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 computationTue, 11 Nov 2014 17:10:45 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Nov/11/t14157258968jwm9zx73yenqn2.htm/, Retrieved Sun, 19 May 2024 17:59:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=253697, Retrieved Sun, 19 May 2024 17:59:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact139

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [Competence to learn] [2010-11-17 07:43:53] [b98453cac15ba1066b407e146608df68]
- RMP     [Multiple Regression] [multiple linear r...] [2014-11-11 17:10:45] [6c0da333d5967ad7c023c95d07a1face] [Current]
-   P       [Multiple Regression] [linear regression] [2014-11-12 17:33:56] [3d5212c89039da1a3a24d8e18d23c716]
- R  D        [Multiple Regression] [linear regression] [2014-11-12 17:44:53] [3d5212c89039da1a3a24d8e18d23c716]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
41	38	13	12	14	12	53	32
39	32	16	11	18	11	83	51
30	35	19	15	11	14	66	42
31	33	15	6	12	12	67	41
34	37	14	13	16	21	76	46
35	29	13	10	18	12	78	47
39	31	19	12	14	22	53	37
34	36	15	14	14	11	80	49
36	35	14	12	15	10	74	45
37	38	15	9	15	13	76	47
38	31	16	10	17	10	79	49
36	34	16	12	19	8	54	33
38	35	16	12	10	15	67	42
39	38	16	11	16	14	54	33
33	37	17	15	18	10	87	53
32	33	15	12	14	14	58	36
36	32	15	10	14	14	75	45
38	38	20	12	17	11	88	54
39	38	18	11	14	10	64	41
32	32	16	12	16	13	57	36
32	33	16	11	18	9.5	66	41
31	31	16	12	11	14	68	44
39	38	19	13	14	12	54	33
37	39	16	11	12	14	56	37
39	32	17	12	17	11	86	52
41	32	17	13	9	9	80	47
36	35	16	10	16	11	76	43
33	37	15	14	14	15	69	44
33	33	16	12	15	14	78	45
34	33	14	10	11	13	67	44
31	31	15	12	16	9	80	49
27	32	12	8	13	15	54	33
37	31	14	10	17	10	71	43
34	37	16	12	15	11	84	54
34	30	14	12	14	13	74	42
32	33	10	7	16	8	71	44
29	31	10	9	9	20	63	37
36	33	14	12	15	12	71	43
29	31	16	10	17	10	76	46
35	33	16	10	13	10	69	42
37	32	16	10	15	9	74	45
34	33	14	12	16	14	75	44
38	32	20	15	16	8	54	33
35	33	14	10	12	14	52	31
38	28	14	10	15	11	69	42
37	35	11	12	11	13	68	40
38	39	14	13	15	9	65	43
33	34	15	11	15	11	75	46
36	38	16	11	17	15	74	42
38	32	14	12	13	11	75	45
32	38	16	14	16	10	72	44
32	30	14	10	14	14	67	40
32	33	12	12	11	18	63	37
34	38	16	13	12	14	62	46
32	32	9	5	12	11	63	36
37	35	14	6	15	14.5	76	47
39	34	16	12	16	13	74	45
29	34	16	12	15	9	67	42
37	36	15	11	12	10	73	43
35	34	16	10	12	15	70	43
30	28	12	7	8	20	53	32
38	34	16	12	13	12	77	45
34	35	16	14	11	12	80	48
31	35	14	11	14	14	52	31
34	31	16	12	15	13	54	33
35	37	17	13	10	11	80	49
36	35	18	14	11	17	66	42
30	27	18	11	12	12	73	41
39	40	12	12	15	13	63	38
35	37	16	12	15	14	69	42
38	36	10	8	14	13	67	44
31	38	14	11	16	15	54	33
34	39	18	14	15	13	81	48
38	41	18	14	15	10	69	40
34	27	16	12	13	11	84	50
39	30	17	9	12	19	80	49
37	37	16	13	17	13	70	43
34	31	16	11	13	17	69	44
28	31	13	12	15	13	77	47
37	27	16	12	13	9	54	33
33	36	16	12	15	11	79	46
35	37	16	12	15	9	71	45
37	33	15	12	16	12	73	43
32	34	15	11	15	12	72	44
33	31	16	10	14	13	77	47
38	39	14	9	15	13	75	45
33	34	16	12	14	12	69	42
29	32	16	12	13	15	54	33
33	33	15	12	7	22	70	43
31	36	12	9	17	13	73	46
36	32	17	15	13	15	54	33
35	41	16	12	15	13	77	46
32	28	15	12	14	15	82	48
29	30	13	12	13	12.5	80	47
39	36	16	10	16	11	80	47
37	35	16	13	12	16	69	43
35	31	16	9	14	11	78	46
37	34	16	12	17	11	81	48
32	36	14	10	15	10	76	46
38	36	16	14	17	10	76	45
37	35	16	11	12	16	73	45
36	37	20	15	16	12	85	52
32	28	15	11	11	11	66	42
33	39	16	11	15	16	79	47
40	32	13	12	9	19	68	41
38	35	17	12	16	11	76	47
41	39	16	12	15	16	71	43
36	35	16	11	10	15	54	33
43	42	12	7	10	24	46	30
30	34	16	12	15	14	85	52
31	33	16	14	11	15	74	44
32	41	17	11	13	11	88	55
32	33	13	11	14	15	38	11
37	34	12	10	18	12	76	47
37	32	18	13	16	10	86	53
33	40	14	13	14	14	54	33
34	40	14	8	14	13	67	44
33	35	13	11	14	9	69	42
38	36	16	12	14	15	90	55
33	37	13	11	12	15	54	33
31	27	16	13	14	14	76	46
38	39	13	12	15	11	89	54
37	38	16	14	15	8	76	47
36	31	15	13	15	11	73	45
31	33	16	15	13	11	79	47
39	32	15	10	17	8	90	55
44	39	17	11	17	10	74	44
33	36	15	9	19	11	81	53
35	33	12	11	15	13	72	44
32	33	16	10	13	11	71	42
28	32	10	11	9	20	66	40
40	37	16	8	15	10	77	46
27	30	12	11	15	15	65	40
37	38	14	12	15	12	74	46
32	29	15	12	16	14	85	53
28	22	13	9	11	23	54	33
34	35	15	11	14	14	63	42
30	35	11	10	11	16	54	35
35	34	12	8	15	11	64	40
31	35	11	9	13	12	69	41
32	34	16	8	15	10	54	33
30	37	15	9	16	14	84	51
30	35	17	15	14	12	86	53
31	23	16	11	15	12	77	46
40	31	10	8	16	11	89	55
32	27	18	13	16	12	76	47
36	36	13	12	11	13	60	38
32	31	16	12	12	11	75	46
35	32	13	9	9	19	73	46
38	39	10	7	16	12	85	53
42	37	15	13	13	17	79	47
34	38	16	9	16	9	71	41
35	39	16	6	12	12	72	44
38	34	14	8	9	19	69	43
33	31	10	8	13	18	78	51
36	32	17	15	13	15	54	33
32	37	13	6	14	14	69	43
33	36	15	9	19	11	81	53
34	32	16	11	13	9	84	51
32	38	12	8	12	18	84	50
34	36	13	8	13	16	69	46
27	26	13	10	10	24	66	43
31	26	12	8	14	14	81	47
38	33	17	14	16	20	82	50
34	39	15	10	10	18	72	43
24	30	10	8	11	23	54	33
30	33	14	11	14	12	78	48
26	25	11	12	12	14	74	44
34	38	13	12	9	16	82	50
27	37	16	12	9	18	73	41
37	31	12	5	11	20	55	34
36	37	16	12	16	12	72	44
41	35	12	10	9	12	78	47
29	25	9	7	13	17	59	35
36	28	12	12	16	13	72	44
32	35	15	11	13	9	78	44
37	33	12	8	9	16	68	43
30	30	12	9	12	18	69	41
31	31	14	10	16	10	67	41
38	37	12	9	11	14	74	42
36	36	16	12	14	11	54	33
35	30	11	6	13	9	67	41
31	36	19	15	15	11	70	44
38	32	15	12	14	10	80	48
22	28	8	12	16	11	89	55
32	36	16	12	13	19	76	44
36	34	17	11	14	14	74	43
39	31	12	7	15	12	87	52
28	28	11	7	13	14	54	30
32	36	11	5	11	21	61	39
32	36	14	12	11	13	38	11
38	40	16	12	14	10	75	44
32	33	12	3	15	15	69	42
35	37	16	11	11	16	62	41
32	32	13	10	15	14	72	44
37	38	15	12	12	12	70	44
34	31	16	9	14	19	79	48
33	37	16	12	14	15	87	53
33	33	14	9	8	19	62	37
26	32	16	12	13	13	77	44
30	30	16	12	9	17	69	44
24	30	14	10	15	12	69	40
34	31	11	9	17	11	75	42
34	32	12	12	13	14	54	35
33	34	15	8	15	11	72	43
34	36	15	11	15	13	74	45
35	37	16	11	14	12	85	55
35	36	16	12	16	15	52	31
36	33	11	10	13	14	70	44
34	33	15	10	16	12	84	50
34	33	12	12	9	17	64	40
41	44	12	12	16	11	84	53
32	39	15	11	11	18	87	54
30	32	15	8	10	13	79	49
35	35	16	12	11	17	67	40
28	25	14	10	15	13	65	41
33	35	17	11	17	11	85	52
39	34	14	10	14	12	83	52
36	35	13	8	8	22	61	36
36	39	15	12	15	14	82	52
35	33	13	12	11	12	76	46
38	36	14	10	16	12	58	31
33	32	15	12	10	17	72	44
31	32	12	9	15	9	72	44
34	36	13	9	9	21	38	11
32	36	8	6	16	10	78	46
31	32	14	10	19	11	54	33
33	34	14	9	12	12	63	34
34	33	11	9	8	23	66	42
34	35	12	9	11	13	70	43
34	30	13	6	14	12	71	43
33	38	10	10	9	16	67	44
32	34	16	6	15	9	58	36
41	33	18	14	13	17	72	46
34	32	13	10	16	9	72	44
36	31	11	10	11	14	70	43
37	30	4	6	12	17	76	50
36	27	13	12	13	13	50	33
29	31	16	12	10	11	72	43
37	30	10	7	11	12	72	44
27	32	12	8	12	10	88	53
35	35	12	11	8	19	53	34
28	28	10	3	12	16	58	35
35	33	13	6	12	16	66	40
37	31	15	10	15	14	82	53
29	35	12	8	11	20	69	42
32	35	14	9	13	15	68	43
36	32	10	9	14	23	44	29
19	21	12	8	10	20	56	36
21	20	12	9	12	16	53	30
31	34	11	7	15	14	70	42
33	32	10	7	13	17	78	47
36	34	12	6	13	11	71	44
33	32	16	9	13	13	72	45
37	33	12	10	12	17	68	44
34	33	14	11	12	15	67	43
35	37	16	12	9	21	75	43
31	32	14	8	9	18	62	40
37	34	13	11	15	15	67	41
35	30	4	3	10	8	83	52
27	30	15	11	14	12	64	38
34	38	11	12	15	12	68	41
40	36	11	7	7	22	62	39
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 time9 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253697&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]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253697&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253697&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 time9 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Happiness[t] = + 14.7690790620001 + 0.0127928562711121Connected[t] + 0.0101040607127456Separate[t] + 0.113393953854537Learning[t] -0.00716003363091956Software[t] -0.378112751458582Depression[t] + 0.00658166336529904Belonging[t] + 0.0257972235737169Belonging_Final[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Happiness[t] =  +  14.7690790620001 +  0.0127928562711121Connected[t] +  0.0101040607127456Separate[t] +  0.113393953854537Learning[t] -0.00716003363091956Software[t] -0.378112751458582Depression[t] +  0.00658166336529904Belonging[t] +  0.0257972235737169Belonging_Final[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253697&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Happiness[t] =  +  14.7690790620001 +  0.0127928562711121Connected[t] +  0.0101040607127456Separate[t] +  0.113393953854537Learning[t] -0.00716003363091956Software[t] -0.378112751458582Depression[t] +  0.00658166336529904Belonging[t] +  0.0257972235737169Belonging_Final[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253697&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253697&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
Happiness[t] = + 14.7690790620001 + 0.0127928562711121Connected[t] + 0.0101040607127456Separate[t] + 0.113393953854537Learning[t] -0.00716003363091956Software[t] -0.378112751458582Depression[t] + 0.00658166336529904Belonging[t] + 0.0257972235737169Belonging_Final[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)14.76907906200011.8547017.963100
Connected0.01279285627111210.0374240.34180.7327540.366377
Separate0.01010406071274560.0383220.26370.7922510.396125
Learning0.1133939538545370.0666391.70160.090040.04502
Software-0.007160033630919560.068898-0.10390.9173120.458656
Depression-0.3781127514585820.039124-9.664500
Belonging0.006581663365299040.0405880.16220.871310.435655
Belonging_Final0.02579722357371690.0605140.42630.6702440.335122

\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) & 14.7690790620001 & 1.854701 & 7.9631 & 0 & 0 \tabularnewline
