FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationThu, 06 Dec 2012 11:03:19 -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/t13548098302vh3mfobtfixyvt.htm/, Retrieved Tue, 23 Apr 2024 20:31:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=197155, Retrieved Tue, 23 Apr 2024 20:31:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact108

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] [195a7509fef65339447329cdcf8835cc] [Current]
-           [Multiple Regression] [] [2012-12-06 16:13:00] [bbed103f50d9b60ea97669d7e6947a11]
Feedback Forum

Post a new message

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 time14 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 14 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197155&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]14 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197155&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197155&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 time14 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Multiple Linear Regression - Estimated Regression Equation
blogged_computations[t] = -12.4839698099011 + 0.00204638257620711logins[t] + 0.0707392341392778compendium_views_info[t] -0.125865990850979compendium_views_pr[t] -1.41697158758253shared_compendiums[t] + 0.115792503395959compendiums_reviewed[t] + 0.433976188717082feedback_messages_p1[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
blogged_computations[t] =  -12.4839698099011 +  0.00204638257620711logins[t] +  0.0707392341392778compendium_views_info[t] -0.125865990850979compendium_views_pr[t] -1.41697158758253shared_compendiums[t] +  0.115792503395959compendiums_reviewed[t] +  0.433976188717082feedback_messages_p1[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197155&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]blogged_computations[t] =  -12.4839698099011 +  0.00204638257620711logins[t] +  0.0707392341392778compendium_views_info[t] -0.125865990850979compendium_views_pr[t] -1.41697158758253shared_compendiums[t] +  0.115792503395959compendiums_reviewed[t] +  0.433976188717082feedback_messages_p1[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197155&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197155&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
blogged_computations[t] = -12.4839698099011 + 0.00204638257620711logins[t] + 0.0707392341392778compendium_views_info[t] -0.125865990850979compendium_views_pr[t] -1.41697158758253shared_compendiums[t] + 0.115792503395959compendiums_reviewed[t] + 0.433976188717082feedback_messages_p1[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-12.48396980990112.864708-4.35791.8e-059e-06
logins0.002046382576207110.0474090.04320.9656010.4828
compendium_views_info0.07073923413927780.00655310.794800
compendium_views_pr-0.1258659908509790.025419-4.95161e-061e-06
shared_compendiums-1.416971587582530.451903-3.13560.0018960.000948
compendiums_reviewed0.1157925033959590.603540.19190.8479930.423997
feedback_messages_p10.4339761887170820.1589252.73070.0067180.003359

\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) & -12.4839698099011 & 2.864708 & -4.3579 & 1.8e-05 & 9e-06 \tabularnewline
logins & 0.00204638257620711 & 0.047409 & 0.0432 & 0.965601 & 0.4828 \tabularnewline
compendium_views_info & 0.0707392341392778 & 0.006553 & 10.7948 & 0 & 0 \tabularnewline
compendium_views_pr & -0.125865990850979 & 0.025419 & -4.9516 & 1e-06 & 1e-06 \tabularnewline
shared_compendiums & -1.41697158758253 & 0.451903 & -3.1356 & 0.001896 & 0.000948 \tabularnewline
compendiums_reviewed & 0.115792503395959 & 0.60354 & 0.1919 & 0.847993 & 0.423997 \tabularnewline
feedback_messages_p1 & 0.433976188717082 & 0.158925 & 2.7307 & 0.006718 & 0.003359 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197155&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]-12.4839698099011[/C][C]2.864708[/C][C]-4.3579[/C][C]1.8e-05[/C][C]9e-06[/C][/ROW]
[ROW][C]logins[/C][C]0.00204638257620711[/C][C]0.047409[/C][C]0.0432[/C][C]0.965601[/C][C]0.4828[/C][/ROW]
[ROW][C]compendium_views_info[/C][C]0.0707392341392778[/C][C]0.006553[/C][C]10.7948[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]compendium_views_pr[/C][C]-0.125865990850979[/C][C]0.025419[/C][C]-4.9516[/C][C]1e-06[/C][C]1e-06[/C][/ROW]
[ROW][C]shared_compendiums[/C][C]-1.41697158758253[/C][C]0.451903[/C][C]-3.1356[/C][C]0.001896[/C][C]0.000948[/C][/ROW]
[ROW][C]compendiums_reviewed[/C][C]0.115792503395959[/C][C]0.60354[/C][C]0.1919[/C][C]0.847993[/C][C]0.423997[/C][/ROW]
[ROW][C]feedback_messages_p1[/C][C]0.433976188717082[/C][C]0.158925[/C][C]2.7307[/C][C]0.006718[/C][C]0.003359[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197155&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197155&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)-12.48396980990112.864708-4.35791.8e-059e-06
logins0.002046382576207110.0474090.04320.9656010.4828
compendium_views_info0.07073923413927780.00655310.794800
compendium_views_pr-0.1258659908509790.025419-4.95161e-061e-06
shared_compendiums-1.416971587582530.451903-3.13560.0018960.000948
compendiums_reviewed0.1157925033959590.603540.19190.8479930.423997
feedback_messages_p10.4339761887170820.1589252.73070.0067180.003359






Multiple Linear Regression - Regression Statistics
Multiple R0.857492147150942
R-squared0.735292782425533
Adjusted R-squared0.729660713966502
F-TEST (value)130.554659939629
F-TEST (DF numerator)6
F-TEST (DF denominator)282
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation19.1856571486169
Sum Squared Residuals103801.222143246

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.857492147150942 \tabularnewline
R-squared & 0.735292782425533 \tabularnewline
Adjusted R-squared & 0.729660713966502 \tabularnewline
F-TEST (value) & 130.554659939629 \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 & 19.1856571486169 \tabularnewline
Sum Squared Residuals & 103801.222143246 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197155&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.857492147150942[/C][/ROW]
[ROW][C]R-squared[/C][C]0.735292782425533[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.729660713966502[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]130.554659939629[/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]19.1856571486169[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]103801.222143246[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197155&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197155&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 R0.857492147150942
R-squared0.735292782425533
Adjusted R-squared0.729660713966502
F-TEST (value)130.554659939629
F-TEST (DF numerator)6
F-TEST (DF denominator)282
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation19.1856571486169
Sum Squared Residuals103801.222143246






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
17954.578341116186824.4216588838132
25846.595258971846811.4047410281532
36071.6334468212715-11.6334468212715
410891.350818613585716.6491813864143
54932.303683396603116.6963166033969
6035.6171439609072-35.6171439609072
7121134.825950390789-13.825950390789
8120.8860077053805-19.8860077053805
92023.1816708040929-3.18167080409295
104365.0272192447441-22.0272192447441
116959.81154611736649.18845388263356
127889.8648229141927-11.8648229141927
138681.63853854325144.36146145674858
144454.7402643024524-10.7402643024524
1510499.87030376781124.12969623218886
166365.8784204971549-2.87842049715488
17158159.811124136334-1.81112413633384
1810273.651788796013928.3482112039861
197789.188928667028-12.188928667028
208251.659957497324330.3400425026757
2111576.784320927626238.2156790723738
2210184.893797371244716.1062026287553
238093.8931480419958-13.8931480419958
245043.12311595769816.87688404230194
258372.605063906931610.3949360930684
2612398.966362260736224.0336377392638
277391.2519954435598-18.2519954435598
288188.3633765679183-7.3633765679183
2910575.477787909062529.5222120909375
304759.3590332200471-12.3590332200471
3110580.202309747413224.7976902525868
329486.60397538595587.39602461404421
334482.3279106969466-38.3279106969466
34114101.00813985627812.9918601437217
353848.9462462412272-10.9462462412272
36107106.5230138583940.47698614160638
373023.33310365538366.66689634461639
387193.0065828892537-22.0065828892537
3984109.135152826962-25.1351528269617
400-7.623300907207147.62330090720714
415963.3674649899013-4.36746498990126
423322.108938977312610.8910610226874
434232.41986396662479.58013603337527
4496103.417494766273-7.4174947662732
45106112.730701157586-6.73070115758583
465668.5361671909949-12.5361671909949
475775.6739803367268-18.6739803367268
485954.20693208137344.79306791862663
493947.9017068411211-8.90170684112114
503471.7171923415978-37.7171923415978
517668.77403960586927.22596039413078
522039.534273433686-19.534273433686
539187.92404921082933.07595078917073
54115115.529768075874-0.529768075874137
558585.6716736533677-0.67167365336774
567670.04889392755335.95110607244669
5786.139860875459641.86013912454036
587988.8270389163672-9.82703891636721
592127.0219493587988-6.02194935879878
603030.8889337127238-0.888933712723795
617683.5735570573734-7.57355705737338
6210190.00240874360710.997591256393
639489.94131304403324.05868695596678
642732.5813187732752-5.58131877327516
659267.970916714552824.0290832854472
6612396.300027302017426.6999726979826
677559.557593382265315.4424066177347
68128113.119434799514.8805652004997
6910564.655698686144540.3443013138555
705594.4719390599394-39.4719390599394
715678.9206234113342-22.9206234113342
724165.6166055973643-24.6166055973643
737253.526323462764118.4736765372359
746756.872480089403810.1275199105962
757580.3374009534081-5.33740095340806
7611474.863655191559339.1363448084407
7711846.477014395005471.5229856049946
787782.321571734461-5.32157173446099
792242.2586485926864-20.2586485926864
806684.1453527395464-18.1453527395464
816967.24579258921411.75420741078594
8210575.541697488930129.4583025110699
8311689.518931480874326.4810685191257
848882.44667298090215.55332701909786
857364.62325282797748.37674717202261
869964.704792624168934.2952073758311
876274.448147411369-12.448147411369
885357.918538712-4.91853871199998
89118113.2922586014894.707741398511
903066.1829966659012-36.1829966659012
9110053.628413197890846.3715868021092
924927.65606266823421.343937331766
932459.3502994272364-35.3502994272364
946745.163362548474821.8366374515252
954636.77807905948069.22192094051942
965787.0193117156023-30.0193117156023
9775102.152999920533-27.1529999205329
98135107.84969412414527.150305875855
996882.1235988514161-14.1235988514161
10012470.734139585918253.2658604140818
1013346.074494294944-13.074494294944
1029897.81993545064910.180064549350917
1035875.6961607167304-17.6961607167304
1046862.40217974035615.59782025964385
1058156.386354790960624.6136452090394
10613180.241557452339350.7584425476607
107110117.430879401352-7.43087940135228
1083739.7603783214044-2.76037832140442
10913090.344398776197739.6556012238023
1109391.37932526466371.62067473533627
11111886.8272424531331.17275754687
1123969.3077741979579-30.3077741979579
1131324.615118658485-11.615118658485
1147450.650951270178523.3490487298215
1158175.02785961120965.97214038879039
11610995.329278609499213.6707213905008
11715197.329420808674353.6705791913257
1185157.2994074854162-6.29940748541622
1192845.0575092830623-17.0575092830623
1204026.916643149237813.0833568507622
1215649.6452132168896.35478678311097
1222731.4724121125988-4.47241211259885
1233736.87294048067960.127059519320393
1248363.138158202467819.8618417975322
1255463.2932869585206-9.29328695852059
1262713.048293151322913.9517068486771
1272824.444046919263.55595308074003
1285941.127100623451217.8728993765488
12913394.265386527458438.7346134725416
13012-2.5866653409531414.5866653409531
13108.08098396888555-8.08098396888555
13210679.886044888493326.1139551115067
133237.4955421639429615.504457836057
1344462.6810652240904-18.6810652240904
1357167.65404778219923.34595221780078
136116102.93968495993713.0603150400626
1374-2.375031486049226.37503148604922
1386264.8121735529331-2.81217355293308
1391213.4632008473445-1.46320084734449
1401810.70945123327557.29054876672446
1411426.6574222378418-12.6574222378418
1426048.594328990801711.4056710091983
143734.5424184238595-27.5424184238595
1449892.57861240038115.42138759961893
1456478.2946157371065-14.2946157371065
1462933.6522610104324-4.65226101043236
1473258.5385926789956-26.5385926789956
1482549.5066870730565-24.5066870730565
1491613.20830141840852.79169858159146
1504869.6762888423616-21.6762888423616
151100108.619182643985-8.61918264398527
1524685.1801214243346-39.1801214243346
1534540.59611293473214.40388706526791
154129130.192326928476-1.19232692847632
15513091.631728276836638.3682717231634
156136122.9258431345913.0741568654095
1575966.0691633690883-7.06916336908832
1582520.78523810191124.21476189808875
1593255.3057688789322-23.3057688789322
1606372.7709731046319-9.77097310463188
16195124.321750756281-29.3217507562809
1621440.0627460810544-26.0627460810544
1633638.4802571831139-2.48025718311393
164113134.111775998997-21.1117759989974
1654766.6601938086381-19.6601938086381
1669272.838235465110719.1617645348893
1677063.30637294803036.69362705196973
1681960.0571226069434-41.0571226069434
1695033.117117160416316.8828828395837
1704159.3293755941248-18.3293755941248
17191115.115934453768-24.1159344537681
17211173.770600243582237.2293997564178
1734166.1020489918536-25.1020489918536
17412089.67740836759530.322591632405
17513572.790330850904662.2096691490954
1762749.9967825748416-22.9967825748416
1778794.8565291873278-7.85652918732781
1782535.8695431045014-10.8695431045014
17913190.024766933030840.9752330669692
1804525.058722070953819.9412779290462
1812917.970134454761511.0298655452385
1825843.50970641694114.490293583059
1834-6.4506710823004510.4506710823004
1844769.8918501497318-22.8918501497318
185109101.2239821382537.77601786174699
1867-7.2390345707135314.2390345707135
1871212.0859628954751-0.0859628954751252
1880-6.118631455698586.11863145569858
1893746.8486112660491-9.84861126604912
1903747.5583818536756-10.5583818536756
1914650.8999183834152-4.89991838341516
1921546.8890056920823-31.8890056920823
1934216.639271832828925.3607281671711
19475.85875339525581.1412466047442
1955457.7776209623292-3.77762096232918
1965430.049848670572423.9501513294276
1971444.2032551336135-30.2032551336135
1981621.2525539709382-5.25255397093819
1993350.8527922049886-17.8527922049886
2003227.18487398294654.8151260170535
2012124.4434301010007-3.44343010100072
2021526.5640750629364-11.5640750629364
2033838.5017807310503-0.501780731050254
2042233.8903178511726-11.8903178511726
2052841.8543039918151-13.8543039918151
2061031.2012719546362-21.2012719546362
2073130.37295142840020.627048571599811
2083250.347202637394-18.347202637394
2093242.2179494451849-10.2179494451849
2104354.1177690904243-11.1177690904243
2112715.699748992338911.3002510076611
2123735.65541853111661.3445814688834
2132025.146363313311-5.14636331331101
2143231.41973613110540.580263868894636
215042.2069178582716-42.2069178582716
216533.9284115221579-28.9284115221579
2172631.4700684154439-5.47006841544393
218107.313957640514022.68604235948598
2192723.13202039368333.86797960631672
2201126.4601310647158-15.4601310647158
2212943.1611576666327-14.1611576666328
2222538.5949359105765-13.5949359105765
2235543.779334807359111.2206651926409
2242328.2559653842646-5.25596538426457
225521.1969720318272-16.1969720318272
2264331.898547629700311.1014523702997
227238.2320485106391814.7679514893608
2283433.75839601553450.241603984465532
2293620.375792225202815.6242077747972
2303550.0339511102529-15.0339511102529
231022.7411286576581-22.7411286576581
2323726.664819603252610.3351803967474
2332843.7843137554203-15.7843137554203
2341622.4731048191579-6.47310481915793
2352638.0836878626993-12.0836878626993
2363826.178180992127511.8218190078725
2372346.977498867287-23.977498867287
2382228.1238651646233-6.12386516462329
2393031.5638537875263-1.56385378752626
2401626.8449795103839-10.8449795103839
2411831.0748202511126-13.0748202511126
2422843.5232722589338-15.5232722589338
2433223.29615036883088.70384963116924
2442121.8411405876348-0.841140587634836
2452325.0612226562738-2.06122265627383
2462939.5447248768635-10.5447248768635
2475037.84202035690912.157979643091
2481226.2372023060994-14.2372023060994
2492122.2053115105535-1.20531151055348
2501812.96226333845835.03773666154173
2512748.1254716149915-21.1254716149915
2524135.56133931326545.43866068673459
25313-8.6261758961658121.6261758961658
2541236.0623361485777-24.0623361485777
2552143.7959418202269-22.7959418202269
25685.860648071668522.13935192833148
2572611.946378430445914.0536215695541
2582729.4567896062754-2.45678960627538
2591318.429992609493-5.42999260949303
260168.969957629229377.03004237077063
261221.3354527949349-19.3354527949349
2624220.942144193177221.0578558068228
26354.639348111087340.360651888912655
2643722.973765771636314.0262342283637
2651723.2628653432836-6.26286534328356
2663828.46069744327679.5393025567233
2673733.2831622224223.71683777757804
2682916.68920931240312.310790687597
2693226.76775863190285.23224136809718
2703534.87682368731140.123176312688561
2711739.6116712320606-22.6116712320606
2722027.8065392982011-7.80653929820109
27371.698931473651425.30106852634858
2744631.214757890589714.7852421094103
2752415.97323689007958.02676310992046
2764028.239429496449311.7605705035507
277312.8449705001089-9.84497050010895
27810-7.2590015557633717.2590015557634
2793728.80627567161318.19372432838687
2801730.9668293767392-13.9668293767392
2812835.4572153692729-7.45721536927292
2821925.3237007892029-6.32370078920286
2832928.82472911142280.175270888577219
28481.336473537913186.66352646208682
2851028.2012721402467-18.2012721402467
2861528.0796936350788-13.0796936350788
2871518.5183413428722-3.51834134287216
2882822.02338208359835.97661791640173
2891734.9069401127737-17.9069401127737

