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 computationSun, 17 Nov 2013 08:16:19 -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/2013/Nov/17/t1384694264dt58b40n0ufg3ue.htm/, Retrieved Sun, 28 Apr 2024 19:03:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=225732, Retrieved Sun, 28 Apr 2024 19:03:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact117

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [] [2010-11-17 09:14:55] [b98453cac15ba1066b407e146608df68]
- R P     [Multiple Regression] [] [2013-11-17 13:16:19] [eed7bd73d5c44ddc39c9fbee8149d07c] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9	41	38	13	12	14	12	53	32
9	39	32	16	11	18	11	83	51
9	30	35	19	15	11	14	66	42
9	31	33	15	6	12	12	67	41
9	34	37	14	13	16	21	76	46
9	35	29	13	10	18	12	78	47
9	39	31	19	12	14	22	53	37
9	34	36	15	14	14	11	80	49
9	36	35	14	12	15	10	74	45
9	37	38	15	9	15	13	76	47
9	38	31	16	10	17	10	79	49
9	36	34	16	12	19	8	54	33
9	38	35	16	12	10	15	67	42
9	39	38	16	11	16	14	54	33
9	33	37	17	15	18	10	87	53
9	32	33	15	12	14	14	58	36
9	36	32	15	10	14	14	75	45
9	38	38	20	12	17	11	88	54
9	39	38	18	11	14	10	64	41
9	32	32	16	12	16	13	57	36
9	32	33	16	11	18	9.5	66	41
9	31	31	16	12	11	14	68	44
9	39	38	19	13	14	12	54	33
9	37	39	16	11	12	14	56	37
9	39	32	17	12	17	11	86	52
9	41	32	17	13	9	9	80	47
9	36	35	16	10	16	11	76	43
9	33	37	15	14	14	15	69	44
9	33	33	16	12	15	14	78	45
9	34	33	14	10	11	13	67	44
9	31	31	15	12	16	9	80	49
9	27	32	12	8	13	15	54	33
9	37	31	14	10	17	10	71	43
9	34	37	16	12	15	11	84	54
9	34	30	14	12	14	13	74	42
9	32	33	10	7	16	8	71	44
9	29	31	10	9	9	20	63	37
9	36	33	14	12	15	12	71	43
9	29	31	16	10	17	10	76	46
9	35	33	16	10	13	10	69	42
9	37	32	16	10	15	9	74	45
9	34	33	14	12	16	14	75	44
9	38	32	20	15	16	8	54	33
9	35	33	14	10	12	14	52	31
9	38	28	14	10	15	11	69	42
9	37	35	11	12	11	13	68	40
9	38	39	14	13	15	9	65	43
9	33	34	15	11	15	11	75	46
9	36	38	16	11	17	15	74	42
9	38	32	14	12	13	11	75	45
9	32	38	16	14	16	10	72	44
9	32	30	14	10	14	14	67	40
9	32	33	12	12	11	18	63	37
9	34	38	16	13	12	14	62	46
9	32	32	9	5	12	11	63	36
9	37	35	14	6	15	14.5	76	47
9	39	34	16	12	16	13	74	45
9	29	34	16	12	15	9	67	42
9	37	36	15	11	12	10	73	43
9	35	34	16	10	12	15	70	43
9	30	28	12	7	8	20	53	32
9	38	34	16	12	13	12	77	45
9	34	35	16	14	11	12	80	48
9	31	35	14	11	14	14	52	31
9	34	31	16	12	15	13	54	33
10	35	37	17	13	10	11	80	49
10	36	35	18	14	11	17	66	42
10	30	27	18	11	12	12	73	41
10	39	40	12	12	15	13	63	38
10	35	37	16	12	15	14	69	42
10	38	36	10	8	14	13	67	44
10	31	38	14	11	16	15	54	33
10	34	39	18	14	15	13	81	48
10	38	41	18	14	15	10	69	40
10	34	27	16	12	13	11	84	50
10	39	30	17	9	12	19	80	49
10	37	37	16	13	17	13	70	43
10	34	31	16	11	13	17	69	44
10	28	31	13	12	15	13	77	47
10	37	27	16	12	13	9	54	33
10	33	36	16	12	15	11	79	46
10	35	37	16	12	15	9	71	45
10	37	33	15	12	16	12	73	43
10	32	34	15	11	15	12	72	44
10	33	31	16	10	14	13	77	47
10	38	39	14	9	15	13	75	45
10	33	34	16	12	14	12	69	42
10	29	32	16	12	13	15	54	33
10	33	33	15	12	7	22	70	43
10	31	36	12	9	17	13	73	46
10	36	32	17	15	13	15	54	33
10	35	41	16	12	15	13	77	46
10	32	28	15	12	14	15	82	48
10	29	30	13	12	13	12.5	80	47
10	39	36	16	10	16	11	80	47
10	37	35	16	13	12	16	69	43
10	35	31	16	9	14	11	78	46
10	37	34	16	12	17	11	81	48
10	32	36	14	10	15	10	76	46
10	38	36	16	14	17	10	76	45
10	37	35	16	11	12	16	73	45
10	36	37	20	15	16	12	85	52
10	32	28	15	11	11	11	66	42
10	33	39	16	11	15	16	79	47
10	40	32	13	12	9	19	68	41
10	38	35	17	12	16	11	76	47
10	41	39	16	12	15	16	71	43
10	36	35	16	11	10	15	54	33
10	43	42	12	7	10	24	46	30
10	30	34	16	12	15	14	85	52
10	31	33	16	14	11	15	74	44
10	32	41	17	11	13	11	88	55
10	32	33	13	11	14	15	38	11
10	37	34	12	10	18	12	76	47
10	37	32	18	13	16	10	86	53
10	33	40	14	13	14	14	54	33
10	34	40	14	8	14	13	67	44
10	33	35	13	11	14	9	69	42
10	38	36	16	12	14	15	90	55
10	33	37	13	11	12	15	54	33
10	31	27	16	13	14	14	76	46
10	38	39	13	12	15	11	89	54
10	37	38	16	14	15	8	76	47
10	36	31	15	13	15	11	73	45
10	31	33	16	15	13	11	79	47
10	39	32	15	10	17	8	90	55
10	44	39	17	11	17	10	74	44
10	33	36	15	9	19	11	81	53
10	35	33	12	11	15	13	72	44
10	32	33	16	10	13	11	71	42
10	28	32	10	11	9	20	66	40
10	40	37	16	8	15	10	77	46
10	27	30	12	11	15	15	65	40
10	37	38	14	12	15	12	74	46
10	32	29	15	12	16	14	85	53
10	28	22	13	9	11	23	54	33
10	34	35	15	11	14	14	63	42
10	30	35	11	10	11	16	54	35
10	35	34	12	8	15	11	64	40
10	31	35	11	9	13	12	69	41
10	32	34	16	8	15	10	54	33
10	30	37	15	9	16	14	84	51
10	30	35	17	15	14	12	86	53
10	31	23	16	11	15	12	77	46
10	40	31	10	8	16	11	89	55
10	32	27	18	13	16	12	76	47
10	36	36	13	12	11	13	60	38
10	32	31	16	12	12	11	75	46
10	35	32	13	9	9	19	73	46
10	38	39	10	7	16	12	85	53
10	42	37	15	13	13	17	79	47
10	34	38	16	9	16	9	71	41
10	35	39	16	6	12	12	72	44
9	38	34	14	8	9	19	69	43
10	33	31	10	8	13	18	78	51
10	36	32	17	15	13	15	54	33
10	32	37	13	6	14	14	69	43
10	33	36	15	9	19	11	81	53
10	34	32	16	11	13	9	84	51
10	32	38	12	8	12	18	84	50
10	34	36	13	8	13	16	69	46
11	27	26	13	10	10	24	66	43
11	31	26	12	8	14	14	81	47
11	38	33	17	14	16	20	82	50
11	34	39	15	10	10	18	72	43
11	24	30	10	8	11	23	54	33
11	30	33	14	11	14	12	78	48
11	26	25	11	12	12	14	74	44
11	34	38	13	12	9	16	82	50
11	27	37	16	12	9	18	73	41
11	37	31	12	5	11	20	55	34
11	36	37	16	12	16	12	72	44
11	41	35	12	10	9	12	78	47
11	29	25	9	7	13	17	59	35
11	36	28	12	12	16	13	72	44
11	32	35	15	11	13	9	78	44
11	37	33	12	8	9	16	68	43
11	30	30	12	9	12	18	69	41
11	31	31	14	10	16	10	67	41
11	38	37	12	9	11	14	74	42
11	36	36	16	12	14	11	54	33
11	35	30	11	6	13	9	67	41
11	31	36	19	15	15	11	70	44
11	38	32	15	12	14	10	80	48
11	22	28	8	12	16	11	89	55
11	32	36	16	12	13	19	76	44
11	36	34	17	11	14	14	74	43
11	39	31	12	7	15	12	87	52
11	28	28	11	7	13	14	54	30
11	32	36	11	5	11	21	61	39
11	32	36	14	12	11	13	38	11
11	38	40	16	12	14	10	75	44
11	32	33	12	3	15	15	69	42
11	35	37	16	11	11	16	62	41
11	32	32	13	10	15	14	72	44
11	37	38	15	12	12	12	70	44
11	34	31	16	9	14	19	79	48
11	33	37	16	12	14	15	87	53
11	33	33	14	9	8	19	62	37
11	26	32	16	12	13	13	77	44
11	30	30	16	12	9	17	69	44
11	24	30	14	10	15	12	69	40
11	34	31	11	9	17	11	75	42
11	34	32	12	12	13	14	54	35
11	33	34	15	8	15	11	72	43
11	34	36	15	11	15	13	74	45
11	35	37	16	11	14	12	85	55
11	35	36	16	12	16	15	52	31
11	36	33	11	10	13	14	70	44
11	34	33	15	10	16	12	84	50
11	34	33	12	12	9	17	64	40
11	41	44	12	12	16	11	84	53
11	32	39	15	11	11	18	87	54
11	30	32	15	8	10	13	79	49
11	35	35	16	12	11	17	67	40
11	28	25	14	10	15	13	65	41
11	33	35	17	11	17	11	85	52
11	39	34	14	10	14	12	83	52
11	36	35	13	8	8	22	61	36
11	36	39	15	12	15	14	82	52
11	35	33	13	12	11	12	76	46
11	38	36	14	10	16	12	58	31
11	33	32	15	12	10	17	72	44
11	31	32	12	9	15	9	72	44
11	34	36	13	9	9	21	38	11
11	32	36	8	6	16	10	78	46
11	31	32	14	10	19	11	54	33
11	33	34	14	9	12	12	63	34
11	34	33	11	9	8	23	66	42
11	34	35	12	9	11	13	70	43
11	34	30	13	6	14	12	71	43
11	33	38	10	10	9	16	67	44
11	32	34	16	6	15	9	58	36
11	41	33	18	14	13	17	72	46
11	34	32	13	10	16	9	72	44
11	36	31	11	10	11	14	70	43
11	37	30	4	6	12	17	76	50
11	36	27	13	12	13	13	50	33
11	29	31	16	12	10	11	72	43
11	37	30	10	7	11	12	72	44
11	27	32	12	8	12	10	88	53
11	35	35	12	11	8	19	53	34
11	28	28	10	3	12	16	58	35
11	35	33	13	6	12	16	66	40
11	37	31	15	10	15	14	82	53
11	29	35	12	8	11	20	69	42
11	32	35	14	9	13	15	68	43
11	36	32	10	9	14	23	44	29
11	19	21	12	8	10	20	56	36
11	21	20	12	9	12	16	53	30
11	31	34	11	7	15	14	70	42
11	33	32	10	7	13	17	78	47
11	36	34	12	6	13	11	71	44
11	33	32	16	9	13	13	72	45
11	37	33	12	10	12	17	68	44
11	34	33	14	11	12	15	67	43
11	35	37	16	12	9	21	75	43
11	31	32	14	8	9	18	62	40
11	37	34	13	11	15	15	67	41
11	35	30	4	3	10	8	83	52
11	27	30	15	11	14	12	64	38
11	34	38	11	12	15	12	68	41
11	40	36	11	7	7	22	62	39
11	29	32	14	9	14	12	72	43

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time19 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 & 19 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=225732&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]19 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=225732&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=225732&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 time19 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Depression[t] = + 18.9393693178135 + 1.14577403454646month[t] -0.028251325671926Connected[t] + 0.00296139671603428Separate[t] -0.0675090645538362Learning[t] -0.0267890055713967Software[t] -0.687128420435808Happiness[t] -0.165978721270868Belonging[t] + 0.168248015984927Belonging_Final[t] -0.00820558500818339t + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Depression[t] =  +  18.9393693178135 +  1.14577403454646month[t] -0.028251325671926Connected[t] +  0.00296139671603428Separate[t] -0.0675090645538362Learning[t] -0.0267890055713967Software[t] -0.687128420435808Happiness[t] -0.165978721270868Belonging[t] +  0.168248015984927Belonging_Final[t] -0.00820558500818339t  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=225732&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Depression[t] =  +  18.9393693178135 +  1.14577403454646month[t] -0.028251325671926Connected[t] +  0.00296139671603428Separate[t] -0.0675090645538362Learning[t] -0.0267890055713967Software[t] -0.687128420435808Happiness[t] -0.165978721270868Belonging[t] +  0.168248015984927Belonging_Final[t] -0.00820558500818339t  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=225732&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=225732&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
Depression[t] = + 18.9393693178135 + 1.14577403454646month[t] -0.028251325671926Connected[t] + 0.00296139671603428Separate[t] -0.0675090645538362Learning[t] -0.0267890055713967Software[t] -0.687128420435808Happiness[t] -0.165978721270868Belonging[t] + 0.168248015984927Belonging_Final[t] -0.00820558500818339t + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)18.93936931781355.6366283.36010.0008990.00045
month1.145774034546460.5993361.91170.0570350.028517
Connected-0.0282513256719260.051258-0.55120.5820110.291005
Separate0.002961396716034280.0521120.05680.9547270.477363
Learning-0.06750906455383620.092538-0.72950.4663530.233176
Software-0.02678900557139670.095616-0.28020.7795730.389787
Happiness-0.6871284204358080.074436-9.231200
Belonging-0.1659787212708680.055129-3.01070.0028690.001434
Belonging_Final0.1682480159849270.0826482.03570.0428170.021409
t-0.008205585008183390.006404-1.28130.2012460.100623

\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) & 18.9393693178135 & 5.636628 & 3.3601 & 0.000899 & 0.00045 \tabularnewline
month & 1.14577403454646 & 0.599336 & 1.9117 & 0.057035 & 0.028517 \tabularnewline
Connected & -0.028251325671926 & 0.051258 & -0.5512 & 0.582011 & 0.291005 \tabularnewline
Separate & 0.00296139671603428 & 0.052112 & 0.0568 & 0.954727 & 0.477363 \tabularnewline
Learning & -0.0675090645538362 & 0.092538 & -0.7295 & 0.466353 & 0.233176 \tabularnewline
Software & -0.0267890055713967 & 0.095616 & -0.2802 & 0.779573 & 0.389787 \tabularnewline
Happiness & -0.687128420435808 & 0.074436 & -9.2312 & 0 & 0 \tabularnewline
Belonging & -0.165978721270868 & 0.055129 & -3.0107 & 0.002869 & 0.001434 \tabularnewline
Belonging_Final & 0.168248015984927 & 0.082648 & 2.0357 & 0.042817 & 0.021409 \tabularnewline
t & -0.00820558500818339 & 0.006404 & -1.2813 & 0.201246 & 0.100623 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=225732&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]18.9393693178135[/C][C]5.636628[/C][C]3.3601[/C][C]0.000899[/C][C]0.00045[/C][/ROW]
[ROW][C]month[/C][C]1.14577403454646[/C][C]0.599336[/C][C]1.9117[/C][C]0.057035[/C][C]0.028517[/C][/ROW]
[ROW][C]Connected[/C][C]-0.028251325671926[/C][C]0.051258[/C][C]-0.5512[/C][C]0.582011[/C][C]0.291005[/C][/ROW]
[ROW][C]Separate[/C][C]0.00296139671603428[/C][C]0.052112[/C][C]0.0568[/C][C]0.954727[/C][C]0.477363[/C][/ROW]
[ROW][C]Learning[/C][C]-0.0675090645538362[/C][C]0.092538[/C][C]-0.7295[/C][C]0.466353[/C][C]0.233176[/C][/ROW]
[ROW][C]Software[/C][C]-0.0267890055713967[/C][C]0.095616[/C][C]-0.2802[/C][C]0.779573[/C][C]0.389787[/C][/ROW]
[ROW][C]Happiness[/C][C]-0.687128420435808[/C][C]0.074436[/C][C]-9.2312[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Belonging[/C][C]-0.165978721270868[/C][C]0.055129[/C][C]-3.0107[/C][C]0.002869[/C][C]0.001434[/C][/ROW]
[ROW][C]Belonging_Final[/C][C]0.168248015984927[/C][C]0.082648[/C][C]2.0357[/C][C]0.042817[/C][C]0.021409[/C][/ROW]
[ROW][C]t[/C][C]-0.00820558500818339[/C][C]0.006404[/C][C]-1.2813[/C][C]0.201246[/C][C]0.100623[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=225732&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=225732&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)18.93936931781355.6366283.36010.0008990.00045
month1.145774034546460.5993361.91170.0570350.028517
Connected-0.0282513256719260.051258-0.55120.5820110.291005
Separate0.002961396716034280.0521120.05680.9547270.477363
Learning-0.06750906455383620.092538-0.72950.4663530.233176
Software-0.02678900557139670.095616-0.28020.7795730.389787
Happiness-0.6871284204358080.074436-9.231200
Belonging-0.1659787212708680.055129-3.01070.0028690.001434
Belonging_Final0.1682480159849270.0826482.03570.0428170.021409
t-0.008205585008183390.006404-1.28130.2012460.100623






Multiple Linear Regression - Regression Statistics
Multiple R0.628414466671814
R-squared0.394904741922421
Adjusted R-squared0.373464358762192
F-TEST (value)18.4187352889732
F-TEST (DF numerator)9
F-TEST (DF denominator)254
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.74629565089294
Sum Squared Residuals1915.70350973683

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.628414466671814 \tabularnewline
R-squared & 0.394904741922421 \tabularnewline
Adjusted R-squared & 0.373464358762192 \tabularnewline
F-TEST (value) & 18.4187352889732 \tabularnewline
F-TEST (DF numerator) & 9 \tabularnewline
F-TEST (DF denominator) & 254 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.74629565089294 \tabularnewline
Sum Squared Residuals & 1915.70350973683 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=225732&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.628414466671814[/C][/ROW]
[ROW][C]R-squared[/C][C]0.394904741922421[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.373464358762192[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]18.4187352889732[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]9[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]254[/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]2.74629565089294[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1915.70350973683[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=225732&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=225732&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 R0.628414466671814
R-squared0.394904741922421
Adjusted R-squared0.373464358762192
F-TEST (value)18.4187352889732
F-TEST (DF numerator)9
F-TEST (DF denominator)254
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.74629565089294
Sum Squared Residuals1915.70350973683






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11213.9655392583874-1.96553925838743
2119.289166740181131.71083325981887
31415.3517291212124-1.35172912121235
41214.7991315677665-2.79913156776649
52111.19692152490439.80307847509569
6129.746683254335532.25331674566447
72214.38826431527167.61173568472843
81112.2901313067814-1.29013130678142
91011.9793005926597-1.97930059265967
101311.96912441371611.03087558628386
111010.2819426831842-0.281942683184192
12810.3687888636664-2.36878886366642
131515.8477065752957-0.84770657529575
141412.36764357037721.63235642962276
15108.864725132733431.13527486726657
161413.78999075920950.210009240790455
171412.41199036821.5880096318
18119.269050684267831.73094931573217
191013.252051272271-3.252051272271
201312.47841983830620.521580161693806
219.510.4731394032006-0.973139403200648
221415.4431588933246-1.44315889332462
231213.4119449413709-1.4119449413709
241415.4346000714965-1.43460007149649
25119.363580487475811.63641951252419
26914.9237428567394-5.92374285673941
271110.39457804960010.605421950399904
281513.14175818306061.85824181693937
291411.09508706188862.90491293811143
301315.6532578911968-2.65325789119678
31910.8506710153-1.85067101529999
321514.95297910423380.0470208957662006
331010.5830309420411-0.583030942041138
341111.556013214279-0.556013214279
351311.99003542269161.00996457730839
36811.9113733201586-3.91137332015856
372016.88841350891443.1115864910856
381211.8968559658330.103144034166962
391010.2996403498602-0.299640349860214
401013.3652222709521-3.36522227095214
41911.5981462386129-2.5981462386129
421410.73774098760983.2622590123902
43811.7629722700147-3.76297227001471
441415.1254565662334-1.12545656623345
451111.9853946735513-0.985394673551334
461314.7531157447903-1.75311574479027
47912.7533547517656-3.75335475176555
481111.7026245933719-0.702624593371885
49159.672731370117775.32726862988223
501112.7857628854329-1.78576288543295
511011.0445403810223-1.04454038102231
521412.78597615696541.21402384303464
531815.08865097850632.91134902149372
541415.7350069066471-1.73500690664708
551114.6039522080144-3.60395220801443
5614.511.73065939445962.76934060554037
571310.67557058899162.32442941100842
58912.2941136820798-3.29411368207976
591013.3938793049206-3.39387930492061
601513.89346968265441.10653031734562
612018.07857938815291.92142061184706
621212.2262430871174-0.226243087117407
631213.661490915384-1.66149091538396
641413.67922711574650.320772884253458
651312.73002500117170.269974998828316
661115.5749760401043-4.57497604010431
671715.89713583132871.10286416867125
681214.0978865580212-2.09788655802123
691313.3458404844723-0.345840484472252
701412.84883949010281.15116050989718
711314.6207108359188-1.62071083591883
721513.39852240893211.60147759106786
731311.68754415459091.31245584540905
741012.2180165876981-2.21801658769813
