnewline
144 & 1 & 2.17955590581141e-22 & 1.0897779529057e-22 \tabularnewline
145 & 1 & 5.05836097814641e-22 & 2.52918048907321e-22 \tabularnewline
146 & 1 & 5.50880553972999e-23 & 2.754402769865e-23 \tabularnewline
147 & 1 & 1.06104331552014e-22 & 5.30521657760072e-23 \tabularnewline
148 & 1 & 1.70237187509956e-22 & 8.5118593754978e-23 \tabularnewline
149 & 1 & 2.8885724524911e-22 & 1.44428622624555e-22 \tabularnewline
150 & 1 & 6.47885722661722e-22 & 3.23942861330861e-22 \tabularnewline
151 & 1 & 1.46129585711258e-21 & 7.30647928556288e-22 \tabularnewline
152 & 1 & 1.84554476537606e-21 & 9.22772382688031e-22 \tabularnewline
153 & 1 & 4.36301314948366e-21 & 2.18150657474183e-21 \tabularnewline
154 & 1 & 5.86167897197259e-21 & 2.9308394859863e-21 \tabularnewline
155 & 1 & 8.78677935917229e-21 & 4.39338967958614e-21 \tabularnewline
156 & 1 & 2.09242536926606e-20 & 1.04621268463303e-20 \tabularnewline
157 & 1 & 3.7025092183037e-20 & 1.85125460915185e-20 \tabularnewline
158 & 1 & 8.10538243502721e-20 & 4.0526912175136e-20 \tabularnewline
159 & 1 & 1.74364271773377e-19 & 8.71821358866885e-20 \tabularnewline
160 & 1 & 3.79859666146456e-19 & 1.89929833073228e-19 \tabularnewline
161 & 1 & 7.13573905542782e-19 & 3.56786952771391e-19 \tabularnewline
162 & 1 & 1.62244977756927e-18 & 8.11224888784635e-19 \tabularnewline
163 & 1 & 2.25251080674361e-18 & 1.12625540337181e-18 \tabularnewline
164 & 1 & 2.11468113560554e-18 & 1.05734056780277e-18 \tabularnewline
165 & 1 & 1.14530763491446e-18 & 5.7265381745723e-19 \tabularnewline
166 & 1 & 2.5891956468539e-18 & 1.29459782342695e-18 \tabularnewline
167 & 1 & 2.95414468154089e-18 & 1.47707234077045e-18 \tabularnewline
168 & 1 & 4.10676826399633e-18 & 2.05338413199817e-18 \tabularnewline
169 & 1 & 9.09790253542749e-18 & 4.54895126771375e-18 \tabularnewline
170 & 1 & 1.8649821258733e-17 & 9.32491062936648e-18 \tabularnewline
171 & 1 & 3.8116997361699e-17 & 1.90584986808495e-17 \tabularnewline
172 & 1 & 7.69018985784246e-17 & 3.84509492892123e-17 \tabularnewline
173 & 1 & 1.26272088562001e-16 & 6.31360442810006e-17 \tabularnewline
174 & 1 & 2.72550157516811e-16 & 1.36275078758406e-16 \tabularnewline
175 & 1 & 3.3025029780716e-16 & 1.6512514890358e-16 \tabularnewline
176 & 1 & 6.62393092617589e-16 & 3.31196546308794e-16 \tabularnewline
177 & 1 & 6.35115195181486e-16 & 3.17557597590743e-16 \tabularnewline
178 & 0.999999999999999 & 1.04683033496188e-15 & 5.23415167480938e-16 \tabularnewline
179 & 0.999999999999999 & 1.35022840233292e-15 & 6.7511420116646e-16 \tabularnewline
180 & 0.999999999999999 & 1.26060608821273e-15 & 6.30303044106363e-16 \tabularnewline
181 & 0.999999999999999 & 2.73600966628932e-15 & 1.36800483314466e-15 \tabularnewline
182 & 0.999999999999997 & 5.19289084569671e-15 & 2.59644542284835e-15 \tabularnewline
183 & 0.999999999999994 & 1.13139829792141e-14 & 5.65699148960704e-15 \tabularnewline
184 & 0.999999999999995 & 9.18740912294172e-15 & 4.59370456147086e-15 \tabularnewline
185 & 0.999999999999993 & 1.35353420996956e-14 & 6.76767104984782e-15 \tabularnewline
186 & 0.999999999999985 & 2.93745586366514e-14 & 1.46872793183257e-14 \tabularnewline
187 & 0.999999999999985 & 3.03476782670436e-14 & 1.51738391335218e-14 \tabularnewline
188 & 0.999999999999967 & 6.53889520658113e-14 & 3.26944760329057e-14 \tabularnewline
189 & 0.999999999999938 & 1.23001004958475e-13 & 6.15005024792377e-14 \tabularnewline
190 & 0.999999999999981 & 3.85979082453007e-14 & 1.92989541226504e-14 \tabularnewline
191 & 0.999999999999993 & 1.48570135132832e-14 & 7.42850675664158e-15 \tabularnewline
192 & 0.999999999999987 & 2.69526986974333e-14 & 1.34763493487167e-14 \tabularnewline
193 & 0.999999999999971 & 5.76271277607931e-14 & 2.88135638803965e-14 \tabularnewline
194 & 0.999999999999987 & 2.58137139882446e-14 & 1.29068569941223e-14 \tabularnewline
195 & 0.999999999999981 & 3.74990927274132e-14 & 1.87495463637066e-14 \tabularnewline
196 & 0.999999999999962 & 7.5408640324385e-14 & 3.77043201621925e-14 \tabularnewline
197 & 0.999999999999946 & 1.08539751256613e-13 & 5.42698756283065e-14 \tabularnewline
198 & 0.999999999999894 & 2.12520979725091e-13 & 1.06260489862545e-13 \tabularnewline
199 & 0.999999999999786 & 4.28691138769004e-13 & 2.14345569384502e-13 \tabularnewline
200 & 0.999999999999595 & 8.09289283277734e-13 & 4.04644641638867e-13 \tabularnewline
201 & 0.999999999999133 & 1.73364463194033e-12 & 8.66822315970166e-13 \tabularnewline
202 & 0.999999999999999 & 2.64614515167667e-15 & 1.32307257583833e-15 \tabularnewline
203 & 0.999999999999998 & 4.97779819885692e-15 & 2.48889909942846e-15 \tabularnewline
204 & 0.999999999999995 & 9.26868862159428e-15 & 4.63434431079714e-15 \tabularnewline
205 & 0.999999999999991 & 1.87821639294998e-14 & 9.3910819647499e-15 \tabularnewline
206 & 0.999999999999979 & 4.13762680383332e-14 & 2.06881340191666e-14 \tabularnewline
207 & 0.999999999999953 & 9.29659465479596e-14 & 4.64829732739798e-14 \tabularnewline
208 & 0.999999999999894 & 2.12549808045372e-13 & 1.06274904022686e-13 \tabularnewline
209 & 0.999999999999785 & 4.29340928937332e-13 & 2.14670464468666e-13 \tabularnewline
210 & 0.999999999999708 & 5.84172835626713e-13 & 2.92086417813357e-13 \tabularnewline
211 & 0.999999999999337 & 1.32579562570101e-12 & 6.62897812850503e-13 \tabularnewline
212 & 0.999999999998516 & 2.96872461138263e-12 & 1.48436230569131e-12 \tabularnewline
213 & 0.999999999996754 & 6.49114325186248e-12 & 3.24557162593124e-12 \tabularnewline
214 & 0.999999999994811 & 1.03779195403804e-11 & 5.18895977019022e-12 \tabularnewline
215 & 0.999999999990069 & 1.98623295171749e-11 & 9.93116475858743e-12 \tabularnewline
216 & 0.999999999985239 & 2.95211927794448e-11 & 1.47605963897224e-11 \tabularnewline
217 & 0.999999999974184 & 5.16314213146684e-11 & 2.58157106573342e-11 \tabularnewline
218 & 0.999999999947959 & 1.04082563245632e-10 & 5.20412816228158e-11 \tabularnewline
219 & 0.999999999890713 & 2.18573768695689e-10 & 1.09286884347844e-10 \tabularnewline
220 & 0.999999999769539 & 4.60922948782761e-10 & 2.30461474391381e-10 \tabularnewline