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 79 & 54.5783411161868 & 24.4216588838132 \tabularnewline
2 & 58 & 46.5952589718468 & 11.4047410281532 \tabularnewline
3 & 60 & 71.6334468212715 & -11.6334468212715 \tabularnewline
4 & 108 & 91.3508186135857 & 16.6491813864143 \tabularnewline
5 & 49 & 32.3036833966031 & 16.6963166033969 \tabularnewline
6 & 0 & 35.6171439609072 & -35.6171439609072 \tabularnewline
7 & 121 & 134.825950390789 & -13.825950390789 \tabularnewline
8 & 1 & 20.8860077053805 & -19.8860077053805 \tabularnewline
9 & 20 & 23.1816708040929 & -3.18167080409295 \tabularnewline
10 & 43 & 65.0272192447441 & -22.0272192447441 \tabularnewline
11 & 69 & 59.8115461173664 & 9.18845388263356 \tabularnewline
12 & 78 & 89.8648229141927 & -11.8648229141927 \tabularnewline
13 & 86 & 81.6385385432514 & 4.36146145674858 \tabularnewline
14 & 44 & 54.7402643024524 & -10.7402643024524 \tabularnewline
15 & 104 & 99.8703037678112 & 4.12969623218886 \tabularnewline
16 & 63 & 65.8784204971549 & -2.87842049715488 \tabularnewline
17 & 158 & 159.811124136334 & -1.81112413633384 \tabularnewline
18 & 102 & 73.6517887960139 & 28.3482112039861 \tabularnewline
19 & 77 & 89.188928667028 & -12.188928667028 \tabularnewline
20 & 82 & 51.6599574973243 & 30.3400425026757 \tabularnewline
21 & 115 & 76.7843209276262 & 38.2156790723738 \tabularnewline
22 & 101 & 84.8937973712447 & 16.1062026287553 \tabularnewline
23 & 80 & 93.8931480419958 & -13.8931480419958 \tabularnewline
24 & 50 & 43.1231159576981 & 6.87688404230194 \tabularnewline
25 & 83 & 72.6050639069316 & 10.3949360930684 \tabularnewline
26 & 123 & 98.9663622607362 & 24.0336377392638 \tabularnewline
27 & 73 & 91.2519954435598 & -18.2519954435598 \tabularnewline
28 & 81 & 88.3633765679183 & -7.3633765679183 \tabularnewline
29 & 105 & 75.4777879090625 & 29.5222120909375 \tabularnewline
30 & 47 & 59.3590332200471 & -12.3590332200471 \tabularnewline
31 & 105 & 80.2023097474132 & 24.7976902525868 \tabularnewline
32 & 94 & 86.6039753859558 & 7.39602461404421 \tabularnewline
33 & 44 & 82.3279106969466 & -38.3279106969466 \tabularnewline
34 & 114 & 101.008139856278 & 12.9918601437217 \tabularnewline
35 & 38 & 48.9462462412272 & -10.9462462412272 \tabularnewline
36 & 107 & 106.523013858394 & 0.47698614160638 \tabularnewline
37 & 30 & 23.3331036553836 & 6.66689634461639 \tabularnewline
38 & 71 & 93.0065828892537 & -22.0065828892537 \tabularnewline
39 & 84 & 109.135152826962 & -25.1351528269617 \tabularnewline
40 & 0 & -7.62330090720714 & 7.62330090720714 \tabularnewline
41 & 59 & 63.3674649899013 & -4.36746498990126 \tabularnewline
42 & 33 & 22.1089389773126 & 10.8910610226874 \tabularnewline
43 & 42 & 32.4198639666247 & 9.58013603337527 \tabularnewline
44 & 96 & 103.417494766273 & -7.4174947662732 \tabularnewline
45 & 106 & 112.730701157586 & -6.73070115758583 \tabularnewline
46 & 56 & 68.5361671909949 & -12.5361671909949 \tabularnewline
47 & 57 & 75.6739803367268 & -18.6739803367268 \tabularnewline
48 & 59 & 54.2069320813734 & 4.79306791862663 \tabularnewline
49 & 39 & 47.9017068411211 & -8.90170684112114 \tabularnewline
50 & 34 & 71.7171923415978 & -37.7171923415978 \tabularnewline
51 & 76 & 68.7740396058692 & 7.22596039413078 \tabularnewline
52 & 20 & 39.534273433686 & -19.534273433686 \tabularnewline
53 & 91 & 87.9240492108293 & 3.07595078917073 \tabularnewline
54 & 115 & 115.529768075874 & -0.529768075874137 \tabularnewline
55 & 85 & 85.6716736533677 & -0.67167365336774 \tabularnewline
56 & 76 & 70.0488939275533 & 5.95110607244669 \tabularnewline
57 & 8 & 6.13986087545964 & 1.86013912454036 \tabularnewline
58 & 79 & 88.8270389163672 & -9.82703891636721 \tabularnewline
59 & 21 & 27.0219493587988 & -6.02194935879878 \tabularnewline
60 & 30 & 30.8889337127238 & -0.888933712723795 \tabularnewline
61 & 76 & 83.5735570573734 & -7.57355705737338 \tabularnewline
62 & 101 & 90.002408743607 & 10.997591256393 \tabularnewline
63 & 94 & 89.9413130440332 & 4.05868695596678 \tabularnewline
64 & 27 & 32.5813187732752 & -5.58131877327516 \tabularnewline
65 & 92 & 67.9709167145528 & 24.0290832854472 \tabularnewline
66 & 123 & 96.3000273020174 & 26.6999726979826 \tabularnewline
67 & 75 & 59.5575933822653 & 15.4424066177347 \tabularnewline
68 & 128 & 113.1194347995 & 14.8805652004997 \tabularnewline
69 & 105 & 64.6556986861445 & 40.3443013138555 \tabularnewline
70 & 55 & 94.4719390599394 & -39.4719390599394 \tabularnewline
71 & 56 & 78.9206234113342 & -22.9206234113342 \tabularnewline
72 & 41 & 65.6166055973643 & -24.6166055973643 \tabularnewline
73 & 72 & 53.5263234627641 & 18.4736765372359 \tabularnewline
74 & 67 & 56.8724800894038 & 10.1275199105962 \tabularnewline
75 & 75 & 80.3374009534081 & -5.33740095340806 \tabularnewline
76 & 114 & 74.8636551915593 & 39.1363448084407 \tabularnewline
77 & 118 & 46.4770143950054 & 71.5229856049946 \tabularnewline
78 & 77 & 82.321571734461 & -5.32157173446099 \tabularnewline
79 & 22 & 42.2586485926864 & -20.2586485926864 \tabularnewline
80 & 66 & 84.1453527395464 & -18.1453527395464 \tabularnewline
81 & 69 & 67.2457925892141 & 1.75420741078594 \tabularnewline
82 & 105 & 75.5416974889301 & 29.4583025110699 \tabularnewline
83 & 116 & 89.5189314808743 & 26.4810685191257 \tabularnewline
84 & 88 & 82.4466729809021 & 5.55332701909786 \tabularnewline
85 & 73 & 64.6232528279774 & 8.37674717202261 \tabularnewline
86 & 99 & 64.7047926241689 & 34.2952073758311 \tabularnewline
87 & 62 & 74.448147411369 & -12.448147411369 \tabularnewline
88 & 53 & 57.918538712 & -4.91853871199998 \tabularnewline
89 & 118 & 113.292258601489 & 4.707741398511 \tabularnewline
90 & 30 & 66.1829966659012 & -36.1829966659012 \tabularnewline
91 & 100 & 53.6284131978908 & 46.3715868021092 \tabularnewline
92 & 49 & 27.656062668234 & 21.343937331766 \tabularnewline
93 & 24 & 59.3502994272364 & -35.3502994272364 \tabularnewline
94 & 67 & 45.1633625484748 & 21.8366374515252 \tabularnewline
95 & 46 & 36.7780790594806 & 9.22192094051942 \tabularnewline
96 & 57 & 87.0193117156023 & -30.0193117156023 \tabularnewline
97 & 75 & 102.152999920533 & -27.1529999205329 \tabularnewline
98 & 135 & 107.849694124145 & 27.150305875855 \tabularnewline
99 & 68 & 82.1235988514161 & -14.1235988514161 \tabularnewline
100 & 124 & 70.7341395859182 & 53.2658604140818 \tabularnewline
101 & 33 & 46.074494294944 & -13.074494294944 \tabularnewline
102 & 98 & 97.8199354506491 & 0.180064549350917 \tabularnewline
103 & 58 & 75.6961607167304 & -17.6961607167304 \tabularnewline
104 & 68 & 62.4021797403561 & 5.59782025964385 \tabularnewline
105 & 81 & 56.3863547909606 & 24.6136452090394 \tabularnewline
106 & 131 & 80.2415574523393 & 50.7584425476607 \tabularnewline
107 & 110 & 117.430879401352 & -7.43087940135228 \tabularnewline
108 & 37 & 39.7603783214044 & -2.76037832140442 \tabularnewline
109 & 130 & 90.3443987761977 & 39.6556012238023 \tabularnewline
110 & 93 & 91.3793252646637 & 1.62067473533627 \tabularnewline
111 & 118 & 86.82724245313 & 31.17275754687 \tabularnewline
112 & 39 & 69.3077741979579 & -30.3077741979579 \tabularnewline
113 & 13 & 24.615118658485 & -11.615118658485 \tabularnewline
114 & 74 & 50.6509512701785 & 23.3490487298215 \tabularnewline
115 & 81 & 75.0278596112096 & 5.97214038879039 \tabularnewline
116 & 109 & 95.3292786094992 & 13.6707213905008 \tabularnewline
117 & 151 & 97.3294208086743 & 53.6705791913257 \tabularnewline
118 & 51 & 57.2994074854162 & -6.29940748541622 \tabularnewline
119 & 28 & 45.0575092830623 & -17.0575092830623 \tabularnewline
120 & 40 & 26.9166431492378 & 13.0833568507622 \tabularnewline
121 & 56 & 49.645213216889 & 6.35478678311097 \tabularnewline
122 & 27 & 31.4724121125988 & -4.47241211259885 \tabularnewline
123 & 37 & 36.8729404806796 & 0.127059519320393 \tabularnewline
124 & 83 & 63.1381582024678 & 19.8618417975322 \tabularnewline
125 & 54 & 63.2932869585206 & -9.29328695852059 \tabularnewline
126 & 27 & 13.0482931513229 & 13.9517068486771 \tabularnewline
127 & 28 & 24.44404691926 & 3.55595308074003 \tabularnewline
128 & 59 & 41.1271006234512 & 17.8728993765488 \tabularnewline
129 & 133 & 94.2653865274584 & 38.7346134725416 \tabularnewline
130 & 12 & -2.58666534095314 & 14.5866653409531 \tabularnewline
131 & 0 & 8.08098396888555 & -8.08098396888555 \tabularnewline
132 & 106 & 79.8860448884933 & 26.1139551115067 \tabularnewline
133 & 23 & 7.49554216394296 & 15.504457836057 \tabularnewline
134 & 44 & 62.6810652240904 & -18.6810652240904 \tabularnewline
135 & 71 & 67.6540477821992 & 3.34595221780078 \tabularnewline
136 & 116 & 102.939684959937 & 13.0603150400626 \tabularnewline
137 & 4 & -2.37503148604922 & 6.37503148604922 \tabularnewline
138 & 62 & 64.8121735529331 & -2.81217355293308 \tabularnewline
139 & 12 & 13.4632008473445 & -1.46320084734449 \tabularnewline
140 & 18 & 10.7094512332755 & 7.29054876672446 \tabularnewline
141 & 14 & 26.6574222378418 & -12.6574222378418 \tabularnewline
142 & 60 & 48.5943289908017 & 11.4056710091983 \tabularnewline
143 & 7 & 34.5424184238595 & -27.5424184238595 \tabularnewline
144 & 98 & 92.5786124003811 & 5.42138759961893 \tabularnewline
145 & 64 & 78.2946157371065 & -14.2946157371065 \tabularnewline
146 & 29 & 33.6522610104324 & -4.65226101043236 \tabularnewline
147 & 32 & 58.5385926789956 & -26.5385926789956 \tabularnewline
148 & 25 & 49.5066870730565 & -24.5066870730565 \tabularnewline
149 & 16 & 13.2083014184085 & 2.79169858159146 \tabularnewline
150 & 48 & 69.6762888423616 & -21.6762888423616 \tabularnewline
151 & 100 & 108.619182643985 & -8.61918264398527 \tabularnewline
152 & 46 & 85.1801214243346 & -39.1801214243346 \tabularnewline
153 & 45 & 40.5961129347321 & 4.40388706526791 \tabularnewline
154 & 129 & 130.192326928476 & -1.19232692847632 \tabularnewline
155 & 130 & 91.6317282768366 & 38.3682717231634 \tabularnewline
156 & 136 & 122.92584313459 & 13.0741568654095 \tabularnewline
157 & 59 & 66.0691633690883 & -7.06916336908832 \tabularnewline
158 & 25 & 20.7852381019112 & 4.21476189808875 \tabularnewline
159 & 32 & 55.3057688789322 & -23.3057688789322 \tabularnewline
160 & 63 & 72.7709731046319 & -9.77097310463188 \tabularnewline
161 & 95 & 124.321750756281 & -29.3217507562809 \tabularnewline
162 & 14 & 40.0627460810544 & -26.0627460810544 \tabularnewline
163 & 36 & 38.4802571831139 & -2.48025718311393 \tabularnewline
164 & 113 & 134.111775998997 & -21.1117759989974 \tabularnewline
165 & 47 & 66.6601938086381 & -19.6601938086381 \tabularnewline
166 & 92 & 72.8382354651107 & 19.1617645348893 \tabularnewline
167 & 70 & 63.3063729480303 & 6.69362705196973 \tabularnewline
168 & 19 & 60.0571226069434 & -41.0571226069434 \tabularnewline
169 & 50 & 33.1171171604163 & 16.8828828395837 \tabularnewline
170 & 41 & 59.3293755941248 & -18.3293755941248 \tabularnewline
171 & 91 & 115.115934453768 & -24.1159344537681 \tabularnewline
172 & 111 & 73.7706002435822 & 37.2293997564178 \tabularnewline
173 & 41 & 66.1020489918536 & -25.1020489918536 \tabularnewline
174 & 120 & 89.677408367595 & 30.322591632405 \tabularnewline
175 & 135 & 72.7903308509046 & 62.2096691490954 \tabularnewline
176 & 27 & 49.9967825748416 & -22.9967825748416 \tabularnewline
177 & 87 & 94.8565291873278 & -7.85652918732781 \tabularnewline
178 & 25 & 35.8695431045014 & -10.8695431045014 \tabularnewline
179 & 131 & 90.0247669330308 & 40.9752330669692 \tabularnewline
180 & 45 & 25.0587220709538 & 19.9412779290462 \tabularnewline
181 & 29 & 17.9701344547615 & 11.0298655452385 \tabularnewline
182 & 58 & 43.509706416941 & 14.490293583059 \tabularnewline
183 & 4 & -6.45067108230045 & 10.4506710823004 \tabularnewline
184 & 47 & 69.8918501497318 & -22.8918501497318 \tabularnewline
185 & 109 & 101.223982138253 & 7.77601786174699 \tabularnewline
186 & 7 & -7.23903457071353 & 14.2390345707135 \tabularnewline
187 & 12 & 12.0859628954751 & -0.0859628954751252 \tabularnewline
188 & 0 & -6.11863145569858 & 6.11863145569858 \tabularnewline
189 & 37 & 46.8486112660491 & -9.84861126604912 \tabularnewline
190 & 37 & 47.5583818536756 & -10.5583818536756 \tabularnewline
191 & 46 & 50.8999183834152 & -4.89991838341516 \tabularnewline
192 & 15 & 46.8890056920823 & -31.8890056920823 \tabularnewline
193 & 42 & 16.6392718328289 & 25.3607281671711 \tabularnewline
194 & 7 & 5.8587533952558 & 1.1412466047442 \tabularnewline
195 & 54 & 57.7776209623292 & -3.77762096232918 \tabularnewline
196 & 54 & 30.0498486705724 & 23.9501513294276 \tabularnewline
197 & 14 & 44.2032551336135 & -30.2032551336135 \tabularnewline
198 & 16 & 21.2525539709382 & -5.25255397093819 \tabularnewline
199 & 33 & 50.8527922049886 & -17.8527922049886 \tabularnewline
200 & 32 & 27.1848739829465 & 4.8151260170535 \tabularnewline
201 & 21 & 24.4434301010007 & -3.44343010100072 \tabularnewline
202 & 15 & 26.5640750629364 & -11.5640750629364 \tabularnewline
203 & 38 & 38.5017807310503 & -0.501780731050254 \tabularnewline
204 & 22 & 33.8903178511726 & -11.8903178511726 \tabularnewline
205 & 28 & 41.8543039918151 & -13.8543039918151 \tabularnewline
206 & 10 & 31.2012719546362 & -21.2012719546362 \tabularnewline
207 & 31 & 30.3729514284002 & 0.627048571599811 \tabularnewline
208 & 32 & 50.347202637394 & -18.347202637394 \tabularnewline
209 & 32 & 42.2179494451849 & -10.2179494451849 \tabularnewline
210 & 43 & 54.1177690904243 & -11.1177690904243 \tabularnewline
211 & 27 & 15.6997489923389 & 11.3002510076611 \tabularnewline
212 & 37 & 35.6554185311166 & 1.3445814688834 \tabularnewline
213 & 20 & 25.146363313311 & -5.14636331331101 \tabularnewline
214 & 32 & 31.4197361311054 & 0.580263868894636 \tabularnewline
215 & 0 & 42.2069178582716 & -42.2069178582716 \tabularnewline
216 & 5 & 33.9284115221579 & -28.9284115221579 \tabularnewline
217 & 26 & 31.4700684154439 & -5.47006841544393 \tabularnewline
218 & 10 & 7.31395764051402 & 2.68604235948598 \tabularnewline
219 & 27 & 23.1320203936833 & 3.86797960631672 \tabularnewline
220 & 11 & 26.4601310647158 & -15.4601310647158 \tabularnewline
221 & 29 & 43.1611576666327 & -14.1611576666328 \tabularnewline
222 & 25 & 38.5949359105765 & -13.5949359105765 \tabularnewline
223 & 55 & 43.7793348073591 & 11.2206651926409 \tabularnewline
224 & 23 & 28.2559653842646 & -5.25596538426457 \tabularnewline
225 & 5 & 21.1969720318272 & -16.1969720318272 \tabularnewline
226 & 43 & 31.8985476297003 & 11.1014523702997 \tabularnewline
227 & 23 & 8.23204851063918 & 14.7679514893608 \tabularnewline
228 & 34 & 33.7583960155345 & 0.241603984465532 \tabularnewline
229 & 36 & 20.3757922252028 & 15.6242077747972 \tabularnewline
230 & 35 & 50.0339511102529 & -15.0339511102529 \tabularnewline
231 & 0 & 22.7411286576581 & -22.7411286576581 \tabularnewline
232 & 37 & 26.6648196032526 & 10.3351803967474 \tabularnewline
233 & 28 & 43.7843137554203 & -15.7843137554203 \tabularnewline
234 & 16 & 22.4731048191579 & -6.47310481915793 \tabularnewline
235 & 26 & 38.0836878626993 & -12.0836878626993 \tabularnewline
236 & 38 & 26.1781809921275 & 11.8218190078725 \tabularnewline
237 & 23 & 46.977498867287 & -23.977498867287 \tabularnewline
238 & 22 & 28.1238651646233 & -6.12386516462329 \tabularnewline
239 & 30 & 31.5638537875263 & -1.56385378752626 \tabularnewline
240 & 16 & 26.8449795103839 & -10.8449795103839 \tabularnewline
241 & 18 & 31.0748202511126 & -13.0748202511126 \tabularnewline
242 & 28 & 43.5232722589338 & -15.5232722589338 \tabularnewline
243 & 32 & 23.2961503688308 & 8.70384963116924 \tabularnewline
244 & 21 & 21.8411405876348 & -0.841140587634836 \tabularnewline
245 & 23 & 25.0612226562738 & -2.06122265627383 \tabularnewline
246 & 29 & 39.5447248768635 & -10.5447248768635 \tabularnewline
247 & 50 & 37.842020356909 & 12.157979643091 \tabularnewline
248 & 12 & 26.2372023060994 & -14.2372023060994 \tabularnewline
249 & 21 & 22.2053115105535 & -1.20531151055348 \tabularnewline
250 & 18 & 12.9622633384583 & 5.03773666154173 \tabularnewline
251 & 27 & 48.1254716149915 & -21.1254716149915 \tabularnewline
252 & 41 & 35.5613393132654 & 5.43866068673459 \tabularnewline
253 & 13 & -8.62617589616581 & 21.6261758961658 \tabularnewline
254 & 12 & 36.0623361485777 & -24.0623361485777 \tabularnewline
255 & 21 & 43.7959418202269 & -22.7959418202269 \tabularnewline
256 & 8 & 5.86064807166852 & 2.13935192833148 \tabularnewline
257 & 26 & 11.9463784304459 & 14.0536215695541 \tabularnewline
258 & 27 & 29.4567896062754 & -2.45678960627538 \tabularnewline
259 & 13 & 18.429992609493 & -5.42999260949303 \tabularnewline
260 & 16 & 8.96995762922937 & 7.03004237077063 \tabularnewline
261 & 2 & 21.3354527949349 & -19.3354527949349 \tabularnewline
262 & 42 & 20.9421441931772 & 21.0578558068228 \tabularnewline
263 & 5 & 4.63934811108734 & 0.360651888912655 \tabularnewline
264 & 37 & 22.9737657716363 & 14.0262342283637 \tabularnewline
265 & 17 & 23.2628653432836 & -6.26286534328356 \tabularnewline
266 & 38 & 28.4606974432767 & 9.5393025567233 \tabularnewline
267 & 37 & 33.283162222422 & 3.71683777757804 \tabularnewline
268 & 29 & 16.689209312403 & 12.310790687597 \tabularnewline
269 & 32 & 26.7677586319028 & 5.23224136809718 \tabularnewline
270 & 35 & 34.8768236873114 & 0.123176312688561 \tabularnewline
271 & 17 & 39.6116712320606 & -22.6116712320606 \tabularnewline
272 & 20 & 27.8065392982011 & -7.80653929820109 \tabularnewline
273 & 7 & 1.69893147365142 & 5.30106852634858 \tabularnewline