751113.0370090732615-2.0370090732615
761914.09208429173654.9079157082635
771311.33612119197271.66387880802726
781714.53121963382592.46878036617406
791312.67091762785560.329082372144351
80915.0303725375871-6.03037253758709
811111.8253241608717-0.825324160871652
82912.9231590754177-3.92315907541767
831211.55853242180790.441467578192065
841212.7426890251384-0.742689025138415
851313.018606727364-0.0186067273640115
861312.36297581253960.637024187460384
871213.4440914265953-1.44409142659526
881515.2055454464772-0.205545446477201
892218.30439616218143.69560383781859
901311.7799953088251.22000469117502
911514.83529333048110.164706669518857
921312.02532450055970.974675499440309
931512.3246146458642.675385354136
9412.513.3929418074039-0.892941807403949
951110.90965690214660.0903430978534262
961614.77591310683511.22408689316491
971112.5561993242376-1.55619932423756
981110.19718286816930.802817131830735
991012.3924072604593-2.39240726045935
1001010.4300147131698-0.430014713169807
1011614.46104433982331.53895566017665
1021210.54729836831911.45270163168093
1031115.9769045070853-4.97690450708531
1041611.84051691738794.15948308261214
1051916.72860882443892.2713911755611
1061111.3875132053993-0.387513205399291
1071612.21793825764373.78206174235626
1081516.940732923637-1.94073292363697
1092417.95577583865066.04422416134936
1101411.67980914750242.3201908524976
1111514.81510831680680.184891683193177
1121112.9679697691858-1.96796976918577
1131513.41500420843551.58499579156453
1141210.36402494733011.63597505266993
1151010.5884328889251-0.588432888925112
1161414.3075756403891-0.307575640389105
1171314.0980685568789-1.09806855687889
118913.4219958872905-4.42199588729052
1191511.74784993252173.25215006747835
1201515.7612130267765-0.761213026776514
1211412.68522642012091.31477357987913
1221111.2452468461568-0.245246846156849
123811.9862132499271-3.98621324992705
1241112.2412674155465-1.24126741554654
1251112.9740347218497-1.97403472184968
12689.71001573931751-1.71001573931751
1271010.2244075327826-0.224407532782566
128119.684802734364581.31519726563542
1291312.48824951969990.511750480300142
1301113.5252901892361-2.52529018923613
1312017.2473051480792.75269485192104
1321011.6511549072942-1.65115490729418
1331513.16141257985081.8385874201492
1341212.2482573816443-0.24825738164431
1351410.95198854747673.04801145252326
1362316.46746577584336.53253422415671
1371414.0986926449806-0.0986926449806444
1381616.8777752672977-0.877775267297653
1391113.1443597892755-2.14435978927549
1401214.0054522131557-2.00545221315568
1411013.4247174388737-3.42471743887374
1421410.88459298350683.11540701649321
1431211.95350787283020.0464921271697806
1441211.68512324750460.314876752495363
1451110.76712737739270.232872622607279
1461211.110808515250.889191484749996
1471315.9576540249876-2.95765402498759
1481114.014294453806-3.01429445380601
1491916.60053320272292.39946679727706
1501211.16050113610890.839498863891055
1511712.58285759180654.4171424081935
152911.1002273795715-2.10022737957147
1531214.2343778907487-2.23437789074872
1541915.45335083769813.54664916230188
1551814.09698993836163.90301006163837
1561514.30193030494920.698069695050777
1571413.43834523491730.561654765082729
158119.438635184119081.56136481588092
159912.5575839377106-3.55758393771059
1601813.49293306372294.50706693627712
1611614.48435330407241.51564669592755
1622417.79106643217636.20893356782369
1631413.22574018331050.774259816689493
1642011.50673422522588.49326577477418
1651816.47629809802381.52370190197616
1662317.73308493579315.26691506420687
1671213.6926979799376-1.69269797993761
1681415.3147243739943-1.31472437399435
1691616.7270317988616-0.72703179886157
1701816.69067325075281.30932674924721
1712017.27536935605382.72463064394621
1721212.2808239758641-0.28082397586409
1731216.7678239018026-4.76782390180257
1741715.7380202986571.261979701343
1751312.49959090861060.500409091389424
176913.5148951488944-4.51489514889444
1771617.8824572309372-1.88245723093724
1781815.47247771536492.5275222846351
1791012.8606188275203-2.86061882752026
1801415.2762685470518-1.27626854705175
1811114.7151579619874-3.71515796198745
182915.0911038503465-6.09110385034649
1831113.0650494250195-2.06504942501951
1841012.8979755200401-2.89797552004008
1851112.1121797903805-1.11217979038049
1861913.67346006794515.32653993205486
1871412.98218733395571.01781266604425
1881211.99442527374570.00557472625429791
1891415.5057074366763-1.50570743667631
1902117.18840366969143.81159633030863
1911315.8967139936739-2.89671399367391
1921012.9454144915637-2.94541449156368
1931513.56937226715231.43062773284772
1941616.7460267038603-0.746026703860316
1951413.13352746502350.866472534976486
1961215.2065801955506-3.2065801955506
1971913.08018349433665.91981650566341
1981512.551040908342.44895909165996
1991918.32664518091730.673354819082706
2001313.5502655237271-0.550265523727125
2011717.4994752945093-0.499475294509345
2021213.0536112172286-1.05361121722863
2031110.96153683492320.0384631650768446
2041415.8647472819-1.86474728189995
2051112.779454948752-1.77945494875202
2061312.67309240421790.326907595782096
2071213.1159304720055-1.11593047200552
2081513.14306306213871.85693693786131
2091414.7498377814583-0.749837781458301
2101211.15249932638860.847500673611389
2111717.7402361325179-0.740236132517887
2121111.6245974710186-0.624597471018636
2131814.78606259973893.21393740026113
2141316.0677150164546-3.0677150164546
2151715.54285599734571.45714400265427
2161313.6430836419146-0.643083641914586
2171110.45081610601940.54918389398057
2181212.8928000733457-0.892800073345721
2192218.17573107258113.82426892741891
2201412.33371308906371.66628691093627
2211215.2059064919978-3.20590649199782
2221212.1361547076336-0.136154707633602
2231716.1225657210510.877434278948975
224913.0181148955834-4.01811489558335
2252117.08335437419153.91664562580854
2261011.9891965455976-1.98919654559757
2271111.2200661311779-0.220066131177934
2281214.6724081614271-2.67240816142713
2292318.43207869350254.56792130649746
2301315.8052347069666-2.80523470696662
2311213.5677161079603-1.56771610796033
2321617.9746291969757-1.9746291969757
233913.7099848266814-4.70998482668143
2341713.82826064315983.17173935684024
235912.0616729929165-3.06167299291652
2361415.728373017692-1.72837301769197
2371715.76340954829171.23659045170826
2381315.7743575452575-2.77435754525748
2391115.865563186353-4.865563186353
2401215.6485046099825-3.64850460998249
2411013.9383721235412-3.93837212354122
2421918.99372972910150.00627027089846352
2431616.1017245483508-0.101724548350796
2441615.14108276660130.858917233398705
2451412.29845699158671.70154300841333
2462015.83972168605274.16027831394735
2471514.54492488573380.455075114266198
2482315.62575473238127.37424526761879
2492017.89152233477042.10847766522959
2501615.91125492316240.0887450768376267
2511412.9190353800631.08096461993702
2521713.8035805654623.19641943453798
2531114.2654216742751-3.26542167427515
2541313.9879132926352-0.987913292635199
2551715.29570634383361.70429365616635
2561515.2081783064481-0.208178306448113
2572115.75531533909355.24468466090645
2581817.74046155315270.259538446847337
2591512.77139674240042.22860325759962
260816.260452585107-8.26045258510696
2611213.5709556494251-1.57095564942509
2621212.7856299535212-0.785629953521151
2632218.89234230804813.10765769195186
2641213.1302564219431-1.13025642194308

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12 & 13.9655392583874 & -1.96553925838743 \tabularnewline
2 & 11 & 9.28916674018113 & 1.71083325981887 \tabularnewline
3 & 14 & 15.3517291212124 & -1.35172912121235 \tabularnewline
4 & 12 & 14.7991315677665 & -2.79913156776649 \tabularnewline
5 & 21 & 11.1969215249043 & 9.80307847509569 \tabularnewline
6 & 12 & 9.74668325433553 & 2.25331674566447 \tabularnewline
7 & 22 & 14.3882643152716 & 7.61173568472843 \tabularnewline
8 & 11 & 12.2901313067814 & -1.29013130678142 \tabularnewline
9 & 10 & 11.9793005926597 & -1.97930059265967 \tabularnewline
10 & 13 & 11.9691244137161 & 1.03087558628386 \tabularnewline
11 & 10 & 10.2819426831842 & -0.281942683184192 \tabularnewline
12 & 8 & 10.3687888636664 & -2.36878886366642 \tabularnewline
13 & 15 & 15.8477065752957 & -0.84770657529575 \tabularnewline
14 & 14 & 12.3676435703772 & 1.63235642962276 \tabularnewline
15 & 10 & 8.86472513273343 & 1.13527486726657 \tabularnewline
16 & 14 & 13.7899907592095 & 0.210009240790455 \tabularnewline
17 & 14 & 12.4119903682 & 1.5880096318 \tabularnewline
18 & 11 & 9.26905068426783 & 1.73094931573217 \tabularnewline
19 & 10 & 13.252051272271 & -3.252051272271 \tabularnewline
20 & 13 & 12.4784198383062 & 0.521580161693806 \tabularnewline
21 & 9.5 & 10.4731394032006 & -0.973139403200648 \tabularnewline
22 & 14 & 15.4431588933246 & -1.44315889332462 \tabularnewline
23 & 12 & 13.4119449413709 & -1.4119449413709 \tabularnewline
24 & 14 & 15.4346000714965 & -1.43460007149649 \tabularnewline
25 & 11 & 9.36358048747581 & 1.63641951252419 \tabularnewline
26 & 9 & 14.9237428567394 & -5.92374285673941 \tabularnewline
27 & 11 & 10.3945780496001 & 0.605421950399904 \tabularnewline
28 & 15 & 13.1417581830606 & 1.85824181693937 \tabularnewline
29 & 14 & 11.0950870618886 & 2.90491293811143 \tabularnewline
30 & 13 & 15.6532578911968 & -2.65325789119678 \tabularnewline
31 & 9 & 10.8506710153 & -1.85067101529999 \tabularnewline
32 & 15 & 14.9529791042338 & 0.0470208957662006 \tabularnewline
33 & 10 & 10.5830309420411 & -0.583030942041138 \tabularnewline
34 & 11 & 11.556013214279 & -0.556013214279 \tabularnewline
35 & 13 & 11.9900354226916 & 1.00996457730839 \tabularnewline
36 & 8 & 11.9113733201586 & -3.91137332015856 \tabularnewline
37 & 20 & 16.8884135089144 & 3.1115864910856 \tabularnewline
38 & 12 & 11.896855965833 & 0.103144034166962 \tabularnewline
39 & 10 & 10.2996403498602 & -0.299640349860214 \tabularnewline
40 & 10 & 13.3652222709521 & -3.36522227095214 \tabularnewline
41 & 9 & 11.5981462386129 & -2.5981462386129 \tabularnewline
42 & 14 & 10.7377409876098 & 3.2622590123902 \tabularnewline
43 & 8 & 11.7629722700147 & -3.76297227001471 \tabularnewline
44 & 14 & 15.1254565662334 & -1.12545656623345 \tabularnewline
45 & 11 & 11.9853946735513 & -0.985394673551334 \tabularnewline
46 & 13 & 14.7531157447903 & -1.75311574479027 \tabularnewline
47 & 9 & 12.7533547517656 & -3.75335475176555 \tabularnewline
48 & 11 & 11.7026245933719 & -0.702624593371885 \tabularnewline
49 & 15 & 9.67273137011777 & 5.32726862988223 \tabularnewline
50 & 11 & 12.7857628854329 & -1.78576288543295 \tabularnewline
51 & 10 & 11.0445403810223 & -1.04454038102231 \tabularnewline
52 & 14 & 12.7859761569654 & 1.21402384303464 \tabularnewline
53 & 18 & 15.0886509785063 & 2.91134902149372 \tabularnewline
54 & 14 & 15.7350069066471 & -1.73500690664708 \tabularnewline
55 & 11 & 14.6039522080144 & -3.60395220801443 \tabularnewline
56 & 14.5 & 11.7306593944596 & 2.76934060554037 \tabularnewline
57 & 13 & 10.6755705889916 & 2.32442941100842 \tabularnewline
58 & 9 & 12.2941136820798 & -3.29411368207976 \tabularnewline
59 & 10 & 13.3938793049206 & -3.39387930492061 \tabularnewline
60 & 15 & 13.8934696826544 & 1.10653031734562 \tabularnewline
61 & 20 & 18.0785793881529 & 1.92142061184706 \tabularnewline
62 & 12 & 12.2262430871174 & -0.226243087117407 \tabularnewline
63 & 12 & 13.661490915384 & -1.66149091538396 \tabularnewline
64 & 14 & 13.6792271157465 & 0.320772884253458 \tabularnewline
65 & 13 & 12.7300250011717 & 0.269974998828316 \tabularnewline
66 & 11 & 15.5749760401043 & -4.57497604010431 \tabularnewline
67 & 17 & 15.8971358313287 & 1.10286416867125 \tabularnewline
68 & 12 & 14.0978865580212 & -2.09788655802123 \tabularnewline
69 & 13 & 13.3458404844723 & -0.345840484472252 \tabularnewline
70 & 14 & 12.8488394901028 & 1.15116050989718 \tabularnewline
71 & 13 & 14.6207108359188 & -1.62071083591883 \tabularnewline
72 & 15 & 13.3985224089321 & 1.60147759106786 \tabularnewline
73 & 13 & 11.6875441545909 & 1.31245584540905 \tabularnewline
74 & 10 & 12.2180165876981 & -2.21801658769813 \tabularnewline
75 & 11 & 13.0370090732615 & -2.0370090732615 \tabularnewline
76 & 19 & 14.0920842917365 & 4.9079157082635 \tabularnewline
77 & 13 & 11.3361211919727 & 1.66387880802726 \tabularnewline
78 & 17 & 14.5312196338259 & 2.46878036617406 \tabularnewline
79 & 13 & 12.6709176278556 & 0.329082372144351 \tabularnewline
80 & 9 & 15.0303725375871 & -6.03037253758709 \tabularnewline
81 & 11 & 11.8253241608717 & -0.825324160871652 \tabularnewline
82 & 9 & 12.9231590754177 & -3.92315907541767 \tabularnewline
83 & 12 & 11.5585324218079 & 0.441467578192065 \tabularnewline
84 & 12 & 12.7426890251384 & -0.742689025138415 \tabularnewline
85 & 13 & 13.018606727364 & -0.0186067273640115 \tabularnewline
86 & 13 & 12.3629758125396 & 0.637024187460384 \tabularnewline
87 & 12 & 13.4440914265953 & -1.44409142659526 \tabularnewline
88 & 15 & 15.2055454464772 & -0.205545446477201 \tabularnewline
89 & 22 & 18.3043961621814 & 3.69560383781859 \tabularnewline
90 & 13 & 11.779995308825 & 1.22000469117502 \tabularnewline
91 & 15 & 14.8352933304811 & 0.164706669518857 \tabularnewline
92 & 13 & 12.0253245005597 & 0.974675499440309 \tabularnewline
93 & 15 & 12.324614645864 & 2.675385354136 \tabularnewline
94 & 12.5 & 13.3929418074039 & -0.892941807403949 \tabularnewline
95 & 11 & 10.9096569021466 & 0.0903430978534262 \tabularnewline
96 & 16 & 14.7759131068351 & 1.22408689316491 \tabularnewline
97 & 11 & 12.5561993242376 & -1.55619932423756 \tabularnewline
98 & 11 & 10.1971828681693 & 0.802817131830735 \tabularnewline
99 & 10 & 12.3924072604593 & -2.39240726045935 \tabularnewline
100 & 10 & 10.4300147131698 & -0.430014713169807 \tabularnewline
101 & 16 & 14.4610443398233 & 1.53895566017665 \tabularnewline
102 & 12 & 10.5472983683191 & 1.45270163168093 \tabularnewline
103 & 11 & 15.9769045070853 & -4.97690450708531 \tabularnewline
104 & 16 & 11.8405169173879 & 4.15948308261214 \tabularnewline
105 & 19 & 16.7286088244389 & 2.2713911755611 \tabularnewline
106 & 11 & 11.3875132053993 & -0.387513205399291 \tabularnewline
107 & 16 & 12.2179382576437 & 3.78206174235626 \tabularnewline
108 & 15 & 16.940732923637 & -1.94073292363697 \tabularnewline
109 & 24 & 17.9557758386506 & 6.04422416134936 \tabularnewline
110 & 14 & 11.6798091475024 & 2.3201908524976 \tabularnewline
111 & 15 & 14.8151083168068 & 0.184891683193177 \tabularnewline
112 & 11 & 12.9679697691858 & -1.96796976918577 \tabularnewline
113 & 15 & 13.4150042084355 & 1.58499579156453 \tabularnewline
114 & 12 & 10.3640249473301 & 1.63597505266993 \tabularnewline
115 & 10 & 10.5884328889251 & -0.588432888925112 \tabularnewline
116 & 14 & 14.3075756403891 & -0.307575640389105 \tabularnewline
117 & 13 & 14.0980685568789 & -1.09806855687889 \tabularnewline
118 & 9 & 13.4219958872905 & -4.42199588729052 \tabularnewline
119 & 15 & 11.7478499325217 & 3.25215006747835 \tabularnewline
120 & 15 & 15.7612130267765 & -0.761213026776514 \tabularnewline
121 & 14 & 12.6852264201209 & 1.31477357987913 \tabularnewline
122 & 11 & 11.2452468461568 & -0.245246846156849 \tabularnewline
123 & 8 & 11.9862132499271 & -3.98621324992705 \tabularnewline
124 & 11 & 12.2412674155465 & -1.24126741554654 \tabularnewline
125 & 11 & 12.9740347218497 & -1.97403472184968 \tabularnewline
126 & 8 & 9.71001573931751 & -1.71001573931751 \tabularnewline
127 & 10 & 10.2244075327826 & -0.224407532782566 \tabularnewline
128 & 11 & 9.68480273436458 & 1.31519726563542 \tabularnewline
129 & 13 & 12.4882495196999 & 0.511750480300142 \tabularnewline
130 & 11 & 13.5252901892361 & -2.52529018923613 \tabularnewline
131 & 20 & 17.247305148079 & 2.75269485192104 \tabularnewline
132 & 10 & 11.6511549072942 & -1.65115490729418 \tabularnewline
133 & 15 & 13.1614125798508 & 1.8385874201492 \tabularnewline
134 & 12 & 12.2482573816443 & -0.24825738164431 \tabularnewline
135 & 14 & 10.9519885474767 & 3.04801145252326 \tabularnewline
136 & 23 & 16.4674657758433 & 6.53253422415671 \tabularnewline
137 & 14 & 14.0986926449806 & -0.0986926449806444 \tabularnewline
138 & 16 & 16.8777752672977 & -0.877775267297653 \tabularnewline
139 & 11 & 13.1443597892755 & -2.14435978927549 \tabularnewline
140 & 12 & 14.0054522131557 & -2.00545221315568 \tabularnewline
141 & 10 & 13.4247174388737 & -3.42471743887374 \tabularnewline
142 & 14 & 10.8845929835068 & 3.11540701649321 \tabularnewline
143 & 12 & 11.9535078728302 & 0.0464921271697806 \tabularnewline
144 & 12 & 11.6851232475046 & 0.314876752495363 \tabularnewline
145 & 11 & 10.7671273773927 & 0.232872622607279 \tabularnewline
146 & 12 & 11.11080851525 & 0.889191484749996 \tabularnewline
147 & 13 & 15.9576540249876 & -2.95765402498759 \tabularnewline
148 & 11 & 14.014294453806 & -3.01429445380601 \tabularnewline
149 & 19 & 16.6005332027229 & 2.39946679727706 \tabularnewline
150 & 12 & 11.1605011361089 & 0.839498863891055 \tabularnewline
151 & 17 & 12.5828575918065 & 4.4171424081935 \tabularnewline
152 & 9 & 11.1002273795715 & -2.10022737957147 \tabularnewline
153 & 12 & 14.2343778907487 & -2.23437789074872 \tabularnewline
154 & 19 & 15.4533508376981 & 3.54664916230188 \tabularnewline
155 & 18 & 14.0969899383616 & 3.90301006163837 \tabularnewline
156 & 15 & 14.3019303049492 & 0.698069695050777 \tabularnewline
157 & 14 & 13.4383452349173 & 0.561654765082729 \tabularnewline
158 & 11 & 9.43863518411908 & 1.56136481588092 \tabularnewline
159 & 9 & 12.5575839377106 & -3.55758393771059 \tabularnewline
160 & 18 & 13.4929330637229 & 4.50706693627712 \tabularnewline
161 & 16 & 14.4843533040724 & 1.51564669592755 \tabularnewline
162 & 24 & 17.7910664321763 & 6.20893356782369 \tabularnewline
163 & 14 & 13.2257401833105 & 0.774259816689493 \tabularnewline
164 & 20 & 11.5067342252258 & 8.49326577477418 \tabularnewline