221 & 0.999999999516218 & 9.67563154369312e-10 & 4.83781577184656e-10 \tabularnewline
222 & 0.999999999235295 & 1.5294104366347e-09 & 7.64705218317349e-10 \tabularnewline
223 & 0.999999998475948 & 3.0481034916578e-09 & 1.5240517458289e-09 \tabularnewline
224 & 0.99999999741446 & 5.17107962553945e-09 & 2.58553981276973e-09 \tabularnewline
225 & 0.999999996214717 & 7.57056619800344e-09 & 3.78528309900172e-09 \tabularnewline
226 & 0.999999993061435 & 1.38771295439852e-08 & 6.93856477199259e-09 \tabularnewline
227 & 0.999999986299392 & 2.74012154002919e-08 & 1.3700607700146e-08 \tabularnewline
228 & 0.999999980311216 & 3.93775681815219e-08 & 1.9688784090761e-08 \tabularnewline
229 & 0.99999999948303 & 1.03393930768075e-09 & 5.16969653840376e-10 \tabularnewline
230 & 0.999999999142044 & 1.71591187735918e-09 & 8.5795593867959e-10 \tabularnewline
231 & 0.99999999830032 & 3.39935935889417e-09 & 1.69967967944709e-09 \tabularnewline
232 & 0.999999996296245 & 7.4075106046757e-09 & 3.70375530233785e-09 \tabularnewline
233 & 0.999999993117721 & 1.37645579002575e-08 & 6.88227895012877e-09 \tabularnewline
234 & 0.999999992866118 & 1.42677633285231e-08 & 7.13388166426154e-09 \tabularnewline
235 & 0.999999989607403 & 2.07851947761058e-08 & 1.03925973880529e-08 \tabularnewline
236 & 0.999999977697191 & 4.46056172861904e-08 & 2.23028086430952e-08 \tabularnewline
237 & 0.999999978334723 & 4.33305537494346e-08 & 2.16652768747173e-08 \tabularnewline
238 & 0.999999964500414 & 7.09991712002508e-08 & 3.54995856001254e-08 \tabularnewline
239 & 0.99999992938671 & 1.412265797071e-07 & 7.06132898535502e-08 \tabularnewline
240 & 0.999999880373637 & 2.39252725982962e-07 & 1.19626362991481e-07 \tabularnewline
241 & 0.999999782993893 & 4.34012213432627e-07 & 2.17006106716314e-07 \tabularnewline
242 & 0.99999967157586 & 6.56848279708157e-07 & 3.28424139854078e-07 \tabularnewline
243 & 0.999999509550642 & 9.80898716595604e-07 & 4.90449358297802e-07 \tabularnewline
244 & 0.999999390955238 & 1.21808952357888e-06 & 6.0904476178944e-07 \tabularnewline
245 & 0.999999070286032 & 1.85942793602912e-06 & 9.2971396801456e-07 \tabularnewline
246 & 0.999998803194187 & 2.39361162578872e-06 & 1.19680581289436e-06 \tabularnewline
247 & 0.999997622980715 & 4.75403857011713e-06 & 2.37701928505856e-06 \tabularnewline
248 & 0.999996303944502 & 7.39211099596882e-06 & 3.69605549798441e-06 \tabularnewline
249 & 0.999993145857035 & 1.37082859301141e-05 & 6.85414296505707e-06 \tabularnewline
250 & 0.99998789819981 & 2.42036003802061e-05 & 1.21018001901031e-05 \tabularnewline
251 & 0.999979612036387 & 4.07759272250794e-05 & 2.03879636125397e-05 \tabularnewline
252 & 0.999960217636712 & 7.95647265752922e-05 & 3.97823632876461e-05 \tabularnewline
253 & 0.999925102368577 & 0.000149795262846422 & 7.48976314232109e-05 \tabularnewline
254 & 0.999881862819696 & 0.000236274360607405 & 0.000118137180303703 \tabularnewline
255 & 0.999775205428994 & 0.000449589142012886 & 0.000224794571006443 \tabularnewline
256 & 0.999627269042348 & 0.000745461915303129 & 0.000372730957651564 \tabularnewline
257 & 0.999628877082197 & 0.000742245835606795 & 0.000371122917803398 \tabularnewline
258 & 0.999336597349056 & 0.00132680530188719 & 0.000663402650943594 \tabularnewline
259 & 0.99886433553357 & 0.00227132893285958 & 0.00113566446642979 \tabularnewline
260 & 0.998359145368004 & 0.00328170926399195 & 0.00164085463199598 \tabularnewline
261 & 0.997610684683387 & 0.00477863063322548 & 0.00238931531661274 \tabularnewline
262 & 0.996586731298666 & 0.00682653740266709 & 0.00341326870133354 \tabularnewline
263 & 0.995463370682782 & 0.00907325863443546 & 0.00453662931721773 \tabularnewline
264 & 0.992919630507617 & 0.0141607389847657 & 0.00708036949238283 \tabularnewline
265 & 0.990173771895987 & 0.0196524562080267 & 0.00982622810401337 \tabularnewline
266 & 0.986056980210484 & 0.0278860395790315 & 0.0139430197895158 \tabularnewline
267 & 0.98698860415874 & 0.0260227916825192 & 0.0130113958412596 \tabularnewline
268 & 0.978651720535868 & 0.0426965589282633 & 0.0213482794641317 \tabularnewline
269 & 0.964082725363188 & 0.0718345492736235 & 0.0359172746368117 \tabularnewline
270 & 0.996950058620816 & 0.00609988275836764 & 0.00304994137918382 \tabularnewline
271 & 0.995043834983333 & 0.00991233003333327 & 0.00495616501666664 \tabularnewline
272 & 0.991846079590528 & 0.0163078408189439 & 0.00815392040947196 \tabularnewline
273 & 0.9903282497797 & 0.0193435004405994 & 0.00967175022029968 \tabularnewline
274 & 0.97884029501055 & 0.0423194099789004 & 0.0211597049894502 \tabularnewline
275 & 0.979767079959287 & 0.0404658400814265 & 0.0202329200407132 \tabularnewline
276 & 0.972309888467029 & 0.0553802230659426 & 0.0276901115329713 \tabularnewline
277 & 0.94731908858826 & 0.10536182282348 & 0.0526809114117399 \tabularnewline
278 & 0.890179141675722 & 0.219641716648556 & 0.109820858324278 \tabularnewline
279 & 0.770671344831667 & 0.458657310336666 & 0.229328655168333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197161&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]10[/C][C]0.470647679843698[/C][C]0.941295359687396[/C][C]0.529352320156302[/C][/ROW]
[ROW][C]11[/C][C]0.400750574899979[/C][C]0.801501149799957[/C][C]0.599249425100021[/C][/ROW]
[ROW][C]12[/C][C]0.343104898674648[/C][C]0.686209797349296[/C][C]0.656895101325352[/C][/ROW]
[ROW][C]13[/C][C]0.237771988130902[/C][C]0.475543976261804[/C][C]0.762228011869098[/C][/ROW]
[ROW][C]14[/C][C]0.641595734277823[/C][C]0.716808531444354[/C][C]0.358404265722177[/C][/ROW]
[ROW][C]15[/C][C]0.729018393300986[/C][C]0.541963213398027[/C][C]0.270981606699014[/C][/ROW]
[ROW][C]16[/C][C]0.651600814479611[/C][C]0.696798371040778[/C][C]0.348399185520389[/C][/ROW]
[ROW][C]17[/C][C]0.56867340324718[/C][C]0.862653193505641[/C][C]0.43132659675282[/C][/ROW]
[ROW][C]18[/C][C]0.536021570919202[/C][C]0.927956858161597[/C][C]0.463978429080798[/C][/ROW]
[ROW][C]19[/C][C]0.475252654590658[/C][C]0.950505309181316[/C][C]0.524747345409342[/C][/ROW]
[ROW][C]20[/C][C]0.403772040645569[/C][C]0.807544081291137[/C][C]0.596227959354431[/C][/ROW]