274 & 46 & 31.2147578905897 & 14.7852421094103 \tabularnewline
275 & 24 & 15.9732368900795 & 8.02676310992046 \tabularnewline
276 & 40 & 28.2394294964493 & 11.7605705035507 \tabularnewline
277 & 3 & 12.8449705001089 & -9.84497050010895 \tabularnewline
278 & 10 & -7.25900155576337 & 17.2590015557634 \tabularnewline
279 & 37 & 28.8062756716131 & 8.19372432838687 \tabularnewline
280 & 17 & 30.9668293767392 & -13.9668293767392 \tabularnewline
281 & 28 & 35.4572153692729 & -7.45721536927292 \tabularnewline
282 & 19 & 25.3237007892029 & -6.32370078920286 \tabularnewline
283 & 29 & 28.8247291114228 & 0.175270888577219 \tabularnewline
284 & 8 & 1.33647353791318 & 6.66352646208682 \tabularnewline
285 & 10 & 28.2012721402467 & -18.2012721402467 \tabularnewline
286 & 15 & 28.0796936350788 & -13.0796936350788 \tabularnewline
287 & 15 & 18.5183413428722 & -3.51834134287216 \tabularnewline
288 & 28 & 22.0233820835983 & 5.97661791640173 \tabularnewline
289 & 17 & 34.9069401127737 & -17.9069401127737 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197155&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]79[/C][C]54.5783411161868[/C][C]24.4216588838132[/C][/ROW]
[ROW][C]2[/C][C]58[/C][C]46.5952589718468[/C][C]11.4047410281532[/C][/ROW]
[ROW][C]3[/C][C]60[/C][C]71.6334468212715[/C][C]-11.6334468212715[/C][/ROW]
[ROW][C]4[/C][C]108[/C][C]91.3508186135857[/C][C]16.6491813864143[/C][/ROW]
[ROW][C]5[/C][C]49[/C][C]32.3036833966031[/C][C]16.6963166033969[/C][/ROW]
[ROW][C]6[/C][C]0[/C][C]35.6171439609072[/C][C]-35.6171439609072[/C][/ROW]
[ROW][C]7[/C][C]121[/C][C]134.825950390789[/C][C]-13.825950390789[/C][/ROW]
[ROW][C]8[/C][C]1[/C][C]20.8860077053805[/C][C]-19.8860077053805[/C][/ROW]
[ROW][C]9[/C][C]20[/C][C]23.1816708040929[/C][C]-3.18167080409295[/C][/ROW]
[ROW][C]10[/C][C]43[/C][C]65.0272192447441[/C][C]-22.0272192447441[/C][/ROW]
[ROW][C]11[/C][C]69[/C][C]59.8115461173664[/C][C]9.18845388263356[/C][/ROW]
[ROW][C]12[/C][C]78[/C][C]89.8648229141927[/C][C]-11.8648229141927[/C][/ROW]
[ROW][C]13[/C][C]86[/C][C]81.6385385432514[/C][C]4.36146145674858[/C][/ROW]
[ROW][C]14[/C][C]44[/C][C]54.7402643024524[/C][C]-10.7402643024524[/C][/ROW]
[ROW][C]15[/C][C]104[/C][C]99.8703037678112[/C][C]4.12969623218886[/C][/ROW]
[ROW][C]16[/C][C]63[/C][C]65.8784204971549[/C][C]-2.87842049715488[/C][/ROW]
[ROW][C]17[/C][C]158[/C][C]159.811124136334[/C][C]-1.81112413633384[/C][/ROW]
[ROW][C]18[/C][C]102[/C][C]73.6517887960139[/C][C]28.3482112039861[/C][/ROW]
[ROW][C]19[/C][C]77[/C][C]89.188928667028[/C][C]-12.188928667028[/C][/ROW]
[ROW][C]20[/C][C]82[/C][C]51.6599574973243[/C][C]30.3400425026757[/C][/ROW]
[ROW][C]21[/C][C]115[/C][C]76.7843209276262[/C][C]38.2156790723738[/C][/ROW]
[ROW][C]22[/C][C]101[/C][C]84.8937973712447[/C][C]16.1062026287553[/C][/ROW]
[ROW][C]23[/C][C]80[/C][C]93.8931480419958[/C][C]-13.8931480419958[/C][/ROW]
[ROW][C]24[/C][C]50[/C][C]43.1231159576981[/C][C]6.87688404230194[/C][/ROW]
[ROW][C]25[/C][C]83[/C][C]72.6050639069316[/C][C]10.3949360930684[/C][/ROW]
[ROW][C]26[/C][C]123[/C][C]98.9663622607362[/C][C]24.0336377392638[/C][/ROW]
[ROW][C]27[/C][C]73[/C][C]91.2519954435598[/C][C]-18.2519954435598[/C][/ROW]
[ROW][C]28[/C][C]81[/C][C]88.3633765679183[/C][C]-7.3633765679183[/C][/ROW]
[ROW][C]29[/C][C]105[/C][C]75.4777879090625[/C][C]29.5222120909375[/C][/ROW]
[ROW][C]30[/C][C]47[/C][C]59.3590332200471[/C][C]-12.3590332200471[/C][/ROW]
[ROW][C]31[/C][C]105[/C][C]80.2023097474132[/C][C]24.7976902525868[/C][/ROW]
[ROW][C]32[/C][C]94[/C][C]86.6039753859558[/C][C]7.39602461404421[/C][/ROW]
[ROW][C]33[/C][C]44[/C][C]82.3279106969466[/C][C]-38.3279106969466[/C][/ROW]
[ROW][C]34[/C][C]114[/C][C]101.008139856278[/C][C]12.9918601437217[/C][/ROW]
[ROW][C]35[/C][C]38[/C][C]48.9462462412272[/C][C]-10.9462462412272[/C][/ROW]
[ROW][C]36[/C][C]107[/C][C]106.523013858394[/C][C]0.47698614160638[/C][/ROW]
[ROW][C]37[/C][C]30[/C][C]23.3331036553836[/C][C]6.66689634461639[/C][/ROW]
[ROW][C]38[/C][C]71[/C][C]93.0065828892537[/C][C]-22.0065828892537[/C][/ROW]
[ROW][C]39[/C][C]84[/C][C]109.135152826962[/C][C]-25.1351528269617[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]-7.62330090720714[/C][C]7.62330090720714[/C][/ROW]
[ROW][C]41[/C][C]59[/C][C]63.3674649899013[/C][C]-4.36746498990126[/C][/ROW]
[ROW][C]42[/C][C]33[/C][C]22.1089389773126[/C][C]10.8910610226874[/C][/ROW]
[ROW][C]43[/C][C]42[/C][C]32.4198639666247[/C][C]9.58013603337527[/C][/ROW]
[ROW][C]44[/C][C]96[/C][C]103.417494766273[/C][C]-7.4174947662732[/C][/ROW]
[ROW][C]45[/C][C]106[/C][C]112.730701157586[/C][C]-6.73070115758583[/C][/ROW]
[ROW][C]46[/C][C]56[/C][C]68.5361671909949[/C][C]-12.5361671909949[/C][/ROW]
[ROW][C]47[/C][C]57[/C][C]75.6739803367268[/C][C]-18.6739803367268[/C][/ROW]
[ROW][C]48[/C][C]59[/C][C]54.2069320813734[/C][C]4.79306791862663[/C][/ROW]
[ROW][C]49[/C][C]39[/C][C]47.9017068411211[/C][C]-8.90170684112114[/C][/ROW]
[ROW][C]50[/C][C]34[/C][C]71.7171923415978[/C][C]-37.7171923415978[/C][/ROW]
[ROW][C]51[/C][C]76[/C][C]68.7740396058692[/C][C]7.22596039413078[/C][/ROW]
[ROW][C]52[/C][C]20[/C][C]39.534273433686[/C][C]-19.534273433686[/C][/ROW]
[ROW][C]53[/C][C]91[/C][C]87.9240492108293[/C][C]3.07595078917073[/C][/ROW]
[ROW][C]54[/C][C]115[/C][C]115.529768075874[/C][C]-0.529768075874137[/C][/ROW]
[ROW][C]55[/C][C]85[/C][C]85.6716736533677[/C][C]-0.67167365336774[/C][/ROW]
[ROW][C]56[/C][C]76[/C][C]70.0488939275533[/C][C]5.95110607244669[/C][/ROW]
[ROW][C]57[/C][C]8[/C][C]6.13986087545964[/C][C]1.86013912454036[/C][/ROW]
[ROW][C]58[/C][C]79[/C][C]88.8270389163672[/C][C]-9.82703891636721[/C][/ROW]
[ROW][C]59[/C][C]21[/C][C]27.0219493587988[/C][C]-6.02194935879878[/C][/ROW]
[ROW][C]60[/C][C]30[/C][C]30.8889337127238[/C][C]-0.888933712723795[/C][/ROW]
[ROW][C]61[/C][C]76[/C][C]83.5735570573734[/C][C]-7.57355705737338[/C][/ROW]
[ROW][C]62[/C][C]101[/C][C]90.002408743607[/C][C]10.997591256393[/C][/ROW]
[ROW][C]63[/C][C]94[/C][C]89.9413130440332[/C][C]4.05868695596678[/C][/ROW]
[ROW][C]64[/C][C]27[/C][C]32.5813187732752[/C][C]-5.58131877327516[/C][/ROW]
[ROW][C]65[/C][C]92[/C][C]67.9709167145528[/C][C]24.0290832854472[/C][/ROW]
[ROW][C]66[/C][C]123[/C][C]96.3000273020174[/C][C]26.6999726979826[/C][/ROW]
[ROW][C]67[/C][C]75[/C][C]59.5575933822653[/C][C]15.4424066177347[/C][/ROW]
[ROW][C]68[/C][C]128[/C][C]113.1194347995[/C][C]14.8805652004997[/C][/ROW]
[ROW][C]69[/C][C]105[/C][C]64.6556986861445[/C][C]40.3443013138555[/C][/ROW]
[ROW][C]70[/C][C]55[/C][C]94.4719390599394[/C][C]-39.4719390599394[/C][/ROW]
[ROW][C]71[/C][C]56[/C][C]78.9206234113342[/C][C]-22.9206234113342[/C][/ROW]
[ROW][C]72[/C][C]41[/C][C]65.6166055973643[/C][C]-24.6166055973643[/C][/ROW]
[ROW][C]73[/C][C]72[/C][C]53.5263234627641[/C][C]18.4736765372359[/C][/ROW]
[ROW][C]74[/C][C]67[/C][C]56.8724800894038[/C][C]10.1275199105962[/C][/ROW]
[ROW][C]75[/C][C]75[/C][C]80.3374009534081[/C][C]-5.33740095340806[/C][/ROW]
[ROW][C]76[/C][C]114[/C][C]74.8636551915593[/C][C]39.1363448084407[/C][/ROW]
[ROW][C]77[/C][C]118[/C][C]46.4770143950054[/C][C]71.5229856049946[/C][/ROW]
[ROW][C]78[/C][C]77[/C][C]82.321571734461[/C][C]-5.32157173446099[/C][/ROW]
[ROW][C]79[/C][C]22[/C][C]42.2586485926864[/C][C]-20.2586485926864[/C][/ROW]
[ROW][C]80[/C][C]66[/C][C]84.1453527395464[/C][C]-18.1453527395464[/C][/ROW]
[ROW][C]81[/C][C]69[/C][C]67.2457925892141[/C][C]1.75420741078594[/C][/ROW]
[ROW][C]82[/C][C]105[/C][C]75.5416974889301[/C][C]29.4583025110699[/C][/ROW]
[ROW][C]83[/C][C]116[/C][C]89.5189314808743[/C][C]26.4810685191257[/C][/ROW]
[ROW][C]84[/C][C]88[/C][C]82.4466729809021[/C][C]5.55332701909786[/C][/ROW]
[ROW][C]85[/C][C]73[/C][C]64.6232528279774[/C][C]8.37674717202261[/C][/ROW]
[ROW][C]86[/C][C]99[/C][C]64.7047926241689[/C][C]34.2952073758311[/C][/ROW]
[ROW][C]87[/C][C]62[/C][C]74.448147411369[/C][C]-12.448147411369[/C][/ROW]
[ROW][C]88[/C][C]53[/C][C]57.918538712[/C][C]-4.91853871199998[/C][/ROW]
[ROW][C]89[/C][C]118[/C][C]113.292258601489[/C][C]4.707741398511[/C][/ROW]
[ROW][C]90[/C][C]30[/C][C]66.1829966659012[/C][C]-36.1829966659012[/C][/ROW]
[ROW][C]91[/C][C]100[/C][C]53.6284131978908[/C][C]46.3715868021092[/C][/ROW]
[ROW][C]92[/C][C]49[/C][C]27.656062668234[/C][C]21.343937331766[/C][/ROW]
[ROW][C]93[/C][C]24[/C][C]59.3502994272364[/C][C]-35.3502994272364[/C][/ROW]
[ROW][C]94[/C][C]67[/C][C]45.1633625484748[/C][C]21.8366374515252[/C][/ROW]
[ROW][C]95[/C][C]46[/C][C]36.7780790594806[/C][C]9.22192094051942[/C][/ROW]
[ROW][C]96[/C][C]57[/C][C]87.0193117156023[/C][C]-30.0193117156023[/C][/ROW]
[ROW][C]97[/C][C]75[/C][C]102.152999920533[/C][C]-27.1529999205329[/C][/ROW]
[ROW][C]98[/C][C]135[/C][C]107.849694124145[/C][C]27.150305875855[/C][/ROW]
[ROW][C]99[/C][C]68[/C][C]82.1235988514161[/C][C]-14.1235988514161[/C][/ROW]
[ROW][C]100[/C][C]124[/C][C]70.7341395859182[/C][C]53.2658604140818[/C][/ROW]
[ROW][C]101[/C][C]33[/C][C]46.074494294944[/C][C]-13.074494294944[/C][/ROW]
[ROW][C]102[/C][C]98[/C][C]97.8199354506491[/C][C]0.180064549350917[/C][/ROW]
[ROW][C]103[/C][C]58[/C][C]75.6961607167304[/C][C]-17.6961607167304[/C][/ROW]
[ROW][C]104[/C][C]68[/C][C]62.4021797403561[/C][C]5.59782025964385[/C][/ROW]
[ROW][C]105[/C][C]81[/C][C]56.3863547909606[/C][C]24.6136452090394[/C][/ROW]
[ROW][C]106[/C][C]131[/C][C]80.2415574523393[/C][C]50.7584425476607[/C][/ROW]
[ROW][C]107[/C][C]110[/C][C]117.430879401352[/C][C]-7.43087940135228[/C][/ROW]
[ROW][C]108[/C][C]37[/C][C]39.7603783214044[/C][C]-2.76037832140442[/C][/ROW]
[ROW][C]109[/C][C]130[/C][C]90.3443987761977[/C][C]39.6556012238023[/C][/ROW]
[ROW][C]110[/C][C]93[/C][C]91.3793252646637[/C][C]1.62067473533627[/C][/ROW]
[ROW][C]111[/C][C]118[/C][C]86.82724245313[/C][C]31.17275754687[/C][/ROW]
[ROW][C]112[/C][C]39[/C][C]69.3077741979579[/C][C]-30.3077741979579[/C][/ROW]
[ROW][C]113[/C][C]13[/C][C]24.615118658485[/C][C]-11.615118658485[/C][/ROW]
[ROW][C]114[/C][C]74[/C][C]50.6509512701785[/C][C]23.3490487298215[/C][/ROW]
[ROW][C]115[/C][C]81[/C][C]75.0278596112096[/C][C]5.97214038879039[/C][/ROW]
[ROW][C]116[/C][C]109[/C][C]95.3292786094992[/C][C]13.6707213905008[/C][/ROW]
[ROW][C]117[/C][C]151[/C][C]97.3294208086743[/C][C]53.6705791913257[/C][/ROW]
[ROW][C]118[/C][C]51[/C][C]57.2994074854162[/C][C]-6.29940748541622[/C][/ROW]
[ROW][C]119[/C][C]28[/C][C]45.0575092830623[/C][C]-17.0575092830623[/C][/ROW]
[ROW][C]120[/C][C]40[/C][C]26.9166431492378[/C][C]13.0833568507622[/C][/ROW]
[ROW][C]121[/C][C]56[/C][C]49.645213216889[/C][C]6.35478678311097[/C][/ROW]
[ROW][C]122[/C][C]27[/C][C]31.4724121125988[/C][C]-4.47241211259885[/C][/ROW]
[ROW][C]123[/C][C]37[/C][C]36.8729404806796[/C][C]0.127059519320393[/C][/ROW]
[ROW][C]124[/C][C]83[/C][C]63.1381582024678[/C][C]19.8618417975322[/C][/ROW]
[ROW][C]125[/C][C]54[/C][C]63.2932869585206[/C][C]-9.29328695852059[/C][/ROW]
[ROW][C]126[/C][C]27[/C][C]13.0482931513229[/C][C]13.9517068486771[/C][/ROW]
[ROW][C]127[/C][C]28[/C][C]24.44404691926[/C][C]3.55595308074003[/C][/ROW]
[ROW][C]128[/C][C]59[/C][C]41.1271006234512[/C][C]17.8728993765488[/C][/ROW]
[ROW][C]129[/C][C]133[/C][C]94.2653865274584[/C][C]38.7346134725416[/C][/ROW]
[ROW][C]130[/C][C]12[/C][C]-2.58666534095314[/C][C]14.5866653409531[/C][/ROW]
[ROW][C]131[/C][C]0[/C][C]8.08098396888555[/C][C]-8.08098396888555[/C][/ROW]
[ROW][C]132[/C][C]106[/C][C]79.8860448884933[/C][C]26.1139551115067[/C][/ROW]
[ROW][C]133[/C][C]23[/C][C]7.49554216394296[/C][C]15.504457836057[/C][/ROW]
[ROW][C]134[/C][C]44[/C][C]62.6810652240904[/C][C]-18.6810652240904[/C][/ROW]
[ROW][C]135[/C][C]71[/C][C]67.6540477821992[/C][C]3.34595221780078[/C][/ROW]
[ROW][C]136[/C][C]116[/C][C]102.939684959937[/C][C]13.0603150400626[/C][/ROW]
[ROW][C]137[/C][C]4[/C][C]-2.37503148604922[/C][C]6.37503148604922[/C][/ROW]
[ROW][C]138[/C][C]62[/C][C]64.8121735529331[/C][C]-2.81217355293308[/C][/ROW]
[ROW][C]139[/C][C]12[/C][C]13.4632008473445[/C][C]-1.46320084734449[/C][/ROW]
[ROW][C]140[/C][C]18[/C][C]10.7094512332755[/C][C]7.29054876672446[/C][/ROW]
[ROW][C]141[/C][C]14[/C][C]26.6574222378418[/C][C]-12.6574222378418[/C][/ROW]
[ROW][C]142[/C][C]60[/C][C]48.5943289908017[/C][C]11.4056710091983[/C][/ROW]
[ROW][C]143[/C][C]7[/C][C]34.5424184238595[/C][C]-27.5424184238595[/C][/ROW]
[ROW][C]144[/C][C]98[/C][C]92.5786124003811[/C][C]5.42138759961893[/C][/ROW]
[ROW][C]145[/C][C]64[/C][C]78.2946157371065[/C][C]-14.2946157371065[/C][/ROW]
[ROW][C]146[/C][C]29[/C][C]33.6522610104324[/C][C]-4.65226101043236[/C][/ROW]
[ROW][C]147[/C][C]32[/C][C]58.5385926789956[/C][C]-26.5385926789956[/C][/ROW]
[ROW][C]148[/C][C]25[/C][C]49.5066870730565[/C][C]-24.5066870730565[/C][/ROW]
[ROW][C]149[/C][C]16[/C][C]13.2083014184085[/C][C]2.79169858159146[/C][/ROW]
[ROW][C]150[/C][C]48[/C][C]69.6762888423616[/C][C]-21.6762888423616[/C][/ROW]
[ROW][C]151[/C][C]100[/C][C]108.619182643985[/C][C]-8.61918264398527[/C][/ROW]
[ROW][C]152[/C][C]46[/C][C]85.1801214243346[/C][C]-39.1801214243346[/C][/ROW]
[ROW][C]153[/C][C]45[/C][C]40.5961129347321[/C][C]4.40388706526791[/C][/ROW]
[ROW][C]154[/C][C]129[/C][C]130.192326928476[/C][C]-1.19232692847632[/C][/ROW]
[ROW][C]155[/C][C]130[/C][C]91.6317282768366[/C][C]38.3682717231634[/C][/ROW]
[ROW][C]156[/C][C]136[/C][C]122.92584313459[/C][C]13.0741568654095[/C][/ROW]
[ROW][C]157[/C][C]59[/C][C]66.0691633690883[/C][C]-7.06916336908832[/C][/ROW]
[ROW][C]158[/C][C]25[/C][C]20.7852381019112[/C][C]4.21476189808875[/C][/ROW]
[ROW][C]159[/C][C]32[/C][C]55.3057688789322[/C][C]-23.3057688789322[/C][/ROW]
[ROW][C]160[/C][C]63[/C][C]72.7709731046319[/C][C]-9.77097310463188[/C][/ROW]
[ROW][C]161[/C][C]95[/C][C]124.321750756281[/C][C]-29.3217507562809[/C][/ROW]
[ROW][C]162[/C][C]14[/C][C]40.0627460810544[/C][C]-26.0627460810544[/C][/ROW]
[ROW][C]163[/C][C]36[/C][C]38.4802571831139[/C][C]-2.48025718311393[/C][/ROW]
[ROW][C]164[/C][C]113[/C][C]134.111775998997[/C][C]-21.1117759989974[/C][/ROW]
[ROW][C]165[/C][C]47[/C][C]66.6601938086381[/C][C]-19.6601938086381[/C][/ROW]
[ROW][C]166[/C][C]92[/C][C]72.8382354651107[/C][C]19.1617645348893[/C][/ROW]
[ROW][C]167[/C][C]70[/C][C]63.3063729480303[/C][C]6.69362705196973[/C][/ROW]
[ROW][C]168[/C][C]19[/C][C]60.0571226069434[/C][C]-41.0571226069434[/C][/ROW]
[ROW][C]169[/C][C]50[/C][C]33.1171171604163[/C][C]16.8828828395837[/C][/ROW]
[ROW][C]170[/C][C]41[/C][C]59.3293755941248[/C][C]-18.3293755941248[/C][/ROW]
[ROW][C]171[/C][C]91[/C][C]115.115934453768[/C][C]-24.1159344537681[/C][/ROW]
[ROW][C]172[/C][C]111[/C][C]73.7706002435822[/C][C]37.2293997564178[/C][/ROW]
[ROW][C]173[/C][C]41[/C][C]66.1020489918536[/C][C]-25.1020489918536[/C][/ROW]
[ROW][C]174[/C][C]120[/C][C]89.677408367595[/C][C]30.322591632405[/C][/ROW]
[ROW][C]175[/C][C]135[/C][C]72.7903308509046[/C][C]62.2096691490954[/C][/ROW]
[ROW][C]176[/C][C]27[/C][C]49.9967825748416[/C][C]-22.9967825748416[/C][/ROW]
[ROW][C]177[/C][C]87[/C][C]94.8565291873278[/C][C]-7.85652918732781[/C][/ROW]
[ROW][C]178[/C][C]25[/C][C]35.8695431045014[/C][C]-10.8695431045014[/C][/ROW]
[ROW][C]179[/C][C]131[/C][C]90.0247669330308[/C][C]40.9752330669692[/C][/ROW]
[ROW][C]180[/C][C]45[/C][C]25.0587220709538[/C][C]19.9412779290462[/C][/ROW]
[ROW][C]181[/C][C]29[/C][C]17.9701344547615[/C][C]11.0298655452385[/C][/ROW]
[ROW][C]182[/C][C]58[/C][C]43.509706416941[/C][C]14.490293583059[/C][/ROW]
[ROW][C]183[/C][C]4[/C][C]-6.45067108230045[/C][C]10.4506710823004[/C][/ROW]
[ROW][C]184[/C][C]47[/C][C]69.8918501497318[/C][C]-22.8918501497318[/C][/ROW]
[ROW][C]185[/C][C]109[/C][C]101.223982138253[/C][C]7.77601786174699[/C][/ROW]
[ROW][C]186[/C][C]7[/C][C]-7.23903457071353[/C][C]14.2390345707135[/C][/ROW]
[ROW][C]187[/C][C]12[/C][C]12.0859628954751[/C][C]-0.0859628954751252[/C][/ROW]
[ROW][C]188[/C][C]0[/C][C]-6.11863145569858[/C][C]6.11863145569858[/C][/ROW]
[ROW][C]189[/C][C]37[/C][C]46.8486112660491[/C][C]-9.84861126604912[/C][/ROW]
[ROW][C]190[/C][C]37[/C][C]47.5583818536756[/C][C]-10.5583818536756[/C][/ROW]
[ROW][C]191[/C][C]46[/C][C]50.8999183834152[/C][C]-4.89991838341516[/C][/ROW]
[ROW][C]192[/C][C]15[/C][C]46.8890056920823[/C][C]-31.8890056920823[/C][/ROW]
[ROW][C]193[/C][C]42[/C][C]16.6392718328289[/C][C]25.3607281671711[/C][/ROW]
[ROW][C]194[/C][C]7[/C][C]5.8587533952558[/C][C]1.1412466047442[/C][/ROW]
[ROW][C]195[/C][C]54[/C][C]57.7776209623292[/C][C]-3.77762096232918[/C][/ROW]
[ROW][C]196[/C][C]54[/C][C]30.0498486705724[/C][C]23.9501513294276[/C][/ROW]
[ROW][C]197[/C][C]14[/C][C]44.2032551336135[/C][C]-30.2032551336135[/C][/ROW]
[ROW][C]198[/C][C]16[/C][C]21.2525539709382[/C][C]-5.25255397093819[/C][/ROW]
[ROW][C]199[/C][C]33[/C][C]50.8527922049886[/C][C]-17.8527922049886[/C][/ROW]
[ROW][C]200[/C][C]32[/C][C]27.1848739829465[/C][C]4.8151260170535[/C][/ROW]
[ROW][C]201[/C][C]21[/C][C]24.4434301010007[/C][C]-3.44343010100072[/C][/ROW]
[ROW][C]202[/C][C]15[/C][C]26.5640750629364[/C][C]-11.5640750629364[/C][/ROW]
[ROW][C]203[/C][C]38[/C][C]38.5017807310503[/C][C]-0.501780731050254[/C][/ROW]
[ROW][C]204[/C][C]22[/C][C]33.8903178511726[/C][C]-11.8903178511726[/C][/ROW]
[ROW][C]205[/C][C]28[/C][C]41.8543039918151[/C][C]-13.8543039918151[/C][/ROW]
[ROW][C]206[/C][C]10[/C][C]31.2012719546362[/C][C]-21.2012719546362[/C][/ROW]
[ROW][C]207[/C][C]31[/C][C]30.3729514284002[/C][C]0.627048571599811[/C][/ROW]
[ROW][C]208[/C][C]32[/C][C]50.347202637394[/C][C]-18.347202637394[/C][/ROW]
[ROW][C]209[/C][C]32[/C][C]42.2179494451849[/C][C]-10.2179494451849[/C][/ROW]
[ROW][C]210[/C][C]43[/C][C]54.1177690904243[/C][C]-11.1177690904243[/C][/ROW]