165 & 18 & 16.4762980980238 & 1.52370190197616 \tabularnewline
166 & 23 & 17.7330849357931 & 5.26691506420687 \tabularnewline
167 & 12 & 13.6926979799376 & -1.69269797993761 \tabularnewline
168 & 14 & 15.3147243739943 & -1.31472437399435 \tabularnewline
169 & 16 & 16.7270317988616 & -0.72703179886157 \tabularnewline
170 & 18 & 16.6906732507528 & 1.30932674924721 \tabularnewline
171 & 20 & 17.2753693560538 & 2.72463064394621 \tabularnewline
172 & 12 & 12.2808239758641 & -0.28082397586409 \tabularnewline
173 & 12 & 16.7678239018026 & -4.76782390180257 \tabularnewline
174 & 17 & 15.738020298657 & 1.261979701343 \tabularnewline
175 & 13 & 12.4995909086106 & 0.500409091389424 \tabularnewline
176 & 9 & 13.5148951488944 & -4.51489514889444 \tabularnewline
177 & 16 & 17.8824572309372 & -1.88245723093724 \tabularnewline
178 & 18 & 15.4724777153649 & 2.5275222846351 \tabularnewline
179 & 10 & 12.8606188275203 & -2.86061882752026 \tabularnewline
180 & 14 & 15.2762685470518 & -1.27626854705175 \tabularnewline
181 & 11 & 14.7151579619874 & -3.71515796198745 \tabularnewline
182 & 9 & 15.0911038503465 & -6.09110385034649 \tabularnewline
183 & 11 & 13.0650494250195 & -2.06504942501951 \tabularnewline
184 & 10 & 12.8979755200401 & -2.89797552004008 \tabularnewline
185 & 11 & 12.1121797903805 & -1.11217979038049 \tabularnewline
186 & 19 & 13.6734600679451 & 5.32653993205486 \tabularnewline
187 & 14 & 12.9821873339557 & 1.01781266604425 \tabularnewline
188 & 12 & 11.9944252737457 & 0.00557472625429791 \tabularnewline
189 & 14 & 15.5057074366763 & -1.50570743667631 \tabularnewline
190 & 21 & 17.1884036696914 & 3.81159633030863 \tabularnewline
191 & 13 & 15.8967139936739 & -2.89671399367391 \tabularnewline
192 & 10 & 12.9454144915637 & -2.94541449156368 \tabularnewline
193 & 15 & 13.5693722671523 & 1.43062773284772 \tabularnewline
194 & 16 & 16.7460267038603 & -0.746026703860316 \tabularnewline
195 & 14 & 13.1335274650235 & 0.866472534976486 \tabularnewline
196 & 12 & 15.2065801955506 & -3.2065801955506 \tabularnewline
197 & 19 & 13.0801834943366 & 5.91981650566341 \tabularnewline
198 & 15 & 12.55104090834 & 2.44895909165996 \tabularnewline
199 & 19 & 18.3266451809173 & 0.673354819082706 \tabularnewline
200 & 13 & 13.5502655237271 & -0.550265523727125 \tabularnewline
201 & 17 & 17.4994752945093 & -0.499475294509345 \tabularnewline
202 & 12 & 13.0536112172286 & -1.05361121722863 \tabularnewline
203 & 11 & 10.9615368349232 & 0.0384631650768446 \tabularnewline
204 & 14 & 15.8647472819 & -1.86474728189995 \tabularnewline
205 & 11 & 12.779454948752 & -1.77945494875202 \tabularnewline
206 & 13 & 12.6730924042179 & 0.326907595782096 \tabularnewline
207 & 12 & 13.1159304720055 & -1.11593047200552 \tabularnewline
208 & 15 & 13.1430630621387 & 1.85693693786131 \tabularnewline
209 & 14 & 14.7498377814583 & -0.749837781458301 \tabularnewline
210 & 12 & 11.1524993263886 & 0.847500673611389 \tabularnewline
211 & 17 & 17.7402361325179 & -0.740236132517887 \tabularnewline
212 & 11 & 11.6245974710186 & -0.624597471018636 \tabularnewline
213 & 18 & 14.7860625997389 & 3.21393740026113 \tabularnewline
214 & 13 & 16.0677150164546 & -3.0677150164546 \tabularnewline
215 & 17 & 15.5428559973457 & 1.45714400265427 \tabularnewline
216 & 13 & 13.6430836419146 & -0.643083641914586 \tabularnewline
217 & 11 & 10.4508161060194 & 0.54918389398057 \tabularnewline
218 & 12 & 12.8928000733457 & -0.892800073345721 \tabularnewline
219 & 22 & 18.1757310725811 & 3.82426892741891 \tabularnewline
220 & 14 & 12.3337130890637 & 1.66628691093627 \tabularnewline
221 & 12 & 15.2059064919978 & -3.20590649199782 \tabularnewline
222 & 12 & 12.1361547076336 & -0.136154707633602 \tabularnewline
223 & 17 & 16.122565721051 & 0.877434278948975 \tabularnewline
224 & 9 & 13.0181148955834 & -4.01811489558335 \tabularnewline
225 & 21 & 17.0833543741915 & 3.91664562580854 \tabularnewline
226 & 10 & 11.9891965455976 & -1.98919654559757 \tabularnewline
227 & 11 & 11.2200661311779 & -0.220066131177934 \tabularnewline
228 & 12 & 14.6724081614271 & -2.67240816142713 \tabularnewline
229 & 23 & 18.4320786935025 & 4.56792130649746 \tabularnewline
230 & 13 & 15.8052347069666 & -2.80523470696662 \tabularnewline
231 & 12 & 13.5677161079603 & -1.56771610796033 \tabularnewline
232 & 16 & 17.9746291969757 & -1.9746291969757 \tabularnewline
233 & 9 & 13.7099848266814 & -4.70998482668143 \tabularnewline
234 & 17 & 13.8282606431598 & 3.17173935684024 \tabularnewline
235 & 9 & 12.0616729929165 & -3.06167299291652 \tabularnewline
236 & 14 & 15.728373017692 & -1.72837301769197 \tabularnewline
237 & 17 & 15.7634095482917 & 1.23659045170826 \tabularnewline
238 & 13 & 15.7743575452575 & -2.77435754525748 \tabularnewline
239 & 11 & 15.865563186353 & -4.865563186353 \tabularnewline
240 & 12 & 15.6485046099825 & -3.64850460998249 \tabularnewline
241 & 10 & 13.9383721235412 & -3.93837212354122 \tabularnewline
242 & 19 & 18.9937297291015 & 0.00627027089846352 \tabularnewline
243 & 16 & 16.1017245483508 & -0.101724548350796 \tabularnewline
244 & 16 & 15.1410827666013 & 0.858917233398705 \tabularnewline
245 & 14 & 12.2984569915867 & 1.70154300841333 \tabularnewline
246 & 20 & 15.8397216860527 & 4.16027831394735 \tabularnewline
247 & 15 & 14.5449248857338 & 0.455075114266198 \tabularnewline
248 & 23 & 15.6257547323812 & 7.37424526761879 \tabularnewline
249 & 20 & 17.8915223347704 & 2.10847766522959 \tabularnewline
250 & 16 & 15.9112549231624 & 0.0887450768376267 \tabularnewline
251 & 14 & 12.919035380063 & 1.08096461993702 \tabularnewline
252 & 17 & 13.803580565462 & 3.19641943453798 \tabularnewline
253 & 11 & 14.2654216742751 & -3.26542167427515 \tabularnewline
254 & 13 & 13.9879132926352 & -0.987913292635199 \tabularnewline
255 & 17 & 15.2957063438336 & 1.70429365616635 \tabularnewline
256 & 15 & 15.2081783064481 & -0.208178306448113 \tabularnewline
257 & 21 & 15.7553153390935 & 5.24468466090645 \tabularnewline
258 & 18 & 17.7404615531527 & 0.259538446847337 \tabularnewline
259 & 15 & 12.7713967424004 & 2.22860325759962 \tabularnewline
260 & 8 & 16.260452585107 & -8.26045258510696 \tabularnewline
261 & 12 & 13.5709556494251 & -1.57095564942509 \tabularnewline
262 & 12 & 12.7856299535212 & -0.785629953521151 \tabularnewline
263 & 22 & 18.8923423080481 & 3.10765769195186 \tabularnewline
264 & 12 & 13.1302564219431 & -1.13025642194308 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=225732&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]12[/C][C]13.9655392583874[/C][C]-1.96553925838743[/C][/ROW]
[ROW][C]2[/C][C]11[/C][C]9.28916674018113[/C][C]1.71083325981887[/C][/ROW]
[ROW][C]3[/C][C]14[/C][C]15.3517291212124[/C][C]-1.35172912121235[/C][/ROW]
[ROW][C]4[/C][C]12[/C][C]14.7991315677665[/C][C]-2.79913156776649[/C][/ROW]
[ROW][C]5[/C][C]21[/C][C]11.1969215249043[/C][C]9.80307847509569[/C][/ROW]
[ROW][C]6[/C][C]12[/C][C]9.74668325433553[/C][C]2.25331674566447[/C][/ROW]
[ROW][C]7[/C][C]22[/C][C]14.3882643152716[/C][C]7.61173568472843[/C][/ROW]
[ROW][C]8[/C][C]11[/C][C]12.2901313067814[/C][C]-1.29013130678142[/C][/ROW]
[ROW][C]9[/C][C]10[/C][C]11.9793005926597[/C][C]-1.97930059265967[/C][/ROW]
[ROW][C]10[/C][C]13[/C][C]11.9691244137161[/C][C]1.03087558628386[/C][/ROW]
[ROW][C]11[/C][C]10[/C][C]10.2819426831842[/C][C]-0.281942683184192[/C][/ROW]
[ROW][C]12[/C][C]8[/C][C]10.3687888636664[/C][C]-2.36878886366642[/C][/ROW]
[ROW][C]13[/C][C]15[/C][C]15.8477065752957[/C][C]-0.84770657529575[/C][/ROW]
[ROW][C]14[/C][C]14[/C][C]12.3676435703772[/C][C]1.63235642962276[/C][/ROW]
[ROW][C]15[/C][C]10[/C][C]8.86472513273343[/C][C]1.13527486726657[/C][/ROW]
[ROW][C]16[/C][C]14[/C][C]13.7899907592095[/C][C]0.210009240790455[/C][/ROW]
[ROW][C]17[/C][C]14[/C][C]12.4119903682[/C][C]1.5880096318[/C][/ROW]
[ROW][C]18[/C][C]11[/C][C]9.26905068426783[/C][C]1.73094931573217[/C][/ROW]
[ROW][C]19[/C][C]10[/C][C]13.252051272271[/C][C]-3.252051272271[/C][/ROW]
[ROW][C]20[/C][C]13[/C][C]12.4784198383062[/C][C]0.521580161693806[/C][/ROW]
[ROW][C]21[/C][C]9.5[/C][C]10.4731394032006[/C][C]-0.973139403200648[/C][/ROW]
[ROW][C]22[/C][C]14[/C][C]15.4431588933246[/C][C]-1.44315889332462[/C][/ROW]
[ROW][C]23[/C][C]12[/C][C]13.4119449413709[/C][C]-1.4119449413709[/C][/ROW]
[ROW][C]24[/C][C]14[/C][C]15.4346000714965[/C][C]-1.43460007149649[/C][/ROW]
[ROW][C]25[/C][C]11[/C][C]9.36358048747581[/C][C]1.63641951252419[/C][/ROW]
[ROW][C]26[/C][C]9[/C][C]14.9237428567394[/C][C]-5.92374285673941[/C][/ROW]
[ROW][C]27[/C][C]11[/C][C]10.3945780496001[/C][C]0.605421950399904[/C][/ROW]
[ROW][C]28[/C][C]15[/C][C]13.1417581830606[/C][C]1.85824181693937[/C][/ROW]
[ROW][C]29[/C][C]14[/C][C]11.0950870618886[/C][C]2.90491293811143[/C][/ROW]
[ROW][C]30[/C][C]13[/C][C]15.6532578911968[/C][C]-2.65325789119678[/C][/ROW]
[ROW][C]31[/C][C]9[/C][C]10.8506710153[/C][C]-1.85067101529999[/C][/ROW]
[ROW][C]32[/C][C]15[/C][C]14.9529791042338[/C][C]0.0470208957662006[/C][/ROW]
[ROW][C]33[/C][C]10[/C][C]10.5830309420411[/C][C]-0.583030942041138[/C][/ROW]
[ROW][C]34[/C][C]11[/C][C]11.556013214279[/C][C]-0.556013214279[/C][/ROW]
[ROW][C]35[/C][C]13[/C][C]11.9900354226916[/C][C]1.00996457730839[/C][/ROW]
[ROW][C]36[/C][C]8[/C][C]11.9113733201586[/C][C]-3.91137332015856[/C][/ROW]
[ROW][C]37[/C][C]20[/C][C]16.8884135089144[/C][C]3.1115864910856[/C][/ROW]
[ROW][C]38[/C][C]12[/C][C]11.896855965833[/C][C]0.103144034166962[/C][/ROW]
[ROW][C]39[/C][C]10[/C][C]10.2996403498602[/C][C]-0.299640349860214[/C][/ROW]
[ROW][C]40[/C][C]10[/C][C]13.3652222709521[/C][C]-3.36522227095214[/C][/ROW]
[ROW][C]41[/C][C]9[/C][C]11.5981462386129[/C][C]-2.5981462386129[/C][/ROW]
[ROW][C]42[/C][C]14[/C][C]10.7377409876098[/C][C]3.2622590123902[/C][/ROW]
[ROW][C]43[/C][C]8[/C][C]11.7629722700147[/C][C]-3.76297227001471[/C][/ROW]
[ROW][C]44[/C][C]14[/C][C]15.1254565662334[/C][C]-1.12545656623345[/C][/ROW]
[ROW][C]45[/C][C]11[/C][C]11.9853946735513[/C][C]-0.985394673551334[/C][/ROW]
[ROW][C]46[/C][C]13[/C][C]14.7531157447903[/C][C]-1.75311574479027[/C][/ROW]
[ROW][C]47[/C][C]9[/C][C]12.7533547517656[/C][C]-3.75335475176555[/C][/ROW]
[ROW][C]48[/C][C]11[/C][C]11.7026245933719[/C][C]-0.702624593371885[/C][/ROW]
[ROW][C]49[/C][C]15[/C][C]9.67273137011777[/C][C]5.32726862988223[/C][/ROW]
[ROW][C]50[/C][C]11[/C][C]12.7857628854329[/C][C]-1.78576288543295[/C][/ROW]
[ROW][C]51[/C][C]10[/C][C]11.0445403810223[/C][C]-1.04454038102231[/C][/ROW]
[ROW][C]52[/C][C]14[/C][C]12.7859761569654[/C][C]1.21402384303464[/C][/ROW]
[ROW][C]53[/C][C]18[/C][C]15.0886509785063[/C][C]2.91134902149372[/C][/ROW]
[ROW][C]54[/C][C]14[/C][C]15.7350069066471[/C][C]-1.73500690664708[/C][/ROW]
[ROW][C]55[/C][C]11[/C][C]14.6039522080144[/C][C]-3.60395220801443[/C][/ROW]
[ROW][C]56[/C][C]14.5[/C][C]11.7306593944596[/C][C]2.76934060554037[/C][/ROW]
[ROW][C]57[/C][C]13[/C][C]10.6755705889916[/C][C]2.32442941100842[/C][/ROW]
[ROW][C]58[/C][C]9[/C][C]12.2941136820798[/C][C]-3.29411368207976[/C][/ROW]
[ROW][C]59[/C][C]10[/C][C]13.3938793049206[/C][C]-3.39387930492061[/C][/ROW]
[ROW][C]60[/C][C]15[/C][C]13.8934696826544[/C][C]1.10653031734562[/C][/ROW]
[ROW][C]61[/C][C]20[/C][C]18.0785793881529[/C][C]1.92142061184706[/C][/ROW]
[ROW][C]62[/C][C]12[/C][C]12.2262430871174[/C][C]-0.226243087117407[/C][/ROW]
[ROW][C]63[/C][C]12[/C][C]13.661490915384[/C][C]-1.66149091538396[/C][/ROW]
[ROW][C]64[/C][C]14[/C][C]13.6792271157465[/C][C]0.320772884253458[/C][/ROW]
[ROW][C]65[/C][C]13[/C][C]12.7300250011717[/C][C]0.269974998828316[/C][/ROW]
[ROW][C]66[/C][C]11[/C][C]15.5749760401043[/C][C]-4.57497604010431[/C][/ROW]
[ROW][C]67[/C][C]17[/C][C]15.8971358313287[/C][C]1.10286416867125[/C][/ROW]
[ROW][C]68[/C][C]12[/C][C]14.0978865580212[/C][C]-2.09788655802123[/C][/ROW]
[ROW][C]69[/C][C]13[/C][C]13.3458404844723[/C][C]-0.345840484472252[/C][/ROW]
[ROW][C]70[/C][C]14[/C][C]12.8488394901028[/C][C]1.15116050989718[/C][/ROW]
[ROW][C]71[/C][C]13[/C][C]14.6207108359188[/C][C]-1.62071083591883[/C][/ROW]
[ROW][C]72[/C][C]15[/C][C]13.3985224089321[/C][C]1.60147759106786[/C][/ROW]
[ROW][C]73[/C][C]13[/C][C]11.6875441545909[/C][C]1.31245584540905[/C][/ROW]
[ROW][C]74[/C][C]10[/C][C]12.2180165876981[/C][C]-2.21801658769813[/C][/ROW]
[ROW][C]75[/C][C]11[/C][C]13.0370090732615[/C][C]-2.0370090732615[/C][/ROW]
[ROW][C]76[/C][C]19[/C][C]14.0920842917365[/C][C]4.9079157082635[/C][/ROW]
[ROW][C]77[/C][C]13[/C][C]11.3361211919727[/C][C]1.66387880802726[/C][/ROW]
[ROW][C]78[/C][C]17[/C][C]14.5312196338259[/C][C]2.46878036617406[/C][/ROW]
[ROW][C]79[/C][C]13[/C][C]12.6709176278556[/C][C]0.329082372144351[/C][/ROW]
[ROW][C]80[/C][C]9[/C][C]15.0303725375871[/C][C]-6.03037253758709[/C][/ROW]
[ROW][C]81[/C][C]11[/C][C]11.8253241608717[/C][C]-0.825324160871652[/C][/ROW]
[ROW][C]82[/C][C]9[/C][C]12.9231590754177[/C][C]-3.92315907541767[/C][/ROW]
[ROW][C]83[/C][C]12[/C][C]11.5585324218079[/C][C]0.441467578192065[/C][/ROW]
[ROW][C]84[/C][C]12[/C][C]12.7426890251384[/C][C]-0.742689025138415[/C][/ROW]
[ROW][C]85[/C][C]13[/C][C]13.018606727364[/C][C]-0.0186067273640115[/C][/ROW]
[ROW][C]86[/C][C]13[/C][C]12.3629758125396[/C][C]0.637024187460384[/C][/ROW]
[ROW][C]87[/C][C]12[/C][C]13.4440914265953[/C][C]-1.44409142659526[/C][/ROW]
[ROW][C]88[/C][C]15[/C][C]15.2055454464772[/C][C]-0.205545446477201[/C][/ROW]
[ROW][C]89[/C][C]22[/C][C]18.3043961621814[/C][C]3.69560383781859[/C][/ROW]
[ROW][C]90[/C][C]13[/C][C]11.779995308825[/C][C]1.22000469117502[/C][/ROW]
[ROW][C]91[/C][C]15[/C][C]14.8352933304811[/C][C]0.164706669518857[/C][/ROW]
[ROW][C]92[/C][C]13[/C][C]12.0253245005597[/C][C]0.974675499440309[/C][/ROW]
[ROW][C]93[/C][C]15[/C][C]12.324614645864[/C][C]2.675385354136[/C][/ROW]
[ROW][C]94[/C][C]12.5[/C][C]13.3929418074039[/C][C]-0.892941807403949[/C][/ROW]
[ROW][C]95[/C][C]11[/C][C]10.9096569021466[/C][C]0.0903430978534262[/C][/ROW]
[ROW][C]96[/C][C]16[/C][C]14.7759131068351[/C][C]1.22408689316491[/C][/ROW]
[ROW][C]97[/C][C]11[/C][C]12.5561993242376[/C][C]-1.55619932423756[/C][/ROW]
[ROW][C]98[/C][C]11[/C][C]10.1971828681693[/C][C]0.802817131830735[/C][/ROW]
[ROW][C]99[/C][C]10[/C][C]12.3924072604593[/C][C]-2.39240726045935[/C][/ROW]
[ROW][C]100[/C][C]10[/C][C]10.4300147131698[/C][C]-0.430014713169807[/C][/ROW]
[ROW][C]101[/C][C]16[/C][C]14.4610443398233[/C][C]1.53895566017665[/C][/ROW]
[ROW][C]102[/C][C]12[/C][C]10.5472983683191[/C][C]1.45270163168093[/C][/ROW]
[ROW][C]103[/C][C]11[/C][C]15.9769045070853[/C][C]-4.97690450708531[/C][/ROW]
[ROW][C]104[/C][C]16[/C][C]11.8405169173879[/C][C]4.15948308261214[/C][/ROW]
[ROW][C]105[/C][C]19[/C][C]16.7286088244389[/C][C]2.2713911755611[/C][/ROW]
[ROW][C]106[/C][C]11[/C][C]11.3875132053993[/C][C]-0.387513205399291[/C][/ROW]
[ROW][C]107[/C][C]16[/C][C]12.2179382576437[/C][C]3.78206174235626[/C][/ROW]
[ROW][C]108[/C][C]15[/C][C]16.940732923637[/C][C]-1.94073292363697[/C][/ROW]
[ROW][C]109[/C][C]24[/C][C]17.9557758386506[/C][C]6.04422416134936[/C][/ROW]
[ROW][C]110[/C][C]14[/C][C]11.6798091475024[/C][C]2.3201908524976[/C][/ROW]
[ROW][C]111[/C][C]15[/C][C]14.8151083168068[/C][C]0.184891683193177[/C][/ROW]
[ROW][C]112[/C][C]11[/C][C]12.9679697691858[/C][C]-1.96796976918577[/C][/ROW]
[ROW][C]113[/C][C]15[/C][C]13.4150042084355[/C][C]1.58499579156453[/C][/ROW]
[ROW][C]114[/C][C]12[/C][C]10.3640249473301[/C][C]1.63597505266993[/C][/ROW]
[ROW][C]115[/C][C]10[/C][C]10.5884328889251[/C][C]-0.588432888925112[/C][/ROW]
[ROW][C]116[/C][C]14[/C][C]14.3075756403891[/C][C]-0.307575640389105[/C][/ROW]
[ROW][C]117[/C][C]13[/C][C]14.0980685568789[/C][C]-1.09806855687889[/C][/ROW]
[ROW][C]118[/C][C]9[/C][C]13.4219958872905[/C][C]-4.42199588729052[/C][/ROW]
[ROW][C]119[/C][C]15[/C][C]11.7478499325217[/C][C]3.25215006747835[/C][/ROW]
[ROW][C]120[/C][C]15[/C][C]15.7612130267765[/C][C]-0.761213026776514[/C][/ROW]
[ROW][C]121[/C][C]14[/C][C]12.6852264201209[/C][C]1.31477357987913[/C][/ROW]
[ROW][C]122[/C][C]11[/C][C]11.2452468461568[/C][C]-0.245246846156849[/C][/ROW]
[ROW][C]123[/C][C]8[/C][C]11.9862132499271[/C][C]-3.98621324992705[/C][/ROW]
[ROW][C]124[/C][C]11[/C][C]12.2412674155465[/C][C]-1.24126741554654[/C][/ROW]
[ROW][C]125[/C][C]11[/C][C]12.9740347218497[/C][C]-1.97403472184968[/C][/ROW]
[ROW][C]126[/C][C]8[/C][C]9.71001573931751[/C][C]-1.71001573931751[/C][/ROW]
[ROW][C]127[/C][C]10[/C][C]10.2244075327826[/C][C]-0.224407532782566[/C][/ROW]
[ROW][C]128[/C][C]11[/C][C]9.68480273436458[/C][C]1.31519726563542[/C][/ROW]
[ROW][C]129[/C][C]13[/C][C]12.4882495196999[/C][C]0.511750480300142[/C][/ROW]
[ROW][C]130[/C][C]11[/C][C]13.5252901892361[/C][C]-2.52529018923613[/C][/ROW]
[ROW][C]131[/C][C]20[/C][C]17.247305148079[/C][C]2.75269485192104[/C][/ROW]
[ROW][C]132[/C][C]10[/C][C]11.6511549072942[/C][C]-1.65115490729418[/C][/ROW]
[ROW][C]133[/C][C]15[/C][C]13.1614125798508[/C][C]1.8385874201492[/C][/ROW]
[ROW][C]134[/C][C]12[/C][C]12.2482573816443[/C][C]-0.24825738164431[/C][/ROW]
[ROW][C]135[/C][C]14[/C][C]10.9519885474767[/C][C]3.04801145252326[/C][/ROW]
[ROW][C]136[/C][C]23[/C][C]16.4674657758433[/C][C]6.53253422415671[/C][/ROW]
[ROW][C]137[/C][C]14[/C][C]14.0986926449806[/C][C]-0.0986926449806444[/C][/ROW]
[ROW][C]138[/C][C]16[/C][C]16.8777752672977[/C][C]-0.877775267297653[/C][/ROW]
[ROW][C]139[/C][C]11[/C][C]13.1443597892755[/C][C]-2.14435978927549[/C][/ROW]
[ROW][C]140[/C][C]12[/C][C]14.0054522131557[/C][C]-2.00545221315568[/C][/ROW]
[ROW][C]141[/C][C]10[/C][C]13.4247174388737[/C][C]-3.42471743887374[/C][/ROW]
[ROW][C]142[/C][C]14[/C][C]10.8845929835068[/C][C]3.11540701649321[/C][/ROW]
[ROW][C]143[/C][C]12[/C][C]11.9535078728302[/C][C]0.0464921271697806[/C][/ROW]
[ROW][C]144[/C][C]12[/C][C]11.6851232475046[/C][C]0.314876752495363[/C][/ROW]
[ROW][C]145[/C][C]11[/C][C]10.7671273773927[/C][C]0.232872622607279[/C][/ROW]
[ROW][C]146[/C][C]12[/C][C]11.11080851525[/C][C]0.889191484749996[/C][/ROW]