Connected & 0.0127928562711121 & 0.037424 & 0.3418 & 0.732754 & 0.366377 \tabularnewline
Separate & 0.0101040607127456 & 0.038322 & 0.2637 & 0.792251 & 0.396125 \tabularnewline
Learning & 0.113393953854537 & 0.066639 & 1.7016 & 0.09004 & 0.04502 \tabularnewline
Software & -0.00716003363091956 & 0.068898 & -0.1039 & 0.917312 & 0.458656 \tabularnewline
Depression & -0.378112751458582 & 0.039124 & -9.6645 & 0 & 0 \tabularnewline
Belonging & 0.00658166336529904 & 0.040588 & 0.1622 & 0.87131 & 0.435655 \tabularnewline
Belonging_Final & 0.0257972235737169 & 0.060514 & 0.4263 & 0.670244 & 0.335122 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253697&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]14.7690790620001[/C][C]1.854701[/C][C]7.9631[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Connected[/C][C]0.0127928562711121[/C][C]0.037424[/C][C]0.3418[/C][C]0.732754[/C][C]0.366377[/C][/ROW]
[ROW][C]Separate[/C][C]0.0101040607127456[/C][C]0.038322[/C][C]0.2637[/C][C]0.792251[/C][C]0.396125[/C][/ROW]
[ROW][C]Learning[/C][C]0.113393953854537[/C][C]0.066639[/C][C]1.7016[/C][C]0.09004[/C][C]0.04502[/C][/ROW]
[ROW][C]Software[/C][C]-0.00716003363091956[/C][C]0.068898[/C][C]-0.1039[/C][C]0.917312[/C][C]0.458656[/C][/ROW]
[ROW][C]Depression[/C][C]-0.378112751458582[/C][C]0.039124[/C][C]-9.6645[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Belonging[/C][C]0.00658166336529904[/C][C]0.040588[/C][C]0.1622[/C][C]0.87131[/C][C]0.435655[/C][/ROW]
[ROW][C]Belonging_Final[/C][C]0.0257972235737169[/C][C]0.060514[/C][C]0.4263[/C][C]0.670244[/C][C]0.335122[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253697&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253697&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)14.76907906200011.8547017.963100
Connected0.01279285627111210.0374240.34180.7327540.366377
Separate0.01010406071274560.0383220.26370.7922510.396125
Learning0.1133939538545370.0666391.70160.090040.04502
Software-0.007160033630919560.068898-0.10390.9173120.458656
Depression-0.3781127514585820.039124-9.664500
Belonging0.006581663365299040.0405880.16220.871310.435655
Belonging_Final0.02579722357371690.0605140.42630.6702440.335122






Multiple Linear Regression - Regression Statistics
Multiple R0.602874977445502
R-squared0.363458238429914
Adjusted R-squared0.346052799636982
F-TEST (value)20.8818773691305
F-TEST (DF numerator)7
F-TEST (DF denominator)256
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.02057760945311
Sum Squared Residuals1045.17987221076

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.602874977445502 \tabularnewline
R-squared & 0.363458238429914 \tabularnewline
Adjusted R-squared & 0.346052799636982 \tabularnewline
F-TEST (value) & 20.8818773691305 \tabularnewline
F-TEST (DF numerator) & 7 \tabularnewline
F-TEST (DF denominator) & 256 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.02057760945311 \tabularnewline
Sum Squared Residuals & 1045.17987221076 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253697&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.602874977445502[/C][/ROW]
[ROW][C]R-squared[/C][C]0.363458238429914[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.346052799636982[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]20.8818773691305[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]7[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]256[/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]2.02057760945311[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1045.17987221076[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253697&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253697&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 R0.602874977445502
R-squared0.363458238429914
Adjusted R-squared0.346052799636982
F-TEST (value)20.8818773691305
F-TEST (DF numerator)7
F-TEST (DF denominator)256
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.02057760945311
Sum Squared Residuals1045.17987221076






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11413.70272776795380.297272232046221
21815.02956948664882.97043051335122
31113.7778861456376-2.77788614563763
41214.1183453104521-2.11834531045213
51610.81883225787455.18116774212549
61814.10085408891343.89914591108657
71410.63463595683333.36536404316671
81414.7998079561536-0.799807956153551
91514.95164959836230.048350401637748
101514.06004821102120.939951788978816
111715.31402425414581.68597574585423
121915.48335899808523.51664100191484
131013.1899961470424-3.1899961470424
141613.30063733462892.69936266537109
151815.54412032398392.45587967601612
161413.14373137386430.856268626135717
171413.54318209487140.456817905128637
181715.6341167639891.365883236011
191415.312070670415-1.31207067041504
201613.61855235509942.38144764490064
211815.14743216770432.85256783229566
221113.4963187722649-2.49631877226494
231414.3827246318478-0.382724631847845
241213.4015079038249-1.40150790382489
251715.1813456205421.81865437945801
26915.7875207043101-6.78752070431008
271614.77621370145771.22378629854225
281413.0832837398740.916716260126018
291513.63372646345941.36627353654063
301113.7139687101498-2.71396871014982
311615.48145465395550.51854534604451
321312.27629022911510.723709770884888
331714.86700684180092.13299315819911
341515.0929388093125-0.0929388093124543
351413.66381365715940.336186342840597
361615.17317769383630.826822306163691
37910.3296840468942-1.32968404689425
381514.10387653677630.896123463223734
391715.10175188688871.89824811311129
401315.0494566080889-2.04945660808892
411515.5533509989246-0.553350998924624
421613.37418919835182.62581080164821
431615.92083230372730.0791676962727144
441212.9145599580245-0.914559958024543
451514.43241421417090.567585785829131
461113.3214462406336-2.32144624063363
471515.277774854148-0.277774854147996
481514.67798709180210.32201290819794
491713.24795429382643.75204570617358
501314.575392040673-1.57539204067296
511615.1042976455590.89570235444104
521413.17676916971590.823230830284092
531111.3498040468666-0.349804046866555
541213.6103701993922-1.61037019939222
551213.670630396643-1.67063039664299
561513.37065304873331.6293469512667
571614.07237375979621.92762624020383
581515.3334328886411-0.333432888641132
591215.0369243923188-3.03692439231883
601213.2013757984478-1.20137579844777
61810.3584699444765-2.35846994447646
621314.4574386450795-1.45743864507954
631114.499187874263-3.49918787426304
641412.87643662073471.12356337926533
651513.53689734611181.46310265388821
661015.0566528144774-5.0566528144774
671112.6140711086649-1.61407110866495
681214.3887997635054-2.38879976350535
691513.42644344662021.57355655337981
701513.56310177784371.43689822215627
711413.35619656921620.643803430783806
721612.59339382529243.40660617470765
731514.39486093672980.605139063270182
741515.3152209886422-0.315220988642181
751314.8887093078901-1.88870930789013
761212.0408339374277-0.0408339374276572
771713.99201909515263.00798090484737
781312.41410078369880.585899216301247
791513.63249773435541.36750226564458
801315.0473106779085-2.04731067790847
811514.83075578691240.169244213087634
821515.5442205325884-0.54422053258839
831614.24322667363251.75677332636749
841514.2157420468290.784257953170966
851414.0509639445364-0.0509639445364315
861513.91137506363781.08862493636223
871414.2634293860804-0.263429386080434
881312.72681162255180.273188377448191
89710.3911827438663-3.39118274386635
901713.57735887673583.42264112326421
911312.90827546941140.0917245305886256
921514.13747297337060.862527026629444
931413.18262492249380.817375077506246
941313.843987895739-0.843987895738973
951614.95421187873991.04578812126011
961212.8308910559861-0.830891055986099
971414.8207196334183-0.820719633418322
981714.92647686444942.07352313555064
991514.96386285155670.0361371484432978
1001715.21297053879511.78702946120494
1011212.9231322238566-0.923132223856568
1021615.12749470113940.872505298860647
1031114.4421460066719-3.44214600667191
1041513.00346146896231.99653853103767
105911.31342124984-2.31342124984003
1061615.00406219488750.995937805112461
1071512.9428020842832.05719791571695
1081012.8538338322188-2.85383383221875
109109.056116829440510.943883170559495
1101513.83210416393191.16789583606811
1111113.1635840551618-2.16358405516181
1121315.2804472041416-2.28044720414158
1131411.76942689167862.23057310832136
1141814.05040282443433.94959717556575
1151615.66590380325570.334096196744318
1161413.00298034345680.99701965654319
1171413.79901720240090.200982797599124
1181415.0748498732362-1.07484987323623
1191413.68684237161530.313157628384658
1201212.4954815232673-0.495481523267293
1211413.55299024985290.447009750147132
1221514.85704481108530.142955188914722
1231516.028205754014-1.02820575401403
1241514.6327728609110.367227139088993
1251314.7791750149129-1.77917501491286
1261716.20693435865280.793065641347153
1271715.41595336300291.58404663699705
1281914.93258582569724.0674141743028
1291513.52572194190741.47427805809257
1301314.6461286145476-1.6461286145476
131910.4098118448911-1.40981184489109
1321515.3239994007746-0.32399940077456
1331512.48758086883122.51241913116883
1341514.26432635742820.735673642571846
1351613.71957284262962.28042715737044
136119.269374386813731.73062561318627
1371413.38437689973170.615623100268285
1381111.8907486546392-0.890748654639161
1391514.15768940521280.84231059478716
1401313.6766608422973-0.676660842297309
1411514.70460220460720.295397795392775
1421613.73812360616932.26187639383067
1431414.7227264674626-0.722726467462591