[ROW][C]21[/C][C]0.334094973904089[/C][C]0.668189947808178[/C][C]0.665905026095911[/C][/ROW]
[ROW][C]22[/C][C]0.26861325154419[/C][C]0.53722650308838[/C][C]0.73138674845581[/C][/ROW]
[ROW][C]23[/C][C]0.220913073250666[/C][C]0.441826146501333[/C][C]0.779086926749334[/C][/ROW]
[ROW][C]24[/C][C]0.186432396940213[/C][C]0.372864793880426[/C][C]0.813567603059787[/C][/ROW]
[ROW][C]25[/C][C]0.25382537490524[/C][C]0.50765074981048[/C][C]0.74617462509476[/C][/ROW]
[ROW][C]26[/C][C]0.199625116695126[/C][C]0.399250233390253[/C][C]0.800374883304874[/C][/ROW]
[ROW][C]27[/C][C]0.158969422746156[/C][C]0.317938845492311[/C][C]0.841030577253844[/C][/ROW]
[ROW][C]28[/C][C]0.120682033493301[/C][C]0.241364066986602[/C][C]0.879317966506699[/C][/ROW]
[ROW][C]29[/C][C]0.0896909179944124[/C][C]0.179381835988825[/C][C]0.910309082005588[/C][/ROW]
[ROW][C]30[/C][C]0.0718096781657913[/C][C]0.143619356331583[/C][C]0.928190321834209[/C][/ROW]
[ROW][C]31[/C][C]0.0543663800022644[/C][C]0.108732760004529[/C][C]0.945633619997736[/C][/ROW]
[ROW][C]32[/C][C]0.0421134645031498[/C][C]0.0842269290062997[/C][C]0.95788653549685[/C][/ROW]
[ROW][C]33[/C][C]0.0296888034798854[/C][C]0.0593776069597709[/C][C]0.970311196520115[/C][/ROW]
[ROW][C]34[/C][C]0.0217035090130989[/C][C]0.0434070180261978[/C][C]0.978296490986901[/C][/ROW]
[ROW][C]35[/C][C]0.0151353798632988[/C][C]0.0302707597265976[/C][C]0.984864620136701[/C][/ROW]
[ROW][C]36[/C][C]0.010803223916508[/C][C]0.021606447833016[/C][C]0.989196776083492[/C][/ROW]
[ROW][C]37[/C][C]0.0079971978059914[/C][C]0.0159943956119828[/C][C]0.992002802194009[/C][/ROW]
[ROW][C]38[/C][C]0.00583285013943744[/C][C]0.0116657002788749[/C][C]0.994167149860563[/C][/ROW]
[ROW][C]39[/C][C]0.00384666526349671[/C][C]0.00769333052699342[/C][C]0.996153334736503[/C][/ROW]
[ROW][C]40[/C][C]0.00246546511151355[/C][C]0.00493093022302711[/C][C]0.997534534888486[/C][/ROW]
[ROW][C]41[/C][C]0.00169843721951295[/C][C]0.00339687443902591[/C][C]0.998301562780487[/C][/ROW]
[ROW][C]42[/C][C]0.00188583515219276[/C][C]0.00377167030438551[/C][C]0.998114164847807[/C][/ROW]
[ROW][C]43[/C][C]0.00254500441813654[/C][C]0.00509000883627308[/C][C]0.997454995581863[/C][/ROW]
[ROW][C]44[/C][C]0.00164553064634028[/C][C]0.00329106129268055[/C][C]0.99835446935366[/C][/ROW]
[ROW][C]45[/C][C]0.00104647169262625[/C][C]0.0020929433852525[/C][C]0.998953528307374[/C][/ROW]
[ROW][C]46[/C][C]0.000713666426143615[/C][C]0.00142733285228723[/C][C]0.999286333573856[/C][/ROW]
[ROW][C]47[/C][C]0.000766286118240265[/C][C]0.00153257223648053[/C][C]0.99923371388176[/C][/ROW]
[ROW][C]48[/C][C]0.000983482060778084[/C][C]0.00196696412155617[/C][C]0.999016517939222[/C][/ROW]
[ROW][C]49[/C][C]0.000627075543945003[/C][C]0.00125415108789001[/C][C]0.999372924456055[/C][/ROW]
[ROW][C]50[/C][C]1[/C][C]1.36173458525539e-16[/C][C]6.80867292627696e-17[/C][/ROW]
[ROW][C]51[/C][C]1[/C][C]1.77284147208407e-16[/C][C]8.86420736042033e-17[/C][/ROW]
[ROW][C]52[/C][C]1[/C][C]4.39486166645602e-17[/C][C]2.19743083322801e-17[/C][/ROW]
[ROW][C]53[/C][C]1[/C][C]7.09441346839361e-17[/C][C]3.5472067341968e-17[/C][/ROW]
[ROW][C]54[/C][C]1[/C][C]1.60844727289e-16[/C][C]8.04223636445002e-17[/C][/ROW]
[ROW][C]55[/C][C]1[/C][C]3.10729708629327e-16[/C][C]1.55364854314663e-16[/C][/ROW]
[ROW][C]56[/C][C]1[/C][C]8.1405916625003e-17[/C][C]4.07029583125015e-17[/C][/ROW]
[ROW][C]57[/C][C]1[/C][C]1.53190803064265e-16[/C][C]7.65954015321327e-17[/C][/ROW]
[ROW][C]58[/C][C]1[/C][C]6.1456803048728e-17[/C][C]3.0728401524364e-17[/C][/ROW]
[ROW][C]59[/C][C]1[/C][C]1.32414715066982e-16[/C][C]6.62073575334911e-17[/C][/ROW]
[ROW][C]60[/C][C]1[/C][C]2.84232295974783e-16[/C][C]1.42116147987392e-16[/C][/ROW]
[ROW][C]61[/C][C]1[/C][C]4.9717621413202e-16[/C][C]2.4858810706601e-16[/C][/ROW]
[ROW][C]62[/C][C]0.999999999999999[/C][C]1.06991149147006e-15[/C][C]5.3495574573503e-16[/C][/ROW]
[ROW][C]63[/C][C]0.999999999999999[/C][C]2.02840242930519e-15[/C][C]1.01420121465259e-15[/C][/ROW]
[ROW][C]64[/C][C]0.999999999999998[/C][C]4.05138893153001e-15[/C][C]2.025694465765e-15[/C][/ROW]
[ROW][C]65[/C][C]0.999999999999998[/C][C]4.91897952167217e-15[/C][C]2.45948976083608e-15[/C][/ROW]
[ROW][C]66[/C][C]0.999999999999998[/C][C]3.00596740768326e-15[/C][C]1.50298370384163e-15[/C][/ROW]
[ROW][C]67[/C][C]0.999999999999998[/C][C]4.6093931033194e-15[/C][C]2.3046965516597e-15[/C][/ROW]
[ROW][C]68[/C][C]0.999999999999996[/C][C]8.82472869147679e-15[/C][C]4.4123643457384e-15[/C][/ROW]
[ROW][C]69[/C][C]0.999999999999999[/C][C]2.9236991734675e-15[/C][C]1.46184958673375e-15[/C][/ROW]
[ROW][C]70[/C][C]1[/C][C]7.83069553652749e-16[/C][C]3.91534776826375e-16[/C][/ROW]
[ROW][C]71[/C][C]0.999999999999999[/C][C]1.05362286921188e-15[/C][C]5.26811434605942e-16[/C][/ROW]
[ROW][C]72[/C][C]0.999999999999999[/C][C]1.11984512726932e-15[/C][C]5.59922563634662e-16[/C][/ROW]
[ROW][C]73[/C][C]0.999999999999999[/C][C]1.98742835897669e-15[/C][C]9.93714179488345e-16[/C][/ROW]
[ROW][C]74[/C][C]0.999999999999998[/C][C]3.86625820250501e-15[/C][C]1.93312910125251e-15[/C][/ROW]
[ROW][C]75[/C][C]0.999999999999996[/C][C]7.75718083501845e-15[/C][C]3.87859041750922e-15[/C][/ROW]
[ROW][C]76[/C][C]0.999999999999994[/C][C]1.11283943427872e-14[/C][C]5.56419717139362e-15[/C][/ROW]
[ROW][C]77[/C][C]0.999999999999998[/C][C]3.02049478619819e-15[/C][C]1.51024739309909e-15[/C][/ROW]
[ROW][C]78[/C][C]0.999999999999998[/C][C]4.6030640534126e-15[/C][C]2.3015320267063e-15[/C][/ROW]
[ROW][C]79[/C][C]0.999999999999996[/C][C]7.36390558491366e-15[/C][C]3.68195279245683e-15[/C][/ROW]
[ROW][C]80[/C][C]0.999999999999996[/C][C]8.19058050905409e-15[/C][C]4.09529025452705e-15[/C][/ROW]
[ROW][C]81[/C][C]0.999999999999992[/C][C]1.61934803312315e-14[/C][C]8.09674016561574e-15[/C][/ROW]
[ROW][C]82[/C][C]0.999999999999987[/C][C]2.59093096547218e-14[/C][C]1.29546548273609e-14[/C][/ROW]
[ROW][C]83[/C][C]0.999999999999976[/C][C]4.79772785118336e-14[/C][C]2.39886392559168e-14[/C][/ROW]
[ROW][C]84[/C][C]0.999999999999954[/C][C]9.14416950380173e-14[/C][C]4.57208475190087e-14[/C][/ROW]
[ROW][C]85[/C][C]0.999999999999913[/C][C]1.74331271070311e-13[/C][C]8.71656355351553e-14[/C][/ROW]