[ROW][C]147[/C][C]13[/C][C]15.9576540249876[/C][C]-2.95765402498759[/C][/ROW]
[ROW][C]148[/C][C]11[/C][C]14.014294453806[/C][C]-3.01429445380601[/C][/ROW]
[ROW][C]149[/C][C]19[/C][C]16.6005332027229[/C][C]2.39946679727706[/C][/ROW]
[ROW][C]150[/C][C]12[/C][C]11.1605011361089[/C][C]0.839498863891055[/C][/ROW]
[ROW][C]151[/C][C]17[/C][C]12.5828575918065[/C][C]4.4171424081935[/C][/ROW]
[ROW][C]152[/C][C]9[/C][C]11.1002273795715[/C][C]-2.10022737957147[/C][/ROW]
[ROW][C]153[/C][C]12[/C][C]14.2343778907487[/C][C]-2.23437789074872[/C][/ROW]
[ROW][C]154[/C][C]19[/C][C]15.4533508376981[/C][C]3.54664916230188[/C][/ROW]
[ROW][C]155[/C][C]18[/C][C]14.0969899383616[/C][C]3.90301006163837[/C][/ROW]
[ROW][C]156[/C][C]15[/C][C]14.3019303049492[/C][C]0.698069695050777[/C][/ROW]
[ROW][C]157[/C][C]14[/C][C]13.4383452349173[/C][C]0.561654765082729[/C][/ROW]
[ROW][C]158[/C][C]11[/C][C]9.43863518411908[/C][C]1.56136481588092[/C][/ROW]
[ROW][C]159[/C][C]9[/C][C]12.5575839377106[/C][C]-3.55758393771059[/C][/ROW]
[ROW][C]160[/C][C]18[/C][C]13.4929330637229[/C][C]4.50706693627712[/C][/ROW]
[ROW][C]161[/C][C]16[/C][C]14.4843533040724[/C][C]1.51564669592755[/C][/ROW]
[ROW][C]162[/C][C]24[/C][C]17.7910664321763[/C][C]6.20893356782369[/C][/ROW]
[ROW][C]163[/C][C]14[/C][C]13.2257401833105[/C][C]0.774259816689493[/C][/ROW]
[ROW][C]164[/C][C]20[/C][C]11.5067342252258[/C][C]8.49326577477418[/C][/ROW]
[ROW][C]165[/C][C]18[/C][C]16.4762980980238[/C][C]1.52370190197616[/C][/ROW]
[ROW][C]166[/C][C]23[/C][C]17.7330849357931[/C][C]5.26691506420687[/C][/ROW]
[ROW][C]167[/C][C]12[/C][C]13.6926979799376[/C][C]-1.69269797993761[/C][/ROW]
[ROW][C]168[/C][C]14[/C][C]15.3147243739943[/C][C]-1.31472437399435[/C][/ROW]
[ROW][C]169[/C][C]16[/C][C]16.7270317988616[/C][C]-0.72703179886157[/C][/ROW]
[ROW][C]170[/C][C]18[/C][C]16.6906732507528[/C][C]1.30932674924721[/C][/ROW]
[ROW][C]171[/C][C]20[/C][C]17.2753693560538[/C][C]2.72463064394621[/C][/ROW]
[ROW][C]172[/C][C]12[/C][C]12.2808239758641[/C][C]-0.28082397586409[/C][/ROW]
[ROW][C]173[/C][C]12[/C][C]16.7678239018026[/C][C]-4.76782390180257[/C][/ROW]
[ROW][C]174[/C][C]17[/C][C]15.738020298657[/C][C]1.261979701343[/C][/ROW]
[ROW][C]175[/C][C]13[/C][C]12.4995909086106[/C][C]0.500409091389424[/C][/ROW]
[ROW][C]176[/C][C]9[/C][C]13.5148951488944[/C][C]-4.51489514889444[/C][/ROW]
[ROW][C]177[/C][C]16[/C][C]17.8824572309372[/C][C]-1.88245723093724[/C][/ROW]
[ROW][C]178[/C][C]18[/C][C]15.4724777153649[/C][C]2.5275222846351[/C][/ROW]
[ROW][C]179[/C][C]10[/C][C]12.8606188275203[/C][C]-2.86061882752026[/C][/ROW]
[ROW][C]180[/C][C]14[/C][C]15.2762685470518[/C][C]-1.27626854705175[/C][/ROW]
[ROW][C]181[/C][C]11[/C][C]14.7151579619874[/C][C]-3.71515796198745[/C][/ROW]
[ROW][C]182[/C][C]9[/C][C]15.0911038503465[/C][C]-6.09110385034649[/C][/ROW]
[ROW][C]183[/C][C]11[/C][C]13.0650494250195[/C][C]-2.06504942501951[/C][/ROW]
[ROW][C]184[/C][C]10[/C][C]12.8979755200401[/C][C]-2.89797552004008[/C][/ROW]
[ROW][C]185[/C][C]11[/C][C]12.1121797903805[/C][C]-1.11217979038049[/C][/ROW]
[ROW][C]186[/C][C]19[/C][C]13.6734600679451[/C][C]5.32653993205486[/C][/ROW]
[ROW][C]187[/C][C]14[/C][C]12.9821873339557[/C][C]1.01781266604425[/C][/ROW]
[ROW][C]188[/C][C]12[/C][C]11.9944252737457[/C][C]0.00557472625429791[/C][/ROW]
[ROW][C]189[/C][C]14[/C][C]15.5057074366763[/C][C]-1.50570743667631[/C][/ROW]
[ROW][C]190[/C][C]21[/C][C]17.1884036696914[/C][C]3.81159633030863[/C][/ROW]
[ROW][C]191[/C][C]13[/C][C]15.8967139936739[/C][C]-2.89671399367391[/C][/ROW]
[ROW][C]192[/C][C]10[/C][C]12.9454144915637[/C][C]-2.94541449156368[/C][/ROW]
[ROW][C]193[/C][C]15[/C][C]13.5693722671523[/C][C]1.43062773284772[/C][/ROW]
[ROW][C]194[/C][C]16[/C][C]16.7460267038603[/C][C]-0.746026703860316[/C][/ROW]
[ROW][C]195[/C][C]14[/C][C]13.1335274650235[/C][C]0.866472534976486[/C][/ROW]
[ROW][C]196[/C][C]12[/C][C]15.2065801955506[/C][C]-3.2065801955506[/C][/ROW]
[ROW][C]197[/C][C]19[/C][C]13.0801834943366[/C][C]5.91981650566341[/C][/ROW]
[ROW][C]198[/C][C]15[/C][C]12.55104090834[/C][C]2.44895909165996[/C][/ROW]
[ROW][C]199[/C][C]19[/C][C]18.3266451809173[/C][C]0.673354819082706[/C][/ROW]
[ROW][C]200[/C][C]13[/C][C]13.5502655237271[/C][C]-0.550265523727125[/C][/ROW]
[ROW][C]201[/C][C]17[/C][C]17.4994752945093[/C][C]-0.499475294509345[/C][/ROW]
[ROW][C]202[/C][C]12[/C][C]13.0536112172286[/C][C]-1.05361121722863[/C][/ROW]
[ROW][C]203[/C][C]11[/C][C]10.9615368349232[/C][C]0.0384631650768446[/C][/ROW]
[ROW][C]204[/C][C]14[/C][C]15.8647472819[/C][C]-1.86474728189995[/C][/ROW]
[ROW][C]205[/C][C]11[/C][C]12.779454948752[/C][C]-1.77945494875202[/C][/ROW]
[ROW][C]206[/C][C]13[/C][C]12.6730924042179[/C][C]0.326907595782096[/C][/ROW]
[ROW][C]207[/C][C]12[/C][C]13.1159304720055[/C][C]-1.11593047200552[/C][/ROW]
[ROW][C]208[/C][C]15[/C][C]13.1430630621387[/C][C]1.85693693786131[/C][/ROW]
[ROW][C]209[/C][C]14[/C][C]14.7498377814583[/C][C]-0.749837781458301[/C][/ROW]
[ROW][C]210[/C][C]12[/C][C]11.1524993263886[/C][C]0.847500673611389[/C][/ROW]
[ROW][C]211[/C][C]17[/C][C]17.7402361325179[/C][C]-0.740236132517887[/C][/ROW]
[ROW][C]212[/C][C]11[/C][C]11.6245974710186[/C][C]-0.624597471018636[/C][/ROW]
[ROW][C]213[/C][C]18[/C][C]14.7860625997389[/C][C]3.21393740026113[/C][/ROW]
[ROW][C]214[/C][C]13[/C][C]16.0677150164546[/C][C]-3.0677150164546[/C][/ROW]
[ROW][C]215[/C][C]17[/C][C]15.5428559973457[/C][C]1.45714400265427[/C][/ROW]
[ROW][C]216[/C][C]13[/C][C]13.6430836419146[/C][C]-0.643083641914586[/C][/ROW]
[ROW][C]217[/C][C]11[/C][C]10.4508161060194[/C][C]0.54918389398057[/C][/ROW]
[ROW][C]218[/C][C]12[/C][C]12.8928000733457[/C][C]-0.892800073345721[/C][/ROW]
[ROW][C]219[/C][C]22[/C][C]18.1757310725811[/C][C]3.82426892741891[/C][/ROW]
[ROW][C]220[/C][C]14[/C][C]12.3337130890637[/C][C]1.66628691093627[/C][/ROW]
[ROW][C]221[/C][C]12[/C][C]15.2059064919978[/C][C]-3.20590649199782[/C][/ROW]
[ROW][C]222[/C][C]12[/C][C]12.1361547076336[/C][C]-0.136154707633602[/C][/ROW]
[ROW][C]223[/C][C]17[/C][C]16.122565721051[/C][C]0.877434278948975[/C][/ROW]
[ROW][C]224[/C][C]9[/C][C]13.0181148955834[/C][C]-4.01811489558335[/C][/ROW]
[ROW][C]225[/C][C]21[/C][C]17.0833543741915[/C][C]3.91664562580854[/C][/ROW]
[ROW][C]226[/C][C]10[/C][C]11.9891965455976[/C][C]-1.98919654559757[/C][/ROW]
[ROW][C]227[/C][C]11[/C][C]11.2200661311779[/C][C]-0.220066131177934[/C][/ROW]
[ROW][C]228[/C][C]12[/C][C]14.6724081614271[/C][C]-2.67240816142713[/C][/ROW]
[ROW][C]229[/C][C]23[/C][C]18.4320786935025[/C][C]4.56792130649746[/C][/ROW]
[ROW][C]230[/C][C]13[/C][C]15.8052347069666[/C][C]-2.80523470696662[/C][/ROW]
[ROW][C]231[/C][C]12[/C][C]13.5677161079603[/C][C]-1.56771610796033[/C][/ROW]
[ROW][C]232[/C][C]16[/C][C]17.9746291969757[/C][C]-1.9746291969757[/C][/ROW]
[ROW][C]233[/C][C]9[/C][C]13.7099848266814[/C][C]-4.70998482668143[/C][/ROW]
[ROW][C]234[/C][C]17[/C][C]13.8282606431598[/C][C]3.17173935684024[/C][/ROW]
[ROW][C]235[/C][C]9[/C][C]12.0616729929165[/C][C]-3.06167299291652[/C][/ROW]
[ROW][C]236[/C][C]14[/C][C]15.728373017692[/C][C]-1.72837301769197[/C][/ROW]
[ROW][C]237[/C][C]17[/C][C]15.7634095482917[/C][C]1.23659045170826[/C][/ROW]
[ROW][C]238[/C][C]13[/C][C]15.7743575452575[/C][C]-2.77435754525748[/C][/ROW]
[ROW][C]239[/C][C]11[/C][C]15.865563186353[/C][C]-4.865563186353[/C][/ROW]
[ROW][C]240[/C][C]12[/C][C]15.6485046099825[/C][C]-3.64850460998249[/C][/ROW]
[ROW][C]241[/C][C]10[/C][C]13.9383721235412[/C][C]-3.93837212354122[/C][/ROW]
[ROW][C]242[/C][C]19[/C][C]18.9937297291015[/C][C]0.00627027089846352[/C][/ROW]
[ROW][C]243[/C][C]16[/C][C]16.1017245483508[/C][C]-0.101724548350796[/C][/ROW]
[ROW][C]244[/C][C]16[/C][C]15.1410827666013[/C][C]0.858917233398705[/C][/ROW]
[ROW][C]245[/C][C]14[/C][C]12.2984569915867[/C][C]1.70154300841333[/C][/ROW]
[ROW][C]246[/C][C]20[/C][C]15.8397216860527[/C][C]4.16027831394735[/C][/ROW]
[ROW][C]247[/C][C]15[/C][C]14.5449248857338[/C][C]0.455075114266198[/C][/ROW]
[ROW][C]248[/C][C]23[/C][C]15.6257547323812[/C][C]7.37424526761879[/C][/ROW]
[ROW][C]249[/C][C]20[/C][C]17.8915223347704[/C][C]2.10847766522959[/C][/ROW]
[ROW][C]250[/C][C]16[/C][C]15.9112549231624[/C][C]0.0887450768376267[/C][/ROW]
[ROW][C]251[/C][C]14[/C][C]12.919035380063[/C][C]1.08096461993702[/C][/ROW]
[ROW][C]252[/C][C]17[/C][C]13.803580565462[/C][C]3.19641943453798[/C][/ROW]
[ROW][C]253[/C][C]11[/C][C]14.2654216742751[/C][C]-3.26542167427515[/C][/ROW]
[ROW][C]254[/C][C]13[/C][C]13.9879132926352[/C][C]-0.987913292635199[/C][/ROW]
[ROW][C]255[/C][C]17[/C][C]15.2957063438336[/C][C]1.70429365616635[/C][/ROW]
[ROW][C]256[/C][C]15[/C][C]15.2081783064481[/C][C]-0.208178306448113[/C][/ROW]
[ROW][C]257[/C][C]21[/C][C]15.7553153390935[/C][C]5.24468466090645[/C][/ROW]
[ROW][C]258[/C][C]18[/C][C]17.7404615531527[/C][C]0.259538446847337[/C][/ROW]
[ROW][C]259[/C][C]15[/C][C]12.7713967424004[/C][C]2.22860325759962[/C][/ROW]
[ROW][C]260[/C][C]8[/C][C]16.260452585107[/C][C]-8.26045258510696[/C][/ROW]
[ROW][C]261[/C][C]12[/C][C]13.5709556494251[/C][C]-1.57095564942509[/C][/ROW]
[ROW][C]262[/C][C]12[/C][C]12.7856299535212[/C][C]-0.785629953521151[/C][/ROW]
[ROW][C]263[/C][C]22[/C][C]18.8923423080481[/C][C]3.10765769195186[/C][/ROW]
[ROW][C]264[/C][C]12[/C][C]13.1302564219431[/C][C]-1.13025642194308[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=225732&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=225732&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
11213.9655392583874-1.96553925838743
2119.289166740181131.71083325981887
31415.3517291212124-1.35172912121235
41214.7991315677665-2.79913156776649
52111.19692152490439.80307847509569
6129.746683254335532.25331674566447
72214.38826431527167.61173568472843
81112.2901313067814-1.29013130678142
91011.9793005926597-1.97930059265967
101311.96912441371611.03087558628386
111010.2819426831842-0.281942683184192
12810.3687888636664-2.36878886366642
131515.8477065752957-0.84770657529575
141412.36764357037721.63235642962276
15108.864725132733431.13527486726657
161413.78999075920950.210009240790455
171412.41199036821.5880096318
18119.269050684267831.73094931573217
191013.252051272271-3.252051272271
201312.47841983830620.521580161693806
219.510.4731394032006-0.973139403200648
221415.4431588933246-1.44315889332462
231213.4119449413709-1.4119449413709
241415.4346000714965-1.43460007149649
25119.363580487475811.63641951252419
26914.9237428567394-5.92374285673941
271110.39457804960010.605421950399904
281513.14175818306061.85824181693937
291411.09508706188862.90491293811143
301315.6532578911968-2.65325789119678
31910.8506710153-1.85067101529999
321514.95297910423380.0470208957662006
331010.5830309420411-0.583030942041138
341111.556013214279-0.556013214279
351311.99003542269161.00996457730839
36811.9113733201586-3.91137332015856
372016.88841350891443.1115864910856
381211.8968559658330.103144034166962
391010.2996403498602-0.299640349860214
401013.3652222709521-3.36522227095214
41911.5981462386129-2.5981462386129
421410.73774098760983.2622590123902
43811.7629722700147-3.76297227001471
441415.1254565662334-1.12545656623345
451111.9853946735513-0.985394673551334
461314.7531157447903-1.75311574479027
47912.7533547517656-3.75335475176555
481111.7026245933719-0.702624593371885
49159.672731370117775.32726862988223
501112.7857628854329-1.78576288543295
511011.0445403810223-1.04454038102231
521412.78597615696541.21402384303464
531815.08865097850632.91134902149372
541415.7350069066471-1.73500690664708
551114.6039522080144-3.60395220801443
5614.511.73065939445962.76934060554037
571310.67557058899162.32442941100842
58912.2941136820798-3.29411368207976
591013.3938793049206-3.39387930492061
601513.89346968265441.10653031734562
612018.07857938815291.92142061184706
621212.2262430871174-0.226243087117407
631213.661490915384-1.66149091538396
641413.67922711574650.320772884253458
651312.73002500117170.269974998828316
661115.5749760401043-4.57497604010431
671715.89713583132871.10286416867125
681214.0978865580212-2.09788655802123
691313.3458404844723-0.345840484472252
701412.84883949010281.15116050989718
711314.6207108359188-1.62071083591883
721513.39852240893211.60147759106786
731311.68754415459091.31245584540905
741012.2180165876981-2.21801658769813
751113.0370090732615-2.0370090732615
761914.09208429173654.9079157082635
771311.33612119197271.66387880802726
781714.53121963382592.46878036617406
791312.67091762785560.329082372144351
80915.0303725375871-6.03037253758709
811111.8253241608717-0.825324160871652
82912.9231590754177-3.92315907541767
831211.55853242180790.441467578192065
841212.7426890251384-0.742689025138415
851313.018606727364-0.0186067273640115
861312.36297581253960.637024187460384
871213.4440914265953-1.44409142659526
881515.2055454464772-0.205545446477201
892218.30439616218143.69560383781859
901311.7799953088251.22000469117502
911514.83529333048110.164706669518857
921312.02532450055970.974675499440309
931512.3246146458642.675385354136
9412.513.3929418074039-0.892941807403949
951110.90965690214660.0903430978534262
961614.77591310683511.22408689316491
971112.5561993242376-1.55619932423756
981110.19718286816930.802817131830735
991012.3924072604593-2.39240726045935
1001010.4300147131698-0.430014713169807
1011614.46104433982331.53895566017665
1021210.54729836831911.45270163168093
1031115.9769045070853-4.97690450708531
1041611.84051691738794.15948308261214
1051916.72860882443892.2713911755611
1061111.3875132053993-0.387513205399291
1071612.21793825764373.78206174235626
1081516.940732923637-1.94073292363697
1092417.95577583865066.04422416134936
1101411.67980914750242.3201908524976
1111514.81510831680680.184891683193177
1121112.9679697691858-1.96796976918577
1131513.41500420843551.58499579156453
1141210.36402494733011.63597505266993
1151010.5884328889251-0.588432888925112
1161414.3075756403891-0.307575640389105
1171314.0980685568789-1.09806855687889
118913.4219958872905-4.42199588729052
1191511.74784993252173.25215006747835
1201515.7612130267765-0.761213026776514
1211412.68522642012091.31477357987913
1221111.2452468461568-0.245246846156849
123811.9862132499271-3.98621324992705
1241112.2412674155465-1.24126741554654
1251112.9740347218497-1.97403472184968
12689.71001573931751-1.71001573931751
1271010.2244075327826-0.224407532782566
128119.684802734364581.31519726563542
1291312.48824951969990.511750480300142
1301113.5252901892361-2.52529018923613
1312017.2473051480792.75269485192104
1321011.6511549072942-1.65115490729418
1331513.16141257985081.8385874201492
1341212.2482573816443-0.24825738164431
1351410.95198854747673.04801145252326
1362316.46746577584336.53253422415671
1371414.0986926449806-0.0986926449806444
1381616.8777752672977-0.877775267297653
1391113.1443597892755-2.14435978927549
1401214.0054522131557-2.00545221315568
1411013.4247174388737-3.42471743887374
1421410.88459298350683.11540701649321
1431211.95350787283020.0464921271697806
1441211.68512324750460.314876752495363
1451110.76712737739270.232872622607279
1461211.110808515250.889191484749996
1471315.9576540249876-2.95765402498759
1481114.014294453806-3.01429445380601
1491916.60053320272292.39946679727706
1501211.16050113610890.839498863891055
1511712.58285759180654.4171424081935
152911.1002273795715-2.10022737957147
1531214.2343778907487-2.23437789074872
1541915.45335083769813.54664916230188
1551814.09698993836163.90301006163837
1561514.30193030494920.698069695050777
1571413.43834523491730.561654765082729
158119.438635184119081.56136481588092
159912.5575839377106-3.55758393771059
1601813.49293306372294.50706693627712
1611614.48435330407241.51564669592755
1622417.79106643217636.20893356782369
1631413.22574018331050.774259816689493
1642011.50673422522588.49326577477418
1651816.47629809802381.52370190197616
1662317.73308493579315.26691506420687
1671213.6926979799376-1.69269797993761
1681415.3147243739943-1.31472437399435
1691616.7270317988616-0.72703179886157
1701816.69067325075281.30932674924721
1712017.27536935605382.72463064394621
1721212.2808239758641-0.28082397586409
1731216.7678239018026-4.76782390180257
1741715.7380202986571.261979701343
1751312.49959090861060.500409091389424
176913.5148951488944-4.51489514889444
1771617.8824572309372-1.88245723093724
1781815.47247771536492.5275222846351
1791012.8606188275203-2.86061882752026
1801415.2762685470518-1.27626854705175
1811114.7151579619874-3.71515796198745
182915.0911038503465-6.09110385034649
1831113.0650494250195-2.06504942501951
1841012.8979755200401-2.89797552004008
1851112.1121797903805-1.11217979038049
1861913.67346006794515.32653993205486
1871412.98218733395571.01781266604425
1881211.99442527374570.00557472625429791
1891415.5057074366763-1.50570743667631
1902117.18840366969143.81159633030863
1911315.8967139936739-2.89671399367391
1921012.9454144915637-2.94541449156368
1931513.56937226715231.43062773284772
1941616.7460267038603-0.746026703860316
1951413.13352746502350.866472534976486
1961215.2065801955506-3.2065801955506
1971913.08018349433665.91981650566341
1981512.551040908342.44895909165996
1991918.32664518091730.673354819082706
2001313.5502655237271-0.550265523727125
2011717.4994752945093-0.499475294509345
2021213.0536112172286-1.05361121722863
2031110.96153683492320.0384631650768446
2041415.8647472819-1.86474728189995
2051112.779454948752-1.77945494875202
2061312.67309240421790.326907595782096
2071213.1159304720055-1.11593047200552
2081513.14306306213871.85693693786131
2091414.7498377814583-0.749837781458301
2101211.15249932638860.847500673611389
2111717.7402361325179-0.740236132517887
2121111.6245974710186-0.624597471018636
2131814.78606259973893.21393740026113
2141316.0677150164546-3.0677150164546
2151715.54285599734571.45714400265427
2161313.6430836419146-0.643083641914586
2171110.45081610601940.54918389398057
2181212.8928000733457-0.892800073345721
2192218.17573107258113.82426892741891
2201412.33371308906371.66628691093627
2211215.2059064919978-3.20590649199782