1441514.28970124054620.710298759453813
1451614.51605353445931.48394646554068
1461614.57459374032391.42540625967606
1471113.4412975987145-2.44129759871451
1481214.7411159736163-2.74111597361633
149911.4328315040723-2.4328315040723
1501614.12242648918281.87757351081723
1511312.59256228140190.407437718598108
1521615.45982294362790.540177056372086
1531214.4538350412152-2.45383504121523
154911.5082538576142-2.50825385761424
1551311.60412708903831.3958729109617
1561312.90827546941140.0917245305886256
1571413.2532987728260.746701227173984
1581914.93258582569724.0674141743028
1591315.7284123715757-2.72841237157566
1601211.90254332208360.0974566779164383
1611312.57562652519760.424373474802357
162109.248677184424860.751322815575142
1631413.18381608227680.816183917723217
1641611.68340089398594.31659910601408
1651012.0045343642407-2.0045343642407
166118.966013619498552.03398638050145
1671414.2093371942062-0.209337194206189
1681212.844250337552-0.844250337552015
169912.7559450301432-3.75594503014321
170911.948837351728-2.94883735172798
1711110.55740996165240.442590038347644
1721614.40345957427531.59654042572466
173914.124841636962-5.12484163696205
1741311.22640294979221.77359705020781
1751613.48083446098392.5191655390161
1761315.3996743421093-2.39967434210932
177912.3863256239318-3.38632562393176
1781211.45806512756550.541934872434485
1791614.71232860356561.28767139643441
1801113.2022929489582-2.20229294895817
1811414.3692288651349-0.369228865134906
1821314.8199669923559-1.81996699235594
1831515.0130424176059-0.0130424176058683
1841415.1771987335337-1.17719873353372
1851614.00004189720831.99995810279169
1861311.72172148172931.27827851827073
1871413.72484197986230.275158020137723
1881514.26854087061790.731459129382128
1891312.44315400304910.556845996950944
1901110.22093537660780.779064623392219
1911112.6621984969577-1.66219849695766
1921415.2353279619689-1.23532796196886
1931512.7170587019812.28294129801904
1941112.7421674414267-1.74216744142668
1951513.21968054840821.78031945159178
1961214.2997992106741-2.29979921067406
1971411.84120087599132.15879912400871
1981413.56164271372920.438357286270806
199811.2261704969156-3.22617049691562
2001313.8798062733684-0.8798062733684
201912.3456652642706-3.34566526427064
2021513.84381514919481.15618485080523
2031714.11802312348382.88197687651624
2041312.76690728709520.233092712904763
2051514.60233053187780.397669468122229
2061513.92238367964251.07761632035752
2071414.7671578346949-0.76715783469492
2081612.77922722915143.22077277084857
2091313.0410047997657-0.0410047997657467
2101614.47214703411531.52785296588468
211911.8374758449538-2.83747584495381
2121614.77384418920761.22615581079241
2131112.3542830278579-1.35428302785793
2141013.9883733237212-3.98837332372117
2151112.3437976281645-1.34379762816446
2161513.46582408936941.53417591063057
2171715.13547903531921.86452096468083
2181414.4778342061112-0.477834206111229
219810.0118061256161-2.01180612561607
2201513.82624266117191.17375733882814
2211114.0879897141983-3.08798971419826
2221613.77896619208512.22103380791492
2231012.3106029907508-2.31060299075083
2241514.99121752920640.00878247079359597
22599.57096834486945-0.57096834486945
2261614.32530258968381.67469741031625
2271914.05238050048114.94761949951887
2281213.8122538104826-1.81225381048259
22989.54164325711857-1.54164325711857
2301113.5084967240193-2.50849672401933
2311413.97754489002680.022455109973216
232912.1637820876485-3.16378208764854
2331515.20075334751-0.200753347509993
2341312.80050614308170.199493856918321
2351615.13583001824340.864169981756642
2361112.9949994547665-1.99499945476654
2371211.31830299869890.681697001301111
2381313.1555583007782-0.155558300778223
2391014.6056007439859-4.60560074398594
2401113.7009604505846-2.70096045058461
2411214.9065750123025-2.90657501230253
242810.8942297149036-2.89422971490358
2431211.75748745213080.242512547869187
2441212.3978989350542-0.397898935054159
2451513.79832032257661.20167967742344
2461110.77252432914560.227475670854398
2471312.94031008953840.0596899104615773
248148.963570454598625.03642954540138
2491010.2627939512649-0.26279395126485
2501211.60903824375950.390961756240461
2511512.95703023286832.04296976713175
2521311.89631504054571.10368495945432
2531314.3340628665978-1.33406286659775
2541313.9837252749062-0.983725274906167
2551212.0196900287851-0.0196900287850523
2561212.924785950028-0.924785950028018
257910.9815997213992-1.98159972139917
258911.6531451794713-2.6531451794713
2591512.80828017855212.19171982144787
2601014.8148782408812-4.81487824088119
2611413.90392487425780.0960751257422043
2621513.71728982899081.28271017100917
26379.93742707142156-2.93742707142156
2641414.0322842464238-0.0322842464237909

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 14 & 13.7027277679538 & 0.297272232046221 \tabularnewline
2 & 18 & 15.0295694866488 & 2.97043051335122 \tabularnewline
3 & 11 & 13.7778861456376 & -2.77788614563763 \tabularnewline
4 & 12 & 14.1183453104521 & -2.11834531045213 \tabularnewline
5 & 16 & 10.8188322578745 & 5.18116774212549 \tabularnewline
6 & 18 & 14.1008540889134 & 3.89914591108657 \tabularnewline
7 & 14 & 10.6346359568333 & 3.36536404316671 \tabularnewline
8 & 14 & 14.7998079561536 & -0.799807956153551 \tabularnewline
9 & 15 & 14.9516495983623 & 0.048350401637748 \tabularnewline
10 & 15 & 14.0600482110212 & 0.939951788978816 \tabularnewline
11 & 17 & 15.3140242541458 & 1.68597574585423 \tabularnewline
12 & 19 & 15.4833589980852 & 3.51664100191484 \tabularnewline
13 & 10 & 13.1899961470424 & -3.1899961470424 \tabularnewline
14 & 16 & 13.3006373346289 & 2.69936266537109 \tabularnewline
15 & 18 & 15.5441203239839 & 2.45587967601612 \tabularnewline
16 & 14 & 13.1437313738643 & 0.856268626135717 \tabularnewline
17 & 14 & 13.5431820948714 & 0.456817905128637 \tabularnewline
18 & 17 & 15.634116763989 & 1.365883236011 \tabularnewline
19 & 14 & 15.312070670415 & -1.31207067041504 \tabularnewline
20 & 16 & 13.6185523550994 & 2.38144764490064 \tabularnewline
21 & 18 & 15.1474321677043 & 2.85256783229566 \tabularnewline
22 & 11 & 13.4963187722649 & -2.49631877226494 \tabularnewline
23 & 14 & 14.3827246318478 & -0.382724631847845 \tabularnewline
24 & 12 & 13.4015079038249 & -1.40150790382489 \tabularnewline
25 & 17 & 15.181345620542 & 1.81865437945801 \tabularnewline
26 & 9 & 15.7875207043101 & -6.78752070431008 \tabularnewline
27 & 16 & 14.7762137014577 & 1.22378629854225 \tabularnewline
28 & 14 & 13.083283739874 & 0.916716260126018 \tabularnewline
29 & 15 & 13.6337264634594 & 1.36627353654063 \tabularnewline
30 & 11 & 13.7139687101498 & -2.71396871014982 \tabularnewline
31 & 16 & 15.4814546539555 & 0.51854534604451 \tabularnewline
32 & 13 & 12.2762902291151 & 0.723709770884888 \tabularnewline
33 & 17 & 14.8670068418009 & 2.13299315819911 \tabularnewline
34 & 15 & 15.0929388093125 & -0.0929388093124543 \tabularnewline
35 & 14 & 13.6638136571594 & 0.336186342840597 \tabularnewline
36 & 16 & 15.1731776938363 & 0.826822306163691 \tabularnewline
37 & 9 & 10.3296840468942 & -1.32968404689425 \tabularnewline
38 & 15 & 14.1038765367763 & 0.896123463223734 \tabularnewline
39 & 17 & 15.1017518868887 & 1.89824811311129 \tabularnewline
40 & 13 & 15.0494566080889 & -2.04945660808892 \tabularnewline
41 & 15 & 15.5533509989246 & -0.553350998924624 \tabularnewline
42 & 16 & 13.3741891983518 & 2.62581080164821 \tabularnewline
43 & 16 & 15.9208323037273 & 0.0791676962727144 \tabularnewline
44 & 12 & 12.9145599580245 & -0.914559958024543 \tabularnewline
45 & 15 & 14.4324142141709 & 0.567585785829131 \tabularnewline
46 & 11 & 13.3214462406336 & -2.32144624063363 \tabularnewline
47 & 15 & 15.277774854148 & -0.277774854147996 \tabularnewline
48 & 15 & 14.6779870918021 & 0.32201290819794 \tabularnewline
49 & 17 & 13.2479542938264 & 3.75204570617358 \tabularnewline
50 & 13 & 14.575392040673 & -1.57539204067296 \tabularnewline
51 & 16 & 15.104297645559 & 0.89570235444104 \tabularnewline
52 & 14 & 13.1767691697159 & 0.823230830284092 \tabularnewline
53 & 11 & 11.3498040468666 & -0.349804046866555 \tabularnewline
54 & 12 & 13.6103701993922 & -1.61037019939222 \tabularnewline
55 & 12 & 13.670630396643 & -1.67063039664299 \tabularnewline
56 & 15 & 13.3706530487333 & 1.6293469512667 \tabularnewline
57 & 16 & 14.0723737597962 & 1.92762624020383 \tabularnewline
58 & 15 & 15.3334328886411 & -0.333432888641132 \tabularnewline
59 & 12 & 15.0369243923188 & -3.03692439231883 \tabularnewline
60 & 12 & 13.2013757984478 & -1.20137579844777 \tabularnewline
61 & 8 & 10.3584699444765 & -2.35846994447646 \tabularnewline
62 & 13 & 14.4574386450795 & -1.45743864507954 \tabularnewline
63 & 11 & 14.499187874263 & -3.49918787426304 \tabularnewline
64 & 14 & 12.8764366207347 & 1.12356337926533 \tabularnewline
65 & 15 & 13.5368973461118 & 1.46310265388821 \tabularnewline
66 & 10 & 15.0566528144774 & -5.0566528144774 \tabularnewline
67 & 11 & 12.6140711086649 & -1.61407110866495 \tabularnewline
68 & 12 & 14.3887997635054 & -2.38879976350535 \tabularnewline
69 & 15 & 13.4264434466202 & 1.57355655337981 \tabularnewline
70 & 15 & 13.5631017778437 & 1.43689822215627 \tabularnewline
71 & 14 & 13.3561965692162 & 0.643803430783806 \tabularnewline
72 & 16 & 12.5933938252924 & 3.40660617470765 \tabularnewline
73 & 15 & 14.3948609367298 & 0.605139063270182 \tabularnewline
74 & 15 & 15.3152209886422 & -0.315220988642181 \tabularnewline
75 & 13 & 14.8887093078901 & -1.88870930789013 \tabularnewline
76 & 12 & 12.0408339374277 & -0.0408339374276572 \tabularnewline
77 & 17 & 13.9920190951526 & 3.00798090484737 \tabularnewline