[ROW][C]86[/C][C]0.999999999999858[/C][C]2.83405072482026e-13[/C][C]1.41702536241013e-13[/C][/ROW]
[ROW][C]87[/C][C]0.999999999999756[/C][C]4.88129392641055e-13[/C][C]2.44064696320528e-13[/C][/ROW]
[ROW][C]88[/C][C]0.9999999999996[/C][C]7.9958008268057e-13[/C][C]3.99790041340285e-13[/C][/ROW]
[ROW][C]89[/C][C]0.999999999999405[/C][C]1.18909622943881e-12[/C][C]5.94548114719407e-13[/C][/ROW]
[ROW][C]90[/C][C]0.99999999999923[/C][C]1.5398563564872e-12[/C][C]7.69928178243602e-13[/C][/ROW]
[ROW][C]91[/C][C]1[/C][C]2.05701784369831e-29[/C][C]1.02850892184915e-29[/C][/ROW]
[ROW][C]92[/C][C]1[/C][C]4.14699619670175e-29[/C][C]2.07349809835087e-29[/C][/ROW]
[ROW][C]93[/C][C]1[/C][C]6.89691940181503e-29[/C][C]3.44845970090752e-29[/C][/ROW]
[ROW][C]94[/C][C]1[/C][C]1.7966582099242e-28[/C][C]8.98329104962102e-29[/C][/ROW]
[ROW][C]95[/C][C]1[/C][C]3.88453307179903e-28[/C][C]1.94226653589952e-28[/C][/ROW]
[ROW][C]96[/C][C]1[/C][C]6.88556354819709e-28[/C][C]3.44278177409854e-28[/C][/ROW]
[ROW][C]97[/C][C]1[/C][C]7.13717069904381e-29[/C][C]3.56858534952191e-29[/C][/ROW]
[ROW][C]98[/C][C]1[/C][C]1.90549171251436e-28[/C][C]9.52745856257182e-29[/C][/ROW]
[ROW][C]99[/C][C]1[/C][C]3.56339229730966e-28[/C][C]1.78169614865483e-28[/C][/ROW]
[ROW][C]100[/C][C]1[/C][C]7.86700225626895e-28[/C][C]3.93350112813448e-28[/C][/ROW]
[ROW][C]101[/C][C]1[/C][C]1.9800885231632e-27[/C][C]9.900442615816e-28[/C][/ROW]
[ROW][C]102[/C][C]1[/C][C]3.87003617484301e-27[/C][C]1.9350180874215e-27[/C][/ROW]
[ROW][C]103[/C][C]1[/C][C]7.25943032187325e-27[/C][C]3.62971516093662e-27[/C][/ROW]
[ROW][C]104[/C][C]1[/C][C]1.49581246484997e-26[/C][C]7.47906232424985e-27[/C][/ROW]
[ROW][C]105[/C][C]1[/C][C]1.16938656613287e-26[/C][C]5.84693283066437e-27[/C][/ROW]
[ROW][C]106[/C][C]1[/C][C]2.72039107057261e-26[/C][C]1.36019553528631e-26[/C][/ROW]
[ROW][C]107[/C][C]1[/C][C]5.82141507822552e-26[/C][C]2.91070753911276e-26[/C][/ROW]
[ROW][C]108[/C][C]1[/C][C]1.40738548065558e-25[/C][C]7.03692740327789e-26[/C][/ROW]
[ROW][C]109[/C][C]1[/C][C]2.29668322994236e-25[/C][C]1.14834161497118e-25[/C][/ROW]
[ROW][C]110[/C][C]1[/C][C]4.84658403876926e-25[/C][C]2.42329201938463e-25[/C][/ROW]
[ROW][C]111[/C][C]1[/C][C]1.16629762050478e-24[/C][C]5.83148810252391e-25[/C][/ROW]
[ROW][C]112[/C][C]1[/C][C]2.19234435510247e-24[/C][C]1.09617217755124e-24[/C][/ROW]
[ROW][C]113[/C][C]1[/C][C]5.24743491767819e-24[/C][C]2.62371745883909e-24[/C][/ROW]
[ROW][C]114[/C][C]1[/C][C]1.18488660836224e-23[/C][C]5.9244330418112e-24[/C][/ROW]
[ROW][C]115[/C][C]1[/C][C]2.10445561309523e-23[/C][C]1.05222780654762e-23[/C][/ROW]
[ROW][C]116[/C][C]1[/C][C]4.38083002792704e-23[/C][C]2.19041501396352e-23[/C][/ROW]
[ROW][C]117[/C][C]1[/C][C]9.61330312939188e-23[/C][C]4.80665156469594e-23[/C][/ROW]
[ROW][C]118[/C][C]1[/C][C]1.56535549271746e-22[/C][C]7.8267774635873e-23[/C][/ROW]
[ROW][C]119[/C][C]1[/C][C]2.08611108297181e-22[/C][C]1.0430555414859e-22[/C][/ROW]
[ROW][C]120[/C][C]1[/C][C]6.23798259655316e-26[/C][C]3.11899129827658e-26[/C][/ROW]
[ROW][C]121[/C][C]1[/C][C]1.33151926127681e-25[/C][C]6.65759630638407e-26[/C][/ROW]
[ROW][C]122[/C][C]1[/C][C]7.18357269183166e-26[/C][C]3.59178634591583e-26[/C][/ROW]
[ROW][C]123[/C][C]1[/C][C]1.03835863053623e-25[/C][C]5.19179315268115e-26[/C][/ROW]
[ROW][C]124[/C][C]1[/C][C]1.12653293568651e-25[/C][C]5.63266467843254e-26[/C][/ROW]
[ROW][C]125[/C][C]1[/C][C]2.73988765401122e-25[/C][C]1.36994382700561e-25[/C][/ROW]
[ROW][C]126[/C][C]1[/C][C]6.57673267824797e-25[/C][C]3.28836633912399e-25[/C][/ROW]
[ROW][C]127[/C][C]1[/C][C]1.62232179245738e-24[/C][C]8.1116089622869e-25[/C][/ROW]
[ROW][C]128[/C][C]1[/C][C]1.72447739447988e-24[/C][C]8.62238697239941e-25[/C][/ROW]
[ROW][C]129[/C][C]1[/C][C]2.97232130511929e-24[/C][C]1.48616065255965e-24[/C][/ROW]
[ROW][C]130[/C][C]1[/C][C]4.69487520968117e-24[/C][C]2.34743760484058e-24[/C][/ROW]
[ROW][C]131[/C][C]1[/C][C]1.02160362741589e-23[/C][C]5.10801813707944e-24[/C][/ROW]
[ROW][C]132[/C][C]1[/C][C]2.33877041272872e-23[/C][C]1.16938520636436e-23[/C][/ROW]
[ROW][C]133[/C][C]1[/C][C]4.3549654492499e-24[/C][C]2.17748272462495e-24[/C][/ROW]
[ROW][C]134[/C][C]1[/C][C]4.3987767926383e-24[/C][C]2.19938839631915e-24[/C][/ROW]
[ROW][C]135[/C][C]1[/C][C]9.75595451992544e-24[/C][C]4.87797725996272e-24[/C][/ROW]
[ROW][C]136[/C][C]1[/C][C]2.19428348274564e-23[/C][C]1.09714174137282e-23[/C][/ROW]
[ROW][C]137[/C][C]1[/C][C]5.28362868463678e-23[/C][C]2.64181434231839e-23[/C][/ROW]
[ROW][C]138[/C][C]1[/C][C]9.89050311338915e-23[/C][C]4.94525155669458e-23[/C][/ROW]
[ROW][C]139[/C][C]1[/C][C]1.93269626246236e-23[/C][C]9.6634813123118e-24[/C][/ROW]
[ROW][C]140[/C][C]1[/C][C]1.99777152673398e-23[/C][C]9.98885763366991e-24[/C][/ROW]
[ROW][C]141[/C][C]1[/C][C]3.80198343376333e-23[/C][C]1.90099171688167e-23[/C][/ROW]
[ROW][C]142[/C][C]1[/C][C]7.42547610833671e-23[/C][C]3.71273805416835e-23[/C][/ROW]
[ROW][C]143[/C][C]1[/C][C]9.01881570089143e-23[/C][C]4.50940785044572e-23[/C][/ROW]
[ROW][C]144[/C][C]1[/C][C]2.17955590581141e-22[/C][C]1.0897779529057e-22[/C][/ROW]
[ROW][C]145[/C][C]1[/C][C]5.05836097814641e-22[/C][C]2.52918048907321e-22[/C][/ROW]
[ROW][C]146[/C][C]1[/C][C]5.50880553972999e-23[/C][C]2.754402769865e-23[/C][/ROW]
[ROW][C]147[/C][C]1[/C][C]1.06104331552014e-22[/C][C]5.30521657760072e-23[/C][/ROW]
[ROW][C]148[/C][C]1[/C][C]1.70237187509956e-22[/C][C]8.5118593754978e-23[/C][/ROW]
[ROW][C]149[/C][C]1[/C][C]2.8885724524911e-22[/C][C]1.44428622624555e-22[/C][/ROW]
[ROW][C]150[/C][C]1[/C][C]6.47885722661722e-22[/C][C]3.23942861330861e-22[/C][/ROW]
[ROW][C]151[/C][C]1[/C][C]1.46129585711258e-21[/C][C]7.30647928556288e-22[/C][/ROW]
[ROW][C]152[/C][C]1[/C][C]1.84554476537606e-21[/C][C]9.22772382688031e-22[/C][/ROW]
[ROW][C]153[/C][C]1[/C][C]4.36301314948366e-21[/C][C]2.18150657474183e-21[/C][/ROW]
[ROW][C]154[/C][C]1[/C][C]5.86167897197259e-21[/C][C]2.9308394859863e-21[/C][/ROW]
[ROW][C]155[/C][C]1[/C][C]8.78677935917229e-21[/C][C]4.39338967958614e-21[/C][/ROW]
[ROW][C]156[/C][C]1[/C][C]2.09242536926606e-20[/C][C]1.04621268463303e-20[/C][/ROW]