[ROW][C]211[/C][C]27[/C][C]15.6997489923389[/C][C]11.3002510076611[/C][/ROW]
[ROW][C]212[/C][C]37[/C][C]35.6554185311166[/C][C]1.3445814688834[/C][/ROW]
[ROW][C]213[/C][C]20[/C][C]25.146363313311[/C][C]-5.14636331331101[/C][/ROW]
[ROW][C]214[/C][C]32[/C][C]31.4197361311054[/C][C]0.580263868894636[/C][/ROW]
[ROW][C]215[/C][C]0[/C][C]42.2069178582716[/C][C]-42.2069178582716[/C][/ROW]
[ROW][C]216[/C][C]5[/C][C]33.9284115221579[/C][C]-28.9284115221579[/C][/ROW]
[ROW][C]217[/C][C]26[/C][C]31.4700684154439[/C][C]-5.47006841544393[/C][/ROW]
[ROW][C]218[/C][C]10[/C][C]7.31395764051402[/C][C]2.68604235948598[/C][/ROW]
[ROW][C]219[/C][C]27[/C][C]23.1320203936833[/C][C]3.86797960631672[/C][/ROW]
[ROW][C]220[/C][C]11[/C][C]26.4601310647158[/C][C]-15.4601310647158[/C][/ROW]
[ROW][C]221[/C][C]29[/C][C]43.1611576666327[/C][C]-14.1611576666328[/C][/ROW]
[ROW][C]222[/C][C]25[/C][C]38.5949359105765[/C][C]-13.5949359105765[/C][/ROW]
[ROW][C]223[/C][C]55[/C][C]43.7793348073591[/C][C]11.2206651926409[/C][/ROW]
[ROW][C]224[/C][C]23[/C][C]28.2559653842646[/C][C]-5.25596538426457[/C][/ROW]
[ROW][C]225[/C][C]5[/C][C]21.1969720318272[/C][C]-16.1969720318272[/C][/ROW]
[ROW][C]226[/C][C]43[/C][C]31.8985476297003[/C][C]11.1014523702997[/C][/ROW]
[ROW][C]227[/C][C]23[/C][C]8.23204851063918[/C][C]14.7679514893608[/C][/ROW]
[ROW][C]228[/C][C]34[/C][C]33.7583960155345[/C][C]0.241603984465532[/C][/ROW]
[ROW][C]229[/C][C]36[/C][C]20.3757922252028[/C][C]15.6242077747972[/C][/ROW]
[ROW][C]230[/C][C]35[/C][C]50.0339511102529[/C][C]-15.0339511102529[/C][/ROW]
[ROW][C]231[/C][C]0[/C][C]22.7411286576581[/C][C]-22.7411286576581[/C][/ROW]
[ROW][C]232[/C][C]37[/C][C]26.6648196032526[/C][C]10.3351803967474[/C][/ROW]
[ROW][C]233[/C][C]28[/C][C]43.7843137554203[/C][C]-15.7843137554203[/C][/ROW]
[ROW][C]234[/C][C]16[/C][C]22.4731048191579[/C][C]-6.47310481915793[/C][/ROW]
[ROW][C]235[/C][C]26[/C][C]38.0836878626993[/C][C]-12.0836878626993[/C][/ROW]
[ROW][C]236[/C][C]38[/C][C]26.1781809921275[/C][C]11.8218190078725[/C][/ROW]
[ROW][C]237[/C][C]23[/C][C]46.977498867287[/C][C]-23.977498867287[/C][/ROW]
[ROW][C]238[/C][C]22[/C][C]28.1238651646233[/C][C]-6.12386516462329[/C][/ROW]
[ROW][C]239[/C][C]30[/C][C]31.5638537875263[/C][C]-1.56385378752626[/C][/ROW]
[ROW][C]240[/C][C]16[/C][C]26.8449795103839[/C][C]-10.8449795103839[/C][/ROW]
[ROW][C]241[/C][C]18[/C][C]31.0748202511126[/C][C]-13.0748202511126[/C][/ROW]
[ROW][C]242[/C][C]28[/C][C]43.5232722589338[/C][C]-15.5232722589338[/C][/ROW]
[ROW][C]243[/C][C]32[/C][C]23.2961503688308[/C][C]8.70384963116924[/C][/ROW]
[ROW][C]244[/C][C]21[/C][C]21.8411405876348[/C][C]-0.841140587634836[/C][/ROW]
[ROW][C]245[/C][C]23[/C][C]25.0612226562738[/C][C]-2.06122265627383[/C][/ROW]
[ROW][C]246[/C][C]29[/C][C]39.5447248768635[/C][C]-10.5447248768635[/C][/ROW]
[ROW][C]247[/C][C]50[/C][C]37.842020356909[/C][C]12.157979643091[/C][/ROW]
[ROW][C]248[/C][C]12[/C][C]26.2372023060994[/C][C]-14.2372023060994[/C][/ROW]
[ROW][C]249[/C][C]21[/C][C]22.2053115105535[/C][C]-1.20531151055348[/C][/ROW]
[ROW][C]250[/C][C]18[/C][C]12.9622633384583[/C][C]5.03773666154173[/C][/ROW]
[ROW][C]251[/C][C]27[/C][C]48.1254716149915[/C][C]-21.1254716149915[/C][/ROW]
[ROW][C]252[/C][C]41[/C][C]35.5613393132654[/C][C]5.43866068673459[/C][/ROW]
[ROW][C]253[/C][C]13[/C][C]-8.62617589616581[/C][C]21.6261758961658[/C][/ROW]
[ROW][C]254[/C][C]12[/C][C]36.0623361485777[/C][C]-24.0623361485777[/C][/ROW]
[ROW][C]255[/C][C]21[/C][C]43.7959418202269[/C][C]-22.7959418202269[/C][/ROW]
[ROW][C]256[/C][C]8[/C][C]5.86064807166852[/C][C]2.13935192833148[/C][/ROW]
[ROW][C]257[/C][C]26[/C][C]11.9463784304459[/C][C]14.0536215695541[/C][/ROW]
[ROW][C]258[/C][C]27[/C][C]29.4567896062754[/C][C]-2.45678960627538[/C][/ROW]
[ROW][C]259[/C][C]13[/C][C]18.429992609493[/C][C]-5.42999260949303[/C][/ROW]
[ROW][C]260[/C][C]16[/C][C]8.96995762922937[/C][C]7.03004237077063[/C][/ROW]
[ROW][C]261[/C][C]2[/C][C]21.3354527949349[/C][C]-19.3354527949349[/C][/ROW]
[ROW][C]262[/C][C]42[/C][C]20.9421441931772[/C][C]21.0578558068228[/C][/ROW]
[ROW][C]263[/C][C]5[/C][C]4.63934811108734[/C][C]0.360651888912655[/C][/ROW]
[ROW][C]264[/C][C]37[/C][C]22.9737657716363[/C][C]14.0262342283637[/C][/ROW]
[ROW][C]265[/C][C]17[/C][C]23.2628653432836[/C][C]-6.26286534328356[/C][/ROW]
[ROW][C]266[/C][C]38[/C][C]28.4606974432767[/C][C]9.5393025567233[/C][/ROW]
[ROW][C]267[/C][C]37[/C][C]33.283162222422[/C][C]3.71683777757804[/C][/ROW]
[ROW][C]268[/C][C]29[/C][C]16.689209312403[/C][C]12.310790687597[/C][/ROW]
[ROW][C]269[/C][C]32[/C][C]26.7677586319028[/C][C]5.23224136809718[/C][/ROW]
[ROW][C]270[/C][C]35[/C][C]34.8768236873114[/C][C]0.123176312688561[/C][/ROW]
[ROW][C]271[/C][C]17[/C][C]39.6116712320606[/C][C]-22.6116712320606[/C][/ROW]
[ROW][C]272[/C][C]20[/C][C]27.8065392982011[/C][C]-7.80653929820109[/C][/ROW]
[ROW][C]273[/C][C]7[/C][C]1.69893147365142[/C][C]5.30106852634858[/C][/ROW]
[ROW][C]274[/C][C]46[/C][C]31.2147578905897[/C][C]14.7852421094103[/C][/ROW]
[ROW][C]275[/C][C]24[/C][C]15.9732368900795[/C][C]8.02676310992046[/C][/ROW]
[ROW][C]276[/C][C]40[/C][C]28.2394294964493[/C][C]11.7605705035507[/C][/ROW]
[ROW][C]277[/C][C]3[/C][C]12.8449705001089[/C][C]-9.84497050010895[/C][/ROW]
[ROW][C]278[/C][C]10[/C][C]-7.25900155576337[/C][C]17.2590015557634[/C][/ROW]
[ROW][C]279[/C][C]37[/C][C]28.8062756716131[/C][C]8.19372432838687[/C][/ROW]
[ROW][C]280[/C][C]17[/C][C]30.9668293767392[/C][C]-13.9668293767392[/C][/ROW]
[ROW][C]281[/C][C]28[/C][C]35.4572153692729[/C][C]-7.45721536927292[/C][/ROW]
[ROW][C]282[/C][C]19[/C][C]25.3237007892029[/C][C]-6.32370078920286[/C][/ROW]
[ROW][C]283[/C][C]29[/C][C]28.8247291114228[/C][C]0.175270888577219[/C][/ROW]
[ROW][C]284[/C][C]8[/C][C]1.33647353791318[/C][C]6.66352646208682[/C][/ROW]
[ROW][C]285[/C][C]10[/C][C]28.2012721402467[/C][C]-18.2012721402467[/C][/ROW]
[ROW][C]286[/C][C]15[/C][C]28.0796936350788[/C][C]-13.0796936350788[/C][/ROW]
[ROW][C]287[/C][C]15[/C][C]18.5183413428722[/C][C]-3.51834134287216[/C][/ROW]
[ROW][C]288[/C][C]28[/C][C]22.0233820835983[/C][C]5.97661791640173[/C][/ROW]
[ROW][C]289[/C][C]17[/C][C]34.9069401127737[/C][C]-17.9069401127737[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197155&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197155&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
17954.578341116186824.4216588838132
25846.595258971846811.4047410281532
36071.6334468212715-11.6334468212715
410891.350818613585716.6491813864143
54932.303683396603116.6963166033969
6035.6171439609072-35.6171439609072
7121134.825950390789-13.825950390789
8120.8860077053805-19.8860077053805
92023.1816708040929-3.18167080409295
104365.0272192447441-22.0272192447441
116959.81154611736649.18845388263356
127889.8648229141927-11.8648229141927
138681.63853854325144.36146145674858
144454.7402643024524-10.7402643024524
1510499.87030376781124.12969623218886
166365.8784204971549-2.87842049715488
17158159.811124136334-1.81112413633384
1810273.651788796013928.3482112039861
197789.188928667028-12.188928667028
208251.659957497324330.3400425026757
2111576.784320927626238.2156790723738
2210184.893797371244716.1062026287553
238093.8931480419958-13.8931480419958
245043.12311595769816.87688404230194
258372.605063906931610.3949360930684
2612398.966362260736224.0336377392638
277391.2519954435598-18.2519954435598
288188.3633765679183-7.3633765679183
2910575.477787909062529.5222120909375
304759.3590332200471-12.3590332200471
3110580.202309747413224.7976902525868
329486.60397538595587.39602461404421
334482.3279106969466-38.3279106969466
34114101.00813985627812.9918601437217
353848.9462462412272-10.9462462412272
36107106.5230138583940.47698614160638
373023.33310365538366.66689634461639
387193.0065828892537-22.0065828892537
3984109.135152826962-25.1351528269617
400-7.623300907207147.62330090720714
415963.3674649899013-4.36746498990126
423322.108938977312610.8910610226874
434232.41986396662479.58013603337527
4496103.417494766273-7.4174947662732
45106112.730701157586-6.73070115758583
465668.5361671909949-12.5361671909949
475775.6739803367268-18.6739803367268
485954.20693208137344.79306791862663
493947.9017068411211-8.90170684112114
503471.7171923415978-37.7171923415978
517668.77403960586927.22596039413078
522039.534273433686-19.534273433686
539187.92404921082933.07595078917073
54115115.529768075874-0.529768075874137
558585.6716736533677-0.67167365336774
567670.04889392755335.95110607244669
5786.139860875459641.86013912454036
587988.8270389163672-9.82703891636721
592127.0219493587988-6.02194935879878
603030.8889337127238-0.888933712723795
617683.5735570573734-7.57355705737338
6210190.00240874360710.997591256393
639489.94131304403324.05868695596678
642732.5813187732752-5.58131877327516
659267.970916714552824.0290832854472
6612396.300027302017426.6999726979826
677559.557593382265315.4424066177347
68128113.119434799514.8805652004997
6910564.655698686144540.3443013138555
705594.4719390599394-39.4719390599394
715678.9206234113342-22.9206234113342
724165.6166055973643-24.6166055973643
737253.526323462764118.4736765372359
746756.872480089403810.1275199105962
757580.3374009534081-5.33740095340806
7611474.863655191559339.1363448084407
7711846.477014395005471.5229856049946
787782.321571734461-5.32157173446099
792242.2586485926864-20.2586485926864
806684.1453527395464-18.1453527395464
816967.24579258921411.75420741078594
8210575.541697488930129.4583025110699
8311689.518931480874326.4810685191257
848882.44667298090215.55332701909786
857364.62325282797748.37674717202261
869964.704792624168934.2952073758311
876274.448147411369-12.448147411369
885357.918538712-4.91853871199998
89118113.2922586014894.707741398511
903066.1829966659012-36.1829966659012
9110053.628413197890846.3715868021092
924927.65606266823421.343937331766
932459.3502994272364-35.3502994272364
946745.163362548474821.8366374515252
954636.77807905948069.22192094051942
965787.0193117156023-30.0193117156023
9775102.152999920533-27.1529999205329
98135107.84969412414527.150305875855
996882.1235988514161-14.1235988514161
10012470.734139585918253.2658604140818
1013346.074494294944-13.074494294944
1029897.81993545064910.180064549350917
1035875.6961607167304-17.6961607167304
1046862.40217974035615.59782025964385
1058156.386354790960624.6136452090394
10613180.241557452339350.7584425476607
107110117.430879401352-7.43087940135228
1083739.7603783214044-2.76037832140442
10913090.344398776197739.6556012238023
1109391.37932526466371.62067473533627
11111886.8272424531331.17275754687
1123969.3077741979579-30.3077741979579
1131324.615118658485-11.615118658485
1147450.650951270178523.3490487298215
1158175.02785961120965.97214038879039
11610995.329278609499213.6707213905008
11715197.329420808674353.6705791913257
1185157.2994074854162-6.29940748541622
1192845.0575092830623-17.0575092830623
1204026.916643149237813.0833568507622
1215649.6452132168896.35478678311097
1222731.4724121125988-4.47241211259885
1233736.87294048067960.127059519320393
1248363.138158202467819.8618417975322
1255463.2932869585206-9.29328695852059
1262713.048293151322913.9517068486771
1272824.444046919263.55595308074003
1285941.127100623451217.8728993765488
12913394.265386527458438.7346134725416
13012-2.5866653409531414.5866653409531
13108.08098396888555-8.08098396888555
13210679.886044888493326.1139551115067
133237.4955421639429615.504457836057
1344462.6810652240904-18.6810652240904
1357167.65404778219923.34595221780078
136116102.93968495993713.0603150400626
1374-2.375031486049226.37503148604922
1386264.8121735529331-2.81217355293308
1391213.4632008473445-1.46320084734449
1401810.70945123327557.29054876672446
1411426.6574222378418-12.6574222378418
1426048.594328990801711.4056710091983
143734.5424184238595-27.5424184238595
1449892.57861240038115.42138759961893
1456478.2946157371065-14.2946157371065
1462933.6522610104324-4.65226101043236
1473258.5385926789956-26.5385926789956
1482549.5066870730565-24.5066870730565
1491613.20830141840852.79169858159146
1504869.6762888423616-21.6762888423616
151100108.619182643985-8.61918264398527
1524685.1801214243346-39.1801214243346
1534540.59611293473214.40388706526791
154129130.192326928476-1.19232692847632
15513091.631728276836638.3682717231634
156136122.9258431345913.0741568654095
1575966.0691633690883-7.06916336908832
1582520.78523810191124.21476189808875
1593255.3057688789322-23.3057688789322
1606372.7709731046319-9.77097310463188
16195124.321750756281-29.3217507562809
1621440.0627460810544-26.0627460810544
1633638.4802571831139-2.48025718311393
164113134.111775998997-21.1117759989974
1654766.6601938086381-19.6601938086381
1669272.838235465110719.1617645348893
1677063.30637294803036.69362705196973
1681960.0571226069434-41.0571226069434
1695033.117117160416316.8828828395837
1704159.3293755941248-18.3293755941248
17191115.115934453768-24.1159344537681
17211173.770600243582237.2293997564178
1734166.1020489918536-25.1020489918536
17412089.67740836759530.322591632405
17513572.790330850904662.2096691490954
1762749.9967825748416-22.9967825748416
1778794.8565291873278-7.85652918732781
1782535.8695431045014-10.8695431045014
17913190.024766933030840.9752330669692
1804525.058722070953819.9412779290462
1812917.970134454761511.0298655452385
1825843.50970641694114.490293583059
1834-6.4506710823004510.4506710823004
1844769.8918501497318-22.8918501497318
185109101.2239821382537.77601786174699
1867-7.2390345707135314.2390345707135
1871212.0859628954751-0.0859628954751252
1880-6.118631455698586.11863145569858
1893746.8486112660491-9.84861126604912
1903747.5583818536756-10.5583818536756
1914650.8999183834152-4.89991838341516
1921546.8890056920823-31.8890056920823
1934216.639271832828925.3607281671711
19475.85875339525581.1412466047442
1955457.7776209623292-3.77762096232918
1965430.049848670572423.9501513294276
1971444.2032551336135-30.2032551336135
1981621.2525539709382-5.25255397093819
1993350.8527922049886-17.8527922049886
2003227.18487398294654.8151260170535
2012124.4434301010007-3.44343010100072
2021526.5640750629364-11.5640750629364
2033838.5017807310503-0.501780731050254
2042233.8903178511726-11.8903178511726
2052841.8543039918151-13.8543039918151
2061031.2012719546362-21.2012719546362
2073130.37295142840020.627048571599811
2083250.347202637394-18.347202637394
2093242.2179494451849-10.2179494451849
2104354.1177690904243-11.1177690904243
2112715.699748992338911.3002510076611
2123735.65541853111661.3445814688834
2132025.146363313311-5.14636331331101
2143231.41973613110540.580263868894636
215042.2069178582716-42.2069178582716
216533.9284115221579-28.9284115221579
2172631.4700684154439-5.47006841544393
218107.313957640514022.68604235948598
2192723.13202039368333.86797960631672
2201126.4601310647158-15.4601310647158
2212943.1611576666327-14.1611576666328
2222538.5949359105765-13.5949359105765
2235543.779334807359111.2206651926409
2242328.2559653842646-5.25596538426457
225521.1969720318272-16.1969720318272
2264331.898547629700311.1014523702997
227238.2320485106391814.7679514893608
2283433.75839601553450.241603984465532
2293620.375792225202815.6242077747972
2303550.0339511102529-15.0339511102529
231022.7411286576581-22.7411286576581
2323726.664819603252610.3351803967474
2332843.7843137554203-15.7843137554203
2341622.4731048191579-6.47310481915793
2352638.0836878626993-12.0836878626993
2363826.178180992127511.8218190078725
2372346.977498867287-23.977498867287
2382228.1238651646233-6.12386516462329
2393031.5638537875263-1.56385378752626
2401626.8449795103839-10.8449795103839
2411831.0748202511126-13.0748202511126
2422843.5232722589338-15.5232722589338
2433223.29615036883088.70384963116924
2442121.8411405876348-0.841140587634836
2452325.0612226562738-2.06122265627383
2462939.5447248768635-10.5447248768635
2475037.84202035690912.157979643091
2481226.2372023060994-14.2372023060994
2492122.2053115105535-1.20531151055348
2501812.96226333845835.03773666154173
2512748.1254716149915-21.1254716149915
2524135.56133931326545.43866068673459
25313-8.6261758961658121.6261758961658
2541236.0623361485777-24.0623361485777
2552143.7959418202269-22.7959418202269
25685.860648071668522.13935192833148
2572611.946378430445914.0536215695541
2582729.4567896062754-2.45678960627538
2591318.429992609493-5.42999260949303
260168.969957629229377.03004237077063
261221.3354527949349-19.3354527949349
2624220.942144193177221.0578558068228
26354.639348111087340.360651888912655
2643722.973765771636314.0262342283637
2651723.2628653432836-6.26286534328356
2663828.46069744327679.5393025567233
2673733.2831622224223.71683777757804
2682916.68920931240312.310790687597
2693226.76775863190285.23224136809718
2703534.87682368731140.123176312688561
2711739.6116712320606-22.6116712320606
2722027.8065392982011-7.80653929820109
27371.698931473651425.30106852634858
2744631.214757890589714.7852421094103
2752415.97323689007958.02676310992046
2764028.239429496449311.7605705035507
277312.8449705001089-9.84497050010895
27810-7.2590015557633717.2590015557634
2793728.80627567161318.19372432838687
2801730.9668293767392-13.9668293767392
2812835.4572153692729-7.45721536927292
2821925.3237007892029-6.32370078920286
2832928.82472911142280.175270888577219
28481.336473537913186.66352646208682
2851028.2012721402467-18.2012721402467
2861528.0796936350788-13.0796936350788
2871518.5183413428722-3.51834134287216
2882822.02338208359835.97661791640173
2891734.9069401127737-17.9069401127737