78 & 13 & 12.4141007836988 & 0.585899216301247 \tabularnewline
79 & 15 & 13.6324977343554 & 1.36750226564458 \tabularnewline
80 & 13 & 15.0473106779085 & -2.04731067790847 \tabularnewline
81 & 15 & 14.8307557869124 & 0.169244213087634 \tabularnewline
82 & 15 & 15.5442205325884 & -0.54422053258839 \tabularnewline
83 & 16 & 14.2432266736325 & 1.75677332636749 \tabularnewline
84 & 15 & 14.215742046829 & 0.784257953170966 \tabularnewline
85 & 14 & 14.0509639445364 & -0.0509639445364315 \tabularnewline
86 & 15 & 13.9113750636378 & 1.08862493636223 \tabularnewline
87 & 14 & 14.2634293860804 & -0.263429386080434 \tabularnewline
88 & 13 & 12.7268116225518 & 0.273188377448191 \tabularnewline
89 & 7 & 10.3911827438663 & -3.39118274386635 \tabularnewline
90 & 17 & 13.5773588767358 & 3.42264112326421 \tabularnewline
91 & 13 & 12.9082754694114 & 0.0917245305886256 \tabularnewline
92 & 15 & 14.1374729733706 & 0.862527026629444 \tabularnewline
93 & 14 & 13.1826249224938 & 0.817375077506246 \tabularnewline
94 & 13 & 13.843987895739 & -0.843987895738973 \tabularnewline
95 & 16 & 14.9542118787399 & 1.04578812126011 \tabularnewline
96 & 12 & 12.8308910559861 & -0.830891055986099 \tabularnewline
97 & 14 & 14.8207196334183 & -0.820719633418322 \tabularnewline
98 & 17 & 14.9264768644494 & 2.07352313555064 \tabularnewline
99 & 15 & 14.9638628515567 & 0.0361371484432978 \tabularnewline
100 & 17 & 15.2129705387951 & 1.78702946120494 \tabularnewline
101 & 12 & 12.9231322238566 & -0.923132223856568 \tabularnewline
102 & 16 & 15.1274947011394 & 0.872505298860647 \tabularnewline
103 & 11 & 14.4421460066719 & -3.44214600667191 \tabularnewline
104 & 15 & 13.0034614689623 & 1.99653853103767 \tabularnewline
105 & 9 & 11.31342124984 & -2.31342124984003 \tabularnewline
106 & 16 & 15.0040621948875 & 0.995937805112461 \tabularnewline
107 & 15 & 12.942802084283 & 2.05719791571695 \tabularnewline
108 & 10 & 12.8538338322188 & -2.85383383221875 \tabularnewline
109 & 10 & 9.05611682944051 & 0.943883170559495 \tabularnewline
110 & 15 & 13.8321041639319 & 1.16789583606811 \tabularnewline
111 & 11 & 13.1635840551618 & -2.16358405516181 \tabularnewline
112 & 13 & 15.2804472041416 & -2.28044720414158 \tabularnewline
113 & 14 & 11.7694268916786 & 2.23057310832136 \tabularnewline
114 & 18 & 14.0504028244343 & 3.94959717556575 \tabularnewline
115 & 16 & 15.6659038032557 & 0.334096196744318 \tabularnewline
116 & 14 & 13.0029803434568 & 0.99701965654319 \tabularnewline
117 & 14 & 13.7990172024009 & 0.200982797599124 \tabularnewline
118 & 14 & 15.0748498732362 & -1.07484987323623 \tabularnewline
119 & 14 & 13.6868423716153 & 0.313157628384658 \tabularnewline
120 & 12 & 12.4954815232673 & -0.495481523267293 \tabularnewline
121 & 14 & 13.5529902498529 & 0.447009750147132 \tabularnewline
122 & 15 & 14.8570448110853 & 0.142955188914722 \tabularnewline
123 & 15 & 16.028205754014 & -1.02820575401403 \tabularnewline
124 & 15 & 14.632772860911 & 0.367227139088993 \tabularnewline
125 & 13 & 14.7791750149129 & -1.77917501491286 \tabularnewline
126 & 17 & 16.2069343586528 & 0.793065641347153 \tabularnewline
127 & 17 & 15.4159533630029 & 1.58404663699705 \tabularnewline
128 & 19 & 14.9325858256972 & 4.0674141743028 \tabularnewline
129 & 15 & 13.5257219419074 & 1.47427805809257 \tabularnewline
130 & 13 & 14.6461286145476 & -1.6461286145476 \tabularnewline
131 & 9 & 10.4098118448911 & -1.40981184489109 \tabularnewline
132 & 15 & 15.3239994007746 & -0.32399940077456 \tabularnewline
133 & 15 & 12.4875808688312 & 2.51241913116883 \tabularnewline
134 & 15 & 14.2643263574282 & 0.735673642571846 \tabularnewline
135 & 16 & 13.7195728426296 & 2.28042715737044 \tabularnewline
136 & 11 & 9.26937438681373 & 1.73062561318627 \tabularnewline
137 & 14 & 13.3843768997317 & 0.615623100268285 \tabularnewline
138 & 11 & 11.8907486546392 & -0.890748654639161 \tabularnewline
139 & 15 & 14.1576894052128 & 0.84231059478716 \tabularnewline
140 & 13 & 13.6766608422973 & -0.676660842297309 \tabularnewline
141 & 15 & 14.7046022046072 & 0.295397795392775 \tabularnewline
142 & 16 & 13.7381236061693 & 2.26187639383067 \tabularnewline
143 & 14 & 14.7227264674626 & -0.722726467462591 \tabularnewline
144 & 15 & 14.2897012405462 & 0.710298759453813 \tabularnewline
145 & 16 & 14.5160535344593 & 1.48394646554068 \tabularnewline
146 & 16 & 14.5745937403239 & 1.42540625967606 \tabularnewline
147 & 11 & 13.4412975987145 & -2.44129759871451 \tabularnewline
148 & 12 & 14.7411159736163 & -2.74111597361633 \tabularnewline
149 & 9 & 11.4328315040723 & -2.4328315040723 \tabularnewline
150 & 16 & 14.1224264891828 & 1.87757351081723 \tabularnewline
151 & 13 & 12.5925622814019 & 0.407437718598108 \tabularnewline
152 & 16 & 15.4598229436279 & 0.540177056372086 \tabularnewline
153 & 12 & 14.4538350412152 & -2.45383504121523 \tabularnewline
154 & 9 & 11.5082538576142 & -2.50825385761424 \tabularnewline
155 & 13 & 11.6041270890383 & 1.3958729109617 \tabularnewline
156 & 13 & 12.9082754694114 & 0.0917245305886256 \tabularnewline
157 & 14 & 13.253298772826 & 0.746701227173984 \tabularnewline
158 & 19 & 14.9325858256972 & 4.0674141743028 \tabularnewline
159 & 13 & 15.7284123715757 & -2.72841237157566 \tabularnewline
160 & 12 & 11.9025433220836 & 0.0974566779164383 \tabularnewline
161 & 13 & 12.5756265251976 & 0.424373474802357 \tabularnewline
162 & 10 & 9.24867718442486 & 0.751322815575142 \tabularnewline
163 & 14 & 13.1838160822768 & 0.816183917723217 \tabularnewline
164 & 16 & 11.6834008939859 & 4.31659910601408 \tabularnewline
165 & 10 & 12.0045343642407 & -2.0045343642407 \tabularnewline
166 & 11 & 8.96601361949855 & 2.03398638050145 \tabularnewline
167 & 14 & 14.2093371942062 & -0.209337194206189 \tabularnewline
168 & 12 & 12.844250337552 & -0.844250337552015 \tabularnewline
169 & 9 & 12.7559450301432 & -3.75594503014321 \tabularnewline
170 & 9 & 11.948837351728 & -2.94883735172798 \tabularnewline
171 & 11 & 10.5574099616524 & 0.442590038347644 \tabularnewline
172 & 16 & 14.4034595742753 & 1.59654042572466 \tabularnewline
173 & 9 & 14.124841636962 & -5.12484163696205 \tabularnewline
174 & 13 & 11.2264029497922 & 1.77359705020781 \tabularnewline
175 & 16 & 13.4808344609839 & 2.5191655390161 \tabularnewline
176 & 13 & 15.3996743421093 & -2.39967434210932 \tabularnewline
177 & 9 & 12.3863256239318 & -3.38632562393176 \tabularnewline
178 & 12 & 11.4580651275655 & 0.541934872434485 \tabularnewline
179 & 16 & 14.7123286035656 & 1.28767139643441 \tabularnewline
180 & 11 & 13.2022929489582 & -2.20229294895817 \tabularnewline
181 & 14 & 14.3692288651349 & -0.369228865134906 \tabularnewline
182 & 13 & 14.8199669923559 & -1.81996699235594 \tabularnewline
183 & 15 & 15.0130424176059 & -0.0130424176058683 \tabularnewline
184 & 14 & 15.1771987335337 & -1.17719873353372 \tabularnewline
185 & 16 & 14.0000418972083 & 1.99995810279169 \tabularnewline
186 & 13 & 11.7217214817293 & 1.27827851827073 \tabularnewline
187 & 14 & 13.7248419798623 & 0.275158020137723 \tabularnewline
188 & 15 & 14.2685408706179 & 0.731459129382128 \tabularnewline
189 & 13 & 12.4431540030491 & 0.556845996950944 \tabularnewline
190 & 11 & 10.2209353766078 & 0.779064623392219 \tabularnewline
191 & 11 & 12.6621984969577 & -1.66219849695766 \tabularnewline
192 & 14 & 15.2353279619689 & -1.23532796196886 \tabularnewline
193 & 15 & 12.717058701981 & 2.28294129801904 \tabularnewline
194 & 11 & 12.7421674414267 & -1.74216744142668 \tabularnewline
195 & 15 & 13.2196805484082 & 1.78031945159178 \tabularnewline
196 & 12 & 14.2997992106741 & -2.29979921067406 \tabularnewline
197 & 14 & 11.8412008759913 & 2.15879912400871 \tabularnewline
198 & 14 & 13.5616427137292 & 0.438357286270806 \tabularnewline
199 & 8 & 11.2261704969156 & -3.22617049691562 \tabularnewline
200 & 13 & 13.8798062733684 & -0.8798062733684 \tabularnewline
201 & 9 & 12.3456652642706 & -3.34566526427064 \tabularnewline
202 & 15 & 13.8438151491948 & 1.15618485080523 \tabularnewline
203 & 17 & 14.1180231234838 & 2.88197687651624 \tabularnewline
204 & 13 & 12.7669072870952 & 0.233092712904763 \tabularnewline
205 & 15 & 14.6023305318778 & 0.397669468122229 \tabularnewline
206 & 15 & 13.9223836796425 & 1.07761632035752 \tabularnewline
207 & 14 & 14.7671578346949 & -0.76715783469492 \tabularnewline
208 & 16 & 12.7792272291514 & 3.22077277084857 \tabularnewline
209 & 13 & 13.0410047997657 & -0.0410047997657467 \tabularnewline
210 & 16 & 14.4721470341153 & 1.52785296588468 \tabularnewline
211 & 9 & 11.8374758449538 & -2.83747584495381 \tabularnewline
212 & 16 & 14.7738441892076 & 1.22615581079241 \tabularnewline
213 & 11 & 12.3542830278579 & -1.35428302785793 \tabularnewline
214 & 10 & 13.9883733237212 & -3.98837332372117 \tabularnewline
215 & 11 & 12.3437976281645 & -1.34379762816446 \tabularnewline
216 & 15 & 13.4658240893694 & 1.53417591063057 \tabularnewline
217 & 17 & 15.1354790353192 & 1.86452096468083 \tabularnewline
218 & 14 & 14.4778342061112 & -0.477834206111229 \tabularnewline
219 & 8 & 10.0118061256161 & -2.01180612561607 \tabularnewline
220 & 15 & 13.8262426611719 & 1.17375733882814 \tabularnewline
221 & 11 & 14.0879897141983 & -3.08798971419826 \tabularnewline
222 & 16 & 13.7789661920851 & 2.22103380791492 \tabularnewline
223 & 10 & 12.3106029907508 & -2.31060299075083 \tabularnewline
224 & 15 & 14.9912175292064 & 0.00878247079359597 \tabularnewline
225 & 9 & 9.57096834486945 & -0.57096834486945 \tabularnewline
226 & 16 & 14.3253025896838 & 1.67469741031625 \tabularnewline