2221212.1361547076336-0.136154707633602
2231716.1225657210510.877434278948975
224913.0181148955834-4.01811489558335
2252117.08335437419153.91664562580854
2261011.9891965455976-1.98919654559757
2271111.2200661311779-0.220066131177934
2281214.6724081614271-2.67240816142713
2292318.43207869350254.56792130649746
2301315.8052347069666-2.80523470696662
2311213.5677161079603-1.56771610796033
2321617.9746291969757-1.9746291969757
233913.7099848266814-4.70998482668143
2341713.82826064315983.17173935684024
235912.0616729929165-3.06167299291652
2361415.728373017692-1.72837301769197
2371715.76340954829171.23659045170826
2381315.7743575452575-2.77435754525748
2391115.865563186353-4.865563186353
2401215.6485046099825-3.64850460998249
2411013.9383721235412-3.93837212354122
2421918.99372972910150.00627027089846352
2431616.1017245483508-0.101724548350796
2441615.14108276660130.858917233398705
2451412.29845699158671.70154300841333
2462015.83972168605274.16027831394735
2471514.54492488573380.455075114266198
2482315.62575473238127.37424526761879
2492017.89152233477042.10847766522959
2501615.91125492316240.0887450768376267
2511412.9190353800631.08096461993702
2521713.8035805654623.19641943453798
2531114.2654216742751-3.26542167427515
2541313.9879132926352-0.987913292635199
2551715.29570634383361.70429365616635
2561515.2081783064481-0.208178306448113
2572115.75531533909355.24468466090645
2581817.74046155315270.259538446847337
2591512.77139674240042.22860325759962
260816.260452585107-8.26045258510696
2611213.5709556494251-1.57095564942509
2621212.7856299535212-0.785629953521151
2632218.89234230804813.10765769195186
2641213.1302564219431-1.13025642194308






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
130.982278298050010.03544340389997910.0177217019499896
140.989462808414480.02107438317103960.0105371915855198
150.9787049834754080.04259003304918390.0212950165245919
160.9601600567220080.07967988655598460.0398399432779923
170.9830758115489670.03384837690206590.0169241884510329
180.9742078780657190.05158424386856210.025792121934281
190.9837090249420040.03258195011599160.0162909750579958
200.9731031539301810.05379369213963870.0268968460698194
210.963187542367940.07362491526412040.0368124576320602
220.9496226961657850.100754607668430.050377303834215
230.9324519249760950.135096150047810.0675480750239049
240.9071218327947550.185756334410490.0928781672052451
250.8806195082904730.2387609834190540.119380491709527
260.8653216728689620.2693566542620760.134678327131038
270.8916787582768330.2166424834463340.108321241723167
280.8672977102123220.2654045795753560.132702289787678
290.9025120305487010.1949759389025980.097487969451299
300.8827891986053640.2344216027892730.117210801394636
310.8694324620966820.2611350758066360.130567537903318
320.8515950386989280.2968099226021440.148404961301072
330.8145602772514940.3708794454970120.185439722748506
340.7753552626936750.449289474612650.224644737306325
350.7598199959958720.4803600080082570.240180004004128
360.7610479957701070.4779040084597870.238952004229893
370.8588420787442020.2823158425115960.141157921255798
380.826081451270470.347837097459060.17391854872953
390.788784409364020.422431181271960.21121559063598
400.7662600470896330.4674799058207350.233739952910367
410.7329494589751510.5341010820496980.267050541024849
420.7503059317339460.4993881365321080.249694068266054
430.7560590986749860.4878818026500270.243940901325014
440.7214617084839940.5570765830320110.278538291516006
450.6784120639470690.6431758721058630.321587936052932
460.6355556006072520.7288887987854960.364444399392748
470.6249688988960860.7500622022078290.375031101103915
480.5802805755462970.8394388489074060.419719424453703
490.728705096951160.542589806097680.27129490304884
500.6909310739384460.6181378521231090.309068926061554
510.6526378187836120.6947243624327770.347362181216388
520.6336843156119740.7326313687760520.366315684388026
530.6627636023263440.6744727953473120.337236397673656
540.6390165130861140.7219669738277710.360983486913886
550.6306894007501670.7386211984996650.369310599249833
560.6935686715139580.6128626569720830.306431328486042
570.6932947080627030.6134105838745940.306705291937297
580.7007112685414080.5985774629171850.299288731458592
590.6930215173653680.6139569652692650.306978482634632
600.6885833847787460.6228332304425070.311416615221254
610.7151538656948360.5696922686103270.284846134305164
620.6784149759594460.6431700480811080.321585024040554
630.6460596479379940.7078807041240120.353940352062006
640.6077031806930090.7845936386139820.392296819306991
650.5684323360636210.8631353278727590.431567663936379
660.5591292398009060.8817415203981890.440870760199094
670.5860901810728350.8278196378543310.413909818927165
680.5604422756998880.8791154486002230.439557724300112
690.519865642901150.96026871419770.48013435709885
700.4925933887262590.9851867774525180.507406611273741
710.4566325714547640.9132651429095290.543367428545236
720.4258853252922570.8517706505845150.574114674707743
730.3943773161684680.7887546323369360.605622683831532
740.3777247534150550.7554495068301090.622275246584945
750.3518340804892530.7036681609785070.648165919510747
760.4906841035398270.9813682070796530.509315896460173
770.4604320046792670.9208640093585350.539567995320733
780.4532725993795760.9065451987591520.546727400620424
790.4145670593673280.8291341187346550.585432940632672
800.5501518506857480.8996962986285030.449848149314252
810.5161383246640210.9677233506719580.483861675335979
820.5499945995717530.9000108008564930.450005400428247
830.5118856737304810.9762286525390380.488114326269519
840.475164217724150.95032843544830.52483578227585
850.4367892287396690.8735784574793390.563210771260331
860.4012987303294830.8025974606589670.598701269670517
870.3718318302178150.743663660435630.628168169782185
880.3384943998294580.6769887996589160.661505600170542
890.4145000810792130.8290001621584260.585499918920787
900.3812741276962320.7625482553924640.618725872303768
910.3513315096161740.7026630192323490.648668490383826
920.3200524050393520.6401048100787040.679947594960648
930.3131016344562050.626203268912410.686898365543795
940.2855765134375730.5711530268751450.714423486562427
950.2538332218040650.5076664436081290.746166778195935
960.2359021141705990.4718042283411990.764097885829401
970.2174696292667990.4349392585335980.782530370733201
980.1916803821026660.3833607642053310.808319617897334
990.1876509187699490.3753018375398980.812349081230051
1000.1639318240923060.3278636481846130.836068175907694
1010.1529214296018990.3058428592037970.847078570398101
1020.1366213016707710.2732426033415420.863378698329229
1030.1831108699573070.3662217399146130.816889130042693
1040.211387726975250.4227754539505010.78861227302475
1050.2151729200452470.4303458400904930.784827079954753
1060.1896970123595390.3793940247190770.810302987640461
1070.2096825720103210.4193651440206420.790317427989679
1080.1975736589593280.3951473179186550.802426341040672
1090.2989132379327490.5978264758654980.701086762067251
1100.2870984478070420.5741968956140840.712901552192958
1110.257537282952170.515074565904340.74246271704783
1120.2487657420297130.4975314840594260.751234257970287
1130.2260131301653770.4520262603307550.773986869834623
1140.2059305614547610.4118611229095210.794069438545239
1150.1823220577014040.3646441154028080.817677942298596
1160.1598093538179920.3196187076359840.840190646182008
1170.1434351993678180.2868703987356360.856564800632182
1180.1827671868175060.3655343736350120.817232813182494
1190.1882216896204960.3764433792409920.811778310379504
1200.1672366505881050.334473301176210.832763349411895
1210.1522475587563860.3044951175127710.847752441243614
1220.1336430812047710.2672861624095410.866356918795229
1230.1598537968730470.3197075937460940.840146203126953
1240.1432651194013670.2865302388027350.856734880598633
1250.1339704798410780.2679409596821560.866029520158922
1260.1238177616601380.2476355233202770.876182238339862
1270.1070513839442430.2141027678884870.892948616055757
1280.09462368223434320.1892473644686860.905376317765657
1290.08069516664179760.1613903332835950.919304833358202
1300.07973959966606850.1594791993321370.920260400333932
1310.08118296437088440.1623659287417690.918817035629116
1320.07402150273678930.1480430054735790.925978497263211
1330.06721223376240470.1344244675248090.932787766237595
1340.0564516443629180.1129032887258360.943548355637082
1350.05845026367498990.116900527349980.94154973632501
1360.1174040559532440.2348081119064880.882595944046756
1370.1011380492287140.2022760984574280.898861950771286
1380.08919954215158110.1783990843031620.910800457848419
1390.08664627608957490.173292552179150.913353723910425
1400.08268638537830310.1653727707566060.917313614621697
1410.09617490727843460.1923498145568690.903825092721565
1420.09768728854383220.1953745770876640.902312711456168
1430.0833376908584550.166675381716910.916662309141545
1440.07026089273534990.14052178547070.92973910726465
1450.05905611316958980.118112226339180.94094388683041
1460.04974759265923450.09949518531846890.950252407340766
1470.05654719904614190.1130943980922840.943452800953858
1480.06344910518650910.1268982103730180.936550894813491
1490.05948227157201680.1189645431440340.940517728427983
1500.04963706736564430.09927413473128860.950362932634356
1510.06182788728884850.1236557745776970.938172112711151
1520.05963320158890510.119266403177810.940366798411095
1530.06119247383557720.1223849476711540.938807526164423
1540.06315940559794610.1263188111958920.936840594402054
1550.06722613915679650.1344522783135930.932773860843203
1560.05730270961677160.1146054192335430.942697290383228
1570.047995114744410.09599022948881990.95200488525559
1580.04038548436460150.08077096872920290.959614515635399
1590.05571964482543560.1114392896508710.944280355174564
1600.06135768247925660.1227153649585130.938642317520743
1610.05191237615874460.1038247523174890.948087623841255
1620.09075411803341060.1815082360668210.909245881966589
1630.08056482487498390.1611296497499680.919435175125016
1640.2762660024781850.5525320049563710.723733997521815
1650.2511354199203480.5022708398406970.748864580079652
1660.3161771949648210.6323543899296420.683822805035179
1670.3000941025520450.600188205104090.699905897447955
1680.2830550389188260.5661100778376520.716944961081174
1690.2556933183736490.5113866367472980.744306681626351
1700.233243904920830.466487809841660.76675609507917
1710.2312871075389370.4625742150778740.768712892461063
1720.2051467931530420.4102935863060850.794853206846958
1730.2574589884973640.5149179769947280.742541011502636
1740.2481494862418940.4962989724837880.751850513758106
1750.2325858820755320.4651717641510650.767414117924468
1760.27432715645740.54865431291480.7256728435426
1770.2559477422301730.5118954844603460.744052257769827
1780.265406116646680.530812233293360.73459388335332
1790.2606403033722950.5212806067445910.739359696627705
1800.2343946851703820.4687893703407640.765605314829618
1810.2648841996667780.5297683993335560.735115800333222
1820.3821749533740760.7643499067481520.617825046625924
1830.3737234575014720.7474469150029430.626276542498528
1840.372138824230570.744277648461140.62786117576943
1850.3533623859455230.7067247718910460.646637614054477
1860.4625452168603960.9250904337207920.537454783139604
1870.4270478657871220.8540957315742450.572952134212878
1880.3940225121261850.788045024252370.605977487873815
1890.3619251827887660.7238503655775310.638074817211234
1900.3917894599599530.7835789199199060.608210540040047
1910.4203557652315540.8407115304631080.579644234768446
1920.4412953718217860.8825907436435710.558704628178214
1930.428999013863250.8579980277264990.57100098613675
1940.3985715517236310.7971431034472620.601428448276369
1950.3705577545948640.7411155091897280.629442245405136
1960.4084231787708920.8168463575417850.591576821229107
1970.6128637640345880.7742724719308240.387136235965412
1980.6221810132869870.7556379734260260.377818986713013
1990.5815842189622220.8368315620755550.418415781037778
2000.5401812670053910.9196374659892170.459818732994609
2010.4969726745486310.9939453490972620.503027325451369
2020.4572695327449210.9145390654898420.542730467255079
2030.4379545892862170.8759091785724330.562045410713783
2040.4263652915129630.8527305830259270.573634708487037
2050.3900044000106340.7800088000212690.609995599989366
2060.3493682516412130.6987365032824260.650631748358787
2070.3110524941023220.6221049882046450.688947505897678
2080.2778757561842040.5557515123684070.722124243815796
2090.2414524612767850.482904922553570.758547538723215
2100.2379119134839840.4758238269679670.762088086516016
2110.2121977552423110.4243955104846230.787802244757689
2120.1825328692431440.3650657384862890.817467130756856
2130.2097589246386530.4195178492773050.790241075361347
2140.1919234092048940.3838468184097880.808076590795106
2150.1645848145397180.3291696290794370.835415185460282
2160.1403568454852850.2807136909705690.859643154514716
2170.1371030012656390.2742060025312780.862896998734361
2180.1154885637060440.2309771274120880.884511436293956
2190.1281994241460030.2563988482920060.871800575853997
2200.1346022282464610.2692044564929220.865397771753539
2210.1226668164620180.2453336329240360.877333183537982
2220.09847097450906630.1969419490181330.901529025490934
2230.08483527110821890.1696705422164380.915164728891781
2240.07822410450277860.1564482090055570.921775895497221
2250.07234865991925490.144697319838510.927651340080745
2260.06031428229936420.1206285645987280.939685717700636
2270.04583345501728660.09166691003457330.954166544982713
2280.03782686807600120.07565373615200230.962173131923999
2290.06740714723093680.1348142944618740.932592852769063
2300.05550374026639450.1110074805327890.944496259733606
2310.04269888428875350.0853977685775070.957301115711247
2320.03612996489916240.07225992979832470.963870035100838
2330.06892597770863830.1378519554172770.931074022291362
2340.07476553724157160.1495310744831430.925234462758428
2350.06785871829352360.1357174365870470.932141281706476
2360.05018721702003360.1003744340400670.949812782979966
2370.0700741302962540.1401482605925080.929925869703746
2380.09432158037218870.1886431607443770.905678419627811
2390.1839284406533370.3678568813066730.816071559346663
2400.2258925029627190.4517850059254380.774107497037281
2410.2091851402441590.4183702804883190.790814859755841
2420.6362875581275450.727424883744910.363712441872455
2430.5519327105131580.8961345789736840.448067289486842
2440.5430922052060860.9138155895878270.456907794793914
2450.4755878712592670.9511757425185340.524412128740733
2460.3892029176327470.7784058352654940.610797082367253
2470.3750713318959660.7501426637919320.624928668104034
2480.3233026195374630.6466052390749270.676697380462536
2490.3278702098577170.6557404197154340.672129790142283
2500.2791810442426320.5583620884852640.720818955757368
2510.1728512214213650.3457024428427290.827148778578635

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
13 & 0.98227829805001 & 0.0354434038999791 & 0.0177217019499896 \tabularnewline
14 & 0.98946280841448 & 0.0210743831710396 & 0.0105371915855198 \tabularnewline
15 & 0.978704983475408 & 0.0425900330491839 & 0.0212950165245919 \tabularnewline
16 & 0.960160056722008 & 0.0796798865559846 & 0.0398399432779923 \tabularnewline
17 & 0.983075811548967 & 0.0338483769020659 & 0.0169241884510329 \tabularnewline
18 & 0.974207878065719 & 0.0515842438685621 & 0.025792121934281 \tabularnewline
19 & 0.983709024942004 & 0.0325819501159916 & 0.0162909750579958 \tabularnewline
20 & 0.973103153930181 & 0.0537936921396387 & 0.0268968460698194 \tabularnewline
21 & 0.96318754236794 & 0.0736249152641204 & 0.0368124576320602 \tabularnewline
22 & 0.949622696165785 & 0.10075460766843 & 0.050377303834215 \tabularnewline
23 & 0.932451924976095 & 0.13509615004781 & 0.0675480750239049 \tabularnewline
24 & 0.907121832794755 & 0.18575633441049 & 0.0928781672052451 \tabularnewline
25 & 0.880619508290473 & 0.238760983419054 & 0.119380491709527 \tabularnewline
26 & 0.865321672868962 & 0.269356654262076 & 0.134678327131038 \tabularnewline
27 & 0.891678758276833 & 0.216642483446334 & 0.108321241723167 \tabularnewline
28 & 0.867297710212322 & 0.265404579575356 & 0.132702289787678 \tabularnewline
29 & 0.902512030548701 & 0.194975938902598 & 0.097487969451299 \tabularnewline
30 & 0.882789198605364 & 0.234421602789273 & 0.117210801394636 \tabularnewline
31 & 0.869432462096682 & 0.261135075806636 & 0.130567537903318 \tabularnewline
32 & 0.851595038698928 & 0.296809922602144 & 0.148404961301072 \tabularnewline
33 & 0.814560277251494 & 0.370879445497012 & 0.185439722748506 \tabularnewline
34 & 0.775355262693675 & 0.44928947461265 & 0.224644737306325 \tabularnewline
35 & 0.759819995995872 & 0.480360008008257 & 0.240180004004128 \tabularnewline
36 & 0.761047995770107 & 0.477904008459787 & 0.238952004229893 \tabularnewline
37 & 0.858842078744202 & 0.282315842511596 & 0.141157921255798 \tabularnewline
38 & 0.82608145127047 & 0.34783709745906 & 0.17391854872953 \tabularnewline
39 & 0.78878440936402 & 0.42243118127196 & 0.21121559063598 \tabularnewline
40 & 0.766260047089633 & 0.467479905820735 & 0.233739952910367 \tabularnewline
41 & 0.732949458975151 & 0.534101082049698 & 0.267050541024849 \tabularnewline
42 & 0.750305931733946 & 0.499388136532108 & 0.249694068266054 \tabularnewline
43 & 0.756059098674986 & 0.487881802650027 & 0.243940901325014 \tabularnewline
44 & 0.721461708483994 & 0.557076583032011 & 0.278538291516006 \tabularnewline
45 & 0.678412063947069 & 0.643175872105863 & 0.321587936052932 \tabularnewline
46 & 0.635555600607252 & 0.728888798785496 & 0.364444399392748 \tabularnewline
47 & 0.624968898896086 & 0.750062202207829 & 0.375031101103915 \tabularnewline
48 & 0.580280575546297 & 0.839438848907406 & 0.419719424453703 \tabularnewline