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.2713912737112910.5427825474225830.728608726288709
110.3393046759807030.6786093519614050.660695324019297
120.6861818499371460.6276363001257080.313818150062854
130.576671080459580.8466578390808390.42332891954042
140.5736313304160890.8527373391678220.426368669583911
150.4736783775851490.9473567551702990.526321622414851
160.3912661822560060.7825323645120120.608733817743994
170.3408910660598940.6817821321197890.659108933940106
180.6204783696896380.7590432606207240.379521630310362
190.5704394149250710.8591211701498580.429560585074929
200.7046471066273990.5907057867452010.295352893372601
210.8409281860420390.3181436279159220.159071813957961
220.7990271692390360.4019456615219270.200972830760964
230.7681148908141460.4637702183717090.231885109185854
240.7195118096822320.5609763806355350.280488190317768
250.6597570525890570.6804858948218850.340242947410943
260.6434721421204960.7130557157590070.356527857879504
270.630364680230380.739270639539240.36963531976962
280.5684566737908140.8630866524183730.431543326209186
290.6004535695686230.7990928608627540.399546430431377
300.5805442575651050.8389114848697890.419455742434895
310.5371838116447180.9256323767105630.462816188355282
320.4792224947360440.9584449894720890.520777505263955
330.7353484253085190.5293031493829630.264651574691481
340.6921419207107230.6157161585785540.307858079289277
350.6644937386288650.6710125227422710.335506261371135
360.6121600402263310.7756799195473370.387839959773669
370.5625972301066160.8748055397867670.437402769893384
380.6009126689900740.7981746620198530.399087331009926
390.6266992867957920.7466014264084160.373300713204208
400.5932219698355770.8135560603288470.406778030164423
410.5485346927740090.9029306144519820.451465307225991
420.5196027967086360.9607944065827280.480397203291364
430.4712885488790940.9425770977581880.528711451120906
440.422170978634750.8443419572694990.57782902136525
450.3794422964571040.7588845929142080.620557703542896
460.3518887731352020.7037775462704040.648111226864798
470.3614177117716520.7228354235433040.638582288228348
480.3210562427655980.6421124855311970.678943757234402
490.2937593765468780.5875187530937550.706240623453122
500.3158220331221680.6316440662443360.684177966877832
510.2923720680548130.5847441361096270.707627931945187
520.2923405960377950.584681192075590.707659403962205
530.2538392252396190.5076784504792380.746160774760381
540.2197464499563770.4394928999127530.780253550043623
550.1873300397099130.3746600794198260.812669960290087
560.1602886224420430.3205772448840860.839711377557957
570.134245357611110.2684907152222210.86575464238889
580.1138442033006410.2276884066012830.886155796699359
590.09586754708814090.1917350941762820.904132452911859
600.07811285594725150.1562257118945030.921887144052748
610.06585394211038040.1317078842207610.93414605788962
620.05628897020658070.1125779404131610.943711029793419
630.04715576065539010.09431152131078030.95284423934461
640.03856284540324460.07712569080648910.961437154596755
650.04701588582277460.09403177164554910.952984114177225
660.06282777930755250.1256555586151050.937172220692447
670.06264866258019630.1252973251603930.937351337419804
680.05993754279694830.1198750855938970.940062457203052
690.124465253007670.248930506015340.87553474699233
700.2302592734299560.4605185468599110.769740726570044
710.2472318360770580.4944636721541160.752768163922942
720.2771763144681690.5543526289363380.722823685531831
730.2700200393755580.5400400787511150.729979960624442
740.2437397051810140.4874794103620290.756260294818986
750.216267931535360.432535863070720.78373206846464
760.3220361376308680.6440722752617350.677963862369132
770.7791248009899910.4417503980200170.220875199010009
780.7519009344430760.4961981311138480.248099065556924
790.762114799872870.475770400254260.23788520012713
800.7589952809303220.4820094381393560.241004719069678
810.7281897444431550.543620511113690.271810255556845
820.7620451801086990.4759096397826020.237954819891301
830.7856487087525920.4287025824948160.214351291247408
840.7585230355858990.4829539288282010.241476964414101
850.7325273498290740.5349453003418520.267472650170926
860.7860690063416410.4278619873167180.213930993658359
870.7742734538272750.451453092345450.225726546172725
880.7498438219899180.5003123560201650.250156178010082
890.7211677675116670.5576644649766670.278832232488333
900.800636937845070.3987261243098590.19936306215493
910.898542325249430.202915349501140.10145767475057
920.8970124517179850.2059750965640290.102987548282015
930.9333299560785260.1333400878429490.0666700439214744
940.9340071456624730.1319857086750530.0659928543375266
950.9235406343375080.1529187313249850.0764593656624924
960.9418309594591460.1163380810817080.0581690405408542
970.9539599507666750.09208009846665060.0460400492333253
980.9613054763539090.07738904729218180.0386945236460909
990.9585700442009020.08285991159819630.0414299557990982
1000.9884807116364250.02303857672715080.0115192883635754
1010.9871724978723790.02565500425524290.0128275021276214
1020.9839377940916890.03212441181662270.0160622059083113
1030.9832767361326420.03344652773471690.0167232638673584
1040.9796004687030020.04079906259399660.0203995312969983
1050.9810113385019260.03797732299614870.0189886614980743
1060.9946744730905080.01065105381898470.00532552690949234
1070.9932787551780910.01344248964381820.00672124482190912
1080.9916835769440930.01663284611181460.00831642305590728
1090.996567997996520.006864004006959840.00343200200347992
1100.995672520141430.008654959717140360.00432747985857018
1110.9971244574786660.005751085042667090.00287554252133354
1120.9981556577588740.003688684482252540.00184434224112627
1130.9978731948633450.004253610273309580.00212680513665479
1140.9980875135147010.003824972970597040.00191248648529852
1150.9975387759530820.004922448093836860.00246122404691843
1160.9972321846544490.005535630691101850.00276781534555092
1170.9996722623581150.0006554752837705830.000327737641885291
1180.9995756767339230.0008486465321545950.000424323266077298
1190.9995606197253280.0008787605493449420.000439380274672471
1200.999438152451230.001123695097540290.000561847548770146
1210.999272909416940.001454181166119520.000727090583059762
1220.9990724449806310.001855110038738570.000927555019369287
1230.9987675322530070.002464935493985460.00123246774699273
1240.9988753529058230.002249294188353920.00112464709417696
1250.9985997529071370.002800494185726360.00140024709286318
1260.9983902534349380.003219493130123840.00160974656506192
1270.9979075752321640.004184849535672110.00209242476783605
1280.9979138013123280.004172397375343080.00208619868767154
1290.9992411447269370.001517710546126250.000758855273063124
1300.9990749466249510.001850106750098250.000925053375049126
1310.9988536811088810.002292637782237460.00114631889111873
1320.9992680868557210.001463826288557630.000731913144278816
1330.9991262760806270.001747447838746650.000873723919373326
1340.9991301248437260.001739750312548980.000869875156274492
1350.9989005907199240.002198818560151420.00109940928007571
1360.9988844589767050.002231082046589490.00111554102329475
1370.9985503580332570.002899283933486410.00144964196674321
1380.9981130380641830.003773923871634620.00188696193581731
1390.9975874787592310.004825042481537710.00241252124076885
1400.9969175431563730.006164913687253520.00308245684362676
1410.9965337784158590.006932443168281920.00346622158414096
1420.9960514359497220.007897128100556750.00394856405027837
1430.9972432127862440.005513574427511350.00275678721375568
1440.9965861930415670.006827613916864950.00341380695843248
1450.9959647773659530.008070445268094080.00403522263404704
1460.9951650076984180.009669984603164490.00483499230158225
1470.9959299409320450.008140118135910940.00407005906795547
1480.9965686160891470.006862767821705970.00343138391085299
1490.9955748363660080.008850327267983490.00442516363399175
1500.9958111950285670.008377609942865990.00418880497143299
1510.994827144133890.01034571173222060.00517285586611031
1520.9973474346303020.005305130739396570.00265256536969829
1530.996721665724680.006556668550639140.00327833427531957
1540.9960254415864150.007949116827169310.00397455841358466
1550.9988472717317970.002305456536405640.00115272826820282
1560.9990324916993830.00193501660123390.000967508300616948
1570.9987569858005190.002486028398962190.0012430141994811
1580.9983543549789080.003291290042183420.00164564502109171
1590.9984841459561930.003031708087613550.00151585404380677
1600.998163901132590.003672197734819580.00183609886740979
1610.9984623079228750.003075384154250630.00153769207712532
1620.9990765976590440.001846804681912570.000923402340956283
1630.9987840530830220.002431893833956030.00121594691697801
1640.998636161509210.00272767698158050.00136383849079025
1650.9987786412824530.002442717435093780.00122135871754689
1660.9990137408780770.001972518243845650.000986259121922825
1670.9987216100677010.002556779864598420.00127838993229921
1680.9995676060618990.0008647878762020610.00043239393810103
1690.9995251669168720.0009496661662563590.00047483308312818
1700.9994818091999840.001036381600032340.000518190800016168
1710.999554050490010.000891899019979070.000445949509989535
1720.999896532722880.0002069345542405130.000103467277120256
1730.9999229170769260.0001541658461478187.70829230739091e-05
1740.9999615753613487.68492773045662e-053.84246386522831e-05
1750.9999999882812292.34375417655215e-081.17187708827608e-08
1760.9999999914426261.71147485275821e-088.55737426379105e-09
1770.9999999865177612.69644771200453e-081.34822385600227e-08
1780.9999999791373024.17253967697826e-082.08626983848913e-08
1790.9999999999948981.02044613946246e-115.10223069731229e-12
1800.9999999999950629.87664089610906e-124.93832044805453e-12
1810.9999999999909141.81728250230455e-119.08641251152274e-12
1820.9999999999920071.59864066416831e-117.99320332084155e-12
1830.9999999999847783.04437581204789e-111.52218790602394e-11
1840.9999999999774714.50580303466692e-112.25290151733346e-11
1850.9999999999996886.22965689520549e-133.11482844760275e-13
1860.9999999999993861.22784868861413e-126.13924344307065e-13
1870.9999999999989942.01144901216118e-121.00572450608059e-12
1880.9999999999983673.26548481672149e-121.63274240836075e-12
1890.9999999999969196.16132360598041e-123.0806618029902e-12
1900.9999999999957198.56141096753345e-124.28070548376673e-12
1910.9999999999950359.93002169046542e-124.96501084523271e-12
1920.9999999999978114.37706360727612e-122.18853180363806e-12
1930.9999999999981163.76900460596873e-121.88450230298437e-12
1940.9999999999975634.87359297074635e-122.43679648537317e-12
1950.9999999999984733.05408778280323e-121.52704389140161e-12
1960.9999999999996137.74607732562483e-133.87303866281241e-13
1970.9999999999997185.63925832532523e-132.81962916266262e-13
1980.9999999999994131.17485941772324e-125.87429708861621e-13
1990.9999999999989312.13762453757436e-121.06881226878718e-12
2000.9999999999985072.98636429271717e-121.49318214635859e-12
2010.9999999999969156.1697934553261e-123.08489672766305e-12
2020.9999999999944381.11239912316593e-115.56199561582964e-12
2030.999999999988822.23591925497356e-111.11795962748678e-11
2040.9999999999826373.47267071282968e-111.73633535641484e-11
2050.999999999972865.42796171812559e-112.71398085906279e-11
2060.9999999999661036.77939609410034e-113.38969804705017e-11
2070.9999999999390821.21836552861165e-106.09182764305825e-11
2080.9999999999113351.77329151687419e-108.86645758437093e-11
2090.9999999998268833.4623359387831e-101.73116796939155e-10
2100.9999999997999584.00083377726729e-102.00041688863364e-10
2110.9999999996281747.43651680103173e-103.71825840051586e-10
2120.9999999994531241.09375105799999e-095.46875528999997e-10
2130.9999999989255842.14883219873207e-091.07441609936604e-09
2140.9999999985833782.8332431155843e-091.41662155779215e-09
2150.9999999996721316.55738438756579e-103.2786921937829e-10
2160.9999999998085993.82802419574434e-101.91401209787217e-10
2170.999999999613077.73860653180762e-103.86930326590381e-10
2180.9999999995775938.44813354883825e-104.22406677441912e-10
2190.999999999191971.61605936502979e-098.08029682514894e-10
2200.9999999987893792.42124130189048e-091.21062065094524e-09
2210.999999997736374.5272591929126e-092.2636295964563e-09
2220.9999999969136466.17270727096654e-093.08635363548327e-09
2230.9999999961628977.67420660916337e-093.83710330458168e-09
2240.9999999924034661.51930672101923e-087.59653360509615e-09
2250.9999999913268721.73462568239281e-088.67312841196407e-09
2260.9999999851735482.96529039402242e-081.48264519701121e-08
2270.9999999731105615.37788777222534e-082.68894388611267e-08
2280.9999999573088678.53822661214824e-084.26911330607412e-08
2290.9999999369289571.26142085931909e-076.30710429659545e-08
2300.9999998854180062.29163988262951e-071.14581994131476e-07
2310.9999999636688217.26623571054395e-083.63311785527197e-08
2320.9999999601344677.97310653410242e-083.98655326705121e-08
2330.9999999227398251.54520350756101e-077.72601753780504e-08
2340.9999998805073512.38985298352307e-071.19492649176153e-07
2350.9999997813610974.37277806218864e-072.18638903109432e-07
2360.9999997941647034.11670594556913e-072.05835297278456e-07
2370.9999996596366086.80726783300562e-073.40363391650281e-07
2380.9999993274465381.34510692387702e-066.72553461938512e-07
2390.99999868064332.63871339934584e-061.31935669967292e-06
2400.999997776601074.44679785939561e-062.2233989296978e-06
2410.9999964614293297.07714134222491e-063.53857067111245e-06
2420.9999935432994191.29134011623012e-056.45670058115059e-06
2430.9999911344120261.77311759479444e-058.8655879739722e-06
2440.9999832939009293.34121981424593e-051.67060990712296e-05
2450.9999690280082876.19439834250626e-053.09719917125313e-05
2460.9999439487808960.0001121024382072275.60512191036137e-05
2470.9999709204245685.8159150863698e-052.9079575431849e-05
2480.9999596558879488.06882241044552e-054.03441120522276e-05
2490.9999250000099560.0001499999800885587.49999900442792e-05
2500.999869220519050.0002615589619005610.000130779480950281
2510.9998055798571430.0003888402857130960.000194420142856548
2520.9997439227197160.0005121545605683570.000256077280284179
2530.9996025122311340.0007949755377311360.000397487768865568
2540.9997699277367080.0004601445265831290.000230072263291565
2550.9996919623707380.0006160752585247950.000308037629262397
2560.9994439553432190.001112089313562330.000556044656781163
2570.9993457359143320.001308528171336520.000654264085668259
2580.998816317679170.002367364641660540.00118368232083027
2590.9983450304374850.003309939125029710.00165496956251485
2600.9971013904868450.005797219026310220.00289860951315511
2610.998300458032740.003399083934519050.00169954196725952
2620.9986717298790710.002656540241857710.00132827012092885
2630.9979029862390180.004194027521964270.00209701376098214
2640.9984404514961670.003119097007665120.00155954850383256
2650.9975113439483840.004977312103231290.00248865605161565
2660.9975563901791860.004887219641628730.00244360982081437
2670.9965348124339090.006930375132181460.00346518756609073
2680.9940809380723460.01183812385530890.00591906192765444
2690.9924133340058580.01517333198828420.0075866659941421
2700.987469724606780.025060550786440.01253027539322
2710.9991468215519230.001706356896154260.000853178448077131
2720.9979386188679170.004122762264166610.0020613811320833
2730.9977972548354720.004405490329055170.00220274516452758
2740.9945499049088380.01090019018232380.00545009509116192
2750.9950960602122490.009807879575502680.00490393978775134
2760.9885813491376810.02283730172463780.0114186508623189
2770.9955631174829240.008873765034152380.00443688251707619
2780.9939446232663930.01211075346721390.00605537673360696
2790.9819885497986010.03602290040279880.0180114502013994