227 & 19 & 14.0523805004811 & 4.94761949951887 \tabularnewline
228 & 12 & 13.8122538104826 & -1.81225381048259 \tabularnewline
229 & 8 & 9.54164325711857 & -1.54164325711857 \tabularnewline
230 & 11 & 13.5084967240193 & -2.50849672401933 \tabularnewline
231 & 14 & 13.9775448900268 & 0.022455109973216 \tabularnewline
232 & 9 & 12.1637820876485 & -3.16378208764854 \tabularnewline
233 & 15 & 15.20075334751 & -0.200753347509993 \tabularnewline
234 & 13 & 12.8005061430817 & 0.199493856918321 \tabularnewline
235 & 16 & 15.1358300182434 & 0.864169981756642 \tabularnewline
236 & 11 & 12.9949994547665 & -1.99499945476654 \tabularnewline
237 & 12 & 11.3183029986989 & 0.681697001301111 \tabularnewline
238 & 13 & 13.1555583007782 & -0.155558300778223 \tabularnewline
239 & 10 & 14.6056007439859 & -4.60560074398594 \tabularnewline
240 & 11 & 13.7009604505846 & -2.70096045058461 \tabularnewline
241 & 12 & 14.9065750123025 & -2.90657501230253 \tabularnewline
242 & 8 & 10.8942297149036 & -2.89422971490358 \tabularnewline
243 & 12 & 11.7574874521308 & 0.242512547869187 \tabularnewline
244 & 12 & 12.3978989350542 & -0.397898935054159 \tabularnewline
245 & 15 & 13.7983203225766 & 1.20167967742344 \tabularnewline
246 & 11 & 10.7725243291456 & 0.227475670854398 \tabularnewline
247 & 13 & 12.9403100895384 & 0.0596899104615773 \tabularnewline
248 & 14 & 8.96357045459862 & 5.03642954540138 \tabularnewline
249 & 10 & 10.2627939512649 & -0.26279395126485 \tabularnewline
250 & 12 & 11.6090382437595 & 0.390961756240461 \tabularnewline
251 & 15 & 12.9570302328683 & 2.04296976713175 \tabularnewline
252 & 13 & 11.8963150405457 & 1.10368495945432 \tabularnewline
253 & 13 & 14.3340628665978 & -1.33406286659775 \tabularnewline
254 & 13 & 13.9837252749062 & -0.983725274906167 \tabularnewline
255 & 12 & 12.0196900287851 & -0.0196900287850523 \tabularnewline
256 & 12 & 12.924785950028 & -0.924785950028018 \tabularnewline
257 & 9 & 10.9815997213992 & -1.98159972139917 \tabularnewline
258 & 9 & 11.6531451794713 & -2.6531451794713 \tabularnewline
259 & 15 & 12.8082801785521 & 2.19171982144787 \tabularnewline
260 & 10 & 14.8148782408812 & -4.81487824088119 \tabularnewline
261 & 14 & 13.9039248742578 & 0.0960751257422043 \tabularnewline
262 & 15 & 13.7172898289908 & 1.28271017100917 \tabularnewline
263 & 7 & 9.93742707142156 & -2.93742707142156 \tabularnewline
264 & 14 & 14.0322842464238 & -0.0322842464237909 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253697&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]14[/C][C]13.7027277679538[/C][C]0.297272232046221[/C][/ROW]
[ROW][C]2[/C][C]18[/C][C]15.0295694866488[/C][C]2.97043051335122[/C][/ROW]
[ROW][C]3[/C][C]11[/C][C]13.7778861456376[/C][C]-2.77788614563763[/C][/ROW]
[ROW][C]4[/C][C]12[/C][C]14.1183453104521[/C][C]-2.11834531045213[/C][/ROW]
[ROW][C]5[/C][C]16[/C][C]10.8188322578745[/C][C]5.18116774212549[/C][/ROW]
[ROW][C]6[/C][C]18[/C][C]14.1008540889134[/C][C]3.89914591108657[/C][/ROW]
[ROW][C]7[/C][C]14[/C][C]10.6346359568333[/C][C]3.36536404316671[/C][/ROW]
[ROW][C]8[/C][C]14[/C][C]14.7998079561536[/C][C]-0.799807956153551[/C][/ROW]
[ROW][C]9[/C][C]15[/C][C]14.9516495983623[/C][C]0.048350401637748[/C][/ROW]
[ROW][C]10[/C][C]15[/C][C]14.0600482110212[/C][C]0.939951788978816[/C][/ROW]
[ROW][C]11[/C][C]17[/C][C]15.3140242541458[/C][C]1.68597574585423[/C][/ROW]
[ROW][C]12[/C][C]19[/C][C]15.4833589980852[/C][C]3.51664100191484[/C][/ROW]
[ROW][C]13[/C][C]10[/C][C]13.1899961470424[/C][C]-3.1899961470424[/C][/ROW]
[ROW][C]14[/C][C]16[/C][C]13.3006373346289[/C][C]2.69936266537109[/C][/ROW]
[ROW][C]15[/C][C]18[/C][C]15.5441203239839[/C][C]2.45587967601612[/C][/ROW]
[ROW][C]16[/C][C]14[/C][C]13.1437313738643[/C][C]0.856268626135717[/C][/ROW]
[ROW][C]17[/C][C]14[/C][C]13.5431820948714[/C][C]0.456817905128637[/C][/ROW]
[ROW][C]18[/C][C]17[/C][C]15.634116763989[/C][C]1.365883236011[/C][/ROW]
[ROW][C]19[/C][C]14[/C][C]15.312070670415[/C][C]-1.31207067041504[/C][/ROW]
[ROW][C]20[/C][C]16[/C][C]13.6185523550994[/C][C]2.38144764490064[/C][/ROW]
[ROW][C]21[/C][C]18[/C][C]15.1474321677043[/C][C]2.85256783229566[/C][/ROW]
[ROW][C]22[/C][C]11[/C][C]13.4963187722649[/C][C]-2.49631877226494[/C][/ROW]
[ROW][C]23[/C][C]14[/C][C]14.3827246318478[/C][C]-0.382724631847845[/C][/ROW]
[ROW][C]24[/C][C]12[/C][C]13.4015079038249[/C][C]-1.40150790382489[/C][/ROW]
[ROW][C]25[/C][C]17[/C][C]15.181345620542[/C][C]1.81865437945801[/C][/ROW]
[ROW][C]26[/C][C]9[/C][C]15.7875207043101[/C][C]-6.78752070431008[/C][/ROW]
[ROW][C]27[/C][C]16[/C][C]14.7762137014577[/C][C]1.22378629854225[/C][/ROW]
[ROW][C]28[/C][C]14[/C][C]13.083283739874[/C][C]0.916716260126018[/C][/ROW]
[ROW][C]29[/C][C]15[/C][C]13.6337264634594[/C][C]1.36627353654063[/C][/ROW]
[ROW][C]30[/C][C]11[/C][C]13.7139687101498[/C][C]-2.71396871014982[/C][/ROW]
[ROW][C]31[/C][C]16[/C][C]15.4814546539555[/C][C]0.51854534604451[/C][/ROW]
[ROW][C]32[/C][C]13[/C][C]12.2762902291151[/C][C]0.723709770884888[/C][/ROW]
[ROW][C]33[/C][C]17[/C][C]14.8670068418009[/C][C]2.13299315819911[/C][/ROW]
[ROW][C]34[/C][C]15[/C][C]15.0929388093125[/C][C]-0.0929388093124543[/C][/ROW]
[ROW][C]35[/C][C]14[/C][C]13.6638136571594[/C][C]0.336186342840597[/C][/ROW]
[ROW][C]36[/C][C]16[/C][C]15.1731776938363[/C][C]0.826822306163691[/C][/ROW]
[ROW][C]37[/C][C]9[/C][C]10.3296840468942[/C][C]-1.32968404689425[/C][/ROW]
[ROW][C]38[/C][C]15[/C][C]14.1038765367763[/C][C]0.896123463223734[/C][/ROW]
[ROW][C]39[/C][C]17[/C][C]15.1017518868887[/C][C]1.89824811311129[/C][/ROW]
[ROW][C]40[/C][C]13[/C][C]15.0494566080889[/C][C]-2.04945660808892[/C][/ROW]
[ROW][C]41[/C][C]15[/C][C]15.5533509989246[/C][C]-0.553350998924624[/C][/ROW]
[ROW][C]42[/C][C]16[/C][C]13.3741891983518[/C][C]2.62581080164821[/C][/ROW]
[ROW][C]43[/C][C]16[/C][C]15.9208323037273[/C][C]0.0791676962727144[/C][/ROW]
[ROW][C]44[/C][C]12[/C][C]12.9145599580245[/C][C]-0.914559958024543[/C][/ROW]
[ROW][C]45[/C][C]15[/C][C]14.4324142141709[/C][C]0.567585785829131[/C][/ROW]
[ROW][C]46[/C][C]11[/C][C]13.3214462406336[/C][C]-2.32144624063363[/C][/ROW]
[ROW][C]47[/C][C]15[/C][C]15.277774854148[/C][C]-0.277774854147996[/C][/ROW]
[ROW][C]48[/C][C]15[/C][C]14.6779870918021[/C][C]0.32201290819794[/C][/ROW]
[ROW][C]49[/C][C]17[/C][C]13.2479542938264[/C][C]3.75204570617358[/C][/ROW]
[ROW][C]50[/C][C]13[/C][C]14.575392040673[/C][C]-1.57539204067296[/C][/ROW]
[ROW][C]51[/C][C]16[/C][C]15.104297645559[/C][C]0.89570235444104[/C][/ROW]
[ROW][C]52[/C][C]14[/C][C]13.1767691697159[/C][C]0.823230830284092[/C][/ROW]
[ROW][C]53[/C][C]11[/C][C]11.3498040468666[/C][C]-0.349804046866555[/C][/ROW]
[ROW][C]54[/C][C]12[/C][C]13.6103701993922[/C][C]-1.61037019939222[/C][/ROW]
[ROW][C]55[/C][C]12[/C][C]13.670630396643[/C][C]-1.67063039664299[/C][/ROW]
[ROW][C]56[/C][C]15[/C][C]13.3706530487333[/C][C]1.6293469512667[/C][/ROW]
[ROW][C]57[/C][C]16[/C][C]14.0723737597962[/C][C]1.92762624020383[/C][/ROW]
[ROW][C]58[/C][C]15[/C][C]15.3334328886411[/C][C]-0.333432888641132[/C][/ROW]
[ROW][C]59[/C][C]12[/C][C]15.0369243923188[/C][C]-3.03692439231883[/C][/ROW]
[ROW][C]60[/C][C]12[/C][C]13.2013757984478[/C][C]-1.20137579844777[/C][/ROW]
[ROW][C]61[/C][C]8[/C][C]10.3584699444765[/C][C]-2.35846994447646[/C][/ROW]
[ROW][C]62[/C][C]13[/C][C]14.4574386450795[/C][C]-1.45743864507954[/C][/ROW]
[ROW][C]63[/C][C]11[/C][C]14.499187874263[/C][C]-3.49918787426304[/C][/ROW]
[ROW][C]64[/C][C]14[/C][C]12.8764366207347[/C][C]1.12356337926533[/C][/ROW]
[ROW][C]65[/C][C]15[/C][C]13.5368973461118[/C][C]1.46310265388821[/C][/ROW]
[ROW][C]66[/C][C]10[/C][C]15.0566528144774[/C][C]-5.0566528144774[/C][/ROW]
[ROW][C]67[/C][C]11[/C][C]12.6140711086649[/C][C]-1.61407110866495[/C][/ROW]
[ROW][C]68[/C][C]12[/C][C]14.3887997635054[/C][C]-2.38879976350535[/C][/ROW]
[ROW][C]69[/C][C]15[/C][C]13.4264434466202[/C][C]1.57355655337981[/C][/ROW]
[ROW][C]70[/C][C]15[/C][C]13.5631017778437[/C][C]1.43689822215627[/C][/ROW]
[ROW][C]71[/C][C]14[/C][C]13.3561965692162[/C][C]0.643803430783806[/C][/ROW]
[ROW][C]72[/C][C]16[/C][C]12.5933938252924[/C][C]3.40660617470765[/C][/ROW]
[ROW][C]73[/C][C]15[/C][C]14.3948609367298[/C][C]0.605139063270182[/C][/ROW]
[ROW][C]74[/C][C]15[/C][C]15.3152209886422[/C][C]-0.315220988642181[/C][/ROW]
[ROW][C]75[/C][C]13[/C][C]14.8887093078901[/C][C]-1.88870930789013[/C][/ROW]
[ROW][C]76[/C][C]12[/C][C]12.0408339374277[/C][C]-0.0408339374276572[/C][/ROW]
[ROW][C]77[/C][C]17[/C][C]13.9920190951526[/C][C]3.00798090484737[/C][/ROW]
[ROW][C]78[/C][C]13[/C][C]12.4141007836988[/C][C]0.585899216301247[/C][/ROW]
[ROW][C]79[/C][C]15[/C][C]13.6324977343554[/C][C]1.36750226564458[/C][/ROW]
[ROW][C]80[/C][C]13[/C][C]15.0473106779085[/C][C]-2.04731067790847[/C][/ROW]
[ROW][C]81[/C][C]15[/C][C]14.8307557869124[/C][C]0.169244213087634[/C][/ROW]
[ROW][C]82[/C][C]15[/C][C]15.5442205325884[/C][C]-0.54422053258839[/C][/ROW]
[ROW][C]83[/C][C]16[/C][C]14.2432266736325[/C][C]1.75677332636749[/C][/ROW]
[ROW][C]84[/C][C]15[/C][C]14.215742046829[/C][C]0.784257953170966[/C][/ROW]
[ROW][C]85[/C][C]14[/C][C]14.0509639445364[/C][C]-0.0509639445364315[/C][/ROW]
[ROW][C]86[/C][C]15[/C][C]13.9113750636378[/C][C]1.08862493636223[/C][/ROW]
[ROW][C]87[/C][C]14[/C][C]14.2634293860804[/C][C]-0.263429386080434[/C][/ROW]
[ROW][C]88[/C][C]13[/C][C]12.7268116225518[/C][C]0.273188377448191[/C][/ROW]
[ROW][C]89[/C][C]7[/C][C]10.3911827438663[/C][C]-3.39118274386635[/C][/ROW]
[ROW][C]90[/C][C]17[/C][C]13.5773588767358[/C][C]3.42264112326421[/C][/ROW]
[ROW][C]91[/C][C]13[/C][C]12.9082754694114[/C][C]0.0917245305886256[/C][/ROW]