[ROW][C]157[/C][C]1[/C][C]3.7025092183037e-20[/C][C]1.85125460915185e-20[/C][/ROW]
[ROW][C]158[/C][C]1[/C][C]8.10538243502721e-20[/C][C]4.0526912175136e-20[/C][/ROW]
[ROW][C]159[/C][C]1[/C][C]1.74364271773377e-19[/C][C]8.71821358866885e-20[/C][/ROW]
[ROW][C]160[/C][C]1[/C][C]3.79859666146456e-19[/C][C]1.89929833073228e-19[/C][/ROW]
[ROW][C]161[/C][C]1[/C][C]7.13573905542782e-19[/C][C]3.56786952771391e-19[/C][/ROW]
[ROW][C]162[/C][C]1[/C][C]1.62244977756927e-18[/C][C]8.11224888784635e-19[/C][/ROW]
[ROW][C]163[/C][C]1[/C][C]2.25251080674361e-18[/C][C]1.12625540337181e-18[/C][/ROW]
[ROW][C]164[/C][C]1[/C][C]2.11468113560554e-18[/C][C]1.05734056780277e-18[/C][/ROW]
[ROW][C]165[/C][C]1[/C][C]1.14530763491446e-18[/C][C]5.7265381745723e-19[/C][/ROW]
[ROW][C]166[/C][C]1[/C][C]2.5891956468539e-18[/C][C]1.29459782342695e-18[/C][/ROW]
[ROW][C]167[/C][C]1[/C][C]2.95414468154089e-18[/C][C]1.47707234077045e-18[/C][/ROW]
[ROW][C]168[/C][C]1[/C][C]4.10676826399633e-18[/C][C]2.05338413199817e-18[/C][/ROW]
[ROW][C]169[/C][C]1[/C][C]9.09790253542749e-18[/C][C]4.54895126771375e-18[/C][/ROW]
[ROW][C]170[/C][C]1[/C][C]1.8649821258733e-17[/C][C]9.32491062936648e-18[/C][/ROW]
[ROW][C]171[/C][C]1[/C][C]3.8116997361699e-17[/C][C]1.90584986808495e-17[/C][/ROW]
[ROW][C]172[/C][C]1[/C][C]7.69018985784246e-17[/C][C]3.84509492892123e-17[/C][/ROW]
[ROW][C]173[/C][C]1[/C][C]1.26272088562001e-16[/C][C]6.31360442810006e-17[/C][/ROW]
[ROW][C]174[/C][C]1[/C][C]2.72550157516811e-16[/C][C]1.36275078758406e-16[/C][/ROW]
[ROW][C]175[/C][C]1[/C][C]3.3025029780716e-16[/C][C]1.6512514890358e-16[/C][/ROW]
[ROW][C]176[/C][C]1[/C][C]6.62393092617589e-16[/C][C]3.31196546308794e-16[/C][/ROW]
[ROW][C]177[/C][C]1[/C][C]6.35115195181486e-16[/C][C]3.17557597590743e-16[/C][/ROW]
[ROW][C]178[/C][C]0.999999999999999[/C][C]1.04683033496188e-15[/C][C]5.23415167480938e-16[/C][/ROW]
[ROW][C]179[/C][C]0.999999999999999[/C][C]1.35022840233292e-15[/C][C]6.7511420116646e-16[/C][/ROW]
[ROW][C]180[/C][C]0.999999999999999[/C][C]1.26060608821273e-15[/C][C]6.30303044106363e-16[/C][/ROW]
[ROW][C]181[/C][C]0.999999999999999[/C][C]2.73600966628932e-15[/C][C]1.36800483314466e-15[/C][/ROW]
[ROW][C]182[/C][C]0.999999999999997[/C][C]5.19289084569671e-15[/C][C]2.59644542284835e-15[/C][/ROW]
[ROW][C]183[/C][C]0.999999999999994[/C][C]1.13139829792141e-14[/C][C]5.65699148960704e-15[/C][/ROW]
[ROW][C]184[/C][C]0.999999999999995[/C][C]9.18740912294172e-15[/C][C]4.59370456147086e-15[/C][/ROW]
[ROW][C]185[/C][C]0.999999999999993[/C][C]1.35353420996956e-14[/C][C]6.76767104984782e-15[/C][/ROW]
[ROW][C]186[/C][C]0.999999999999985[/C][C]2.93745586366514e-14[/C][C]1.46872793183257e-14[/C][/ROW]
[ROW][C]187[/C][C]0.999999999999985[/C][C]3.03476782670436e-14[/C][C]1.51738391335218e-14[/C][/ROW]
[ROW][C]188[/C][C]0.999999999999967[/C][C]6.53889520658113e-14[/C][C]3.26944760329057e-14[/C][/ROW]
[ROW][C]189[/C][C]0.999999999999938[/C][C]1.23001004958475e-13[/C][C]6.15005024792377e-14[/C][/ROW]
[ROW][C]190[/C][C]0.999999999999981[/C][C]3.85979082453007e-14[/C][C]1.92989541226504e-14[/C][/ROW]
[ROW][C]191[/C][C]0.999999999999993[/C][C]1.48570135132832e-14[/C][C]7.42850675664158e-15[/C][/ROW]
[ROW][C]192[/C][C]0.999999999999987[/C][C]2.69526986974333e-14[/C][C]1.34763493487167e-14[/C][/ROW]
[ROW][C]193[/C][C]0.999999999999971[/C][C]5.76271277607931e-14[/C][C]2.88135638803965e-14[/C][/ROW]
[ROW][C]194[/C][C]0.999999999999987[/C][C]2.58137139882446e-14[/C][C]1.29068569941223e-14[/C][/ROW]
[ROW][C]195[/C][C]0.999999999999981[/C][C]3.74990927274132e-14[/C][C]1.87495463637066e-14[/C][/ROW]
[ROW][C]196[/C][C]0.999999999999962[/C][C]7.5408640324385e-14[/C][C]3.77043201621925e-14[/C][/ROW]
[ROW][C]197[/C][C]0.999999999999946[/C][C]1.08539751256613e-13[/C][C]5.42698756283065e-14[/C][/ROW]
[ROW][C]198[/C][C]0.999999999999894[/C][C]2.12520979725091e-13[/C][C]1.06260489862545e-13[/C][/ROW]
[ROW][C]199[/C][C]0.999999999999786[/C][C]4.28691138769004e-13[/C][C]2.14345569384502e-13[/C][/ROW]
[ROW][C]200[/C][C]0.999999999999595[/C][C]8.09289283277734e-13[/C][C]4.04644641638867e-13[/C][/ROW]
[ROW][C]201[/C][C]0.999999999999133[/C][C]1.73364463194033e-12[/C][C]8.66822315970166e-13[/C][/ROW]
[ROW][C]202[/C][C]0.999999999999999[/C][C]2.64614515167667e-15[/C][C]1.32307257583833e-15[/C][/ROW]
[ROW][C]203[/C][C]0.999999999999998[/C][C]4.97779819885692e-15[/C][C]2.48889909942846e-15[/C][/ROW]
[ROW][C]204[/C][C]0.999999999999995[/C][C]9.26868862159428e-15[/C][C]4.63434431079714e-15[/C][/ROW]
[ROW][C]205[/C][C]0.999999999999991[/C][C]1.87821639294998e-14[/C][C]9.3910819647499e-15[/C][/ROW]
[ROW][C]206[/C][C]0.999999999999979[/C][C]4.13762680383332e-14[/C][C]2.06881340191666e-14[/C][/ROW]
[ROW][C]207[/C][C]0.999999999999953[/C][C]9.29659465479596e-14[/C][C]4.64829732739798e-14[/C][/ROW]
[ROW][C]208[/C][C]0.999999999999894[/C][C]2.12549808045372e-13[/C][C]1.06274904022686e-13[/C][/ROW]
[ROW][C]209[/C][C]0.999999999999785[/C][C]4.29340928937332e-13[/C][C]2.14670464468666e-13[/C][/ROW]
[ROW][C]210[/C][C]0.999999999999708[/C][C]5.84172835626713e-13[/C][C]2.92086417813357e-13[/C][/ROW]
[ROW][C]211[/C][C]0.999999999999337[/C][C]1.32579562570101e-12[/C][C]6.62897812850503e-13[/C][/ROW]
[ROW][C]212[/C][C]0.999999999998516[/C][C]2.96872461138263e-12[/C][C]1.48436230569131e-12[/C][/ROW]
[ROW][C]213[/C][C]0.999999999996754[/C][C]6.49114325186248e-12[/C][C]3.24557162593124e-12[/C][/ROW]
[ROW][C]214[/C][C]0.999999999994811[/C][C]1.03779195403804e-11[/C][C]5.18895977019022e-12[/C][/ROW]
[ROW][C]215[/C][C]0.999999999990069[/C][C]1.98623295171749e-11[/C][C]9.93116475858743e-12[/C][/ROW]
[ROW][C]216[/C][C]0.999999999985239[/C][C]2.95211927794448e-11[/C][C]1.47605963897224e-11[/C][/ROW]
[ROW][C]217[/C][C]0.999999999974184[/C][C]5.16314213146684e-11[/C][C]2.58157106573342e-11[/C][/ROW]
[ROW][C]218[/C][C]0.999999999947959[/C][C]1.04082563245632e-10[/C][C]5.20412816228158e-11[/C][/ROW]
[ROW][C]219[/C][C]0.999999999890713[/C][C]2.18573768695689e-10[/C][C]1.09286884347844e-10[/C][/ROW]
[ROW][C]220[/C][C]0.999999999769539[/C][C]4.60922948782761e-10[/C][C]2.30461474391381e-10[/C][/ROW]