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
10 & 0.271391273711291 & 0.542782547422583 & 0.728608726288709 \tabularnewline
11 & 0.339304675980703 & 0.678609351961405 & 0.660695324019297 \tabularnewline
12 & 0.686181849937146 & 0.627636300125708 & 0.313818150062854 \tabularnewline
13 & 0.57667108045958 & 0.846657839080839 & 0.42332891954042 \tabularnewline
14 & 0.573631330416089 & 0.852737339167822 & 0.426368669583911 \tabularnewline
15 & 0.473678377585149 & 0.947356755170299 & 0.526321622414851 \tabularnewline
16 & 0.391266182256006 & 0.782532364512012 & 0.608733817743994 \tabularnewline
17 & 0.340891066059894 & 0.681782132119789 & 0.659108933940106 \tabularnewline
18 & 0.620478369689638 & 0.759043260620724 & 0.379521630310362 \tabularnewline
19 & 0.570439414925071 & 0.859121170149858 & 0.429560585074929 \tabularnewline
20 & 0.704647106627399 & 0.590705786745201 & 0.295352893372601 \tabularnewline
21 & 0.840928186042039 & 0.318143627915922 & 0.159071813957961 \tabularnewline
22 & 0.799027169239036 & 0.401945661521927 & 0.200972830760964 \tabularnewline
23 & 0.768114890814146 & 0.463770218371709 & 0.231885109185854 \tabularnewline
24 & 0.719511809682232 & 0.560976380635535 & 0.280488190317768 \tabularnewline
25 & 0.659757052589057 & 0.680485894821885 & 0.340242947410943 \tabularnewline
26 & 0.643472142120496 & 0.713055715759007 & 0.356527857879504 \tabularnewline
27 & 0.63036468023038 & 0.73927063953924 & 0.36963531976962 \tabularnewline
28 & 0.568456673790814 & 0.863086652418373 & 0.431543326209186 \tabularnewline
29 & 0.600453569568623 & 0.799092860862754 & 0.399546430431377 \tabularnewline
30 & 0.580544257565105 & 0.838911484869789 & 0.419455742434895 \tabularnewline
31 & 0.537183811644718 & 0.925632376710563 & 0.462816188355282 \tabularnewline
32 & 0.479222494736044 & 0.958444989472089 & 0.520777505263955 \tabularnewline
33 & 0.735348425308519 & 0.529303149382963 & 0.264651574691481 \tabularnewline
34 & 0.692141920710723 & 0.615716158578554 & 0.307858079289277 \tabularnewline
35 & 0.664493738628865 & 0.671012522742271 & 0.335506261371135 \tabularnewline
36 & 0.612160040226331 & 0.775679919547337 & 0.387839959773669 \tabularnewline
37 & 0.562597230106616 & 0.874805539786767 & 0.437402769893384 \tabularnewline
38 & 0.600912668990074 & 0.798174662019853 & 0.399087331009926 \tabularnewline
39 & 0.626699286795792 & 0.746601426408416 & 0.373300713204208 \tabularnewline
40 & 0.593221969835577 & 0.813556060328847 & 0.406778030164423 \tabularnewline
41 & 0.548534692774009 & 0.902930614451982 & 0.451465307225991 \tabularnewline
42 & 0.519602796708636 & 0.960794406582728 & 0.480397203291364 \tabularnewline
43 & 0.471288548879094 & 0.942577097758188 & 0.528711451120906 \tabularnewline
44 & 0.42217097863475 & 0.844341957269499 & 0.57782902136525 \tabularnewline
45 & 0.379442296457104 & 0.758884592914208 & 0.620557703542896 \tabularnewline
46 & 0.351888773135202 & 0.703777546270404 & 0.648111226864798 \tabularnewline
47 & 0.361417711771652 & 0.722835423543304 & 0.638582288228348 \tabularnewline
48 & 0.321056242765598 & 0.642112485531197 & 0.678943757234402 \tabularnewline
49 & 0.293759376546878 & 0.587518753093755 & 0.706240623453122 \tabularnewline
50 & 0.315822033122168 & 0.631644066244336 & 0.684177966877832 \tabularnewline
51 & 0.292372068054813 & 0.584744136109627 & 0.707627931945187 \tabularnewline
52 & 0.292340596037795 & 0.58468119207559 & 0.707659403962205 \tabularnewline
53 & 0.253839225239619 & 0.507678450479238 & 0.746160774760381 \tabularnewline
54 & 0.219746449956377 & 0.439492899912753 & 0.780253550043623 \tabularnewline
55 & 0.187330039709913 & 0.374660079419826 & 0.812669960290087 \tabularnewline
56 & 0.160288622442043 & 0.320577244884086 & 0.839711377557957 \tabularnewline
57 & 0.13424535761111 & 0.268490715222221 & 0.86575464238889 \tabularnewline
58 & 0.113844203300641 & 0.227688406601283 & 0.886155796699359 \tabularnewline
59 & 0.0958675470881409 & 0.191735094176282 & 0.904132452911859 \tabularnewline
60 & 0.0781128559472515 & 0.156225711894503 & 0.921887144052748 \tabularnewline
61 & 0.0658539421103804 & 0.131707884220761 & 0.93414605788962 \tabularnewline
62 & 0.0562889702065807 & 0.112577940413161 & 0.943711029793419 \tabularnewline
63 & 0.0471557606553901 & 0.0943115213107803 & 0.95284423934461 \tabularnewline
64 & 0.0385628454032446 & 0.0771256908064891 & 0.961437154596755 \tabularnewline
65 & 0.0470158858227746 & 0.0940317716455491 & 0.952984114177225 \tabularnewline
66 & 0.0628277793075525 & 0.125655558615105 & 0.937172220692447 \tabularnewline
67 & 0.0626486625801963 & 0.125297325160393 & 0.937351337419804 \tabularnewline
68 & 0.0599375427969483 & 0.119875085593897 & 0.940062457203052 \tabularnewline
69 & 0.12446525300767 & 0.24893050601534 & 0.87553474699233 \tabularnewline
70 & 0.230259273429956 & 0.460518546859911 & 0.769740726570044 \tabularnewline
71 & 0.247231836077058 & 0.494463672154116 & 0.752768163922942 \tabularnewline
72 & 0.277176314468169 & 0.554352628936338 & 0.722823685531831 \tabularnewline
73 & 0.270020039375558 & 0.540040078751115 & 0.729979960624442 \tabularnewline
74 & 0.243739705181014 & 0.487479410362029 & 0.756260294818986 \tabularnewline
75 & 0.21626793153536 & 0.43253586307072 & 0.78373206846464 \tabularnewline
76 & 0.322036137630868 & 0.644072275261735 & 0.677963862369132 \tabularnewline
77 & 0.779124800989991 & 0.441750398020017 & 0.220875199010009 \tabularnewline
78 & 0.751900934443076 & 0.496198131113848 & 0.248099065556924 \tabularnewline
79 & 0.76211479987287 & 0.47577040025426 & 0.23788520012713 \tabularnewline
80 & 0.758995280930322 & 0.482009438139356 & 0.241004719069678 \tabularnewline
81 & 0.728189744443155 & 0.54362051111369 & 0.271810255556845 \tabularnewline
82 & 0.762045180108699 & 0.475909639782602 & 0.237954819891301 \tabularnewline
83 & 0.785648708752592 & 0.428702582494816 & 0.214351291247408 \tabularnewline
84 & 0.758523035585899 & 0.482953928828201 & 0.241476964414101 \tabularnewline
85 & 0.732527349829074 & 0.534945300341852 & 0.267472650170926 \tabularnewline
86 & 0.786069006341641 & 0.427861987316718 & 0.213930993658359 \tabularnewline
87 & 0.774273453827275 & 0.45145309234545 & 0.225726546172725 \tabularnewline
88 & 0.749843821989918 & 0.500312356020165 & 0.250156178010082 \tabularnewline
89 & 0.721167767511667 & 0.557664464976667 & 0.278832232488333 \tabularnewline
90 & 0.80063693784507 & 0.398726124309859 & 0.19936306215493 \tabularnewline
91 & 0.89854232524943 & 0.20291534950114 & 0.10145767475057 \tabularnewline
92 & 0.897012451717985 & 0.205975096564029 & 0.102987548282015 \tabularnewline
93 & 0.933329956078526 & 0.133340087842949 & 0.0666700439214744 \tabularnewline
94 & 0.934007145662473 & 0.131985708675053 & 0.0659928543375266 \tabularnewline
95 & 0.923540634337508 & 0.152918731324985 & 0.0764593656624924 \tabularnewline
96 & 0.941830959459146 & 0.116338081081708 & 0.0581690405408542 \tabularnewline
97 & 0.953959950766675 & 0.0920800984666506 & 0.0460400492333253 \tabularnewline
98 & 0.961305476353909 & 0.0773890472921818 & 0.0386945236460909 \tabularnewline
99 & 0.958570044200902 & 0.0828599115981963 & 0.0414299557990982 \tabularnewline
100 & 0.988480711636425 & 0.0230385767271508 & 0.0115192883635754 \tabularnewline
101 & 0.987172497872379 & 0.0256550042552429 & 0.0128275021276214 \tabularnewline
102 & 0.983937794091689 & 0.0321244118166227 & 0.0160622059083113 \tabularnewline
103 & 0.983276736132642 & 0.0334465277347169 & 0.0167232638673584 \tabularnewline
104 & 0.979600468703002 & 0.0407990625939966 & 0.0203995312969983 \tabularnewline
105 & 0.981011338501926 & 0.0379773229961487 & 0.0189886614980743 \tabularnewline
106 & 0.994674473090508 & 0.0106510538189847 & 0.00532552690949234 \tabularnewline
107 & 0.993278755178091 & 0.0134424896438182 & 0.00672124482190912 \tabularnewline
108 & 0.991683576944093 & 0.0166328461118146 & 0.00831642305590728 \tabularnewline
109 & 0.99656799799652 & 0.00686400400695984 & 0.00343200200347992 \tabularnewline
110 & 0.99567252014143 & 0.00865495971714036 & 0.00432747985857018 \tabularnewline
111 & 0.997124457478666 & 0.00575108504266709 & 0.00287554252133354 \tabularnewline
112 & 0.998155657758874 & 0.00368868448225254 & 0.00184434224112627 \tabularnewline
113 & 0.997873194863345 & 0.00425361027330958 & 0.00212680513665479 \tabularnewline
114 & 0.998087513514701 & 0.00382497297059704 & 0.00191248648529852 \tabularnewline
115 & 0.997538775953082 & 0.00492244809383686 & 0.00246122404691843 \tabularnewline
116 & 0.997232184654449 & 0.00553563069110185 & 0.00276781534555092 \tabularnewline
117 & 0.999672262358115 & 0.000655475283770583 & 0.000327737641885291 \tabularnewline
118 & 0.999575676733923 & 0.000848646532154595 & 0.000424323266077298 \tabularnewline
119 & 0.999560619725328 & 0.000878760549344942 & 0.000439380274672471 \tabularnewline
120 & 0.99943815245123 & 0.00112369509754029 & 0.000561847548770146 \tabularnewline
121 & 0.99927290941694 & 0.00145418116611952 & 0.000727090583059762 \tabularnewline
122 & 0.999072444980631 & 0.00185511003873857 & 0.000927555019369287 \tabularnewline
123 & 0.998767532253007 & 0.00246493549398546 & 0.00123246774699273 \tabularnewline
124 & 0.998875352905823 & 0.00224929418835392 & 0.00112464709417696 \tabularnewline
125 & 0.998599752907137 & 0.00280049418572636 & 0.00140024709286318 \tabularnewline
126 & 0.998390253434938 & 0.00321949313012384 & 0.00160974656506192 \tabularnewline
127 & 0.997907575232164 & 0.00418484953567211 & 0.00209242476783605 \tabularnewline
128 & 0.997913801312328 & 0.00417239737534308 & 0.00208619868767154 \tabularnewline
129 & 0.999241144726937 & 0.00151771054612625 & 0.000758855273063124 \tabularnewline
130 & 0.999074946624951 & 0.00185010675009825 & 0.000925053375049126 \tabularnewline
131 & 0.998853681108881 & 0.00229263778223746 & 0.00114631889111873 \tabularnewline
132 & 0.999268086855721 & 0.00146382628855763 & 0.000731913144278816 \tabularnewline
133 & 0.999126276080627 & 0.00174744783874665 & 0.000873723919373326 \tabularnewline
134 & 0.999130124843726 & 0.00173975031254898 & 0.000869875156274492 \tabularnewline
135 & 0.998900590719924 & 0.00219881856015142 & 0.00109940928007571 \tabularnewline
136 & 0.998884458976705 & 0.00223108204658949 & 0.00111554102329475 \tabularnewline
137 & 0.998550358033257 & 0.00289928393348641 & 0.00144964196674321 \tabularnewline
138 & 0.998113038064183 & 0.00377392387163462 & 0.00188696193581731 \tabularnewline
139 & 0.997587478759231 & 0.00482504248153771 & 0.00241252124076885 \tabularnewline
140 & 0.996917543156373 & 0.00616491368725352 & 0.00308245684362676 \tabularnewline
141 & 0.996533778415859 & 0.00693244316828192 & 0.00346622158414096 \tabularnewline
142 & 0.996051435949722 & 0.00789712810055675 & 0.00394856405027837 \tabularnewline
143 & 0.997243212786244 & 0.00551357442751135 & 0.00275678721375568 \tabularnewline
144 & 0.996586193041567 & 0.00682761391686495 & 0.00341380695843248 \tabularnewline
145 & 0.995964777365953 & 0.00807044526809408 & 0.00403522263404704 \tabularnewline
146 & 0.995165007698418 & 0.00966998460316449 & 0.00483499230158225 \tabularnewline
147 & 0.995929940932045 & 0.00814011813591094 & 0.00407005906795547 \tabularnewline
148 & 0.996568616089147 & 0.00686276782170597 & 0.00343138391085299 \tabularnewline
149 & 0.995574836366008 & 0.00885032726798349 & 0.00442516363399175 \tabularnewline
150 & 0.995811195028567 & 0.00837760994286599 & 0.00418880497143299 \tabularnewline
151 & 0.99482714413389 & 0.0103457117322206 & 0.00517285586611031 \tabularnewline
152 & 0.997347434630302 & 0.00530513073939657 & 0.00265256536969829 \tabularnewline
153 & 0.99672166572468 & 0.00655666855063914 & 0.00327833427531957 \tabularnewline
154 & 0.996025441586415 & 0.00794911682716931 & 0.00397455841358466 \tabularnewline
155 & 0.998847271731797 & 0.00230545653640564 & 0.00115272826820282 \tabularnewline
156 & 0.999032491699383 & 0.0019350166012339 & 0.000967508300616948 \tabularnewline
157 & 0.998756985800519 & 0.00248602839896219 & 0.0012430141994811 \tabularnewline
158 & 0.998354354978908 & 0.00329129004218342 & 0.00164564502109171 \tabularnewline
159 & 0.998484145956193 & 0.00303170808761355 & 0.00151585404380677 \tabularnewline
160 & 0.99816390113259 & 0.00367219773481958 & 0.00183609886740979 \tabularnewline
161 & 0.998462307922875 & 0.00307538415425063 & 0.00153769207712532 \tabularnewline
162 & 0.999076597659044 & 0.00184680468191257 & 0.000923402340956283 \tabularnewline
163 & 0.998784053083022 & 0.00243189383395603 & 0.00121594691697801 \tabularnewline
164 & 0.99863616150921 & 0.0027276769815805 & 0.00136383849079025 \tabularnewline
165 & 0.998778641282453 & 0.00244271743509378 & 0.00122135871754689 \tabularnewline
166 & 0.999013740878077 & 0.00197251824384565 & 0.000986259121922825 \tabularnewline
167 & 0.998721610067701 & 0.00255677986459842 & 0.00127838993229921 \tabularnewline
168 & 0.999567606061899 & 0.000864787876202061 & 0.00043239393810103 \tabularnewline
169 & 0.999525166916872 & 0.000949666166256359 & 0.00047483308312818 \tabularnewline
170 & 0.999481809199984 & 0.00103638160003234 & 0.000518190800016168 \tabularnewline
171 & 0.99955405049001 & 0.00089189901997907 & 0.000445949509989535 \tabularnewline
172 & 0.99989653272288 & 0.000206934554240513 & 0.000103467277120256 \tabularnewline
173 & 0.999922917076926 & 0.000154165846147818 & 7.70829230739091e-05 \tabularnewline
174 & 0.999961575361348 & 7.68492773045662e-05 & 3.84246386522831e-05 \tabularnewline
175 & 0.999999988281229 & 2.34375417655215e-08 & 1.17187708827608e-08 \tabularnewline
176 & 0.999999991442626 & 1.71147485275821e-08 & 8.55737426379105e-09 \tabularnewline
177 & 0.999999986517761 & 2.69644771200453e-08 & 1.34822385600227e-08 \tabularnewline
178 & 0.999999979137302 & 4.17253967697826e-08 & 2.08626983848913e-08 \tabularnewline
179 & 0.999999999994898 & 1.02044613946246e-11 & 5.10223069731229e-12 \tabularnewline
180 & 0.999999999995062 & 9.87664089610906e-12 & 4.93832044805453e-12 \tabularnewline
181 & 0.999999999990914 & 1.81728250230455e-11 & 9.08641251152274e-12 \tabularnewline
182 & 0.999999999992007 & 1.59864066416831e-11 & 7.99320332084155e-12 \tabularnewline
183 & 0.999999999984778 & 3.04437581204789e-11 & 1.52218790602394e-11 \tabularnewline
184 & 0.999999999977471 & 4.50580303466692e-11 & 2.25290151733346e-11 \tabularnewline
185 & 0.999999999999688 & 6.22965689520549e-13 & 3.11482844760275e-13 \tabularnewline
186 & 0.999999999999386 & 1.22784868861413e-12 & 6.13924344307065e-13 \tabularnewline
187 & 0.999999999998994 & 2.01144901216118e-12 & 1.00572450608059e-12 \tabularnewline
188 & 0.999999999998367 & 3.26548481672149e-12 & 1.63274240836075e-12 \tabularnewline
189 & 0.999999999996919 & 6.16132360598041e-12 & 3.0806618029902e-12 \tabularnewline
190 & 0.999999999995719 & 8.56141096753345e-12 & 4.28070548376673e-12 \tabularnewline
191 & 0.999999999995035 & 9.93002169046542e-12 & 4.96501084523271e-12 \tabularnewline
192 & 0.999999999997811 & 4.37706360727612e-12 & 2.18853180363806e-12 \tabularnewline
193 & 0.999999999998116 & 3.76900460596873e-12 & 1.88450230298437e-12 \tabularnewline
194 & 0.999999999997563 & 4.87359297074635e-12 & 2.43679648537317e-12 \tabularnewline
195 & 0.999999999998473 & 3.05408778280323e-12 & 1.52704389140161e-12 \tabularnewline
196 & 0.999999999999613 & 7.74607732562483e-13 & 3.87303866281241e-13 \tabularnewline
197 & 0.999999999999718 & 5.63925832532523e-13 & 2.81962916266262e-13 \tabularnewline
198 & 0.999999999999413 & 1.17485941772324e-12 & 5.87429708861621e-13 \tabularnewline
199 & 0.999999999998931 & 2.13762453757436e-12 & 1.06881226878718e-12 \tabularnewline
200 & 0.999999999998507 & 2.98636429271717e-12 & 1.49318214635859e-12 \tabularnewline
201 & 0.999999999996915 & 6.1697934553261e-12 & 3.08489672766305e-12 \tabularnewline
202 & 0.999999999994438 & 1.11239912316593e-11 & 5.56199561582964e-12 \tabularnewline
203 & 0.99999999998882 & 2.23591925497356e-11 & 1.11795962748678e-11 \tabularnewline
204 & 0.999999999982637 & 3.47267071282968e-11 & 1.73633535641484e-11 \tabularnewline
205 & 0.99999999997286 & 5.42796171812559e-11 & 2.71398085906279e-11 \tabularnewline
206 & 0.999999999966103 & 6.77939609410034e-11 & 3.38969804705017e-11 \tabularnewline
207 & 0.999999999939082 & 1.21836552861165e-10 & 6.09182764305825e-11 \tabularnewline
208 & 0.999999999911335 & 1.77329151687419e-10 & 8.86645758437093e-11 \tabularnewline
209 & 0.999999999826883 & 3.4623359387831e-10 & 1.73116796939155e-10 \tabularnewline
210 & 0.999999999799958 & 4.00083377726729e-10 & 2.00041688863364e-10 \tabularnewline
211 & 0.999999999628174 & 7.43651680103173e-10 & 3.71825840051586e-10 \tabularnewline
212 & 0.999999999453124 & 1.09375105799999e-09 & 5.46875528999997e-10 \tabularnewline
213 & 0.999999998925584 & 2.14883219873207e-09 & 1.07441609936604e-09 \tabularnewline
214 & 0.999999998583378 & 2.8332431155843e-09 & 1.41662155779215e-09 \tabularnewline
215 & 0.999999999672131 & 6.55738438756579e-10 & 3.2786921937829e-10 \tabularnewline
216 & 0.999999999808599 & 3.82802419574434e-10 & 1.91401209787217e-10 \tabularnewline
217 & 0.99999999961307 & 7.73860653180762e-10 & 3.86930326590381e-10 \tabularnewline
218 & 0.999999999577593 & 8.44813354883825e-10 & 4.22406677441912e-10 \tabularnewline
219 & 0.99999999919197 & 1.61605936502979e-09 & 8.08029682514894e-10 \tabularnewline
220 & 0.999999998789379 & 2.42124130189048e-09 & 1.21062065094524e-09 \tabularnewline
221 & 0.99999999773637 & 4.5272591929126e-09 & 2.2636295964563e-09 \tabularnewline
222 & 0.999999996913646 & 6.17270727096654e-09 & 3.08635363548327e-09 \tabularnewline
223 & 0.999999996162897 & 7.67420660916337e-09 & 3.83710330458168e-09 \tabularnewline
224 & 0.999999992403466 & 1.51930672101923e-08 & 7.59653360509615e-09 \tabularnewline
225 & 0.999999991326872 & 1.73462568239281e-08 & 8.67312841196407e-09 \tabularnewline
226 & 0.999999985173548 & 2.96529039402242e-08 & 1.48264519701121e-08 \tabularnewline
227 & 0.999999973110561 & 5.37788777222534e-08 & 2.68894388611267e-08 \tabularnewline
228 & 0.999999957308867 & 8.53822661214824e-08 & 4.26911330607412e-08 \tabularnewline
229 & 0.999999936928957 & 1.26142085931909e-07 & 6.30710429659545e-08 \tabularnewline
230 & 0.999999885418006 & 2.29163988262951e-07 & 1.14581994131476e-07 \tabularnewline
231 & 0.999999963668821 & 7.26623571054395e-08 & 3.63311785527197e-08 \tabularnewline
232 & 0.999999960134467 & 7.97310653410242e-08 & 3.98655326705121e-08 \tabularnewline
233 & 0.999999922739825 & 1.54520350756101e-07 & 7.72601753780504e-08 \tabularnewline
234 & 0.999999880507351 & 2.38985298352307e-07 & 1.19492649176153e-07 \tabularnewline
235 & 0.999999781361097 & 4.37277806218864e-07 & 2.18638903109432e-07 \tabularnewline
236 & 0.999999794164703 & 4.11670594556913e-07 & 2.05835297278456e-07 \tabularnewline
237 & 0.999999659636608 & 6.80726783300562e-07 & 3.40363391650281e-07 \tabularnewline
238 & 0.999999327446538 & 1.34510692387702e-06 & 6.72553461938512e-07 \tabularnewline
239 & 0.9999986806433 & 2.63871339934584e-06 & 1.31935669967292e-06 \tabularnewline
240 & 0.99999777660107 & 4.44679785939561e-06 & 2.2233989296978e-06 \tabularnewline
241 & 0.999996461429329 & 7.07714134222491e-06 & 3.53857067111245e-06 \tabularnewline
242 & 0.999993543299419 & 1.29134011623012e-05 & 6.45670058115059e-06 \tabularnewline
243 & 0.999991134412026 & 1.77311759479444e-05 & 8.8655879739722e-06 \tabularnewline
244 & 0.999983293900929 & 3.34121981424593e-05 & 1.67060990712296e-05 \tabularnewline
245 & 0.999969028008287 & 6.19439834250626e-05 & 3.09719917125313e-05 \tabularnewline
246 & 0.999943948780896 & 0.000112102438207227 & 5.60512191036137e-05 \tabularnewline
247 & 0.999970920424568 & 5.8159150863698e-05 & 2.9079575431849e-05 \tabularnewline
248 & 0.999959655887948 & 8.06882241044552e-05 & 4.03441120522276e-05 \tabularnewline
249 & 0.999925000009956 & 0.000149999980088558 & 7.49999900442792e-05 \tabularnewline
250 & 0.99986922051905 & 0.000261558961900561 & 0.000130779480950281 \tabularnewline
251 & 0.999805579857143 & 0.000388840285713096 & 0.000194420142856548 \tabularnewline
252 & 0.999743922719716 & 0.000512154560568357 & 0.000256077280284179 \tabularnewline
253 & 0.999602512231134 & 0.000794975537731136 & 0.000397487768865568 \tabularnewline
254 & 0.999769927736708 & 0.000460144526583129 & 0.000230072263291565 \tabularnewline
255 & 0.999691962370738 & 0.000616075258524795 & 0.000308037629262397 \tabularnewline
256 & 0.999443955343219 & 0.00111208931356233 & 0.000556044656781163 \tabularnewline
257 & 0.999345735914332 & 0.00130852817133652 & 0.000654264085668259 \tabularnewline
258 & 0.99881631767917 & 0.00236736464166054 & 0.00118368232083027 \tabularnewline
259 & 0.998345030437485 & 0.00330993912502971 & 0.00165496956251485 \tabularnewline
260 & 0.997101390486845 & 0.00579721902631022 & 0.00289860951315511 \tabularnewline
261 & 0.99830045803274 & 0.00339908393451905 & 0.00169954196725952 \tabularnewline
262 & 0.998671729879071 & 0.00265654024185771 & 0.00132827012092885 \tabularnewline
263 & 0.997902986239018 & 0.00419402752196427 & 0.00209701376098214 \tabularnewline
264 & 0.998440451496167 & 0.00311909700766512 & 0.00155954850383256 \tabularnewline
265 & 0.997511343948384 & 0.00497731210323129 & 0.00248865605161565 \tabularnewline
266 & 0.997556390179186 & 0.00488721964162873 & 0.00244360982081437 \tabularnewline
267 & 0.996534812433909 & 0.00693037513218146 & 0.00346518756609073 \tabularnewline
268 & 0.994080938072346 & 0.0118381238553089 & 0.00591906192765444 \tabularnewline
269 & 0.992413334005858 & 0.0151733319882842 & 0.0075866659941421 \tabularnewline
270 & 0.98746972460678 & 0.02506055078644 & 0.01253027539322 \tabularnewline
271 & 0.999146821551923 & 0.00170635689615426 & 0.000853178448077131 \tabularnewline
272 & 0.997938618867917 & 0.00412276226416661 & 0.0020613811320833 \tabularnewline
273 & 0.997797254835472 & 0.00440549032905517 & 0.00220274516452758 \tabularnewline
274 & 0.994549904908838 & 0.0109001901823238 & 0.00545009509116192 \tabularnewline