[ROW][C]92[/C][C]15[/C][C]14.1374729733706[/C][C]0.862527026629444[/C][/ROW]
[ROW][C]93[/C][C]14[/C][C]13.1826249224938[/C][C]0.817375077506246[/C][/ROW]
[ROW][C]94[/C][C]13[/C][C]13.843987895739[/C][C]-0.843987895738973[/C][/ROW]
[ROW][C]95[/C][C]16[/C][C]14.9542118787399[/C][C]1.04578812126011[/C][/ROW]
[ROW][C]96[/C][C]12[/C][C]12.8308910559861[/C][C]-0.830891055986099[/C][/ROW]
[ROW][C]97[/C][C]14[/C][C]14.8207196334183[/C][C]-0.820719633418322[/C][/ROW]
[ROW][C]98[/C][C]17[/C][C]14.9264768644494[/C][C]2.07352313555064[/C][/ROW]
[ROW][C]99[/C][C]15[/C][C]14.9638628515567[/C][C]0.0361371484432978[/C][/ROW]
[ROW][C]100[/C][C]17[/C][C]15.2129705387951[/C][C]1.78702946120494[/C][/ROW]
[ROW][C]101[/C][C]12[/C][C]12.9231322238566[/C][C]-0.923132223856568[/C][/ROW]
[ROW][C]102[/C][C]16[/C][C]15.1274947011394[/C][C]0.872505298860647[/C][/ROW]
[ROW][C]103[/C][C]11[/C][C]14.4421460066719[/C][C]-3.44214600667191[/C][/ROW]
[ROW][C]104[/C][C]15[/C][C]13.0034614689623[/C][C]1.99653853103767[/C][/ROW]
[ROW][C]105[/C][C]9[/C][C]11.31342124984[/C][C]-2.31342124984003[/C][/ROW]
[ROW][C]106[/C][C]16[/C][C]15.0040621948875[/C][C]0.995937805112461[/C][/ROW]
[ROW][C]107[/C][C]15[/C][C]12.942802084283[/C][C]2.05719791571695[/C][/ROW]
[ROW][C]108[/C][C]10[/C][C]12.8538338322188[/C][C]-2.85383383221875[/C][/ROW]
[ROW][C]109[/C][C]10[/C][C]9.05611682944051[/C][C]0.943883170559495[/C][/ROW]
[ROW][C]110[/C][C]15[/C][C]13.8321041639319[/C][C]1.16789583606811[/C][/ROW]
[ROW][C]111[/C][C]11[/C][C]13.1635840551618[/C][C]-2.16358405516181[/C][/ROW]
[ROW][C]112[/C][C]13[/C][C]15.2804472041416[/C][C]-2.28044720414158[/C][/ROW]
[ROW][C]113[/C][C]14[/C][C]11.7694268916786[/C][C]2.23057310832136[/C][/ROW]
[ROW][C]114[/C][C]18[/C][C]14.0504028244343[/C][C]3.94959717556575[/C][/ROW]
[ROW][C]115[/C][C]16[/C][C]15.6659038032557[/C][C]0.334096196744318[/C][/ROW]
[ROW][C]116[/C][C]14[/C][C]13.0029803434568[/C][C]0.99701965654319[/C][/ROW]
[ROW][C]117[/C][C]14[/C][C]13.7990172024009[/C][C]0.200982797599124[/C][/ROW]
[ROW][C]118[/C][C]14[/C][C]15.0748498732362[/C][C]-1.07484987323623[/C][/ROW]
[ROW][C]119[/C][C]14[/C][C]13.6868423716153[/C][C]0.313157628384658[/C][/ROW]
[ROW][C]120[/C][C]12[/C][C]12.4954815232673[/C][C]-0.495481523267293[/C][/ROW]
[ROW][C]121[/C][C]14[/C][C]13.5529902498529[/C][C]0.447009750147132[/C][/ROW]
[ROW][C]122[/C][C]15[/C][C]14.8570448110853[/C][C]0.142955188914722[/C][/ROW]
[ROW][C]123[/C][C]15[/C][C]16.028205754014[/C][C]-1.02820575401403[/C][/ROW]
[ROW][C]124[/C][C]15[/C][C]14.632772860911[/C][C]0.367227139088993[/C][/ROW]
[ROW][C]125[/C][C]13[/C][C]14.7791750149129[/C][C]-1.77917501491286[/C][/ROW]
[ROW][C]126[/C][C]17[/C][C]16.2069343586528[/C][C]0.793065641347153[/C][/ROW]
[ROW][C]127[/C][C]17[/C][C]15.4159533630029[/C][C]1.58404663699705[/C][/ROW]
[ROW][C]128[/C][C]19[/C][C]14.9325858256972[/C][C]4.0674141743028[/C][/ROW]
[ROW][C]129[/C][C]15[/C][C]13.5257219419074[/C][C]1.47427805809257[/C][/ROW]
[ROW][C]130[/C][C]13[/C][C]14.6461286145476[/C][C]-1.6461286145476[/C][/ROW]
[ROW][C]131[/C][C]9[/C][C]10.4098118448911[/C][C]-1.40981184489109[/C][/ROW]
[ROW][C]132[/C][C]15[/C][C]15.3239994007746[/C][C]-0.32399940077456[/C][/ROW]
[ROW][C]133[/C][C]15[/C][C]12.4875808688312[/C][C]2.51241913116883[/C][/ROW]
[ROW][C]134[/C][C]15[/C][C]14.2643263574282[/C][C]0.735673642571846[/C][/ROW]
[ROW][C]135[/C][C]16[/C][C]13.7195728426296[/C][C]2.28042715737044[/C][/ROW]
[ROW][C]136[/C][C]11[/C][C]9.26937438681373[/C][C]1.73062561318627[/C][/ROW]
[ROW][C]137[/C][C]14[/C][C]13.3843768997317[/C][C]0.615623100268285[/C][/ROW]
[ROW][C]138[/C][C]11[/C][C]11.8907486546392[/C][C]-0.890748654639161[/C][/ROW]
[ROW][C]139[/C][C]15[/C][C]14.1576894052128[/C][C]0.84231059478716[/C][/ROW]
[ROW][C]140[/C][C]13[/C][C]13.6766608422973[/C][C]-0.676660842297309[/C][/ROW]
[ROW][C]141[/C][C]15[/C][C]14.7046022046072[/C][C]0.295397795392775[/C][/ROW]
[ROW][C]142[/C][C]16[/C][C]13.7381236061693[/C][C]2.26187639383067[/C][/ROW]
[ROW][C]143[/C][C]14[/C][C]14.7227264674626[/C][C]-0.722726467462591[/C][/ROW]
[ROW][C]144[/C][C]15[/C][C]14.2897012405462[/C][C]0.710298759453813[/C][/ROW]
[ROW][C]145[/C][C]16[/C][C]14.5160535344593[/C][C]1.48394646554068[/C][/ROW]
[ROW][C]146[/C][C]16[/C][C]14.5745937403239[/C][C]1.42540625967606[/C][/ROW]
[ROW][C]147[/C][C]11[/C][C]13.4412975987145[/C][C]-2.44129759871451[/C][/ROW]
[ROW][C]148[/C][C]12[/C][C]14.7411159736163[/C][C]-2.74111597361633[/C][/ROW]
[ROW][C]149[/C][C]9[/C][C]11.4328315040723[/C][C]-2.4328315040723[/C][/ROW]
[ROW][C]150[/C][C]16[/C][C]14.1224264891828[/C][C]1.87757351081723[/C][/ROW]
[ROW][C]151[/C][C]13[/C][C]12.5925622814019[/C][C]0.407437718598108[/C][/ROW]
[ROW][C]152[/C][C]16[/C][C]15.4598229436279[/C][C]0.540177056372086[/C][/ROW]
[ROW][C]153[/C][C]12[/C][C]14.4538350412152[/C][C]-2.45383504121523[/C][/ROW]
[ROW][C]154[/C][C]9[/C][C]11.5082538576142[/C][C]-2.50825385761424[/C][/ROW]
[ROW][C]155[/C][C]13[/C][C]11.6041270890383[/C][C]1.3958729109617[/C][/ROW]
[ROW][C]156[/C][C]13[/C][C]12.9082754694114[/C][C]0.0917245305886256[/C][/ROW]
[ROW][C]157[/C][C]14[/C][C]13.253298772826[/C][C]0.746701227173984[/C][/ROW]
[ROW][C]158[/C][C]19[/C][C]14.9325858256972[/C][C]4.0674141743028[/C][/ROW]
[ROW][C]159[/C][C]13[/C][C]15.7284123715757[/C][C]-2.72841237157566[/C][/ROW]
[ROW][C]160[/C][C]12[/C][C]11.9025433220836[/C][C]0.0974566779164383[/C][/ROW]
[ROW][C]161[/C][C]13[/C][C]12.5756265251976[/C][C]0.424373474802357[/C][/ROW]
[ROW][C]162[/C][C]10[/C][C]9.24867718442486[/C][C]0.751322815575142[/C][/ROW]
[ROW][C]163[/C][C]14[/C][C]13.1838160822768[/C][C]0.816183917723217[/C][/ROW]
[ROW][C]164[/C][C]16[/C][C]11.6834008939859[/C][C]4.31659910601408[/C][/ROW]
[ROW][C]165[/C][C]10[/C][C]12.0045343642407[/C][C]-2.0045343642407[/C][/ROW]
[ROW][C]166[/C][C]11[/C][C]8.96601361949855[/C][C]2.03398638050145[/C][/ROW]
[ROW][C]167[/C][C]14[/C][C]14.2093371942062[/C][C]-0.209337194206189[/C][/ROW]
[ROW][C]168[/C][C]12[/C][C]12.844250337552[/C][C]-0.844250337552015[/C][/ROW]
[ROW][C]169[/C][C]9[/C][C]12.7559450301432[/C][C]-3.75594503014321[/C][/ROW]
[ROW][C]170[/C][C]9[/C][C]11.948837351728[/C][C]-2.94883735172798[/C][/ROW]
[ROW][C]171[/C][C]11[/C][C]10.5574099616524[/C][C]0.442590038347644[/C][/ROW]
[ROW][C]172[/C][C]16[/C][C]14.4034595742753[/C][C]1.59654042572466[/C][/ROW]
[ROW][C]173[/C][C]9[/C][C]14.124841636962[/C][C]-5.12484163696205[/C][/ROW]
[ROW][C]174[/C][C]13[/C][C]11.2264029497922[/C][C]1.77359705020781[/C][/ROW]
[ROW][C]175[/C][C]16[/C][C]13.4808344609839[/C][C]2.5191655390161[/C][/ROW]
[ROW][C]176[/C][C]13[/C][C]15.3996743421093[/C][C]-2.39967434210932[/C][/ROW]
[ROW][C]177[/C][C]9[/C][C]12.3863256239318[/C][C]-3.38632562393176[/C][/ROW]
[ROW][C]178[/C][C]12[/C][C]11.4580651275655[/C][C]0.541934872434485[/C][/ROW]
[ROW][C]179[/C][C]16[/C][C]14.7123286035656[/C][C]1.28767139643441[/C][/ROW]
[ROW][C]180[/C][C]11[/C][C]13.2022929489582[/C][C]-2.20229294895817[/C][/ROW]
[ROW][C]181[/C][C]14[/C][C]14.3692288651349[/C][C]-0.369228865134906[/C][/ROW]
[ROW][C]182[/C][C]13[/C][C]14.8199669923559[/C][C]-1.81996699235594[/C][/ROW]
[ROW][C]183[/C][C]15[/C][C]15.0130424176059[/C][C]-0.0130424176058683[/C][/ROW]
[ROW][C]184[/C][C]14[/C][C]15.1771987335337[/C][C]-1.17719873353372[/C][/ROW]
[ROW][C]185[/C][C]16[/C][C]14.0000418972083[/C][C]1.99995810279169[/C][/ROW]
[ROW][C]186[/C][C]13[/C][C]11.7217214817293[/C][C]1.27827851827073[/C][/ROW]
[ROW][C]187[/C][C]14[/C][C]13.7248419798623[/C][C]0.275158020137723[/C][/ROW]
[ROW][C]188[/C][C]15[/C][C]14.2685408706179[/C][C]0.731459129382128[/C][/ROW]
[ROW][C]189[/C][C]13[/C][C]12.4431540030491[/C][C]0.556845996950944[/C][/ROW]
[ROW][C]190[/C][C]11[/C][C]10.2209353766078[/C][C]0.779064623392219[/C][/ROW]
[ROW][C]191[/C][C]11[/C][C]12.6621984969577[/C][C]-1.66219849695766[/C][/ROW]
[ROW][C]192[/C][C]14[/C][C]15.2353279619689[/C][C]-1.23532796196886[/C][/ROW]
[ROW][C]193[/C][C]15[/C][C]12.717058701981[/C][C]2.28294129801904[/C][/ROW]
[ROW][C]194[/C][C]11[/C][C]12.7421674414267[/C][C]-1.74216744142668[/C][/ROW]
[ROW][C]195[/C][C]15[/C][C]13.2196805484082[/C][C]1.78031945159178[/C][/ROW]
[ROW][C]196[/C][C]12[/C][C]14.2997992106741[/C][C]-2.29979921067406[/C][/ROW]
[ROW][C]197[/C][C]14[/C][C]11.8412008759913[/C][C]2.15879912400871[/C][/ROW]
[ROW][C]198[/C][C]14[/C][C]13.5616427137292[/C][C]0.438357286270806[/C][/ROW]
[ROW][C]199[/C][C]8[/C][C]11.2261704969156[/C][C]-3.22617049691562[/C][/ROW]
[ROW][C]200[/C][C]13[/C][C]13.8798062733684[/C][C]-0.8798062733684[/C][/ROW]
[ROW][C]201[/C][C]9[/C][C]12.3456652642706[/C][C]-3.34566526427064[/C][/ROW]
[ROW][C]202[/C][C]15[/C][C]13.8438151491948[/C][C]1.15618485080523[/C][/ROW]
[ROW][C]203[/C][C]17[/C][C]14.1180231234838[/C][C]2.88197687651624[/C][/ROW]
[ROW][C]204[/C][C]13[/C][C]12.7669072870952[/C][C]0.233092712904763[/C][/ROW]
[ROW][C]205[/C][C]15[/C][C]14.6023305318778[/C][C]0.397669468122229[/C][/ROW]
[ROW][C]206[/C][C]15[/C][C]13.9223836796425[/C][C]1.07761632035752[/C][/ROW]
[ROW][C]207[/C][C]14[/C][C]14.7671578346949[/C][C]-0.76715783469492[/C][/ROW]
[ROW][C]208[/C][C]16[/C][C]12.7792272291514[/C][C]3.22077277084857[/C][/ROW]
[ROW][C]209[/C][C]13[/C][C]13.0410047997657[/C][C]-0.0410047997657467[/C][/ROW]
[ROW][C]210[/C][C]16[/C][C]14.4721470341153[/C][C]1.52785296588468[/C][/ROW]
[ROW][C]211[/C][C]9[/C][C]11.8374758449538[/C][C]-2.83747584495381[/C][/ROW]
[ROW][C]212[/C][C]16[/C][C]14.7738441892076[/C][C]1.22615581079241[/C][/ROW]
[ROW][C]213[/C][C]11[/C][C]12.3542830278579[/C][C]-1.35428302785793[/C][/ROW]
[ROW][C]214[/C][C]10[/C][C]13.9883733237212[/C][C]-3.98837332372117[/C][/ROW]