[ROW][C]221[/C][C]0.999999999516218[/C][C]9.67563154369312e-10[/C][C]4.83781577184656e-10[/C][/ROW]
[ROW][C]222[/C][C]0.999999999235295[/C][C]1.5294104366347e-09[/C][C]7.64705218317349e-10[/C][/ROW]
[ROW][C]223[/C][C]0.999999998475948[/C][C]3.0481034916578e-09[/C][C]1.5240517458289e-09[/C][/ROW]
[ROW][C]224[/C][C]0.99999999741446[/C][C]5.17107962553945e-09[/C][C]2.58553981276973e-09[/C][/ROW]
[ROW][C]225[/C][C]0.999999996214717[/C][C]7.57056619800344e-09[/C][C]3.78528309900172e-09[/C][/ROW]
[ROW][C]226[/C][C]0.999999993061435[/C][C]1.38771295439852e-08[/C][C]6.93856477199259e-09[/C][/ROW]
[ROW][C]227[/C][C]0.999999986299392[/C][C]2.74012154002919e-08[/C][C]1.3700607700146e-08[/C][/ROW]
[ROW][C]228[/C][C]0.999999980311216[/C][C]3.93775681815219e-08[/C][C]1.9688784090761e-08[/C][/ROW]
[ROW][C]229[/C][C]0.99999999948303[/C][C]1.03393930768075e-09[/C][C]5.16969653840376e-10[/C][/ROW]
[ROW][C]230[/C][C]0.999999999142044[/C][C]1.71591187735918e-09[/C][C]8.5795593867959e-10[/C][/ROW]
[ROW][C]231[/C][C]0.99999999830032[/C][C]3.39935935889417e-09[/C][C]1.69967967944709e-09[/C][/ROW]
[ROW][C]232[/C][C]0.999999996296245[/C][C]7.4075106046757e-09[/C][C]3.70375530233785e-09[/C][/ROW]
[ROW][C]233[/C][C]0.999999993117721[/C][C]1.37645579002575e-08[/C][C]6.88227895012877e-09[/C][/ROW]
[ROW][C]234[/C][C]0.999999992866118[/C][C]1.42677633285231e-08[/C][C]7.13388166426154e-09[/C][/ROW]
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[ROW][C]236[/C][C]0.999999977697191[/C][C]4.46056172861904e-08[/C][C]2.23028086430952e-08[/C][/ROW]
[ROW][C]237[/C][C]0.999999978334723[/C][C]4.33305537494346e-08[/C][C]2.16652768747173e-08[/C][/ROW]
[ROW][C]238[/C][C]0.999999964500414[/C][C]7.09991712002508e-08[/C][C]3.54995856001254e-08[/C][/ROW]
[ROW][C]239[/C][C]0.99999992938671[/C][C]1.412265797071e-07[/C][C]7.06132898535502e-08[/C][/ROW]
[ROW][C]240[/C][C]0.999999880373637[/C][C]2.39252725982962e-07[/C][C]1.19626362991481e-07[/C][/ROW]
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[ROW][C]242[/C][C]0.99999967157586[/C][C]6.56848279708157e-07[/C][C]3.28424139854078e-07[/C][/ROW]
[ROW][C]243[/C][C]0.999999509550642[/C][C]9.80898716595604e-07[/C][C]4.90449358297802e-07[/C][/ROW]
[ROW][C]244[/C][C]0.999999390955238[/C][C]1.21808952357888e-06[/C][C]6.0904476178944e-07[/C][/ROW]
[ROW][C]245[/C][C]0.999999070286032[/C][C]1.85942793602912e-06[/C][C]9.2971396801456e-07[/C][/ROW]
[ROW][C]246[/C][C]0.999998803194187[/C][C]2.39361162578872e-06[/C][C]1.19680581289436e-06[/C][/ROW]
[ROW][C]247[/C][C]0.999997622980715[/C][C]4.75403857011713e-06[/C][C]2.37701928505856e-06[/C][/ROW]
[ROW][C]248[/C][C]0.999996303944502[/C][C]7.39211099596882e-06[/C][C]3.69605549798441e-06[/C][/ROW]
[ROW][C]249[/C][C]0.999993145857035[/C][C]1.37082859301141e-05[/C][C]6.85414296505707e-06[/C][/ROW]
[ROW][C]250[/C][C]0.99998789819981[/C][C]2.42036003802061e-05[/C][C]1.21018001901031e-05[/C][/ROW]
[ROW][C]251[/C][C]0.999979612036387[/C][C]4.07759272250794e-05[/C][C]2.03879636125397e-05[/C][/ROW]
[ROW][C]252[/C][C]0.999960217636712[/C][C]7.95647265752922e-05[/C][C]3.97823632876461e-05[/C][/ROW]
[ROW][C]253[/C][C]0.999925102368577[/C][C]0.000149795262846422[/C][C]7.48976314232109e-05[/C][/ROW]
[ROW][C]254[/C][C]0.999881862819696[/C][C]0.000236274360607405[/C][C]0.000118137180303703[/C][/ROW]
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[ROW][C]256[/C][C]0.999627269042348[/C][C]0.000745461915303129[/C][C]0.000372730957651564[/C][/ROW]
[ROW][C]257[/C][C]0.999628877082197[/C][C]0.000742245835606795[/C][C]0.000371122917803398[/C][/ROW]
[ROW][C]258[/C][C]0.999336597349056[/C][C]0.00132680530188719[/C][C]0.000663402650943594[/C][/ROW]
[ROW][C]259[/C][C]0.99886433553357[/C][C]0.00227132893285958[/C][C]0.00113566446642979[/C][/ROW]
[ROW][C]260[/C][C]0.998359145368004[/C][C]0.00328170926399195[/C][C]0.00164085463199598[/C][/ROW]
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[ROW][C]262[/C][C]0.996586731298666[/C][C]0.00682653740266709[/C][C]0.00341326870133354[/C][/ROW]
[ROW][C]263[/C][C]0.995463370682782[/C][C]0.00907325863443546[/C][C]0.00453662931721773[/C][/ROW]
[ROW][C]264[/C][C]0.992919630507617[/C][C]0.0141607389847657[/C][C]0.00708036949238283[/C][/ROW]
[ROW][C]265[/C][C]0.990173771895987[/C][C]0.0196524562080267[/C][C]0.00982622810401337[/C][/ROW]
[ROW][C]266[/C][C]0.986056980210484[/C][C]0.0278860395790315[/C][C]0.0139430197895158[/C][/ROW]
[ROW][C]267[/C][C]0.98698860415874[/C][C]0.0260227916825192[/C][C]0.0130113958412596[/C][/ROW]
[ROW][C]268[/C][C]0.978651720535868[/C][C]0.0426965589282633[/C][C]0.0213482794641317[/C][/ROW]
[ROW][C]269[/C][C]0.964082725363188[/C][C]0.0718345492736235[/C][C]0.0359172746368117[/C][/ROW]
[ROW][C]270[/C][C]0.996950058620816[/C][C]0.00609988275836764[/C][C]0.00304994137918382[/C][/ROW]
[ROW][C]271[/C][C]0.995043834983333[/C][C]0.00991233003333327[/C][C]0.00495616501666664[/C][/ROW]
[ROW][C]272[/C][C]0.991846079590528[/C][C]0.0163078408189439[/C][C]0.00815392040947196[/C][/ROW]
[ROW][C]273[/C][C]0.9903282497797[/C][C]0.0193435004405994[/C][C]0.00967175022029968[/C][/ROW]
[ROW][C]274[/C][C]0.97884029501055[/C][C]0.0423194099789004[/C][C]0.0211597049894502[/C][/ROW]
[ROW][C]275[/C][C]0.979767079959287[/C][C]0.0404658400814265[/C][C]0.0202329200407132[/C][/ROW]
[ROW][C]276[/C][C]0.972309888467029[/C][C]0.0553802230659426[/C][C]0.0276901115329713[/C][/ROW]
[ROW][C]277[/C][C]0.94731908858826[/C][C]0.10536182282348[/C][C]0.0526809114117399[/C][/ROW]
[ROW][C]278[/C][C]0.890179141675722[/C][C]0.219641716648556[/C][C]0.109820858324278[/C][/ROW]
[ROW][C]279[/C][C]0.770671344831667[/C][C]0.458657310336666[/C][C]0.229328655168333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197161&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197161&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
100.4706476798436980.9412953596873960.529352320156302
110.4007505748999790.8015011497999570.599249425100021
120.3431048986746480.6862097973492960.656895101325352
130.2377719881309020.4755439762618040.762228011869098
140.6415957342778230.7168085314443540.358404265722177
150.7290183933009860.5419632133980270.270981606699014