49 & 0.72870509695116 & 0.54258980609768 & 0.27129490304884 \tabularnewline
50 & 0.690931073938446 & 0.618137852123109 & 0.309068926061554 \tabularnewline
51 & 0.652637818783612 & 0.694724362432777 & 0.347362181216388 \tabularnewline
52 & 0.633684315611974 & 0.732631368776052 & 0.366315684388026 \tabularnewline
53 & 0.662763602326344 & 0.674472795347312 & 0.337236397673656 \tabularnewline
54 & 0.639016513086114 & 0.721966973827771 & 0.360983486913886 \tabularnewline
55 & 0.630689400750167 & 0.738621198499665 & 0.369310599249833 \tabularnewline
56 & 0.693568671513958 & 0.612862656972083 & 0.306431328486042 \tabularnewline
57 & 0.693294708062703 & 0.613410583874594 & 0.306705291937297 \tabularnewline
58 & 0.700711268541408 & 0.598577462917185 & 0.299288731458592 \tabularnewline
59 & 0.693021517365368 & 0.613956965269265 & 0.306978482634632 \tabularnewline
60 & 0.688583384778746 & 0.622833230442507 & 0.311416615221254 \tabularnewline
61 & 0.715153865694836 & 0.569692268610327 & 0.284846134305164 \tabularnewline
62 & 0.678414975959446 & 0.643170048081108 & 0.321585024040554 \tabularnewline
63 & 0.646059647937994 & 0.707880704124012 & 0.353940352062006 \tabularnewline
64 & 0.607703180693009 & 0.784593638613982 & 0.392296819306991 \tabularnewline
65 & 0.568432336063621 & 0.863135327872759 & 0.431567663936379 \tabularnewline
66 & 0.559129239800906 & 0.881741520398189 & 0.440870760199094 \tabularnewline
67 & 0.586090181072835 & 0.827819637854331 & 0.413909818927165 \tabularnewline
68 & 0.560442275699888 & 0.879115448600223 & 0.439557724300112 \tabularnewline
69 & 0.51986564290115 & 0.9602687141977 & 0.48013435709885 \tabularnewline
70 & 0.492593388726259 & 0.985186777452518 & 0.507406611273741 \tabularnewline
71 & 0.456632571454764 & 0.913265142909529 & 0.543367428545236 \tabularnewline
72 & 0.425885325292257 & 0.851770650584515 & 0.574114674707743 \tabularnewline
73 & 0.394377316168468 & 0.788754632336936 & 0.605622683831532 \tabularnewline
74 & 0.377724753415055 & 0.755449506830109 & 0.622275246584945 \tabularnewline
75 & 0.351834080489253 & 0.703668160978507 & 0.648165919510747 \tabularnewline
76 & 0.490684103539827 & 0.981368207079653 & 0.509315896460173 \tabularnewline
77 & 0.460432004679267 & 0.920864009358535 & 0.539567995320733 \tabularnewline
78 & 0.453272599379576 & 0.906545198759152 & 0.546727400620424 \tabularnewline
79 & 0.414567059367328 & 0.829134118734655 & 0.585432940632672 \tabularnewline
80 & 0.550151850685748 & 0.899696298628503 & 0.449848149314252 \tabularnewline
81 & 0.516138324664021 & 0.967723350671958 & 0.483861675335979 \tabularnewline
82 & 0.549994599571753 & 0.900010800856493 & 0.450005400428247 \tabularnewline
83 & 0.511885673730481 & 0.976228652539038 & 0.488114326269519 \tabularnewline
84 & 0.47516421772415 & 0.9503284354483 & 0.52483578227585 \tabularnewline
85 & 0.436789228739669 & 0.873578457479339 & 0.563210771260331 \tabularnewline
86 & 0.401298730329483 & 0.802597460658967 & 0.598701269670517 \tabularnewline
87 & 0.371831830217815 & 0.74366366043563 & 0.628168169782185 \tabularnewline
88 & 0.338494399829458 & 0.676988799658916 & 0.661505600170542 \tabularnewline
89 & 0.414500081079213 & 0.829000162158426 & 0.585499918920787 \tabularnewline
90 & 0.381274127696232 & 0.762548255392464 & 0.618725872303768 \tabularnewline
91 & 0.351331509616174 & 0.702663019232349 & 0.648668490383826 \tabularnewline
92 & 0.320052405039352 & 0.640104810078704 & 0.679947594960648 \tabularnewline
93 & 0.313101634456205 & 0.62620326891241 & 0.686898365543795 \tabularnewline
94 & 0.285576513437573 & 0.571153026875145 & 0.714423486562427 \tabularnewline
95 & 0.253833221804065 & 0.507666443608129 & 0.746166778195935 \tabularnewline
96 & 0.235902114170599 & 0.471804228341199 & 0.764097885829401 \tabularnewline
97 & 0.217469629266799 & 0.434939258533598 & 0.782530370733201 \tabularnewline
98 & 0.191680382102666 & 0.383360764205331 & 0.808319617897334 \tabularnewline
99 & 0.187650918769949 & 0.375301837539898 & 0.812349081230051 \tabularnewline
100 & 0.163931824092306 & 0.327863648184613 & 0.836068175907694 \tabularnewline
101 & 0.152921429601899 & 0.305842859203797 & 0.847078570398101 \tabularnewline
102 & 0.136621301670771 & 0.273242603341542 & 0.863378698329229 \tabularnewline
103 & 0.183110869957307 & 0.366221739914613 & 0.816889130042693 \tabularnewline
104 & 0.21138772697525 & 0.422775453950501 & 0.78861227302475 \tabularnewline
105 & 0.215172920045247 & 0.430345840090493 & 0.784827079954753 \tabularnewline
106 & 0.189697012359539 & 0.379394024719077 & 0.810302987640461 \tabularnewline
107 & 0.209682572010321 & 0.419365144020642 & 0.790317427989679 \tabularnewline
108 & 0.197573658959328 & 0.395147317918655 & 0.802426341040672 \tabularnewline
109 & 0.298913237932749 & 0.597826475865498 & 0.701086762067251 \tabularnewline
110 & 0.287098447807042 & 0.574196895614084 & 0.712901552192958 \tabularnewline
111 & 0.25753728295217 & 0.51507456590434 & 0.74246271704783 \tabularnewline
112 & 0.248765742029713 & 0.497531484059426 & 0.751234257970287 \tabularnewline
113 & 0.226013130165377 & 0.452026260330755 & 0.773986869834623 \tabularnewline
114 & 0.205930561454761 & 0.411861122909521 & 0.794069438545239 \tabularnewline
115 & 0.182322057701404 & 0.364644115402808 & 0.817677942298596 \tabularnewline
116 & 0.159809353817992 & 0.319618707635984 & 0.840190646182008 \tabularnewline
117 & 0.143435199367818 & 0.286870398735636 & 0.856564800632182 \tabularnewline
118 & 0.182767186817506 & 0.365534373635012 & 0.817232813182494 \tabularnewline
119 & 0.188221689620496 & 0.376443379240992 & 0.811778310379504 \tabularnewline
120 & 0.167236650588105 & 0.33447330117621 & 0.832763349411895 \tabularnewline
121 & 0.152247558756386 & 0.304495117512771 & 0.847752441243614 \tabularnewline
122 & 0.133643081204771 & 0.267286162409541 & 0.866356918795229 \tabularnewline
123 & 0.159853796873047 & 0.319707593746094 & 0.840146203126953 \tabularnewline
124 & 0.143265119401367 & 0.286530238802735 & 0.856734880598633 \tabularnewline
125 & 0.133970479841078 & 0.267940959682156 & 0.866029520158922 \tabularnewline
126 & 0.123817761660138 & 0.247635523320277 & 0.876182238339862 \tabularnewline
127 & 0.107051383944243 & 0.214102767888487 & 0.892948616055757 \tabularnewline
128 & 0.0946236822343432 & 0.189247364468686 & 0.905376317765657 \tabularnewline
129 & 0.0806951666417976 & 0.161390333283595 & 0.919304833358202 \tabularnewline
130 & 0.0797395996660685 & 0.159479199332137 & 0.920260400333932 \tabularnewline
131 & 0.0811829643708844 & 0.162365928741769 & 0.918817035629116 \tabularnewline
132 & 0.0740215027367893 & 0.148043005473579 & 0.925978497263211 \tabularnewline
133 & 0.0672122337624047 & 0.134424467524809 & 0.932787766237595 \tabularnewline
134 & 0.056451644362918 & 0.112903288725836 & 0.943548355637082 \tabularnewline
135 & 0.0584502636749899 & 0.11690052734998 & 0.94154973632501 \tabularnewline
136 & 0.117404055953244 & 0.234808111906488 & 0.882595944046756 \tabularnewline
137 & 0.101138049228714 & 0.202276098457428 & 0.898861950771286 \tabularnewline
138 & 0.0891995421515811 & 0.178399084303162 & 0.910800457848419 \tabularnewline
139 & 0.0866462760895749 & 0.17329255217915 & 0.913353723910425 \tabularnewline
140 & 0.0826863853783031 & 0.165372770756606 & 0.917313614621697 \tabularnewline
141 & 0.0961749072784346 & 0.192349814556869 & 0.903825092721565 \tabularnewline
142 & 0.0976872885438322 & 0.195374577087664 & 0.902312711456168 \tabularnewline
143 & 0.083337690858455 & 0.16667538171691 & 0.916662309141545 \tabularnewline
144 & 0.0702608927353499 & 0.1405217854707 & 0.92973910726465 \tabularnewline
145 & 0.0590561131695898 & 0.11811222633918 & 0.94094388683041 \tabularnewline
146 & 0.0497475926592345 & 0.0994951853184689 & 0.950252407340766 \tabularnewline
147 & 0.0565471990461419 & 0.113094398092284 & 0.943452800953858 \tabularnewline
148 & 0.0634491051865091 & 0.126898210373018 & 0.936550894813491 \tabularnewline
149 & 0.0594822715720168 & 0.118964543144034 & 0.940517728427983 \tabularnewline
150 & 0.0496370673656443 & 0.0992741347312886 & 0.950362932634356 \tabularnewline
151 & 0.0618278872888485 & 0.123655774577697 & 0.938172112711151 \tabularnewline
152 & 0.0596332015889051 & 0.11926640317781 & 0.940366798411095 \tabularnewline
153 & 0.0611924738355772 & 0.122384947671154 & 0.938807526164423 \tabularnewline
154 & 0.0631594055979461 & 0.126318811195892 & 0.936840594402054 \tabularnewline
155 & 0.0672261391567965 & 0.134452278313593 & 0.932773860843203 \tabularnewline
156 & 0.0573027096167716 & 0.114605419233543 & 0.942697290383228 \tabularnewline
157 & 0.04799511474441 & 0.0959902294888199 & 0.95200488525559 \tabularnewline
158 & 0.0403854843646015 & 0.0807709687292029 & 0.959614515635399 \tabularnewline
159 & 0.0557196448254356 & 0.111439289650871 & 0.944280355174564 \tabularnewline
160 & 0.0613576824792566 & 0.122715364958513 & 0.938642317520743 \tabularnewline
161 & 0.0519123761587446 & 0.103824752317489 & 0.948087623841255 \tabularnewline
162 & 0.0907541180334106 & 0.181508236066821 & 0.909245881966589 \tabularnewline
163 & 0.0805648248749839 & 0.161129649749968 & 0.919435175125016 \tabularnewline
164 & 0.276266002478185 & 0.552532004956371 & 0.723733997521815 \tabularnewline
165 & 0.251135419920348 & 0.502270839840697 & 0.748864580079652 \tabularnewline
166 & 0.316177194964821 & 0.632354389929642 & 0.683822805035179 \tabularnewline
167 & 0.300094102552045 & 0.60018820510409 & 0.699905897447955 \tabularnewline
168 & 0.283055038918826 & 0.566110077837652 & 0.716944961081174 \tabularnewline
169 & 0.255693318373649 & 0.511386636747298 & 0.744306681626351 \tabularnewline
170 & 0.23324390492083 & 0.46648780984166 & 0.76675609507917 \tabularnewline
171 & 0.231287107538937 & 0.462574215077874 & 0.768712892461063 \tabularnewline
172 & 0.205146793153042 & 0.410293586306085 & 0.794853206846958 \tabularnewline
173 & 0.257458988497364 & 0.514917976994728 & 0.742541011502636 \tabularnewline
174 & 0.248149486241894 & 0.496298972483788 & 0.751850513758106 \tabularnewline
175 & 0.232585882075532 & 0.465171764151065 & 0.767414117924468 \tabularnewline
176 & 0.2743271564574 & 0.5486543129148 & 0.7256728435426 \tabularnewline
177 & 0.255947742230173 & 0.511895484460346 & 0.744052257769827 \tabularnewline
178 & 0.26540611664668 & 0.53081223329336 & 0.73459388335332 \tabularnewline
179 & 0.260640303372295 & 0.521280606744591 & 0.739359696627705 \tabularnewline
180 & 0.234394685170382 & 0.468789370340764 & 0.765605314829618 \tabularnewline
181 & 0.264884199666778 & 0.529768399333556 & 0.735115800333222 \tabularnewline
182 & 0.382174953374076 & 0.764349906748152 & 0.617825046625924 \tabularnewline
183 & 0.373723457501472 & 0.747446915002943 & 0.626276542498528 \tabularnewline
184 & 0.37213882423057 & 0.74427764846114 & 0.62786117576943 \tabularnewline
185 & 0.353362385945523 & 0.706724771891046 & 0.646637614054477 \tabularnewline
186 & 0.462545216860396 & 0.925090433720792 & 0.537454783139604 \tabularnewline
187 & 0.427047865787122 & 0.854095731574245 & 0.572952134212878 \tabularnewline
188 & 0.394022512126185 & 0.78804502425237 & 0.605977487873815 \tabularnewline
189 & 0.361925182788766 & 0.723850365577531 & 0.638074817211234 \tabularnewline
190 & 0.391789459959953 & 0.783578919919906 & 0.608210540040047 \tabularnewline
191 & 0.420355765231554 & 0.840711530463108 & 0.579644234768446 \tabularnewline
192 & 0.441295371821786 & 0.882590743643571 & 0.558704628178214 \tabularnewline
193 & 0.42899901386325 & 0.857998027726499 & 0.57100098613675 \tabularnewline
194 & 0.398571551723631 & 0.797143103447262 & 0.601428448276369 \tabularnewline
195 & 0.370557754594864 & 0.741115509189728 & 0.629442245405136 \tabularnewline
196 & 0.408423178770892 & 0.816846357541785 & 0.591576821229107 \tabularnewline
197 & 0.612863764034588 & 0.774272471930824 & 0.387136235965412 \tabularnewline
198 & 0.622181013286987 & 0.755637973426026 & 0.377818986713013 \tabularnewline
199 & 0.581584218962222 & 0.836831562075555 & 0.418415781037778 \tabularnewline
200 & 0.540181267005391 & 0.919637465989217 & 0.459818732994609 \tabularnewline
201 & 0.496972674548631 & 0.993945349097262 & 0.503027325451369 \tabularnewline
202 & 0.457269532744921 & 0.914539065489842 & 0.542730467255079 \tabularnewline
203 & 0.437954589286217 & 0.875909178572433 & 0.562045410713783 \tabularnewline
204 & 0.426365291512963 & 0.852730583025927 & 0.573634708487037 \tabularnewline
205 & 0.390004400010634 & 0.780008800021269 & 0.609995599989366 \tabularnewline
206 & 0.349368251641213 & 0.698736503282426 & 0.650631748358787 \tabularnewline
207 & 0.311052494102322 & 0.622104988204645 & 0.688947505897678 \tabularnewline
208 & 0.277875756184204 & 0.555751512368407 & 0.722124243815796 \tabularnewline
209 & 0.241452461276785 & 0.48290492255357 & 0.758547538723215 \tabularnewline
210 & 0.237911913483984 & 0.475823826967967 & 0.762088086516016 \tabularnewline
211 & 0.212197755242311 & 0.424395510484623 & 0.787802244757689 \tabularnewline
212 & 0.182532869243144 & 0.365065738486289 & 0.817467130756856 \tabularnewline
213 & 0.209758924638653 & 0.419517849277305 & 0.790241075361347 \tabularnewline
214 & 0.191923409204894 & 0.383846818409788 & 0.808076590795106 \tabularnewline
215 & 0.164584814539718 & 0.329169629079437 & 0.835415185460282 \tabularnewline
216 & 0.140356845485285 & 0.280713690970569 & 0.859643154514716 \tabularnewline
217 & 0.137103001265639 & 0.274206002531278 & 0.862896998734361 \tabularnewline
218 & 0.115488563706044 & 0.230977127412088 & 0.884511436293956 \tabularnewline
219 & 0.128199424146003 & 0.256398848292006 & 0.871800575853997 \tabularnewline
220 & 0.134602228246461 & 0.269204456492922 & 0.865397771753539 \tabularnewline
221 & 0.122666816462018 & 0.245333632924036 & 0.877333183537982 \tabularnewline
222 & 0.0984709745090663 & 0.196941949018133 & 0.901529025490934 \tabularnewline
223 & 0.0848352711082189 & 0.169670542216438 & 0.915164728891781 \tabularnewline
224 & 0.0782241045027786 & 0.156448209005557 & 0.921775895497221 \tabularnewline
225 & 0.0723486599192549 & 0.14469731983851 & 0.927651340080745 \tabularnewline
226 & 0.0603142822993642 & 0.120628564598728 & 0.939685717700636 \tabularnewline
227 & 0.0458334550172866 & 0.0916669100345733 & 0.954166544982713 \tabularnewline
228 & 0.0378268680760012 & 0.0756537361520023 & 0.962173131923999 \tabularnewline
229 & 0.0674071472309368 & 0.134814294461874 & 0.932592852769063 \tabularnewline
230 & 0.0555037402663945 & 0.111007480532789 & 0.944496259733606 \tabularnewline
231 & 0.0426988842887535 & 0.085397768577507 & 0.957301115711247 \tabularnewline
232 & 0.0361299648991624 & 0.0722599297983247 & 0.963870035100838 \tabularnewline
233 & 0.0689259777086383 & 0.137851955417277 & 0.931074022291362 \tabularnewline
234 & 0.0747655372415716 & 0.149531074483143 & 0.925234462758428 \tabularnewline
235 & 0.0678587182935236 & 0.135717436587047 & 0.932141281706476 \tabularnewline
236 & 0.0501872170200336 & 0.100374434040067 & 0.949812782979966 \tabularnewline
237 & 0.070074130296254 & 0.140148260592508 & 0.929925869703746 \tabularnewline
238 & 0.0943215803721887 & 0.188643160744377 & 0.905678419627811 \tabularnewline
239 & 0.183928440653337 & 0.367856881306673 & 0.816071559346663 \tabularnewline
240 & 0.225892502962719 & 0.451785005925438 & 0.774107497037281 \tabularnewline
241 & 0.209185140244159 & 0.418370280488319 & 0.790814859755841 \tabularnewline
242 & 0.636287558127545 & 0.72742488374491 & 0.363712441872455 \tabularnewline
243 & 0.551932710513158 & 0.896134578973684 & 0.448067289486842 \tabularnewline
244 & 0.543092205206086 & 0.913815589587827 & 0.456907794793914 \tabularnewline
245 & 0.475587871259267 & 0.951175742518534 & 0.524412128740733 \tabularnewline
246 & 0.389202917632747 & 0.778405835265494 & 0.610797082367253 \tabularnewline
247 & 0.375071331895966 & 0.750142663791932 & 0.624928668104034 \tabularnewline
248 & 0.323302619537463 & 0.646605239074927 & 0.676697380462536 \tabularnewline
249 & 0.327870209857717 & 0.655740419715434 & 0.672129790142283 \tabularnewline
250 & 0.279181044242632 & 0.558362088485264 & 0.720818955757368 \tabularnewline
251 & 0.172851221421365 & 0.345702442842729 & 0.827148778578635 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=225732&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]13[/C][C]0.98227829805001[/C][C]0.0354434038999791[/C][C]0.0177217019499896[/C][/ROW]
[ROW][C]14[/C][C]0.98946280841448[/C][C]0.0210743831710396[/C][C]0.0105371915855198[/C][/ROW]
[ROW][C]15[/C][C]0.978704983475408[/C][C]0.0425900330491839[/C][C]0.0212950165245919[/C][/ROW]
[ROW][C]16[/C][C]0.960160056722008[/C][C]0.0796798865559846[/C][C]0.0398399432779923[/C][/ROW]
[ROW][C]17[/C][C]0.983075811548967[/C][C]0.0338483769020659[/C][C]0.0169241884510329[/C][/ROW]
[ROW][C]18[/C][C]0.974207878065719[/C][C]0.0515842438685621[/C][C]0.025792121934281[/C][/ROW]
[ROW][C]19[/C][C]0.983709024942004[/C][C]0.0325819501159916[/C][C]0.0162909750579958[/C][/ROW]
[ROW][C]20[/C][C]0.973103153930181[/C][C]0.0537936921396387[/C][C]0.0268968460698194[/C][/ROW]
[ROW][C]21[/C][C]0.96318754236794[/C][C]0.0736249152641204[/C][C]0.0368124576320602[/C][/ROW]
[ROW][C]22[/C][C]0.949622696165785[/C][C]0.10075460766843[/C][C]0.050377303834215[/C][/ROW]
[ROW][C]23[/C][C]0.932451924976095[/C][C]0.13509615004781[/C][C]0.0675480750239049[/C][/ROW]
[ROW][C]24[/C][C]0.907121832794755[/C][C]0.18575633441049[/C][C]0.0928781672052451[/C][/ROW]
[ROW][C]25[/C][C]0.880619508290473[/C][C]0.238760983419054[/C][C]0.119380491709527[/C][/ROW]
[ROW][C]26[/C][C]0.865321672868962[/C][C]0.269356654262076[/C][C]0.134678327131038[/C][/ROW]
[ROW][C]27[/C][C]0.891678758276833[/C][C]0.216642483446334[/C][C]0.108321241723167[/C][/ROW]