[ROW][C]215[/C][C]11[/C][C]12.3437976281645[/C][C]-1.34379762816446[/C][/ROW]
[ROW][C]216[/C][C]15[/C][C]13.4658240893694[/C][C]1.53417591063057[/C][/ROW]
[ROW][C]217[/C][C]17[/C][C]15.1354790353192[/C][C]1.86452096468083[/C][/ROW]
[ROW][C]218[/C][C]14[/C][C]14.4778342061112[/C][C]-0.477834206111229[/C][/ROW]
[ROW][C]219[/C][C]8[/C][C]10.0118061256161[/C][C]-2.01180612561607[/C][/ROW]
[ROW][C]220[/C][C]15[/C][C]13.8262426611719[/C][C]1.17375733882814[/C][/ROW]
[ROW][C]221[/C][C]11[/C][C]14.0879897141983[/C][C]-3.08798971419826[/C][/ROW]
[ROW][C]222[/C][C]16[/C][C]13.7789661920851[/C][C]2.22103380791492[/C][/ROW]
[ROW][C]223[/C][C]10[/C][C]12.3106029907508[/C][C]-2.31060299075083[/C][/ROW]
[ROW][C]224[/C][C]15[/C][C]14.9912175292064[/C][C]0.00878247079359597[/C][/ROW]
[ROW][C]225[/C][C]9[/C][C]9.57096834486945[/C][C]-0.57096834486945[/C][/ROW]
[ROW][C]226[/C][C]16[/C][C]14.3253025896838[/C][C]1.67469741031625[/C][/ROW]
[ROW][C]227[/C][C]19[/C][C]14.0523805004811[/C][C]4.94761949951887[/C][/ROW]
[ROW][C]228[/C][C]12[/C][C]13.8122538104826[/C][C]-1.81225381048259[/C][/ROW]
[ROW][C]229[/C][C]8[/C][C]9.54164325711857[/C][C]-1.54164325711857[/C][/ROW]
[ROW][C]230[/C][C]11[/C][C]13.5084967240193[/C][C]-2.50849672401933[/C][/ROW]
[ROW][C]231[/C][C]14[/C][C]13.9775448900268[/C][C]0.022455109973216[/C][/ROW]
[ROW][C]232[/C][C]9[/C][C]12.1637820876485[/C][C]-3.16378208764854[/C][/ROW]
[ROW][C]233[/C][C]15[/C][C]15.20075334751[/C][C]-0.200753347509993[/C][/ROW]
[ROW][C]234[/C][C]13[/C][C]12.8005061430817[/C][C]0.199493856918321[/C][/ROW]
[ROW][C]235[/C][C]16[/C][C]15.1358300182434[/C][C]0.864169981756642[/C][/ROW]
[ROW][C]236[/C][C]11[/C][C]12.9949994547665[/C][C]-1.99499945476654[/C][/ROW]
[ROW][C]237[/C][C]12[/C][C]11.3183029986989[/C][C]0.681697001301111[/C][/ROW]
[ROW][C]238[/C][C]13[/C][C]13.1555583007782[/C][C]-0.155558300778223[/C][/ROW]
[ROW][C]239[/C][C]10[/C][C]14.6056007439859[/C][C]-4.60560074398594[/C][/ROW]
[ROW][C]240[/C][C]11[/C][C]13.7009604505846[/C][C]-2.70096045058461[/C][/ROW]
[ROW][C]241[/C][C]12[/C][C]14.9065750123025[/C][C]-2.90657501230253[/C][/ROW]
[ROW][C]242[/C][C]8[/C][C]10.8942297149036[/C][C]-2.89422971490358[/C][/ROW]
[ROW][C]243[/C][C]12[/C][C]11.7574874521308[/C][C]0.242512547869187[/C][/ROW]
[ROW][C]244[/C][C]12[/C][C]12.3978989350542[/C][C]-0.397898935054159[/C][/ROW]
[ROW][C]245[/C][C]15[/C][C]13.7983203225766[/C][C]1.20167967742344[/C][/ROW]
[ROW][C]246[/C][C]11[/C][C]10.7725243291456[/C][C]0.227475670854398[/C][/ROW]
[ROW][C]247[/C][C]13[/C][C]12.9403100895384[/C][C]0.0596899104615773[/C][/ROW]
[ROW][C]248[/C][C]14[/C][C]8.96357045459862[/C][C]5.03642954540138[/C][/ROW]
[ROW][C]249[/C][C]10[/C][C]10.2627939512649[/C][C]-0.26279395126485[/C][/ROW]
[ROW][C]250[/C][C]12[/C][C]11.6090382437595[/C][C]0.390961756240461[/C][/ROW]
[ROW][C]251[/C][C]15[/C][C]12.9570302328683[/C][C]2.04296976713175[/C][/ROW]
[ROW][C]252[/C][C]13[/C][C]11.8963150405457[/C][C]1.10368495945432[/C][/ROW]
[ROW][C]253[/C][C]13[/C][C]14.3340628665978[/C][C]-1.33406286659775[/C][/ROW]
[ROW][C]254[/C][C]13[/C][C]13.9837252749062[/C][C]-0.983725274906167[/C][/ROW]
[ROW][C]255[/C][C]12[/C][C]12.0196900287851[/C][C]-0.0196900287850523[/C][/ROW]
[ROW][C]256[/C][C]12[/C][C]12.924785950028[/C][C]-0.924785950028018[/C][/ROW]
[ROW][C]257[/C][C]9[/C][C]10.9815997213992[/C][C]-1.98159972139917[/C][/ROW]
[ROW][C]258[/C][C]9[/C][C]11.6531451794713[/C][C]-2.6531451794713[/C][/ROW]
[ROW][C]259[/C][C]15[/C][C]12.8082801785521[/C][C]2.19171982144787[/C][/ROW]
[ROW][C]260[/C][C]10[/C][C]14.8148782408812[/C][C]-4.81487824088119[/C][/ROW]
[ROW][C]261[/C][C]14[/C][C]13.9039248742578[/C][C]0.0960751257422043[/C][/ROW]
[ROW][C]262[/C][C]15[/C][C]13.7172898289908[/C][C]1.28271017100917[/C][/ROW]
[ROW][C]263[/C][C]7[/C][C]9.93742707142156[/C][C]-2.93742707142156[/C][/ROW]
[ROW][C]264[/C][C]14[/C][C]14.0322842464238[/C][C]-0.0322842464237909[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253697&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253697&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
11413.70272776795380.297272232046221
21815.02956948664882.97043051335122
31113.7778861456376-2.77788614563763
41214.1183453104521-2.11834531045213
51610.81883225787455.18116774212549
61814.10085408891343.89914591108657
71410.63463595683333.36536404316671
81414.7998079561536-0.799807956153551
91514.95164959836230.048350401637748
101514.06004821102120.939951788978816
111715.31402425414581.68597574585423
121915.48335899808523.51664100191484
131013.1899961470424-3.1899961470424
141613.30063733462892.69936266537109
151815.54412032398392.45587967601612
161413.14373137386430.856268626135717
171413.54318209487140.456817905128637
181715.6341167639891.365883236011
191415.312070670415-1.31207067041504
201613.61855235509942.38144764490064
211815.14743216770432.85256783229566
221113.4963187722649-2.49631877226494
231414.3827246318478-0.382724631847845
241213.4015079038249-1.40150790382489
251715.1813456205421.81865437945801
26915.7875207043101-6.78752070431008
271614.77621370145771.22378629854225
281413.0832837398740.916716260126018
291513.63372646345941.36627353654063
301113.7139687101498-2.71396871014982
311615.48145465395550.51854534604451
321312.27629022911510.723709770884888
331714.86700684180092.13299315819911
341515.0929388093125-0.0929388093124543
351413.66381365715940.336186342840597
361615.17317769383630.826822306163691
37910.3296840468942-1.32968404689425
381514.10387653677630.896123463223734
391715.10175188688871.89824811311129
401315.0494566080889-2.04945660808892
411515.5533509989246-0.553350998924624
421613.37418919835182.62581080164821
431615.92083230372730.0791676962727144
441212.9145599580245-0.914559958024543
451514.43241421417090.567585785829131
461113.3214462406336-2.32144624063363
471515.277774854148-0.277774854147996
481514.67798709180210.32201290819794
491713.24795429382643.75204570617358
501314.575392040673-1.57539204067296
511615.1042976455590.89570235444104
521413.17676916971590.823230830284092
531111.3498040468666-0.349804046866555
541213.6103701993922-1.61037019939222
551213.670630396643-1.67063039664299
561513.37065304873331.6293469512667
571614.07237375979621.92762624020383
581515.3334328886411-0.333432888641132
591215.0369243923188-3.03692439231883
601213.2013757984478-1.20137579844777
61810.3584699444765-2.35846994447646
621314.4574386450795-1.45743864507954
631114.499187874263-3.49918787426304
641412.87643662073471.12356337926533
651513.53689734611181.46310265388821
661015.0566528144774-5.0566528144774
671112.6140711086649-1.61407110866495
681214.3887997635054-2.38879976350535
691513.42644344662021.57355655337981
701513.56310177784371.43689822215627
711413.35619656921620.643803430783806
721612.59339382529243.40660617470765
731514.39486093672980.605139063270182
741515.3152209886422-0.315220988642181
751314.8887093078901-1.88870930789013
761212.0408339374277-0.0408339374276572
771713.99201909515263.00798090484737
781312.41410078369880.585899216301247
791513.63249773435541.36750226564458
801315.0473106779085-2.04731067790847
811514.83075578691240.169244213087634
821515.5442205325884-0.54422053258839
831614.24322667363251.75677332636749
841514.2157420468290.784257953170966
851414.0509639445364-0.0509639445364315
861513.91137506363781.08862493636223
871414.2634293860804-0.263429386080434
881312.72681162255180.273188377448191
89710.3911827438663-3.39118274386635
901713.57735887673583.42264112326421
911312.90827546941140.0917245305886256
921514.13747297337060.862527026629444
931413.18262492249380.817375077506246
941313.843987895739-0.843987895738973
951614.95421187873991.04578812126011
961212.8308910559861-0.830891055986099
971414.8207196334183-0.820719633418322
981714.92647686444942.07352313555064
991514.96386285155670.0361371484432978
1001715.21297053879511.78702946120494
1011212.9231322238566-0.923132223856568
1021615.12749470113940.872505298860647
1031114.4421460066719-3.44214600667191
1041513.00346146896231.99653853103767
105911.31342124984-2.31342124984003
1061615.00406219488750.995937805112461
1071512.9428020842832.05719791571695
1081012.8538338322188-2.85383383221875
109109.056116829440510.943883170559495
1101513.83210416393191.16789583606811
1111113.1635840551618-2.16358405516181
1121315.2804472041416-2.28044720414158
1131411.76942689167862.23057310832136
1141814.05040282443433.94959717556575
1151615.66590380325570.334096196744318
1161413.00298034345680.99701965654319
1171413.79901720240090.200982797599124
1181415.0748498732362-1.07484987323623
1191413.68684237161530.313157628384658
1201212.4954815232673-0.495481523267293
1211413.55299024985290.447009750147132
1221514.85704481108530.142955188914722
1231516.028205754014-1.02820575401403
1241514.6327728609110.367227139088993
1251314.7791750149129-1.77917501491286
1261716.20693435865280.793065641347153
1271715.41595336300291.58404663699705
1281914.93258582569724.0674141743028
1291513.52572194190741.47427805809257
1301314.6461286145476-1.6461286145476
131910.4098118448911-1.40981184489109
1321515.3239994007746-0.32399940077456
1331512.48758086883122.51241913116883
1341514.26432635742820.735673642571846
1351613.71957284262962.28042715737044
136119.269374386813731.73062561318627
1371413.38437689973170.615623100268285
1381111.8907486546392-0.890748654639161
1391514.15768940521280.84231059478716
1401313.6766608422973-0.676660842297309
1411514.70460220460720.295397795392775
1421613.73812360616932.26187639383067
1431414.7227264674626-0.722726467462591