275 & 0.995096060212249 & 0.00980787957550268 & 0.00490393978775134 \tabularnewline
276 & 0.988581349137681 & 0.0228373017246378 & 0.0114186508623189 \tabularnewline
277 & 0.995563117482924 & 0.00887376503415238 & 0.00443688251707619 \tabularnewline
278 & 0.993944623266393 & 0.0121107534672139 & 0.00605537673360696 \tabularnewline
279 & 0.981988549798601 & 0.0360229004027988 & 0.0180114502013994 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197155&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]0.271391273711291[/C][C]0.542782547422583[/C][C]0.728608726288709[/C][/ROW]
[ROW][C]11[/C][C]0.339304675980703[/C][C]0.678609351961405[/C][C]0.660695324019297[/C][/ROW]
[ROW][C]12[/C][C]0.686181849937146[/C][C]0.627636300125708[/C][C]0.313818150062854[/C][/ROW]
[ROW][C]13[/C][C]0.57667108045958[/C][C]0.846657839080839[/C][C]0.42332891954042[/C][/ROW]
[ROW][C]14[/C][C]0.573631330416089[/C][C]0.852737339167822[/C][C]0.426368669583911[/C][/ROW]
[ROW][C]15[/C][C]0.473678377585149[/C][C]0.947356755170299[/C][C]0.526321622414851[/C][/ROW]
[ROW][C]16[/C][C]0.391266182256006[/C][C]0.782532364512012[/C][C]0.608733817743994[/C][/ROW]
[ROW][C]17[/C][C]0.340891066059894[/C][C]0.681782132119789[/C][C]0.659108933940106[/C][/ROW]
[ROW][C]18[/C][C]0.620478369689638[/C][C]0.759043260620724[/C][C]0.379521630310362[/C][/ROW]
[ROW][C]19[/C][C]0.570439414925071[/C][C]0.859121170149858[/C][C]0.429560585074929[/C][/ROW]
[ROW][C]20[/C][C]0.704647106627399[/C][C]0.590705786745201[/C][C]0.295352893372601[/C][/ROW]
[ROW][C]21[/C][C]0.840928186042039[/C][C]0.318143627915922[/C][C]0.159071813957961[/C][/ROW]
[ROW][C]22[/C][C]0.799027169239036[/C][C]0.401945661521927[/C][C]0.200972830760964[/C][/ROW]
[ROW][C]23[/C][C]0.768114890814146[/C][C]0.463770218371709[/C][C]0.231885109185854[/C][/ROW]
[ROW][C]24[/C][C]0.719511809682232[/C][C]0.560976380635535[/C][C]0.280488190317768[/C][/ROW]
[ROW][C]25[/C][C]0.659757052589057[/C][C]0.680485894821885[/C][C]0.340242947410943[/C][/ROW]
[ROW][C]26[/C][C]0.643472142120496[/C][C]0.713055715759007[/C][C]0.356527857879504[/C][/ROW]
[ROW][C]27[/C][C]0.63036468023038[/C][C]0.73927063953924[/C][C]0.36963531976962[/C][/ROW]
[ROW][C]28[/C][C]0.568456673790814[/C][C]0.863086652418373[/C][C]0.431543326209186[/C][/ROW]
[ROW][C]29[/C][C]0.600453569568623[/C][C]0.799092860862754[/C][C]0.399546430431377[/C][/ROW]
[ROW][C]30[/C][C]0.580544257565105[/C][C]0.838911484869789[/C][C]0.419455742434895[/C][/ROW]
[ROW][C]31[/C][C]0.537183811644718[/C][C]0.925632376710563[/C][C]0.462816188355282[/C][/ROW]
[ROW][C]32[/C][C]0.479222494736044[/C][C]0.958444989472089[/C][C]0.520777505263955[/C][/ROW]
[ROW][C]33[/C][C]0.735348425308519[/C][C]0.529303149382963[/C][C]0.264651574691481[/C][/ROW]
[ROW][C]34[/C][C]0.692141920710723[/C][C]0.615716158578554[/C][C]0.307858079289277[/C][/ROW]
[ROW][C]35[/C][C]0.664493738628865[/C][C]0.671012522742271[/C][C]0.335506261371135[/C][/ROW]
[ROW][C]36[/C][C]0.612160040226331[/C][C]0.775679919547337[/C][C]0.387839959773669[/C][/ROW]
[ROW][C]37[/C][C]0.562597230106616[/C][C]0.874805539786767[/C][C]0.437402769893384[/C][/ROW]
[ROW][C]38[/C][C]0.600912668990074[/C][C]0.798174662019853[/C][C]0.399087331009926[/C][/ROW]
[ROW][C]39[/C][C]0.626699286795792[/C][C]0.746601426408416[/C][C]0.373300713204208[/C][/ROW]
[ROW][C]40[/C][C]0.593221969835577[/C][C]0.813556060328847[/C][C]0.406778030164423[/C][/ROW]
[ROW][C]41[/C][C]0.548534692774009[/C][C]0.902930614451982[/C][C]0.451465307225991[/C][/ROW]
[ROW][C]42[/C][C]0.519602796708636[/C][C]0.960794406582728[/C][C]0.480397203291364[/C][/ROW]
[ROW][C]43[/C][C]0.471288548879094[/C][C]0.942577097758188[/C][C]0.528711451120906[/C][/ROW]
[ROW][C]44[/C][C]0.42217097863475[/C][C]0.844341957269499[/C][C]0.57782902136525[/C][/ROW]
[ROW][C]45[/C][C]0.379442296457104[/C][C]0.758884592914208[/C][C]0.620557703542896[/C][/ROW]
[ROW][C]46[/C][C]0.351888773135202[/C][C]0.703777546270404[/C][C]0.648111226864798[/C][/ROW]
[ROW][C]47[/C][C]0.361417711771652[/C][C]0.722835423543304[/C][C]0.638582288228348[/C][/ROW]
[ROW][C]48[/C][C]0.321056242765598[/C][C]0.642112485531197[/C][C]0.678943757234402[/C][/ROW]
[ROW][C]49[/C][C]0.293759376546878[/C][C]0.587518753093755[/C][C]0.706240623453122[/C][/ROW]
[ROW][C]50[/C][C]0.315822033122168[/C][C]0.631644066244336[/C][C]0.684177966877832[/C][/ROW]
[ROW][C]51[/C][C]0.292372068054813[/C][C]0.584744136109627[/C][C]0.707627931945187[/C][/ROW]
[ROW][C]52[/C][C]0.292340596037795[/C][C]0.58468119207559[/C][C]0.707659403962205[/C][/ROW]
[ROW][C]53[/C][C]0.253839225239619[/C][C]0.507678450479238[/C][C]0.746160774760381[/C][/ROW]
[ROW][C]54[/C][C]0.219746449956377[/C][C]0.439492899912753[/C][C]0.780253550043623[/C][/ROW]
[ROW][C]55[/C][C]0.187330039709913[/C][C]0.374660079419826[/C][C]0.812669960290087[/C][/ROW]
[ROW][C]56[/C][C]0.160288622442043[/C][C]0.320577244884086[/C][C]0.839711377557957[/C][/ROW]
[ROW][C]57[/C][C]0.13424535761111[/C][C]0.268490715222221[/C][C]0.86575464238889[/C][/ROW]
[ROW][C]58[/C][C]0.113844203300641[/C][C]0.227688406601283[/C][C]0.886155796699359[/C][/ROW]
[ROW][C]59[/C][C]0.0958675470881409[/C][C]0.191735094176282[/C][C]0.904132452911859[/C][/ROW]
[ROW][C]60[/C][C]0.0781128559472515[/C][C]0.156225711894503[/C][C]0.921887144052748[/C][/ROW]
[ROW][C]61[/C][C]0.0658539421103804[/C][C]0.131707884220761[/C][C]0.93414605788962[/C][/ROW]
[ROW][C]62[/C][C]0.0562889702065807[/C][C]0.112577940413161[/C][C]0.943711029793419[/C][/ROW]
[ROW][C]63[/C][C]0.0471557606553901[/C][C]0.0943115213107803[/C][C]0.95284423934461[/C][/ROW]
[ROW][C]64[/C][C]0.0385628454032446[/C][C]0.0771256908064891[/C][C]0.961437154596755[/C][/ROW]
[ROW][C]65[/C][C]0.0470158858227746[/C][C]0.0940317716455491[/C][C]0.952984114177225[/C][/ROW]
[ROW][C]66[/C][C]0.0628277793075525[/C][C]0.125655558615105[/C][C]0.937172220692447[/C][/ROW]
[ROW][C]67[/C][C]0.0626486625801963[/C][C]0.125297325160393[/C][C]0.937351337419804[/C][/ROW]
[ROW][C]68[/C][C]0.0599375427969483[/C][C]0.119875085593897[/C][C]0.940062457203052[/C][/ROW]
[ROW][C]69[/C][C]0.12446525300767[/C][C]0.24893050601534[/C][C]0.87553474699233[/C][/ROW]
[ROW][C]70[/C][C]0.230259273429956[/C][C]0.460518546859911[/C][C]0.769740726570044[/C][/ROW]
[ROW][C]71[/C][C]0.247231836077058[/C][C]0.494463672154116[/C][C]0.752768163922942[/C][/ROW]
[ROW][C]72[/C][C]0.277176314468169[/C][C]0.554352628936338[/C][C]0.722823685531831[/C][/ROW]
[ROW][C]73[/C][C]0.270020039375558[/C][C]0.540040078751115[/C][C]0.729979960624442[/C][/ROW]
[ROW][C]74[/C][C]0.243739705181014[/C][C]0.487479410362029[/C][C]0.756260294818986[/C][/ROW]
[ROW][C]75[/C][C]0.21626793153536[/C][C]0.43253586307072[/C][C]0.78373206846464[/C][/ROW]
[ROW][C]76[/C][C]0.322036137630868[/C][C]0.644072275261735[/C][C]0.677963862369132[/C][/ROW]
[ROW][C]77[/C][C]0.779124800989991[/C][C]0.441750398020017[/C][C]0.220875199010009[/C][/ROW]
[ROW][C]78[/C][C]0.751900934443076[/C][C]0.496198131113848[/C][C]0.248099065556924[/C][/ROW]
[ROW][C]79[/C][C]0.76211479987287[/C][C]0.47577040025426[/C][C]0.23788520012713[/C][/ROW]
[ROW][C]80[/C][C]0.758995280930322[/C][C]0.482009438139356[/C][C]0.241004719069678[/C][/ROW]
[ROW][C]81[/C][C]0.728189744443155[/C][C]0.54362051111369[/C][C]0.271810255556845[/C][/ROW]
[ROW][C]82[/C][C]0.762045180108699[/C][C]0.475909639782602[/C][C]0.237954819891301[/C][/ROW]
[ROW][C]83[/C][C]0.785648708752592[/C][C]0.428702582494816[/C][C]0.214351291247408[/C][/ROW]
[ROW][C]84[/C][C]0.758523035585899[/C][C]0.482953928828201[/C][C]0.241476964414101[/C][/ROW]
[ROW][C]85[/C][C]0.732527349829074[/C][C]0.534945300341852[/C][C]0.267472650170926[/C][/ROW]
[ROW][C]86[/C][C]0.786069006341641[/C][C]0.427861987316718[/C][C]0.213930993658359[/C][/ROW]
[ROW][C]87[/C][C]0.774273453827275[/C][C]0.45145309234545[/C][C]0.225726546172725[/C][/ROW]
[ROW][C]88[/C][C]0.749843821989918[/C][C]0.500312356020165[/C][C]0.250156178010082[/C][/ROW]
[ROW][C]89[/C][C]0.721167767511667[/C][C]0.557664464976667[/C][C]0.278832232488333[/C][/ROW]
[ROW][C]90[/C][C]0.80063693784507[/C][C]0.398726124309859[/C][C]0.19936306215493[/C][/ROW]
[ROW][C]91[/C][C]0.89854232524943[/C][C]0.20291534950114[/C][C]0.10145767475057[/C][/ROW]
[ROW][C]92[/C][C]0.897012451717985[/C][C]0.205975096564029[/C][C]0.102987548282015[/C][/ROW]
[ROW][C]93[/C][C]0.933329956078526[/C][C]0.133340087842949[/C][C]0.0666700439214744[/C][/ROW]
[ROW][C]94[/C][C]0.934007145662473[/C][C]0.131985708675053[/C][C]0.0659928543375266[/C][/ROW]
[ROW][C]95[/C][C]0.923540634337508[/C][C]0.152918731324985[/C][C]0.0764593656624924[/C][/ROW]
[ROW][C]96[/C][C]0.941830959459146[/C][C]0.116338081081708[/C][C]0.0581690405408542[/C][/ROW]
[ROW][C]97[/C][C]0.953959950766675[/C][C]0.0920800984666506[/C][C]0.0460400492333253[/C][/ROW]
[ROW][C]98[/C][C]0.961305476353909[/C][C]0.0773890472921818[/C][C]0.0386945236460909[/C][/ROW]
[ROW][C]99[/C][C]0.958570044200902[/C][C]0.0828599115981963[/C][C]0.0414299557990982[/C][/ROW]
[ROW][C]100[/C][C]0.988480711636425[/C][C]0.0230385767271508[/C][C]0.0115192883635754[/C][/ROW]
[ROW][C]101[/C][C]0.987172497872379[/C][C]0.0256550042552429[/C][C]0.0128275021276214[/C][/ROW]
[ROW][C]102[/C][C]0.983937794091689[/C][C]0.0321244118166227[/C][C]0.0160622059083113[/C][/ROW]
[ROW][C]103[/C][C]0.983276736132642[/C][C]0.0334465277347169[/C][C]0.0167232638673584[/C][/ROW]
[ROW][C]104[/C][C]0.979600468703002[/C][C]0.0407990625939966[/C][C]0.0203995312969983[/C][/ROW]
[ROW][C]105[/C][C]0.981011338501926[/C][C]0.0379773229961487[/C][C]0.0189886614980743[/C][/ROW]
[ROW][C]106[/C][C]0.994674473090508[/C][C]0.0106510538189847[/C][C]0.00532552690949234[/C][/ROW]
[ROW][C]107[/C][C]0.993278755178091[/C][C]0.0134424896438182[/C][C]0.00672124482190912[/C][/ROW]
[ROW][C]108[/C][C]0.991683576944093[/C][C]0.0166328461118146[/C][C]0.00831642305590728[/C][/ROW]
[ROW][C]109[/C][C]0.99656799799652[/C][C]0.00686400400695984[/C][C]0.00343200200347992[/C][/ROW]
[ROW][C]110[/C][C]0.99567252014143[/C][C]0.00865495971714036[/C][C]0.00432747985857018[/C][/ROW]
[ROW][C]111[/C][C]0.997124457478666[/C][C]0.00575108504266709[/C][C]0.00287554252133354[/C][/ROW]
[ROW][C]112[/C][C]0.998155657758874[/C][C]0.00368868448225254[/C][C]0.00184434224112627[/C][/ROW]
[ROW][C]113[/C][C]0.997873194863345[/C][C]0.00425361027330958[/C][C]0.00212680513665479[/C][/ROW]
[ROW][C]114[/C][C]0.998087513514701[/C][C]0.00382497297059704[/C][C]0.00191248648529852[/C][/ROW]
[ROW][C]115[/C][C]0.997538775953082[/C][C]0.00492244809383686[/C][C]0.00246122404691843[/C][/ROW]
[ROW][C]116[/C][C]0.997232184654449[/C][C]0.00553563069110185[/C][C]0.00276781534555092[/C][/ROW]
[ROW][C]117[/C][C]0.999672262358115[/C][C]0.000655475283770583[/C][C]0.000327737641885291[/C][/ROW]
[ROW][C]118[/C][C]0.999575676733923[/C][C]0.000848646532154595[/C][C]0.000424323266077298[/C][/ROW]
[ROW][C]119[/C][C]0.999560619725328[/C][C]0.000878760549344942[/C][C]0.000439380274672471[/C][/ROW]
[ROW][C]120[/C][C]0.99943815245123[/C][C]0.00112369509754029[/C][C]0.000561847548770146[/C][/ROW]
[ROW][C]121[/C][C]0.99927290941694[/C][C]0.00145418116611952[/C][C]0.000727090583059762[/C][/ROW]
[ROW][C]122[/C][C]0.999072444980631[/C][C]0.00185511003873857[/C][C]0.000927555019369287[/C][/ROW]
[ROW][C]123[/C][C]0.998767532253007[/C][C]0.00246493549398546[/C][C]0.00123246774699273[/C][/ROW]
[ROW][C]124[/C][C]0.998875352905823[/C][C]0.00224929418835392[/C][C]0.00112464709417696[/C][/ROW]
[ROW][C]125[/C][C]0.998599752907137[/C][C]0.00280049418572636[/C][C]0.00140024709286318[/C][/ROW]
[ROW][C]126[/C][C]0.998390253434938[/C][C]0.00321949313012384[/C][C]0.00160974656506192[/C][/ROW]
[ROW][C]127[/C][C]0.997907575232164[/C][C]0.00418484953567211[/C][C]0.00209242476783605[/C][/ROW]
[ROW][C]128[/C][C]0.997913801312328[/C][C]0.00417239737534308[/C][C]0.00208619868767154[/C][/ROW]
[ROW][C]129[/C][C]0.999241144726937[/C][C]0.00151771054612625[/C][C]0.000758855273063124[/C][/ROW]
[ROW][C]130[/C][C]0.999074946624951[/C][C]0.00185010675009825[/C][C]0.000925053375049126[/C][/ROW]
[ROW][C]131[/C][C]0.998853681108881[/C][C]0.00229263778223746[/C][C]0.00114631889111873[/C][/ROW]
[ROW][C]132[/C][C]0.999268086855721[/C][C]0.00146382628855763[/C][C]0.000731913144278816[/C][/ROW]
[ROW][C]133[/C][C]0.999126276080627[/C][C]0.00174744783874665[/C][C]0.000873723919373326[/C][/ROW]
[ROW][C]134[/C][C]0.999130124843726[/C][C]0.00173975031254898[/C][C]0.000869875156274492[/C][/ROW]
[ROW][C]135[/C][C]0.998900590719924[/C][C]0.00219881856015142[/C][C]0.00109940928007571[/C][/ROW]
[ROW][C]136[/C][C]0.998884458976705[/C][C]0.00223108204658949[/C][C]0.00111554102329475[/C][/ROW]
[ROW][C]137[/C][C]0.998550358033257[/C][C]0.00289928393348641[/C][C]0.00144964196674321[/C][/ROW]
[ROW][C]138[/C][C]0.998113038064183[/C][C]0.00377392387163462[/C][C]0.00188696193581731[/C][/ROW]
[ROW][C]139[/C][C]0.997587478759231[/C][C]0.00482504248153771[/C][C]0.00241252124076885[/C][/ROW]
[ROW][C]140[/C][C]0.996917543156373[/C][C]0.00616491368725352[/C][C]0.00308245684362676[/C][/ROW]
[ROW][C]141[/C][C]0.996533778415859[/C][C]0.00693244316828192[/C][C]0.00346622158414096[/C][/ROW]
[ROW][C]142[/C][C]0.996051435949722[/C][C]0.00789712810055675[/C][C]0.00394856405027837[/C][/ROW]
[ROW][C]143[/C][C]0.997243212786244[/C][C]0.00551357442751135[/C][C]0.00275678721375568[/C][/ROW]
[ROW][C]144[/C][C]0.996586193041567[/C][C]0.00682761391686495[/C][C]0.00341380695843248[/C][/ROW]
[ROW][C]145[/C][C]0.995964777365953[/C][C]0.00807044526809408[/C][C]0.00403522263404704[/C][/ROW]
[ROW][C]146[/C][C]0.995165007698418[/C][C]0.00966998460316449[/C][C]0.00483499230158225[/C][/ROW]
[ROW][C]147[/C][C]0.995929940932045[/C][C]0.00814011813591094[/C][C]0.00407005906795547[/C][/ROW]
[ROW][C]148[/C][C]0.996568616089147[/C][C]0.00686276782170597[/C][C]0.00343138391085299[/C][/ROW]
[ROW][C]149[/C][C]0.995574836366008[/C][C]0.00885032726798349[/C][C]0.00442516363399175[/C][/ROW]
[ROW][C]150[/C][C]0.995811195028567[/C][C]0.00837760994286599[/C][C]0.00418880497143299[/C][/ROW]
[ROW][C]151[/C][C]0.99482714413389[/C][C]0.0103457117322206[/C][C]0.00517285586611031[/C][/ROW]
[ROW][C]152[/C][C]0.997347434630302[/C][C]0.00530513073939657[/C][C]0.00265256536969829[/C][/ROW]
[ROW][C]153[/C][C]0.99672166572468[/C][C]0.00655666855063914[/C][C]0.00327833427531957[/C][/ROW]
[ROW][C]154[/C][C]0.996025441586415[/C][C]0.00794911682716931[/C][C]0.00397455841358466[/C][/ROW]
[ROW][C]155[/C][C]0.998847271731797[/C][C]0.00230545653640564[/C][C]0.00115272826820282[/C][/ROW]
[ROW][C]156[/C][C]0.999032491699383[/C][C]0.0019350166012339[/C][C]0.000967508300616948[/C][/ROW]
[ROW][C]157[/C][C]0.998756985800519[/C][C]0.00248602839896219[/C][C]0.0012430141994811[/C][/ROW]
[ROW][C]158[/C][C]0.998354354978908[/C][C]0.00329129004218342[/C][C]0.00164564502109171[/C][/ROW]
[ROW][C]159[/C][C]0.998484145956193[/C][C]0.00303170808761355[/C][C]0.00151585404380677[/C][/ROW]
[ROW][C]160[/C][C]0.99816390113259[/C][C]0.00367219773481958[/C][C]0.00183609886740979[/C][/ROW]
[ROW][C]161[/C][C]0.998462307922875[/C][C]0.00307538415425063[/C][C]0.00153769207712532[/C][/ROW]
[ROW][C]162[/C][C]0.999076597659044[/C][C]0.00184680468191257[/C][C]0.000923402340956283[/C][/ROW]
[ROW][C]163[/C][C]0.998784053083022[/C][C]0.00243189383395603[/C][C]0.00121594691697801[/C][/ROW]
[ROW][C]164[/C][C]0.99863616150921[/C][C]0.0027276769815805[/C][C]0.00136383849079025[/C][/ROW]
[ROW][C]165[/C][C]0.998778641282453[/C][C]0.00244271743509378[/C][C]0.00122135871754689[/C][/ROW]
[ROW][C]166[/C][C]0.999013740878077[/C][C]0.00197251824384565[/C][C]0.000986259121922825[/C][/ROW]
[ROW][C]167[/C][C]0.998721610067701[/C][C]0.00255677986459842[/C][C]0.00127838993229921[/C][/ROW]
[ROW][C]168[/C][C]0.999567606061899[/C][C]0.000864787876202061[/C][C]0.00043239393810103[/C][/ROW]
[ROW][C]169[/C][C]0.999525166916872[/C][C]0.000949666166256359[/C][C]0.00047483308312818[/C][/ROW]
[ROW][C]170[/C][C]0.999481809199984[/C][C]0.00103638160003234[/C][C]0.000518190800016168[/C][/ROW]
[ROW][C]171[/C][C]0.99955405049001[/C][C]0.00089189901997907[/C][C]0.000445949509989535[/C][/ROW]
[ROW][C]172[/C][C]0.99989653272288[/C][C]0.000206934554240513[/C][C]0.000103467277120256[/C][/ROW]
[ROW][C]173[/C][C]0.999922917076926[/C][C]0.000154165846147818[/C][C]7.70829230739091e-05[/C][/ROW]
[ROW][C]174[/C][C]0.999961575361348[/C][C]7.68492773045662e-05[/C][C]3.84246386522831e-05[/C][/ROW]
[ROW][C]175[/C][C]0.999999988281229[/C][C]2.34375417655215e-08[/C][C]1.17187708827608e-08[/C][/ROW]
[ROW][C]176[/C][C]0.999999991442626[/C][C]1.71147485275821e-08[/C][C]8.55737426379105e-09[/C][/ROW]
[ROW][C]177[/C][C]0.999999986517761[/C][C]2.69644771200453e-08[/C][C]1.34822385600227e-08[/C][/ROW]
[ROW][C]178[/C][C]0.999999979137302[/C][C]4.17253967697826e-08[/C][C]2.08626983848913e-08[/C][/ROW]
[ROW][C]179[/C][C]0.999999999994898[/C][C]1.02044613946246e-11[/C][C]5.10223069731229e-12[/C][/ROW]
[ROW][C]180[/C][C]0.999999999995062[/C][C]9.87664089610906e-12[/C][C]4.93832044805453e-12[/C][/ROW]
[ROW][C]181[/C][C]0.999999999990914[/C][C]1.81728250230455e-11[/C][C]9.08641251152274e-12[/C][/ROW]
[ROW][C]182[/C][C]0.999999999992007[/C][C]1.59864066416831e-11[/C][C]7.99320332084155e-12[/C][/ROW]
[ROW][C]183[/C][C]0.999999999984778[/C][C]3.04437581204789e-11[/C][C]1.52218790602394e-11[/C][/ROW]
[ROW][C]184[/C][C]0.999999999977471[/C][C]4.50580303466692e-11[/C][C]2.25290151733346e-11[/C][/ROW]
[ROW][C]185[/C][C]0.999999999999688[/C][C]6.22965689520549e-13[/C][C]3.11482844760275e-13[/C][/ROW]
[ROW][C]186[/C][C]0.999999999999386[/C][C]1.22784868861413e-12[/C][C]6.13924344307065e-13[/C][/ROW]
[ROW][C]187[/C][C]0.999999999998994[/C][C]2.01144901216118e-12[/C][C]1.00572450608059e-12[/C][/ROW]
[ROW][C]188[/C][C]0.999999999998367[/C][C]3.26548481672149e-12[/C][C]1.63274240836075e-12[/C][/ROW]
[ROW][C]189[/C][C]0.999999999996919[/C][C]6.16132360598041e-12[/C][C]3.0806618029902e-12[/C][/ROW]
[ROW][C]190[/C][C]0.999999999995719[/C][C]8.56141096753345e-12[/C][C]4.28070548376673e-12[/C][/ROW]
[ROW][C]191[/C][C]0.999999999995035[/C][C]9.93002169046542e-12[/C][C]4.96501084523271e-12[/C][/ROW]
[ROW][C]192[/C][C]0.999999999997811[/C][C]4.37706360727612e-12[/C][C]2.18853180363806e-12[/C][/ROW]
[ROW][C]193[/C][C]0.999999999998116[/C][C]3.76900460596873e-12[/C][C]1.88450230298437e-12[/C][/ROW]
[ROW][C]194[/C][C]0.999999999997563[/C][C]4.87359297074635e-12[/C][C]2.43679648537317e-12[/C][/ROW]
[ROW][C]195[/C][C]0.999999999998473[/C][C]3.05408778280323e-12[/C][C]1.52704389140161e-12[/C][/ROW]
[ROW][C]196[/C][C]0.999999999999613[/C][C]7.74607732562483e-13[/C][C]3.87303866281241e-13[/C][/ROW]
[ROW][C]197[/C][C]0.999999999999718[/C][C]5.63925832532523e-13[/C][C]2.81962916266262e-13[/C][/ROW]
[ROW][C]198[/C][C]0.999999999999413[/C][C]1.17485941772324e-12[/C][C]5.87429708861621e-13[/C][/ROW]
[ROW][C]199[/C][C]0.999999999998931[/C][C]2.13762453757436e-12[/C][C]1.06881226878718e-12[/C][/ROW]
[ROW][C]200[/C][C]0.999999999998507[/C][C]2.98636429271717e-12[/C][C]1.49318214635859e-12[/C][/ROW]
[ROW][C]201[/C][C]0.999999999996915[/C][C]6.1697934553261e-12[/C][C]3.08489672766305e-12[/C][/ROW]
[ROW][C]202[/C][C]0.999999999994438[/C][C]1.11239912316593e-11[/C][C]5.56199561582964e-12[/C][/ROW]
[ROW][C]203[/C][C]0.99999999998882[/C][C]2.23591925497356e-11[/C][C]1.11795962748678e-11[/C][/ROW]
[ROW][C]204[/C][C]0.999999999982637[/C][C]3.47267071282968e-11[/C][C]1.73633535641484e-11[/C][/ROW]
[ROW][C]205[/C][C]0.99999999997286[/C][C]5.42796171812559e-11[/C][C]2.71398085906279e-11[/C][/ROW]
[ROW][C]206[/C][C]0.999999999966103[/C][C]6.77939609410034e-11[/C][C]3.38969804705017e-11[/C][/ROW]
[ROW][C]207[/C][C]0.999999999939082[/C][C]1.21836552861165e-10[/C][C]6.09182764305825e-11[/C][/ROW]
[ROW][C]208[/C][C]0.999999999911335[/C][C]1.77329151687419e-10[/C][C]8.86645758437093e-11[/C][/ROW]
[ROW][C]209[/C][C]0.999999999826883[/C][C]3.4623359387831e-10[/C][C]1.73116796939155e-10[/C][/ROW]
[ROW][C]210[/C][C]0.999999999799958[/C][C]4.00083377726729e-10[/C][C]2.00041688863364e-10[/C][/ROW]
[ROW][C]211[/C][C]0.999999999628174[/C][C]7.43651680103173e-10[/C][C]3.71825840051586e-10[/C][/ROW]
[ROW][C]212[/C][C]0.999999999453124[/C][C]1.09375105799999e-09[/C][C]5.46875528999997e-10[/C][/ROW]
[ROW][C]213[/C][C]0.999999998925584[/C][C]2.14883219873207e-09[/C][C]1.07441609936604e-09[/C][/ROW]
[ROW][C]214[/C][C]0.999999998583378[/C][C]2.8332431155843e-09[/C][C]1.41662155779215e-09[/C][/ROW]
[ROW][C]215[/C][C]0.999999999672131[/C][C]6.55738438756579e-10[/C][C]3.2786921937829e-10[/C][/ROW]
[ROW][C]216[/C][C]0.999999999808599[/C][C]3.82802419574434e-10[/C][C]1.91401209787217e-10[/C][/ROW]
[ROW][C]217[/C][C]0.99999999961307[/C][C]7.73860653180762e-10[/C][C]3.86930326590381e-10[/C][/ROW]
[ROW][C]218[/C][C]0.999999999577593[/C][C]8.44813354883825e-10[/C][C]4.22406677441912e-10[/C][/ROW]
[ROW][C]219[/C][C]0.99999999919197[/C][C]1.61605936502979e-09[/C][C]8.08029682514894e-10[/C][/ROW]
[ROW][C]220[/C][C]0.999999998789379[/C][C]2.42124130189048e-09[/C][C]1.21062065094524e-09[/C][/ROW]
[ROW][C]221[/C][C]0.99999999773637[/C][C]4.5272591929126e-09[/C][C]2.2636295964563e-09[/C][/ROW]
[ROW][C]222[/C][C]0.999999996913646[/C][C]6.17270727096654e-09[/C][C]3.08635363548327e-09[/C][/ROW]
[ROW][C]223[/C][C]0.999999996162897[/C][C]7.67420660916337e-09[/C][C]3.83710330458168e-09[/C][/ROW]
[ROW][C]224[/C][C]0.999999992403466[/C][C]1.51930672101923e-08[/C][C]7.59653360509615e-09[/C][/ROW]
[ROW][C]225[/C][C]0.999999991326872[/C][C]1.73462568239281e-08[/C][C]8.67312841196407e-09[/C][/ROW]
[ROW][C]226[/C][C]0.999999985173548[/C][C]2.96529039402242e-08[/C][C]1.48264519701121e-08[/C][/ROW]
[ROW][C]227[/C][C]0.999999973110561[/C][C]5.37788777222534e-08[/C][C]2.68894388611267e-08[/C][/ROW]
[ROW][C]228[/C][C]0.999999957308867[/C][C]8.53822661214824e-08[/C][C]4.26911330607412e-08[/C][/ROW]
[ROW][C]229[/C][C]0.999999936928957[/C][C]1.26142085931909e-07[/C][C]6.30710429659545e-08[/C][/ROW]
[ROW][C]230[/C][C]0.999999885418006[/C][C]2.29163988262951e-07[/C][C]1.14581994131476e-07[/C][/ROW]
[ROW][C]231[/C][C]0.999999963668821[/C][C]7.26623571054395e-08[/C][C]3.63311785527197e-08[/C][/ROW]
[ROW][C]232[/C][C]0.999999960134467[/C][C]7.97310653410242e-08[/C][C]3.98655326705121e-08[/C][/ROW]