[ROW][C]28[/C][C]0.867297710212322[/C][C]0.265404579575356[/C][C]0.132702289787678[/C][/ROW]
[ROW][C]29[/C][C]0.902512030548701[/C][C]0.194975938902598[/C][C]0.097487969451299[/C][/ROW]
[ROW][C]30[/C][C]0.882789198605364[/C][C]0.234421602789273[/C][C]0.117210801394636[/C][/ROW]
[ROW][C]31[/C][C]0.869432462096682[/C][C]0.261135075806636[/C][C]0.130567537903318[/C][/ROW]
[ROW][C]32[/C][C]0.851595038698928[/C][C]0.296809922602144[/C][C]0.148404961301072[/C][/ROW]
[ROW][C]33[/C][C]0.814560277251494[/C][C]0.370879445497012[/C][C]0.185439722748506[/C][/ROW]
[ROW][C]34[/C][C]0.775355262693675[/C][C]0.44928947461265[/C][C]0.224644737306325[/C][/ROW]
[ROW][C]35[/C][C]0.759819995995872[/C][C]0.480360008008257[/C][C]0.240180004004128[/C][/ROW]
[ROW][C]36[/C][C]0.761047995770107[/C][C]0.477904008459787[/C][C]0.238952004229893[/C][/ROW]
[ROW][C]37[/C][C]0.858842078744202[/C][C]0.282315842511596[/C][C]0.141157921255798[/C][/ROW]
[ROW][C]38[/C][C]0.82608145127047[/C][C]0.34783709745906[/C][C]0.17391854872953[/C][/ROW]
[ROW][C]39[/C][C]0.78878440936402[/C][C]0.42243118127196[/C][C]0.21121559063598[/C][/ROW]
[ROW][C]40[/C][C]0.766260047089633[/C][C]0.467479905820735[/C][C]0.233739952910367[/C][/ROW]
[ROW][C]41[/C][C]0.732949458975151[/C][C]0.534101082049698[/C][C]0.267050541024849[/C][/ROW]
[ROW][C]42[/C][C]0.750305931733946[/C][C]0.499388136532108[/C][C]0.249694068266054[/C][/ROW]
[ROW][C]43[/C][C]0.756059098674986[/C][C]0.487881802650027[/C][C]0.243940901325014[/C][/ROW]
[ROW][C]44[/C][C]0.721461708483994[/C][C]0.557076583032011[/C][C]0.278538291516006[/C][/ROW]
[ROW][C]45[/C][C]0.678412063947069[/C][C]0.643175872105863[/C][C]0.321587936052932[/C][/ROW]
[ROW][C]46[/C][C]0.635555600607252[/C][C]0.728888798785496[/C][C]0.364444399392748[/C][/ROW]
[ROW][C]47[/C][C]0.624968898896086[/C][C]0.750062202207829[/C][C]0.375031101103915[/C][/ROW]
[ROW][C]48[/C][C]0.580280575546297[/C][C]0.839438848907406[/C][C]0.419719424453703[/C][/ROW]
[ROW][C]49[/C][C]0.72870509695116[/C][C]0.54258980609768[/C][C]0.27129490304884[/C][/ROW]
[ROW][C]50[/C][C]0.690931073938446[/C][C]0.618137852123109[/C][C]0.309068926061554[/C][/ROW]
[ROW][C]51[/C][C]0.652637818783612[/C][C]0.694724362432777[/C][C]0.347362181216388[/C][/ROW]
[ROW][C]52[/C][C]0.633684315611974[/C][C]0.732631368776052[/C][C]0.366315684388026[/C][/ROW]
[ROW][C]53[/C][C]0.662763602326344[/C][C]0.674472795347312[/C][C]0.337236397673656[/C][/ROW]
[ROW][C]54[/C][C]0.639016513086114[/C][C]0.721966973827771[/C][C]0.360983486913886[/C][/ROW]
[ROW][C]55[/C][C]0.630689400750167[/C][C]0.738621198499665[/C][C]0.369310599249833[/C][/ROW]
[ROW][C]56[/C][C]0.693568671513958[/C][C]0.612862656972083[/C][C]0.306431328486042[/C][/ROW]
[ROW][C]57[/C][C]0.693294708062703[/C][C]0.613410583874594[/C][C]0.306705291937297[/C][/ROW]
[ROW][C]58[/C][C]0.700711268541408[/C][C]0.598577462917185[/C][C]0.299288731458592[/C][/ROW]
[ROW][C]59[/C][C]0.693021517365368[/C][C]0.613956965269265[/C][C]0.306978482634632[/C][/ROW]
[ROW][C]60[/C][C]0.688583384778746[/C][C]0.622833230442507[/C][C]0.311416615221254[/C][/ROW]
[ROW][C]61[/C][C]0.715153865694836[/C][C]0.569692268610327[/C][C]0.284846134305164[/C][/ROW]
[ROW][C]62[/C][C]0.678414975959446[/C][C]0.643170048081108[/C][C]0.321585024040554[/C][/ROW]
[ROW][C]63[/C][C]0.646059647937994[/C][C]0.707880704124012[/C][C]0.353940352062006[/C][/ROW]
[ROW][C]64[/C][C]0.607703180693009[/C][C]0.784593638613982[/C][C]0.392296819306991[/C][/ROW]
[ROW][C]65[/C][C]0.568432336063621[/C][C]0.863135327872759[/C][C]0.431567663936379[/C][/ROW]
[ROW][C]66[/C][C]0.559129239800906[/C][C]0.881741520398189[/C][C]0.440870760199094[/C][/ROW]
[ROW][C]67[/C][C]0.586090181072835[/C][C]0.827819637854331[/C][C]0.413909818927165[/C][/ROW]
[ROW][C]68[/C][C]0.560442275699888[/C][C]0.879115448600223[/C][C]0.439557724300112[/C][/ROW]
[ROW][C]69[/C][C]0.51986564290115[/C][C]0.9602687141977[/C][C]0.48013435709885[/C][/ROW]
[ROW][C]70[/C][C]0.492593388726259[/C][C]0.985186777452518[/C][C]0.507406611273741[/C][/ROW]
[ROW][C]71[/C][C]0.456632571454764[/C][C]0.913265142909529[/C][C]0.543367428545236[/C][/ROW]
[ROW][C]72[/C][C]0.425885325292257[/C][C]0.851770650584515[/C][C]0.574114674707743[/C][/ROW]
[ROW][C]73[/C][C]0.394377316168468[/C][C]0.788754632336936[/C][C]0.605622683831532[/C][/ROW]
[ROW][C]74[/C][C]0.377724753415055[/C][C]0.755449506830109[/C][C]0.622275246584945[/C][/ROW]
[ROW][C]75[/C][C]0.351834080489253[/C][C]0.703668160978507[/C][C]0.648165919510747[/C][/ROW]
[ROW][C]76[/C][C]0.490684103539827[/C][C]0.981368207079653[/C][C]0.509315896460173[/C][/ROW]
[ROW][C]77[/C][C]0.460432004679267[/C][C]0.920864009358535[/C][C]0.539567995320733[/C][/ROW]
[ROW][C]78[/C][C]0.453272599379576[/C][C]0.906545198759152[/C][C]0.546727400620424[/C][/ROW]
[ROW][C]79[/C][C]0.414567059367328[/C][C]0.829134118734655[/C][C]0.585432940632672[/C][/ROW]
[ROW][C]80[/C][C]0.550151850685748[/C][C]0.899696298628503[/C][C]0.449848149314252[/C][/ROW]
[ROW][C]81[/C][C]0.516138324664021[/C][C]0.967723350671958[/C][C]0.483861675335979[/C][/ROW]
[ROW][C]82[/C][C]0.549994599571753[/C][C]0.900010800856493[/C][C]0.450005400428247[/C][/ROW]
[ROW][C]83[/C][C]0.511885673730481[/C][C]0.976228652539038[/C][C]0.488114326269519[/C][/ROW]
[ROW][C]84[/C][C]0.47516421772415[/C][C]0.9503284354483[/C][C]0.52483578227585[/C][/ROW]
[ROW][C]85[/C][C]0.436789228739669[/C][C]0.873578457479339[/C][C]0.563210771260331[/C][/ROW]
[ROW][C]86[/C][C]0.401298730329483[/C][C]0.802597460658967[/C][C]0.598701269670517[/C][/ROW]
[ROW][C]87[/C][C]0.371831830217815[/C][C]0.74366366043563[/C][C]0.628168169782185[/C][/ROW]
[ROW][C]88[/C][C]0.338494399829458[/C][C]0.676988799658916[/C][C]0.661505600170542[/C][/ROW]
[ROW][C]89[/C][C]0.414500081079213[/C][C]0.829000162158426[/C][C]0.585499918920787[/C][/ROW]
[ROW][C]90[/C][C]0.381274127696232[/C][C]0.762548255392464[/C][C]0.618725872303768[/C][/ROW]
[ROW][C]91[/C][C]0.351331509616174[/C][C]0.702663019232349[/C][C]0.648668490383826[/C][/ROW]
[ROW][C]92[/C][C]0.320052405039352[/C][C]0.640104810078704[/C][C]0.679947594960648[/C][/ROW]
[ROW][C]93[/C][C]0.313101634456205[/C][C]0.62620326891241[/C][C]0.686898365543795[/C][/ROW]
[ROW][C]94[/C][C]0.285576513437573[/C][C]0.571153026875145[/C][C]0.714423486562427[/C][/ROW]
[ROW][C]95[/C][C]0.253833221804065[/C][C]0.507666443608129[/C][C]0.746166778195935[/C][/ROW]
[ROW][C]96[/C][C]0.235902114170599[/C][C]0.471804228341199[/C][C]0.764097885829401[/C][/ROW]
[ROW][C]97[/C][C]0.217469629266799[/C][C]0.434939258533598[/C][C]0.782530370733201[/C][/ROW]
[ROW][C]98[/C][C]0.191680382102666[/C][C]0.383360764205331[/C][C]0.808319617897334[/C][/ROW]
[ROW][C]99[/C][C]0.187650918769949[/C][C]0.375301837539898[/C][C]0.812349081230051[/C][/ROW]
[ROW][C]100[/C][C]0.163931824092306[/C][C]0.327863648184613[/C][C]0.836068175907694[/C][/ROW]
[ROW][C]101[/C][C]0.152921429601899[/C][C]0.305842859203797[/C][C]0.847078570398101[/C][/ROW]
[ROW][C]102[/C][C]0.136621301670771[/C][C]0.273242603341542[/C][C]0.863378698329229[/C][/ROW]
[ROW][C]103[/C][C]0.183110869957307[/C][C]0.366221739914613[/C][C]0.816889130042693[/C][/ROW]
[ROW][C]104[/C][C]0.21138772697525[/C][C]0.422775453950501[/C][C]0.78861227302475[/C][/ROW]
[ROW][C]105[/C][C]0.215172920045247[/C][C]0.430345840090493[/C][C]0.784827079954753[/C][/ROW]
[ROW][C]106[/C][C]0.189697012359539[/C][C]0.379394024719077[/C][C]0.810302987640461[/C][/ROW]
[ROW][C]107[/C][C]0.209682572010321[/C][C]0.419365144020642[/C][C]0.790317427989679[/C][/ROW]
[ROW][C]108[/C][C]0.197573658959328[/C][C]0.395147317918655[/C][C]0.802426341040672[/C][/ROW]
[ROW][C]109[/C][C]0.298913237932749[/C][C]0.597826475865498[/C][C]0.701086762067251[/C][/ROW]
[ROW][C]110[/C][C]0.287098447807042[/C][C]0.574196895614084[/C][C]0.712901552192958[/C][/ROW]
[ROW][C]111[/C][C]0.25753728295217[/C][C]0.51507456590434[/C][C]0.74246271704783[/C][/ROW]
[ROW][C]112[/C][C]0.248765742029713[/C][C]0.497531484059426[/C][C]0.751234257970287[/C][/ROW]
[ROW][C]113[/C][C]0.226013130165377[/C][C]0.452026260330755[/C][C]0.773986869834623[/C][/ROW]
[ROW][C]114[/C][C]0.205930561454761[/C][C]0.411861122909521[/C][C]0.794069438545239[/C][/ROW]
[ROW][C]115[/C][C]0.182322057701404[/C][C]0.364644115402808[/C][C]0.817677942298596[/C][/ROW]
[ROW][C]116[/C][C]0.159809353817992[/C][C]0.319618707635984[/C][C]0.840190646182008[/C][/ROW]
[ROW][C]117[/C][C]0.143435199367818[/C][C]0.286870398735636[/C][C]0.856564800632182[/C][/ROW]
[ROW][C]118[/C][C]0.182767186817506[/C][C]0.365534373635012[/C][C]0.817232813182494[/C][/ROW]
[ROW][C]119[/C][C]0.188221689620496[/C][C]0.376443379240992[/C][C]0.811778310379504[/C][/ROW]
[ROW][C]120[/C][C]0.167236650588105[/C][C]0.33447330117621[/C][C]0.832763349411895[/C][/ROW]
[ROW][C]121[/C][C]0.152247558756386[/C][C]0.304495117512771[/C][C]0.847752441243614[/C][/ROW]
[ROW][C]122[/C][C]0.133643081204771[/C][C]0.267286162409541[/C][C]0.866356918795229[/C][/ROW]
[ROW][C]123[/C][C]0.159853796873047[/C][C]0.319707593746094[/C][C]0.840146203126953[/C][/ROW]
[ROW][C]124[/C][C]0.143265119401367[/C][C]0.286530238802735[/C][C]0.856734880598633[/C][/ROW]
[ROW][C]125[/C][C]0.133970479841078[/C][C]0.267940959682156[/C][C]0.866029520158922[/C][/ROW]
[ROW][C]126[/C][C]0.123817761660138[/C][C]0.247635523320277[/C][C]0.876182238339862[/C][/ROW]
[ROW][C]127[/C][C]0.107051383944243[/C][C]0.214102767888487[/C][C]0.892948616055757[/C][/ROW]
[ROW][C]128[/C][C]0.0946236822343432[/C][C]0.189247364468686[/C][C]0.905376317765657[/C][/ROW]
[ROW][C]129[/C][C]0.0806951666417976[/C][C]0.161390333283595[/C][C]0.919304833358202[/C][/ROW]
[ROW][C]130[/C][C]0.0797395996660685[/C][C]0.159479199332137[/C][C]0.920260400333932[/C][/ROW]
[ROW][C]131[/C][C]0.0811829643708844[/C][C]0.162365928741769[/C][C]0.918817035629116[/C][/ROW]
[ROW][C]132[/C][C]0.0740215027367893[/C][C]0.148043005473579[/C][C]0.925978497263211[/C][/ROW]
[ROW][C]133[/C][C]0.0672122337624047[/C][C]0.134424467524809[/C][C]0.932787766237595[/C][/ROW]
[ROW][C]134[/C][C]0.056451644362918[/C][C]0.112903288725836[/C][C]0.943548355637082[/C][/ROW]
[ROW][C]135[/C][C]0.0584502636749899[/C][C]0.11690052734998[/C][C]0.94154973632501[/C][/ROW]
[ROW][C]136[/C][C]0.117404055953244[/C][C]0.234808111906488[/C][C]0.882595944046756[/C][/ROW]
[ROW][C]137[/C][C]0.101138049228714[/C][C]0.202276098457428[/C][C]0.898861950771286[/C][/ROW]
[ROW][C]138[/C][C]0.0891995421515811[/C][C]0.178399084303162[/C][C]0.910800457848419[/C][/ROW]
[ROW][C]139[/C][C]0.0866462760895749[/C][C]0.17329255217915[/C][C]0.913353723910425[/C][/ROW]
[ROW][C]140[/C][C]0.0826863853783031[/C][C]0.165372770756606[/C][C]0.917313614621697[/C][/ROW]
[ROW][C]141[/C][C]0.0961749072784346[/C][C]0.192349814556869[/C][C]0.903825092721565[/C][/ROW]
[ROW][C]142[/C][C]0.0976872885438322[/C][C]0.195374577087664[/C][C]0.902312711456168[/C][/ROW]
[ROW][C]143[/C][C]0.083337690858455[/C][C]0.16667538171691[/C][C]0.916662309141545[/C][/ROW]
[ROW][C]144[/C][C]0.0702608927353499[/C][C]0.1405217854707[/C][C]0.92973910726465[/C][/ROW]
[ROW][C]145[/C][C]0.0590561131695898[/C][C]0.11811222633918[/C][C]0.94094388683041[/C][/ROW]
[ROW][C]146[/C][C]0.0497475926592345[/C][C]0.0994951853184689[/C][C]0.950252407340766[/C][/ROW]
[ROW][C]147[/C][C]0.0565471990461419[/C][C]0.113094398092284[/C][C]0.943452800953858[/C][/ROW]
[ROW][C]148[/C][C]0.0634491051865091[/C][C]0.126898210373018[/C][C]0.936550894813491[/C][/ROW]
[ROW][C]149[/C][C]0.0594822715720168[/C][C]0.118964543144034[/C][C]0.940517728427983[/C][/ROW]
[ROW][C]150[/C][C]0.0496370673656443[/C][C]0.0992741347312886[/C][C]0.950362932634356[/C][/ROW]
[ROW][C]151[/C][C]0.0618278872888485[/C][C]0.123655774577697[/C][C]0.938172112711151[/C][/ROW]
[ROW][C]152[/C][C]0.0596332015889051[/C][C]0.11926640317781[/C][C]0.940366798411095[/C][/ROW]
[ROW][C]153[/C][C]0.0611924738355772[/C][C]0.122384947671154[/C][C]0.938807526164423[/C][/ROW]
[ROW][C]154[/C][C]0.0631594055979461[/C][C]0.126318811195892[/C][C]0.936840594402054[/C][/ROW]
[ROW][C]155[/C][C]0.0672261391567965[/C][C]0.134452278313593[/C][C]0.932773860843203[/C][/ROW]
[ROW][C]156[/C][C]0.0573027096167716[/C][C]0.114605419233543[/C][C]0.942697290383228[/C][/ROW]
[ROW][C]157[/C][C]0.04799511474441[/C][C]0.0959902294888199[/C][C]0.95200488525559[/C][/ROW]
[ROW][C]158[/C][C]0.0403854843646015[/C][C]0.0807709687292029[/C][C]0.959614515635399[/C][/ROW]
[ROW][C]159[/C][C]0.0557196448254356[/C][C]0.111439289650871[/C][C]0.944280355174564[/C][/ROW]
[ROW][C]160[/C][C]0.0613576824792566[/C][C]0.122715364958513[/C][C]0.938642317520743[/C][/ROW]
[ROW][C]161[/C][C]0.0519123761587446[/C][C]0.103824752317489[/C][C]0.948087623841255[/C][/ROW]
[ROW][C]162[/C][C]0.0907541180334106[/C][C]0.181508236066821[/C][C]0.909245881966589[/C][/ROW]
[ROW][C]163[/C][C]0.0805648248749839[/C][C]0.161129649749968[/C][C]0.919435175125016[/C][/ROW]
[ROW][C]164[/C][C]0.276266002478185[/C][C]0.552532004956371[/C][C]0.723733997521815[/C][/ROW]
[ROW][C]165[/C][C]0.251135419920348[/C][C]0.502270839840697[/C][C]0.748864580079652[/C][/ROW]
[ROW][C]166[/C][C]0.316177194964821[/C][C]0.632354389929642[/C][C]0.683822805035179[/C][/ROW]
[ROW][C]167[/C][C]0.300094102552045[/C][C]0.60018820510409[/C][C]0.699905897447955[/C][/ROW]
[ROW][C]168[/C][C]0.283055038918826[/C][C]0.566110077837652[/C][C]0.716944961081174[/C][/ROW]
[ROW][C]169[/C][C]0.255693318373649[/C][C]0.511386636747298[/C][C]0.744306681626351[/C][/ROW]
[ROW][C]170[/C][C]0.23324390492083[/C][C]0.46648780984166[/C][C]0.76675609507917[/C][/ROW]
[ROW][C]171[/C][C]0.231287107538937[/C][C]0.462574215077874[/C][C]0.768712892461063[/C][/ROW]
[ROW][C]172[/C][C]0.205146793153042[/C][C]0.410293586306085[/C][C]0.794853206846958[/C][/ROW]
[ROW][C]173[/C][C]0.257458988497364[/C][C]0.514917976994728[/C][C]0.742541011502636[/C][/ROW]
[ROW][C]174[/C][C]0.248149486241894[/C][C]0.496298972483788[/C][C]0.751850513758106[/C][/ROW]
[ROW][C]175[/C][C]0.232585882075532[/C][C]0.465171764151065[/C][C]0.767414117924468[/C][/ROW]
[ROW][C]176[/C][C]0.2743271564574[/C][C]0.5486543129148[/C][C]0.7256728435426[/C][/ROW]
[ROW][C]177[/C][C]0.255947742230173[/C][C]0.511895484460346[/C][C]0.744052257769827[/C][/ROW]
[ROW][C]178[/C][C]0.26540611664668[/C][C]0.53081223329336[/C][C]0.73459388335332[/C][/ROW]
[ROW][C]179[/C][C]0.260640303372295[/C][C]0.521280606744591[/C][C]0.739359696627705[/C][/ROW]
[ROW][C]180[/C][C]0.234394685170382[/C][C]0.468789370340764[/C][C]0.765605314829618[/C][/ROW]
[ROW][C]181[/C][C]0.264884199666778[/C][C]0.529768399333556[/C][C]0.735115800333222[/C][/ROW]
[ROW][C]182[/C][C]0.382174953374076[/C][C]0.764349906748152[/C][C]0.617825046625924[/C][/ROW]
[ROW][C]183[/C][C]0.373723457501472[/C][C]0.747446915002943[/C][C]0.626276542498528[/C][/ROW]
[ROW][C]184[/C][C]0.37213882423057[/C][C]0.74427764846114[/C][C]0.62786117576943[/C][/ROW]
[ROW][C]185[/C][C]0.353362385945523[/C][C]0.706724771891046[/C][C]0.646637614054477[/C][/ROW]
[ROW][C]186[/C][C]0.462545216860396[/C][C]0.925090433720792[/C][C]0.537454783139604[/C][/ROW]
[ROW][C]187[/C][C]0.427047865787122[/C][C]0.854095731574245[/C][C]0.572952134212878[/C][/ROW]
[ROW][C]188[/C][C]0.394022512126185[/C][C]0.78804502425237[/C][C]0.605977487873815[/C][/ROW]
[ROW][C]189[/C][C]0.361925182788766[/C][C]0.723850365577531[/C][C]0.638074817211234[/C][/ROW]
[ROW][C]190[/C][C]0.391789459959953[/C][C]0.783578919919906[/C][C]0.608210540040047[/C][/ROW]
[ROW][C]191[/C][C]0.420355765231554[/C][C]0.840711530463108[/C][C]0.579644234768446[/C][/ROW]
[ROW][C]192[/C][C]0.441295371821786[/C][C]0.882590743643571[/C][C]0.558704628178214[/C][/ROW]
[ROW][C]193[/C][C]0.42899901386325[/C][C]0.857998027726499[/C][C]0.57100098613675[/C][/ROW]
[ROW][C]194[/C][C]0.398571551723631[/C][C]0.797143103447262[/C][C]0.601428448276369[/C][/ROW]
[ROW][C]195[/C][C]0.370557754594864[/C][C]0.741115509189728[/C][C]0.629442245405136[/C][/ROW]
[ROW][C]196[/C][C]0.408423178770892[/C][C]0.816846357541785[/C][C]0.591576821229107[/C][/ROW]
[ROW][C]197[/C][C]0.612863764034588[/C][C]0.774272471930824[/C][C]0.387136235965412[/C][/ROW]
[ROW][C]198[/C][C]0.622181013286987[/C][C]0.755637973426026[/C][C]0.377818986713013[/C][/ROW]
[ROW][C]199[/C][C]0.581584218962222[/C][C]0.836831562075555[/C][C]0.418415781037778[/C][/ROW]
[ROW][C]200[/C][C]0.540181267005391[/C][C]0.919637465989217[/C][C]0.459818732994609[/C][/ROW]
[ROW][C]201[/C][C]0.496972674548631[/C][C]0.993945349097262[/C][C]0.503027325451369[/C][/ROW]
[ROW][C]202[/C][C]0.457269532744921[/C][C]0.914539065489842[/C][C]0.542730467255079[/C][/ROW]
[ROW][C]203[/C][C]0.437954589286217[/C][C]0.875909178572433[/C][C]0.562045410713783[/C][/ROW]
[ROW][C]204[/C][C]0.426365291512963[/C][C]0.852730583025927[/C][C]0.573634708487037[/C][/ROW]
[ROW][C]205[/C][C]0.390004400010634[/C][C]0.780008800021269[/C][C]0.609995599989366[/C][/ROW]
[ROW][C]206[/C][C]0.349368251641213[/C][C]0.698736503282426[/C][C]0.650631748358787[/C][/ROW]
[ROW][C]207[/C][C]0.311052494102322[/C][C]0.622104988204645[/C][C]0.688947505897678[/C][/ROW]
[ROW][C]208[/C][C]0.277875756184204[/C][C]0.555751512368407[/C][C]0.722124243815796[/C][/ROW]
[ROW][C]209[/C][C]0.241452461276785[/C][C]0.48290492255357[/C][C]0.758547538723215[/C][/ROW]
[ROW][C]210[/C][C]0.237911913483984[/C][C]0.475823826967967[/C][C]0.762088086516016[/C][/ROW]
[ROW][C]211[/C][C]0.212197755242311[/C][C]0.424395510484623[/C][C]0.787802244757689[/C][/ROW]
[ROW][C]212[/C][C]0.182532869243144[/C][C]0.365065738486289[/C][C]0.817467130756856[/C][/ROW]
[ROW][C]213[/C][C]0.209758924638653[/C][C]0.419517849277305[/C][C]0.790241075361347[/C][/ROW]
[ROW][C]214[/C][C]0.191923409204894[/C][C]0.383846818409788[/C][C]0.808076590795106[/C][/ROW]
[ROW][C]215[/C][C]0.164584814539718[/C][C]0.329169629079437[/C][C]0.835415185460282[/C][/ROW]
[ROW][C]216[/C][C]0.140356845485285[/C][C]0.280713690970569[/C][C]0.859643154514716[/C][/ROW]