160.6516008144796110.6967983710407780.348399185520389
170.568673403247180.8626531935056410.43132659675282
180.5360215709192020.9279568581615970.463978429080798
190.4752526545906580.9505053091813160.524747345409342
200.4037720406455690.8075440812911370.596227959354431
210.3340949739040890.6681899478081780.665905026095911
220.268613251544190.537226503088380.73138674845581
230.2209130732506660.4418261465013330.779086926749334
240.1864323969402130.3728647938804260.813567603059787
250.253825374905240.507650749810480.74617462509476
260.1996251166951260.3992502333902530.800374883304874
270.1589694227461560.3179388454923110.841030577253844
280.1206820334933010.2413640669866020.879317966506699
290.08969091799441240.1793818359888250.910309082005588
300.07180967816579130.1436193563315830.928190321834209
310.05436638000226440.1087327600045290.945633619997736
320.04211346450314980.08422692900629970.95788653549685
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480.0009834820607780840.001966964121556170.999016517939222
490.0006270755439450030.001254151087890010.999372924456055
5011.36173458525539e-166.80867292627696e-17
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5711.53190803064265e-167.65954015321327e-17
5816.1456803048728e-173.0728401524364e-17
5911.32414715066982e-166.62073575334911e-17
6012.84232295974783e-161.42116147987392e-16
6114.9717621413202e-162.4858810706601e-16
620.9999999999999991.06991149147006e-155.3495574573503e-16
630.9999999999999992.02840242930519e-151.01420121465259e-15
640.9999999999999984.05138893153001e-152.025694465765e-15
650.9999999999999984.91897952167217e-152.45948976083608e-15
660.9999999999999983.00596740768326e-151.50298370384163e-15
670.9999999999999984.6093931033194e-152.3046965516597e-15
680.9999999999999968.82472869147679e-154.4123643457384e-15
690.9999999999999992.9236991734675e-151.46184958673375e-15
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710.9999999999999991.05362286921188e-155.26811434605942e-16
720.9999999999999991.11984512726932e-155.59922563634662e-16
730.9999999999999991.98742835897669e-159.93714179488345e-16
740.9999999999999983.86625820250501e-151.93312910125251e-15
750.9999999999999967.75718083501845e-153.87859041750922e-15
760.9999999999999941.11283943427872e-145.56419717139362e-15
770.9999999999999983.02049478619819e-151.51024739309909e-15
780.9999999999999984.6030640534126e-152.3015320267063e-15
790.9999999999999967.36390558491366e-153.68195279245683e-15
800.9999999999999968.19058050905409e-154.09529025452705e-15
810.9999999999999921.61934803312315e-148.09674016561574e-15
820.9999999999999872.59093096547218e-141.29546548273609e-14
830.9999999999999764.79772785118336e-142.39886392559168e-14
840.9999999999999549.14416950380173e-144.57208475190087e-14
850.9999999999999131.74331271070311e-138.71656355351553e-14
860.9999999999998582.83405072482026e-131.41702536241013e-13
870.9999999999997564.88129392641055e-132.44064696320528e-13
880.99999999999967.9958008268057e-133.99790041340285e-13
890.9999999999994051.18909622943881e-125.94548114719407e-13
900.999999999999231.5398563564872e-127.69928178243602e-13
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9214.14699619670175e-292.07349809835087e-29
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10111.9800885231632e-279.900442615816e-28
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10811.40738548065558e-257.03692740327789e-26
10912.29668322994236e-251.14834161497118e-25
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11811.56535549271746e-227.8267774635873e-23
11912.08611108297181e-221.0430555414859e-22
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12111.33151926127681e-256.65759630638407e-26
12217.18357269183166e-263.59178634591583e-26
12311.03835863053623e-255.19179315268115e-26
12411.12653293568651e-255.63266467843254e-26
12512.73988765401122e-251.36994382700561e-25
12616.57673267824797e-253.28836633912399e-25
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13519.75595451992544e-244.87797725996272e-24
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15713.7025092183037e-201.85125460915185e-20
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16612.5891956468539e-181.29459782342695e-18
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16814.10676826399633e-182.05338413199817e-18
16919.09790253542749e-184.54895126771375e-18
17011.8649821258733e-179.32491062936648e-18
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17311.26272088562001e-166.31360442810006e-17
17412.72550157516811e-161.36275078758406e-16
17513.3025029780716e-161.6512514890358e-16
17616.62393092617589e-163.31196546308794e-16
17716.35115195181486e-163.17557597590743e-16
1780.9999999999999991.04683033496188e-155.23415167480938e-16
1790.9999999999999991.35022840233292e-156.7511420116646e-16
1800.9999999999999991.26060608821273e-156.30303044106363e-16
1810.9999999999999992.73600966628932e-151.36800483314466e-15
1820.9999999999999975.19289084569671e-152.59644542284835e-15
1830.9999999999999941.13139829792141e-145.65699148960704e-15
1840.9999999999999959.18740912294172e-154.59370456147086e-15
1850.9999999999999931.35353420996956e-146.76767104984782e-15
1860.9999999999999852.93745586366514e-141.46872793183257e-14
1870.9999999999999853.03476782670436e-141.51738391335218e-14
1880.9999999999999676.53889520658113e-143.26944760329057e-14
1890.9999999999999381.23001004958475e-136.15005024792377e-14
1900.9999999999999813.85979082453007e-141.92989541226504e-14
1910.9999999999999931.48570135132832e-147.42850675664158e-15
1920.9999999999999872.69526986974333e-141.34763493487167e-14
1930.9999999999999715.76271277607931e-142.88135638803965e-14
1940.9999999999999872.58137139882446e-141.29068569941223e-14
1950.9999999999999813.74990927274132e-141.87495463637066e-14
1960.9999999999999627.5408640324385e-143.77043201621925e-14
1970.9999999999999461.08539751256613e-135.42698756283065e-14
1980.9999999999998942.12520979725091e-131.06260489862545e-13
1990.9999999999997864.28691138769004e-132.14345569384502e-13
2000.9999999999995958.09289283277734e-134.04644641638867e-13