[ROW][C]233[/C][C]0.999999922739825[/C][C]1.54520350756101e-07[/C][C]7.72601753780504e-08[/C][/ROW]
[ROW][C]234[/C][C]0.999999880507351[/C][C]2.38985298352307e-07[/C][C]1.19492649176153e-07[/C][/ROW]
[ROW][C]235[/C][C]0.999999781361097[/C][C]4.37277806218864e-07[/C][C]2.18638903109432e-07[/C][/ROW]
[ROW][C]236[/C][C]0.999999794164703[/C][C]4.11670594556913e-07[/C][C]2.05835297278456e-07[/C][/ROW]
[ROW][C]237[/C][C]0.999999659636608[/C][C]6.80726783300562e-07[/C][C]3.40363391650281e-07[/C][/ROW]
[ROW][C]238[/C][C]0.999999327446538[/C][C]1.34510692387702e-06[/C][C]6.72553461938512e-07[/C][/ROW]
[ROW][C]239[/C][C]0.9999986806433[/C][C]2.63871339934584e-06[/C][C]1.31935669967292e-06[/C][/ROW]
[ROW][C]240[/C][C]0.99999777660107[/C][C]4.44679785939561e-06[/C][C]2.2233989296978e-06[/C][/ROW]
[ROW][C]241[/C][C]0.999996461429329[/C][C]7.07714134222491e-06[/C][C]3.53857067111245e-06[/C][/ROW]
[ROW][C]242[/C][C]0.999993543299419[/C][C]1.29134011623012e-05[/C][C]6.45670058115059e-06[/C][/ROW]
[ROW][C]243[/C][C]0.999991134412026[/C][C]1.77311759479444e-05[/C][C]8.8655879739722e-06[/C][/ROW]
[ROW][C]244[/C][C]0.999983293900929[/C][C]3.34121981424593e-05[/C][C]1.67060990712296e-05[/C][/ROW]
[ROW][C]245[/C][C]0.999969028008287[/C][C]6.19439834250626e-05[/C][C]3.09719917125313e-05[/C][/ROW]
[ROW][C]246[/C][C]0.999943948780896[/C][C]0.000112102438207227[/C][C]5.60512191036137e-05[/C][/ROW]
[ROW][C]247[/C][C]0.999970920424568[/C][C]5.8159150863698e-05[/C][C]2.9079575431849e-05[/C][/ROW]
[ROW][C]248[/C][C]0.999959655887948[/C][C]8.06882241044552e-05[/C][C]4.03441120522276e-05[/C][/ROW]
[ROW][C]249[/C][C]0.999925000009956[/C][C]0.000149999980088558[/C][C]7.49999900442792e-05[/C][/ROW]
[ROW][C]250[/C][C]0.99986922051905[/C][C]0.000261558961900561[/C][C]0.000130779480950281[/C][/ROW]
[ROW][C]251[/C][C]0.999805579857143[/C][C]0.000388840285713096[/C][C]0.000194420142856548[/C][/ROW]
[ROW][C]252[/C][C]0.999743922719716[/C][C]0.000512154560568357[/C][C]0.000256077280284179[/C][/ROW]
[ROW][C]253[/C][C]0.999602512231134[/C][C]0.000794975537731136[/C][C]0.000397487768865568[/C][/ROW]
[ROW][C]254[/C][C]0.999769927736708[/C][C]0.000460144526583129[/C][C]0.000230072263291565[/C][/ROW]
[ROW][C]255[/C][C]0.999691962370738[/C][C]0.000616075258524795[/C][C]0.000308037629262397[/C][/ROW]
[ROW][C]256[/C][C]0.999443955343219[/C][C]0.00111208931356233[/C][C]0.000556044656781163[/C][/ROW]
[ROW][C]257[/C][C]0.999345735914332[/C][C]0.00130852817133652[/C][C]0.000654264085668259[/C][/ROW]
[ROW][C]258[/C][C]0.99881631767917[/C][C]0.00236736464166054[/C][C]0.00118368232083027[/C][/ROW]
[ROW][C]259[/C][C]0.998345030437485[/C][C]0.00330993912502971[/C][C]0.00165496956251485[/C][/ROW]
[ROW][C]260[/C][C]0.997101390486845[/C][C]0.00579721902631022[/C][C]0.00289860951315511[/C][/ROW]
[ROW][C]261[/C][C]0.99830045803274[/C][C]0.00339908393451905[/C][C]0.00169954196725952[/C][/ROW]
[ROW][C]262[/C][C]0.998671729879071[/C][C]0.00265654024185771[/C][C]0.00132827012092885[/C][/ROW]
[ROW][C]263[/C][C]0.997902986239018[/C][C]0.00419402752196427[/C][C]0.00209701376098214[/C][/ROW]
[ROW][C]264[/C][C]0.998440451496167[/C][C]0.00311909700766512[/C][C]0.00155954850383256[/C][/ROW]
[ROW][C]265[/C][C]0.997511343948384[/C][C]0.00497731210323129[/C][C]0.00248865605161565[/C][/ROW]
[ROW][C]266[/C][C]0.997556390179186[/C][C]0.00488721964162873[/C][C]0.00244360982081437[/C][/ROW]
[ROW][C]267[/C][C]0.996534812433909[/C][C]0.00693037513218146[/C][C]0.00346518756609073[/C][/ROW]
[ROW][C]268[/C][C]0.994080938072346[/C][C]0.0118381238553089[/C][C]0.00591906192765444[/C][/ROW]
[ROW][C]269[/C][C]0.992413334005858[/C][C]0.0151733319882842[/C][C]0.0075866659941421[/C][/ROW]
[ROW][C]270[/C][C]0.98746972460678[/C][C]0.02506055078644[/C][C]0.01253027539322[/C][/ROW]
[ROW][C]271[/C][C]0.999146821551923[/C][C]0.00170635689615426[/C][C]0.000853178448077131[/C][/ROW]
[ROW][C]272[/C][C]0.997938618867917[/C][C]0.00412276226416661[/C][C]0.0020613811320833[/C][/ROW]
[ROW][C]273[/C][C]0.997797254835472[/C][C]0.00440549032905517[/C][C]0.00220274516452758[/C][/ROW]
[ROW][C]274[/C][C]0.994549904908838[/C][C]0.0109001901823238[/C][C]0.00545009509116192[/C][/ROW]
[ROW][C]275[/C][C]0.995096060212249[/C][C]0.00980787957550268[/C][C]0.00490393978775134[/C][/ROW]
[ROW][C]276[/C][C]0.988581349137681[/C][C]0.0228373017246378[/C][C]0.0114186508623189[/C][/ROW]
[ROW][C]277[/C][C]0.995563117482924[/C][C]0.00887376503415238[/C][C]0.00443688251707619[/C][/ROW]
[ROW][C]278[/C][C]0.993944623266393[/C][C]0.0121107534672139[/C][C]0.00605537673360696[/C][/ROW]
[ROW][C]279[/C][C]0.981988549798601[/C][C]0.0360229004027988[/C][C]0.0180114502013994[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197155&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197155&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
100.2713912737112910.5427825474225830.728608726288709
110.3393046759807030.6786093519614050.660695324019297
120.6861818499371460.6276363001257080.313818150062854
130.576671080459580.8466578390808390.42332891954042
140.5736313304160890.8527373391678220.426368669583911
150.4736783775851490.9473567551702990.526321622414851
160.3912661822560060.7825323645120120.608733817743994
170.3408910660598940.6817821321197890.659108933940106
180.6204783696896380.7590432606207240.379521630310362
190.5704394149250710.8591211701498580.429560585074929
200.7046471066273990.5907057867452010.295352893372601
210.8409281860420390.3181436279159220.159071813957961
220.7990271692390360.4019456615219270.200972830760964
230.7681148908141460.4637702183717090.231885109185854
240.7195118096822320.5609763806355350.280488190317768
250.6597570525890570.6804858948218850.340242947410943
260.6434721421204960.7130557157590070.356527857879504
270.630364680230380.739270639539240.36963531976962
280.5684566737908140.8630866524183730.431543326209186
290.6004535695686230.7990928608627540.399546430431377
300.5805442575651050.8389114848697890.419455742434895
310.5371838116447180.9256323767105630.462816188355282
320.4792224947360440.9584449894720890.520777505263955
330.7353484253085190.5293031493829630.264651574691481
340.6921419207107230.6157161585785540.307858079289277
350.6644937386288650.6710125227422710.335506261371135
360.6121600402263310.7756799195473370.387839959773669
370.5625972301066160.8748055397867670.437402769893384
380.6009126689900740.7981746620198530.399087331009926
390.6266992867957920.7466014264084160.373300713204208
400.5932219698355770.8135560603288470.406778030164423
410.5485346927740090.9029306144519820.451465307225991
420.5196027967086360.9607944065827280.480397203291364
430.4712885488790940.9425770977581880.528711451120906
440.422170978634750.8443419572694990.57782902136525
450.3794422964571040.7588845929142080.620557703542896
460.3518887731352020.7037775462704040.648111226864798
470.3614177117716520.7228354235433040.638582288228348
480.3210562427655980.6421124855311970.678943757234402
490.2937593765468780.5875187530937550.706240623453122
500.3158220331221680.6316440662443360.684177966877832
510.2923720680548130.5847441361096270.707627931945187
520.2923405960377950.584681192075590.707659403962205
530.2538392252396190.5076784504792380.746160774760381
540.2197464499563770.4394928999127530.780253550043623
550.1873300397099130.3746600794198260.812669960290087
560.1602886224420430.3205772448840860.839711377557957
570.134245357611110.2684907152222210.86575464238889
580.1138442033006410.2276884066012830.886155796699359
590.09586754708814090.1917350941762820.904132452911859
600.07811285594725150.1562257118945030.921887144052748
610.06585394211038040.1317078842207610.93414605788962
620.05628897020658070.1125779404131610.943711029793419
630.04715576065539010.09431152131078030.95284423934461
640.03856284540324460.07712569080648910.961437154596755
650.04701588582277460.09403177164554910.952984114177225
660.06282777930755250.1256555586151050.937172220692447
670.06264866258019630.1252973251603930.937351337419804
680.05993754279694830.1198750855938970.940062457203052
690.124465253007670.248930506015340.87553474699233
700.2302592734299560.4605185468599110.769740726570044
710.2472318360770580.4944636721541160.752768163922942
720.2771763144681690.5543526289363380.722823685531831
730.2700200393755580.5400400787511150.729979960624442
740.2437397051810140.4874794103620290.756260294818986
750.216267931535360.432535863070720.78373206846464
760.3220361376308680.6440722752617350.677963862369132
770.7791248009899910.4417503980200170.220875199010009
780.7519009344430760.4961981311138480.248099065556924
790.762114799872870.475770400254260.23788520012713
800.7589952809303220.4820094381393560.241004719069678
810.7281897444431550.543620511113690.271810255556845
820.7620451801086990.4759096397826020.237954819891301
830.7856487087525920.4287025824948160.214351291247408
840.7585230355858990.4829539288282010.241476964414101
850.7325273498290740.5349453003418520.267472650170926
860.7860690063416410.4278619873167180.213930993658359
870.7742734538272750.451453092345450.225726546172725
880.7498438219899180.5003123560201650.250156178010082
890.7211677675116670.5576644649766670.278832232488333
900.800636937845070.3987261243098590.19936306215493
910.898542325249430.202915349501140.10145767475057
920.8970124517179850.2059750965640290.102987548282015
930.9333299560785260.1333400878429490.0666700439214744
940.9340071456624730.1319857086750530.0659928543375266
950.9235406343375080.1529187313249850.0764593656624924
960.9418309594591460.1163380810817080.0581690405408542
970.9539599507666750.09208009846665060.0460400492333253
980.9613054763539090.07738904729218180.0386945236460909
990.9585700442009020.08285991159819630.0414299557990982
1000.9884807116364250.02303857672715080.0115192883635754
1010.9871724978723790.02565500425524290.0128275021276214
1020.9839377940916890.03212441181662270.0160622059083113
1030.9832767361326420.03344652773471690.0167232638673584
1040.9796004687030020.04079906259399660.0203995312969983
1050.9810113385019260.03797732299614870.0189886614980743
1060.9946744730905080.01065105381898470.00532552690949234
1070.9932787551780910.01344248964381820.00672124482190912
1080.9916835769440930.01663284611181460.00831642305590728
1090.996567997996520.006864004006959840.00343200200347992
1100.995672520141430.008654959717140360.00432747985857018
1110.9971244574786660.005751085042667090.00287554252133354
1120.9981556577588740.003688684482252540.00184434224112627
1130.9978731948633450.004253610273309580.00212680513665479
1140.9980875135147010.003824972970597040.00191248648529852
1150.9975387759530820.004922448093836860.00246122404691843
1160.9972321846544490.005535630691101850.00276781534555092
1170.9996722623581150.0006554752837705830.000327737641885291
1180.9995756767339230.0008486465321545950.000424323266077298
1190.9995606197253280.0008787605493449420.000439380274672471
1200.999438152451230.001123695097540290.000561847548770146
1210.999272909416940.001454181166119520.000727090583059762
1220.9990724449806310.001855110038738570.000927555019369287
1230.9987675322530070.002464935493985460.00123246774699273
1240.9988753529058230.002249294188353920.00112464709417696
1250.9985997529071370.002800494185726360.00140024709286318
1260.9983902534349380.003219493130123840.00160974656506192
1270.9979075752321640.004184849535672110.00209242476783605
1280.9979138013123280.004172397375343080.00208619868767154
1290.9992411447269370.001517710546126250.000758855273063124
1300.9990749466249510.001850106750098250.000925053375049126
1310.9988536811088810.002292637782237460.00114631889111873
1320.9992680868557210.001463826288557630.000731913144278816
1330.9991262760806270.001747447838746650.000873723919373326
1340.9991301248437260.001739750312548980.000869875156274492
1350.9989005907199240.002198818560151420.00109940928007571
1360.9988844589767050.002231082046589490.00111554102329475
1370.9985503580332570.002899283933486410.00144964196674321
1380.9981130380641830.003773923871634620.00188696193581731
1390.9975874787592310.004825042481537710.00241252124076885
1400.9969175431563730.006164913687253520.00308245684362676
1410.9965337784158590.006932443168281920.00346622158414096
1420.9960514359497220.007897128100556750.00394856405027837
1430.9972432127862440.005513574427511350.00275678721375568
1440.9965861930415670.006827613916864950.00341380695843248
1450.9959647773659530.008070445268094080.00403522263404704
1460.9951650076984180.009669984603164490.00483499230158225
1470.9959299409320450.008140118135910940.00407005906795547
1480.9965686160891470.006862767821705970.00343138391085299
1490.9955748363660080.008850327267983490.00442516363399175
1500.9958111950285670.008377609942865990.00418880497143299
1510.994827144133890.01034571173222060.00517285586611031
1520.9973474346303020.005305130739396570.00265256536969829
1530.996721665724680.006556668550639140.00327833427531957
1540.9960254415864150.007949116827169310.00397455841358466
1550.9988472717317970.002305456536405640.00115272826820282
1560.9990324916993830.00193501660123390.000967508300616948
1570.9987569858005190.002486028398962190.0012430141994811
1580.9983543549789080.003291290042183420.00164564502109171
1590.9984841459561930.003031708087613550.00151585404380677
1600.998163901132590.003672197734819580.00183609886740979
1610.9984623079228750.003075384154250630.00153769207712532
1620.9990765976590440.001846804681912570.000923402340956283
1630.9987840530830220.002431893833956030.00121594691697801
1640.998636161509210.00272767698158050.00136383849079025
1650.9987786412824530.002442717435093780.00122135871754689
1660.9990137408780770.001972518243845650.000986259121922825
1670.9987216100677010.002556779864598420.00127838993229921
1680.9995676060618990.0008647878762020610.00043239393810103
1690.9995251669168720.0009496661662563590.00047483308312818
1700.9994818091999840.001036381600032340.000518190800016168
1710.999554050490010.000891899019979070.000445949509989535
1720.999896532722880.0002069345542405130.000103467277120256
1730.9999229170769260.0001541658461478187.70829230739091e-05
1740.9999615753613487.68492773045662e-053.84246386522831e-05
1750.9999999882812292.34375417655215e-081.17187708827608e-08
1760.9999999914426261.71147485275821e-088.55737426379105e-09
1770.9999999865177612.69644771200453e-081.34822385600227e-08
1780.9999999791373024.17253967697826e-082.08626983848913e-08
1790.9999999999948981.02044613946246e-115.10223069731229e-12
1800.9999999999950629.87664089610906e-124.93832044805453e-12
1810.9999999999909141.81728250230455e-119.08641251152274e-12
1820.9999999999920071.59864066416831e-117.99320332084155e-12
1830.9999999999847783.04437581204789e-111.52218790602394e-11
1840.9999999999774714.50580303466692e-112.25290151733346e-11
1850.9999999999996886.22965689520549e-133.11482844760275e-13
1860.9999999999993861.22784868861413e-126.13924344307065e-13
1870.9999999999989942.01144901216118e-121.00572450608059e-12
1880.9999999999983673.26548481672149e-121.63274240836075e-12
1890.9999999999969196.16132360598041e-123.0806618029902e-12
1900.9999999999957198.56141096753345e-124.28070548376673e-12
1910.9999999999950359.93002169046542e-124.96501084523271e-12
1920.9999999999978114.37706360727612e-122.18853180363806e-12
1930.9999999999981163.76900460596873e-121.88450230298437e-12
1940.9999999999975634.87359297074635e-122.43679648537317e-12
1950.9999999999984733.05408778280323e-121.52704389140161e-12
1960.9999999999996137.74607732562483e-133.87303866281241e-13
1970.9999999999997185.63925832532523e-132.81962916266262e-13
1980.9999999999994131.17485941772324e-125.87429708861621e-13
1990.9999999999989312.13762453757436e-121.06881226878718e-12
2000.9999999999985072.98636429271717e-121.49318214635859e-12
2010.9999999999969156.1697934553261e-123.08489672766305e-12
2020.9999999999944381.11239912316593e-115.56199561582964e-12
2030.999999999988822.23591925497356e-111.11795962748678e-11
2040.9999999999826373.47267071282968e-111.73633535641484e-11
2050.999999999972865.42796171812559e-112.71398085906279e-11
2060.9999999999661036.77939609410034e-113.38969804705017e-11
2070.9999999999390821.21836552861165e-106.09182764305825e-11
2080.9999999999113351.77329151687419e-108.86645758437093e-11
2090.9999999998268833.4623359387831e-101.73116796939155e-10
2100.9999999997999584.00083377726729e-102.00041688863364e-10
2110.9999999996281747.43651680103173e-103.71825840051586e-10
2120.9999999994531241.09375105799999e-095.46875528999997e-10
2130.9999999989255842.14883219873207e-091.07441609936604e-09
2140.9999999985833782.8332431155843e-091.41662155779215e-09
2150.9999999996721316.55738438756579e-103.2786921937829e-10
2160.9999999998085993.82802419574434e-101.91401209787217e-10
2170.999999999613077.73860653180762e-103.86930326590381e-10
2180.9999999995775938.44813354883825e-104.22406677441912e-10
2190.999999999191971.61605936502979e-098.08029682514894e-10
2200.9999999987893792.42124130189048e-091.21062065094524e-09
2210.999999997736374.5272591929126e-092.2636295964563e-09
2220.9999999969136466.17270727096654e-093.08635363548327e-09
2230.9999999961628977.67420660916337e-093.83710330458168e-09
2240.9999999924034661.51930672101923e-087.59653360509615e-09
2250.9999999913268721.73462568239281e-088.67312841196407e-09
2260.9999999851735482.96529039402242e-081.48264519701121e-08
2270.9999999731105615.37788777222534e-082.68894388611267e-08
2280.9999999573088678.53822661214824e-084.26911330607412e-08
2290.9999999369289571.26142085931909e-076.30710429659545e-08
2300.9999998854180062.29163988262951e-071.14581994131476e-07
2310.9999999636688217.26623571054395e-083.63311785527197e-08
2320.9999999601344677.97310653410242e-083.98655326705121e-08
2330.9999999227398251.54520350756101e-077.72601753780504e-08
2340.9999998805073512.38985298352307e-071.19492649176153e-07
2350.9999997813610974.37277806218864e-072.18638903109432e-07
2360.9999997941647034.11670594556913e-072.05835297278456e-07
2370.9999996596366086.80726783300562e-073.40363391650281e-07
2380.9999993274465381.34510692387702e-066.72553461938512e-07
2390.99999868064332.63871339934584e-061.31935669967292e-06
2400.999997776601074.44679785939561e-062.2233989296978e-06
2410.9999964614293297.07714134222491e-063.53857067111245e-06
2420.9999935432994191.29134011623012e-056.45670058115059e-06
2430.9999911344120261.77311759479444e-058.8655879739722e-06
2440.9999832939009293.34121981424593e-051.67060990712296e-05
2450.9999690280082876.19439834250626e-053.09719917125313e-05
2460.9999439487808960.0001121024382072275.60512191036137e-05
2470.9999709204245685.8159150863698e-052.9079575431849e-05
2480.9999596558879488.06882241044552e-054.03441120522276e-05
2490.9999250000099560.0001499999800885587.49999900442792e-05
2500.999869220519050.0002615589619005610.000130779480950281
2510.9998055798571430.0003888402857130960.000194420142856548
2520.9997439227197160.0005121545605683570.000256077280284179
2530.9996025122311340.0007949755377311360.000397487768865568
2540.9997699277367080.0004601445265831290.000230072263291565
2550.9996919623707380.0006160752585247950.000308037629262397
2560.9994439553432190.001112089313562330.000556044656781163
2570.9993457359143320.001308528171336520.000654264085668259
2580.998816317679170.002367364641660540.00118368232083027
2590.9983450304374850.003309939125029710.00165496956251485
2600.9971013904868450.005797219026310220.00289860951315511
2610.998300458032740.003399083934519050.00169954196725952
2620.9986717298790710.002656540241857710.00132827012092885
2630.9979029862390180.004194027521964270.00209701376098214
2640.9984404514961670.003119097007665120.00155954850383256
2650.9975113439483840.004977312103231290.00248865605161565
2660.9975563901791860.004887219641628730.00244360982081437
2670.9965348124339090.006930375132181460.00346518756609073
2680.9940809380723460.01183812385530890.00591906192765444
2690.9924133340058580.01517333198828420.0075866659941421
2700.987469724606780.025060550786440.01253027539322
2710.9991468215519230.001706356896154260.000853178448077131
2720.9979386188679170.004122762264166610.0020613811320833
2730.9977972548354720.004405490329055170.00220274516452758
2740.9945499049088380.01090019018232380.00545009509116192
2750.9950960602122490.009807879575502680.00490393978775134
2760.9885813491376810.02283730172463780.0114186508623189
2770.9955631174829240.008873765034152380.00443688251707619
2780.9939446232663930.01211075346721390.00605537673360696
2790.9819885497986010.03602290040279880.0180114502013994






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1630.603703703703704NOK
5% type I error level1800.666666666666667NOK
10% type I error level1860.688888888888889NOK

\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 & 163 & 0.603703703703704 & NOK \tabularnewline
5% type I error level & 180 & 0.666666666666667 & NOK \tabularnewline
10% type I error level & 186 & 0.688888888888889 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197155&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]163[/C][C]0.603703703703704[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]180[/C][C]0.666666666666667[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]186[/C][C]0.688888888888889[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197155&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197155&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1630.603703703703704NOK
5% type I error level1800.666666666666667NOK
10% type I error level1860.688888888888889NOK


Figures (Output of Computation)

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


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


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


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


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


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


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


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


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


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


Input Parameters & R Code

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