[ROW][C]217[/C][C]0.137103001265639[/C][C]0.274206002531278[/C][C]0.862896998734361[/C][/ROW]
[ROW][C]218[/C][C]0.115488563706044[/C][C]0.230977127412088[/C][C]0.884511436293956[/C][/ROW]
[ROW][C]219[/C][C]0.128199424146003[/C][C]0.256398848292006[/C][C]0.871800575853997[/C][/ROW]
[ROW][C]220[/C][C]0.134602228246461[/C][C]0.269204456492922[/C][C]0.865397771753539[/C][/ROW]
[ROW][C]221[/C][C]0.122666816462018[/C][C]0.245333632924036[/C][C]0.877333183537982[/C][/ROW]
[ROW][C]222[/C][C]0.0984709745090663[/C][C]0.196941949018133[/C][C]0.901529025490934[/C][/ROW]
[ROW][C]223[/C][C]0.0848352711082189[/C][C]0.169670542216438[/C][C]0.915164728891781[/C][/ROW]
[ROW][C]224[/C][C]0.0782241045027786[/C][C]0.156448209005557[/C][C]0.921775895497221[/C][/ROW]
[ROW][C]225[/C][C]0.0723486599192549[/C][C]0.14469731983851[/C][C]0.927651340080745[/C][/ROW]
[ROW][C]226[/C][C]0.0603142822993642[/C][C]0.120628564598728[/C][C]0.939685717700636[/C][/ROW]
[ROW][C]227[/C][C]0.0458334550172866[/C][C]0.0916669100345733[/C][C]0.954166544982713[/C][/ROW]
[ROW][C]228[/C][C]0.0378268680760012[/C][C]0.0756537361520023[/C][C]0.962173131923999[/C][/ROW]
[ROW][C]229[/C][C]0.0674071472309368[/C][C]0.134814294461874[/C][C]0.932592852769063[/C][/ROW]
[ROW][C]230[/C][C]0.0555037402663945[/C][C]0.111007480532789[/C][C]0.944496259733606[/C][/ROW]
[ROW][C]231[/C][C]0.0426988842887535[/C][C]0.085397768577507[/C][C]0.957301115711247[/C][/ROW]
[ROW][C]232[/C][C]0.0361299648991624[/C][C]0.0722599297983247[/C][C]0.963870035100838[/C][/ROW]
[ROW][C]233[/C][C]0.0689259777086383[/C][C]0.137851955417277[/C][C]0.931074022291362[/C][/ROW]
[ROW][C]234[/C][C]0.0747655372415716[/C][C]0.149531074483143[/C][C]0.925234462758428[/C][/ROW]
[ROW][C]235[/C][C]0.0678587182935236[/C][C]0.135717436587047[/C][C]0.932141281706476[/C][/ROW]
[ROW][C]236[/C][C]0.0501872170200336[/C][C]0.100374434040067[/C][C]0.949812782979966[/C][/ROW]
[ROW][C]237[/C][C]0.070074130296254[/C][C]0.140148260592508[/C][C]0.929925869703746[/C][/ROW]
[ROW][C]238[/C][C]0.0943215803721887[/C][C]0.188643160744377[/C][C]0.905678419627811[/C][/ROW]
[ROW][C]239[/C][C]0.183928440653337[/C][C]0.367856881306673[/C][C]0.816071559346663[/C][/ROW]
[ROW][C]240[/C][C]0.225892502962719[/C][C]0.451785005925438[/C][C]0.774107497037281[/C][/ROW]
[ROW][C]241[/C][C]0.209185140244159[/C][C]0.418370280488319[/C][C]0.790814859755841[/C][/ROW]
[ROW][C]242[/C][C]0.636287558127545[/C][C]0.72742488374491[/C][C]0.363712441872455[/C][/ROW]
[ROW][C]243[/C][C]0.551932710513158[/C][C]0.896134578973684[/C][C]0.448067289486842[/C][/ROW]
[ROW][C]244[/C][C]0.543092205206086[/C][C]0.913815589587827[/C][C]0.456907794793914[/C][/ROW]
[ROW][C]245[/C][C]0.475587871259267[/C][C]0.951175742518534[/C][C]0.524412128740733[/C][/ROW]
[ROW][C]246[/C][C]0.389202917632747[/C][C]0.778405835265494[/C][C]0.610797082367253[/C][/ROW]
[ROW][C]247[/C][C]0.375071331895966[/C][C]0.750142663791932[/C][C]0.624928668104034[/C][/ROW]
[ROW][C]248[/C][C]0.323302619537463[/C][C]0.646605239074927[/C][C]0.676697380462536[/C][/ROW]
[ROW][C]249[/C][C]0.327870209857717[/C][C]0.655740419715434[/C][C]0.672129790142283[/C][/ROW]
[ROW][C]250[/C][C]0.279181044242632[/C][C]0.558362088485264[/C][C]0.720818955757368[/C][/ROW]
[ROW][C]251[/C][C]0.172851221421365[/C][C]0.345702442842729[/C][C]0.827148778578635[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=225732&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=225732&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
130.982278298050010.03544340389997910.0177217019499896
140.989462808414480.02107438317103960.0105371915855198
150.9787049834754080.04259003304918390.0212950165245919
160.9601600567220080.07967988655598460.0398399432779923
170.9830758115489670.03384837690206590.0169241884510329
180.9742078780657190.05158424386856210.025792121934281
190.9837090249420040.03258195011599160.0162909750579958
200.9731031539301810.05379369213963870.0268968460698194
210.963187542367940.07362491526412040.0368124576320602
220.9496226961657850.100754607668430.050377303834215
230.9324519249760950.135096150047810.0675480750239049
240.9071218327947550.185756334410490.0928781672052451
250.8806195082904730.2387609834190540.119380491709527
260.8653216728689620.2693566542620760.134678327131038
270.8916787582768330.2166424834463340.108321241723167
280.8672977102123220.2654045795753560.132702289787678
290.9025120305487010.1949759389025980.097487969451299
300.8827891986053640.2344216027892730.117210801394636
310.8694324620966820.2611350758066360.130567537903318
320.8515950386989280.2968099226021440.148404961301072
330.8145602772514940.3708794454970120.185439722748506
340.7753552626936750.449289474612650.224644737306325
350.7598199959958720.4803600080082570.240180004004128
360.7610479957701070.4779040084597870.238952004229893
370.8588420787442020.2823158425115960.141157921255798
380.826081451270470.347837097459060.17391854872953
390.788784409364020.422431181271960.21121559063598
400.7662600470896330.4674799058207350.233739952910367
410.7329494589751510.5341010820496980.267050541024849
420.7503059317339460.4993881365321080.249694068266054
430.7560590986749860.4878818026500270.243940901325014
440.7214617084839940.5570765830320110.278538291516006
450.6784120639470690.6431758721058630.321587936052932
460.6355556006072520.7288887987854960.364444399392748
470.6249688988960860.7500622022078290.375031101103915
480.5802805755462970.8394388489074060.419719424453703
490.728705096951160.542589806097680.27129490304884
500.6909310739384460.6181378521231090.309068926061554
510.6526378187836120.6947243624327770.347362181216388
520.6336843156119740.7326313687760520.366315684388026
530.6627636023263440.6744727953473120.337236397673656
540.6390165130861140.7219669738277710.360983486913886
550.6306894007501670.7386211984996650.369310599249833
560.6935686715139580.6128626569720830.306431328486042
570.6932947080627030.6134105838745940.306705291937297
580.7007112685414080.5985774629171850.299288731458592
590.6930215173653680.6139569652692650.306978482634632
600.6885833847787460.6228332304425070.311416615221254
610.7151538656948360.5696922686103270.284846134305164
620.6784149759594460.6431700480811080.321585024040554
630.6460596479379940.7078807041240120.353940352062006
640.6077031806930090.7845936386139820.392296819306991
650.5684323360636210.8631353278727590.431567663936379
660.5591292398009060.8817415203981890.440870760199094
670.5860901810728350.8278196378543310.413909818927165
680.5604422756998880.8791154486002230.439557724300112
690.519865642901150.96026871419770.48013435709885
700.4925933887262590.9851867774525180.507406611273741
710.4566325714547640.9132651429095290.543367428545236
720.4258853252922570.8517706505845150.574114674707743
730.3943773161684680.7887546323369360.605622683831532
740.3777247534150550.7554495068301090.622275246584945
750.3518340804892530.7036681609785070.648165919510747
760.4906841035398270.9813682070796530.509315896460173
770.4604320046792670.9208640093585350.539567995320733
780.4532725993795760.9065451987591520.546727400620424
790.4145670593673280.8291341187346550.585432940632672
800.5501518506857480.8996962986285030.449848149314252
810.5161383246640210.9677233506719580.483861675335979
820.5499945995717530.9000108008564930.450005400428247
830.5118856737304810.9762286525390380.488114326269519
840.475164217724150.95032843544830.52483578227585
850.4367892287396690.8735784574793390.563210771260331
860.4012987303294830.8025974606589670.598701269670517
870.3718318302178150.743663660435630.628168169782185
880.3384943998294580.6769887996589160.661505600170542
890.4145000810792130.8290001621584260.585499918920787
900.3812741276962320.7625482553924640.618725872303768
910.3513315096161740.7026630192323490.648668490383826
920.3200524050393520.6401048100787040.679947594960648
930.3131016344562050.626203268912410.686898365543795
940.2855765134375730.5711530268751450.714423486562427
950.2538332218040650.5076664436081290.746166778195935
960.2359021141705990.4718042283411990.764097885829401
970.2174696292667990.4349392585335980.782530370733201
980.1916803821026660.3833607642053310.808319617897334
990.1876509187699490.3753018375398980.812349081230051
1000.1639318240923060.3278636481846130.836068175907694
1010.1529214296018990.3058428592037970.847078570398101
1020.1366213016707710.2732426033415420.863378698329229
1030.1831108699573070.3662217399146130.816889130042693
1040.211387726975250.4227754539505010.78861227302475
1050.2151729200452470.4303458400904930.784827079954753
1060.1896970123595390.3793940247190770.810302987640461
1070.2096825720103210.4193651440206420.790317427989679
1080.1975736589593280.3951473179186550.802426341040672
1090.2989132379327490.5978264758654980.701086762067251
1100.2870984478070420.5741968956140840.712901552192958
1110.257537282952170.515074565904340.74246271704783
1120.2487657420297130.4975314840594260.751234257970287
1130.2260131301653770.4520262603307550.773986869834623
1140.2059305614547610.4118611229095210.794069438545239
1150.1823220577014040.3646441154028080.817677942298596
1160.1598093538179920.3196187076359840.840190646182008
1170.1434351993678180.2868703987356360.856564800632182
1180.1827671868175060.3655343736350120.817232813182494
1190.1882216896204960.3764433792409920.811778310379504
1200.1672366505881050.334473301176210.832763349411895
1210.1522475587563860.3044951175127710.847752441243614
1220.1336430812047710.2672861624095410.866356918795229
1230.1598537968730470.3197075937460940.840146203126953
1240.1432651194013670.2865302388027350.856734880598633
1250.1339704798410780.2679409596821560.866029520158922
1260.1238177616601380.2476355233202770.876182238339862
1270.1070513839442430.2141027678884870.892948616055757
1280.09462368223434320.1892473644686860.905376317765657
1290.08069516664179760.1613903332835950.919304833358202
1300.07973959966606850.1594791993321370.920260400333932
1310.08118296437088440.1623659287417690.918817035629116
1320.07402150273678930.1480430054735790.925978497263211
1330.06721223376240470.1344244675248090.932787766237595
1340.0564516443629180.1129032887258360.943548355637082
1350.05845026367498990.116900527349980.94154973632501
1360.1174040559532440.2348081119064880.882595944046756
1370.1011380492287140.2022760984574280.898861950771286
1380.08919954215158110.1783990843031620.910800457848419
1390.08664627608957490.173292552179150.913353723910425
1400.08268638537830310.1653727707566060.917313614621697
1410.09617490727843460.1923498145568690.903825092721565
1420.09768728854383220.1953745770876640.902312711456168
1430.0833376908584550.166675381716910.916662309141545
1440.07026089273534990.14052178547070.92973910726465
1450.05905611316958980.118112226339180.94094388683041
1460.04974759265923450.09949518531846890.950252407340766
1470.05654719904614190.1130943980922840.943452800953858
1480.06344910518650910.1268982103730180.936550894813491
1490.05948227157201680.1189645431440340.940517728427983
1500.04963706736564430.09927413473128860.950362932634356
1510.06182788728884850.1236557745776970.938172112711151
1520.05963320158890510.119266403177810.940366798411095
1530.06119247383557720.1223849476711540.938807526164423
1540.06315940559794610.1263188111958920.936840594402054
1550.06722613915679650.1344522783135930.932773860843203
1560.05730270961677160.1146054192335430.942697290383228
1570.047995114744410.09599022948881990.95200488525559
1580.04038548436460150.08077096872920290.959614515635399
1590.05571964482543560.1114392896508710.944280355174564
1600.06135768247925660.1227153649585130.938642317520743
1610.05191237615874460.1038247523174890.948087623841255
1620.09075411803341060.1815082360668210.909245881966589
1630.08056482487498390.1611296497499680.919435175125016
1640.2762660024781850.5525320049563710.723733997521815
1650.2511354199203480.5022708398406970.748864580079652
1660.3161771949648210.6323543899296420.683822805035179
1670.3000941025520450.600188205104090.699905897447955
1680.2830550389188260.5661100778376520.716944961081174
1690.2556933183736490.5113866367472980.744306681626351
1700.233243904920830.466487809841660.76675609507917
1710.2312871075389370.4625742150778740.768712892461063
1720.2051467931530420.4102935863060850.794853206846958
1730.2574589884973640.5149179769947280.742541011502636
1740.2481494862418940.4962989724837880.751850513758106
1750.2325858820755320.4651717641510650.767414117924468
1760.27432715645740.54865431291480.7256728435426
1770.2559477422301730.5118954844603460.744052257769827
1780.265406116646680.530812233293360.73459388335332
1790.2606403033722950.5212806067445910.739359696627705
1800.2343946851703820.4687893703407640.765605314829618
1810.2648841996667780.5297683993335560.735115800333222
1820.3821749533740760.7643499067481520.617825046625924
1830.3737234575014720.7474469150029430.626276542498528
1840.372138824230570.744277648461140.62786117576943
1850.3533623859455230.7067247718910460.646637614054477
1860.4625452168603960.9250904337207920.537454783139604
1870.4270478657871220.8540957315742450.572952134212878
1880.3940225121261850.788045024252370.605977487873815
1890.3619251827887660.7238503655775310.638074817211234
1900.3917894599599530.7835789199199060.608210540040047
1910.4203557652315540.8407115304631080.579644234768446
1920.4412953718217860.8825907436435710.558704628178214
1930.428999013863250.8579980277264990.57100098613675
1940.3985715517236310.7971431034472620.601428448276369
1950.3705577545948640.7411155091897280.629442245405136
1960.4084231787708920.8168463575417850.591576821229107
1970.6128637640345880.7742724719308240.387136235965412
1980.6221810132869870.7556379734260260.377818986713013
1990.5815842189622220.8368315620755550.418415781037778
2000.5401812670053910.9196374659892170.459818732994609
2010.4969726745486310.9939453490972620.503027325451369
2020.4572695327449210.9145390654898420.542730467255079
2030.4379545892862170.8759091785724330.562045410713783
2040.4263652915129630.8527305830259270.573634708487037
2050.3900044000106340.7800088000212690.609995599989366
2060.3493682516412130.6987365032824260.650631748358787
2070.3110524941023220.6221049882046450.688947505897678
2080.2778757561842040.5557515123684070.722124243815796
2090.2414524612767850.482904922553570.758547538723215
2100.2379119134839840.4758238269679670.762088086516016
2110.2121977552423110.4243955104846230.787802244757689
2120.1825328692431440.3650657384862890.817467130756856
2130.2097589246386530.4195178492773050.790241075361347
2140.1919234092048940.3838468184097880.808076590795106
2150.1645848145397180.3291696290794370.835415185460282
2160.1403568454852850.2807136909705690.859643154514716
2170.1371030012656390.2742060025312780.862896998734361
2180.1154885637060440.2309771274120880.884511436293956
2190.1281994241460030.2563988482920060.871800575853997
2200.1346022282464610.2692044564929220.865397771753539
2210.1226668164620180.2453336329240360.877333183537982
2220.09847097450906630.1969419490181330.901529025490934
2230.08483527110821890.1696705422164380.915164728891781
2240.07822410450277860.1564482090055570.921775895497221
2250.07234865991925490.144697319838510.927651340080745
2260.06031428229936420.1206285645987280.939685717700636
2270.04583345501728660.09166691003457330.954166544982713
2280.03782686807600120.07565373615200230.962173131923999
2290.06740714723093680.1348142944618740.932592852769063
2300.05550374026639450.1110074805327890.944496259733606
2310.04269888428875350.0853977685775070.957301115711247
2320.03612996489916240.07225992979832470.963870035100838
2330.06892597770863830.1378519554172770.931074022291362
2340.07476553724157160.1495310744831430.925234462758428
2350.06785871829352360.1357174365870470.932141281706476
2360.05018721702003360.1003744340400670.949812782979966
2370.0700741302962540.1401482605925080.929925869703746
2380.09432158037218870.1886431607443770.905678419627811
2390.1839284406533370.3678568813066730.816071559346663
2400.2258925029627190.4517850059254380.774107497037281
2410.2091851402441590.4183702804883190.790814859755841
2420.6362875581275450.727424883744910.363712441872455
2430.5519327105131580.8961345789736840.448067289486842
2440.5430922052060860.9138155895878270.456907794793914
2450.4755878712592670.9511757425185340.524412128740733
2460.3892029176327470.7784058352654940.610797082367253
2470.3750713318959660.7501426637919320.624928668104034
2480.3233026195374630.6466052390749270.676697380462536
2490.3278702098577170.6557404197154340.672129790142283
2500.2791810442426320.5583620884852640.720818955757368
2510.1728512214213650.3457024428427290.827148778578635






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level50.0209205020920502OK
10% type I error level170.0711297071129707OK

\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 & 0 & 0 & OK \tabularnewline
5% type I error level & 5 & 0.0209205020920502 & OK \tabularnewline
10% type I error level & 17 & 0.0711297071129707 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=225732&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]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]5[/C][C]0.0209205020920502[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]17[/C][C]0.0711297071129707[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=225732&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=225732&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 level00OK
5% type I error level50.0209205020920502OK
10% type I error level170.0711297071129707OK


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 = 7 ; par2 = Do not include Seasonal Dummies ; par3 = Linear Trend ;
Parameters (R input):
par1 = 7 ; par2 = Do not include Seasonal Dummies ; par3 = 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')
}