2010.9999999999991331.73364463194033e-128.66822315970166e-13
2020.9999999999999992.64614515167667e-151.32307257583833e-15
2030.9999999999999984.97779819885692e-152.48889909942846e-15
2040.9999999999999959.26868862159428e-154.63434431079714e-15
2050.9999999999999911.87821639294998e-149.3910819647499e-15
2060.9999999999999794.13762680383332e-142.06881340191666e-14
2070.9999999999999539.29659465479596e-144.64829732739798e-14
2080.9999999999998942.12549808045372e-131.06274904022686e-13
2090.9999999999997854.29340928937332e-132.14670464468666e-13
2100.9999999999997085.84172835626713e-132.92086417813357e-13
2110.9999999999993371.32579562570101e-126.62897812850503e-13
2120.9999999999985162.96872461138263e-121.48436230569131e-12
2130.9999999999967546.49114325186248e-123.24557162593124e-12
2140.9999999999948111.03779195403804e-115.18895977019022e-12
2150.9999999999900691.98623295171749e-119.93116475858743e-12
2160.9999999999852392.95211927794448e-111.47605963897224e-11
2170.9999999999741845.16314213146684e-112.58157106573342e-11
2180.9999999999479591.04082563245632e-105.20412816228158e-11
2190.9999999998907132.18573768695689e-101.09286884347844e-10
2200.9999999997695394.60922948782761e-102.30461474391381e-10
2210.9999999995162189.67563154369312e-104.83781577184656e-10
2220.9999999992352951.5294104366347e-097.64705218317349e-10
2230.9999999984759483.0481034916578e-091.5240517458289e-09
2240.999999997414465.17107962553945e-092.58553981276973e-09
2250.9999999962147177.57056619800344e-093.78528309900172e-09
2260.9999999930614351.38771295439852e-086.93856477199259e-09
2270.9999999862993922.74012154002919e-081.3700607700146e-08
2280.9999999803112163.93775681815219e-081.9688784090761e-08
2290.999999999483031.03393930768075e-095.16969653840376e-10
2300.9999999991420441.71591187735918e-098.5795593867959e-10
2310.999999998300323.39935935889417e-091.69967967944709e-09
2320.9999999962962457.4075106046757e-093.70375530233785e-09
2330.9999999931177211.37645579002575e-086.88227895012877e-09
2340.9999999928661181.42677633285231e-087.13388166426154e-09
2350.9999999896074032.07851947761058e-081.03925973880529e-08
2360.9999999776971914.46056172861904e-082.23028086430952e-08
2370.9999999783347234.33305537494346e-082.16652768747173e-08
2380.9999999645004147.09991712002508e-083.54995856001254e-08
2390.999999929386711.412265797071e-077.06132898535502e-08
2400.9999998803736372.39252725982962e-071.19626362991481e-07
2410.9999997829938934.34012213432627e-072.17006106716314e-07
2420.999999671575866.56848279708157e-073.28424139854078e-07
2430.9999995095506429.80898716595604e-074.90449358297802e-07
2440.9999993909552381.21808952357888e-066.0904476178944e-07
2450.9999990702860321.85942793602912e-069.2971396801456e-07
2460.9999988031941872.39361162578872e-061.19680581289436e-06
2470.9999976229807154.75403857011713e-062.37701928505856e-06
2480.9999963039445027.39211099596882e-063.69605549798441e-06
2490.9999931458570351.37082859301141e-056.85414296505707e-06
2500.999987898199812.42036003802061e-051.21018001901031e-05
2510.9999796120363874.07759272250794e-052.03879636125397e-05
2520.9999602176367127.95647265752922e-053.97823632876461e-05
2530.9999251023685770.0001497952628464227.48976314232109e-05
2540.9998818628196960.0002362743606074050.000118137180303703
2550.9997752054289940.0004495891420128860.000224794571006443
2560.9996272690423480.0007454619153031290.000372730957651564
2570.9996288770821970.0007422458356067950.000371122917803398
2580.9993365973490560.001326805301887190.000663402650943594
2590.998864335533570.002271328932859580.00113566446642979
2600.9983591453680040.003281709263991950.00164085463199598
2610.9976106846833870.004778630633225480.00238931531661274
2620.9965867312986660.006826537402667090.00341326870133354
2630.9954633706827820.009073258634435460.00453662931721773
2640.9929196305076170.01416073898476570.00708036949238283
2650.9901737718959870.01965245620802670.00982622810401337
2660.9860569802104840.02788603957903150.0139430197895158
2670.986988604158740.02602279168251920.0130113958412596
2680.9786517205358680.04269655892826330.0213482794641317
2690.9640827253631880.07183454927362350.0359172746368117
2700.9969500586208160.006099882758367640.00304994137918382
2710.9950438349833330.009912330033333270.00495616501666664
2720.9918460795905280.01630784081894390.00815392040947196
2730.99032824977970.01934350044059940.00967175022029968
2740.978840295010550.04231940997890040.0211597049894502
2750.9797670799592870.04046584008142650.0202329200407132
2760.9723098884670290.05538022306594260.0276901115329713
2770.947319088588260.105361822823480.0526809114117399
2780.8901791416757220.2196417166485560.109820858324278
2790.7706713448316670.4586573103366660.229328655168333






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2270.840740740740741NOK
5% type I error level2410.892592592592593NOK
10% type I error level2450.907407407407407NOK

\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 & 227 & 0.840740740740741 & NOK \tabularnewline
5% type I error level & 241 & 0.892592592592593 & NOK \tabularnewline
10% type I error level & 245 & 0.907407407407407 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197161&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]227[/C][C]0.840740740740741[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]241[/C][C]0.892592592592593[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]245[/C][C]0.907407407407407[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197161&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197161&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 level2270.840740740740741NOK
5% type I error level2410.892592592592593NOK
10% type I error level2450.907407407407407NOK


Figures (Output of Computation)

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Figure 10
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Input Parameters & R Code

Parameters (Session):
par1 = 5 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 7 ; 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')
}