1441514.28970124054620.710298759453813
1451614.51605353445931.48394646554068
1461614.57459374032391.42540625967606
1471113.4412975987145-2.44129759871451
1481214.7411159736163-2.74111597361633
149911.4328315040723-2.4328315040723
1501614.12242648918281.87757351081723
1511312.59256228140190.407437718598108
1521615.45982294362790.540177056372086
1531214.4538350412152-2.45383504121523
154911.5082538576142-2.50825385761424
1551311.60412708903831.3958729109617
1561312.90827546941140.0917245305886256
1571413.2532987728260.746701227173984
1581914.93258582569724.0674141743028
1591315.7284123715757-2.72841237157566
1601211.90254332208360.0974566779164383
1611312.57562652519760.424373474802357
162109.248677184424860.751322815575142
1631413.18381608227680.816183917723217
1641611.68340089398594.31659910601408
1651012.0045343642407-2.0045343642407
166118.966013619498552.03398638050145
1671414.2093371942062-0.209337194206189
1681212.844250337552-0.844250337552015
169912.7559450301432-3.75594503014321
170911.948837351728-2.94883735172798
1711110.55740996165240.442590038347644
1721614.40345957427531.59654042572466
173914.124841636962-5.12484163696205
1741311.22640294979221.77359705020781
1751613.48083446098392.5191655390161
1761315.3996743421093-2.39967434210932
177912.3863256239318-3.38632562393176
1781211.45806512756550.541934872434485
1791614.71232860356561.28767139643441
1801113.2022929489582-2.20229294895817
1811414.3692288651349-0.369228865134906
1821314.8199669923559-1.81996699235594
1831515.0130424176059-0.0130424176058683
1841415.1771987335337-1.17719873353372
1851614.00004189720831.99995810279169
1861311.72172148172931.27827851827073
1871413.72484197986230.275158020137723
1881514.26854087061790.731459129382128
1891312.44315400304910.556845996950944
1901110.22093537660780.779064623392219
1911112.6621984969577-1.66219849695766
1921415.2353279619689-1.23532796196886
1931512.7170587019812.28294129801904
1941112.7421674414267-1.74216744142668
1951513.21968054840821.78031945159178
1961214.2997992106741-2.29979921067406
1971411.84120087599132.15879912400871
1981413.56164271372920.438357286270806
199811.2261704969156-3.22617049691562
2001313.8798062733684-0.8798062733684
201912.3456652642706-3.34566526427064
2021513.84381514919481.15618485080523
2031714.11802312348382.88197687651624
2041312.76690728709520.233092712904763
2051514.60233053187780.397669468122229
2061513.92238367964251.07761632035752
2071414.7671578346949-0.76715783469492
2081612.77922722915143.22077277084857
2091313.0410047997657-0.0410047997657467
2101614.47214703411531.52785296588468
211911.8374758449538-2.83747584495381
2121614.77384418920761.22615581079241
2131112.3542830278579-1.35428302785793
2141013.9883733237212-3.98837332372117
2151112.3437976281645-1.34379762816446
2161513.46582408936941.53417591063057
2171715.13547903531921.86452096468083
2181414.4778342061112-0.477834206111229
219810.0118061256161-2.01180612561607
2201513.82624266117191.17375733882814
2211114.0879897141983-3.08798971419826
2221613.77896619208512.22103380791492
2231012.3106029907508-2.31060299075083
2241514.99121752920640.00878247079359597
22599.57096834486945-0.57096834486945
2261614.32530258968381.67469741031625
2271914.05238050048114.94761949951887
2281213.8122538104826-1.81225381048259
22989.54164325711857-1.54164325711857
2301113.5084967240193-2.50849672401933
2311413.97754489002680.022455109973216
232912.1637820876485-3.16378208764854
2331515.20075334751-0.200753347509993
2341312.80050614308170.199493856918321
2351615.13583001824340.864169981756642
2361112.9949994547665-1.99499945476654
2371211.31830299869890.681697001301111
2381313.1555583007782-0.155558300778223
2391014.6056007439859-4.60560074398594
2401113.7009604505846-2.70096045058461
2411214.9065750123025-2.90657501230253
242810.8942297149036-2.89422971490358
2431211.75748745213080.242512547869187
2441212.3978989350542-0.397898935054159
2451513.79832032257661.20167967742344
2461110.77252432914560.227475670854398
2471312.94031008953840.0596899104615773
248148.963570454598625.03642954540138
2491010.2627939512649-0.26279395126485
2501211.60903824375950.390961756240461
2511512.95703023286832.04296976713175
2521311.89631504054571.10368495945432
2531314.3340628665978-1.33406286659775
2541313.9837252749062-0.983725274906167
2551212.0196900287851-0.0196900287850523
2561212.924785950028-0.924785950028018
257910.9815997213992-1.98159972139917
258911.6531451794713-2.6531451794713
2591512.80828017855212.19171982144787
2601014.8148782408812-4.81487824088119
2611413.90392487425780.0960751257422043
2621513.71728982899081.28271017100917
26379.93742707142156-2.93742707142156
2641414.0322842464238-0.0322842464237909






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.02376387491264080.04752774982528160.976236125087359
120.7080316718777060.5839366562445870.291968328122294
130.963511916928360.07297616614327980.0364880830716399
140.9378686851629410.1242626296741180.062131314837059
150.9413668027250380.1172663945499240.0586331972749619
160.9103875035096880.1792249929806240.0896124964903118
170.9472942189716330.1054115620567350.0527057810283673
180.9201543268934570.1596913462130870.0798456731065434
190.8845906092839660.2308187814320680.115409390716034
200.8818691309831220.2362617380337550.118130869016878
210.9125366602403470.1749266795193060.0874633397596528
220.9102156218930060.1795687562139890.0897843781069943
230.9112363957536250.177527208492750.0887636042463748
240.8820264129587780.2359471740824440.117973587041222
250.8586874599598120.2826250800803760.141312540040188
260.9988702631685470.002259473662905650.00112973683145282
270.9982221041106660.00355579177866730.00177789588933365
280.9971996872889280.005600625422144790.0028003127110724
290.9957488409347770.008502318130446740.00425115906522337
300.9970730836405780.005853832718844790.00292691635942239
310.9955891117714220.008821776457156930.00441088822857846
320.9936885026156660.01262299476866870.00631149738433433
330.9924190312786560.01516193744268850.00758096872134424
340.9890870290509930.02182594189801370.0109129709490068
350.9865862736129770.02682745277404610.0134137263870231
360.9814972598371250.03700548032574940.0185027401628747
370.9873632944747030.0252734110505940.012636705525297
380.9826663199709470.03466736005810620.0173336800290531
390.9802170946642860.03956581067142830.0197829053357141
400.980552291689650.03889541662070020.0194477083103501
410.9745828960853870.05083420782922540.0254171039146127
420.9721593067655280.05568138646894460.0278406932344723
430.9634654039844290.07306919203114140.0365345960155707
440.9570869381184040.08582612376319130.0429130618815957
450.9450353182254510.1099293635490980.0549646817745488
460.9543995699407230.09120086011855330.0456004300592766
470.9420329798233330.1159340403533340.0579670201766668
480.9270449717579580.1459100564840840.072955028242042
490.938398685673390.123202628653220.0616013143266099
500.934468903953650.13106219209270.06553109604635
510.9202801279562260.1594397440875480.0797198720437739
520.9026592673327370.1946814653345250.0973407326672627
530.8886248534765560.2227502930468890.111375146523444
540.8715876030175480.2568247939649050.128412396982452
550.8642655842084920.2714688315830150.135734415791508
560.845750628302150.3084987433956990.15424937169785
570.8322903803505510.3354192392988980.167709619649449
580.8033556672587850.393288665482430.196644332741215
590.84584700015990.30830599968020.1541529998401
600.8414214695964270.3171570608071450.158578530403572
610.8598500333946030.2802999332107940.140149966605397
620.8586833467229540.2826333065540910.141316653277046
630.9096446192918830.1807107614162340.090355380708117
640.8968399509093920.2063200981812160.103160049090608
650.8865058268072350.2269883463855290.113494173192765
660.9590204746534790.08195905069304260.0409795253465213
670.9574919714524110.08501605709517690.0425080285475884
680.9627469638762970.07450607224740620.0372530361237031
690.9577312225680790.08453755486384250.0422687774319212
700.9514005691102270.09719886177954640.0485994308897732
710.9409280766738350.1181438466523290.0590719233261646
720.9542298592850150.09154028142997040.0457701407149852
730.944185236050260.1116295278994790.0558147639497397
740.9330715371181490.1338569257637020.0669284628818511
750.9281346714797130.1437306570405740.0718653285202868
760.9144228242552010.1711543514895980.0855771757447992
770.9264444725802130.1471110548395740.0735555274197872
780.9125921606327840.1748156787344320.087407839367216
790.9037940405445490.1924119189109020.0962059594554511
800.8968521194863210.2062957610273590.103147880513679
810.8784247374294330.2431505251411340.121575262570567
820.8587900136023580.2824199727952830.141209986397642
830.8510202481800910.2979595036398190.148979751819909
840.8303485209441860.3393029581116270.169651479055814
850.8048463427685590.3903073144628820.195153657231441
860.7811720344361210.4376559311277580.218827965563879
870.7524248253183960.4951503493632080.247575174681604
880.7215571591026070.5568856817947860.278442840897393
890.7952704168900410.4094591662199180.204729583109959
900.8293273235080850.3413453529838310.170672676491915
910.8047681599980590.3904636800038830.195231840001941
920.7811733637524280.4376532724951450.218826636247572
930.7575014451243070.4849971097513850.242498554875693
940.7324820453804640.5350359092390710.267517954619536
950.7059355433151970.5881289133696070.294064456684803
960.6801755425693810.6396489148612370.319824457430619
970.652324869318850.69535026136230.34767513068115
980.6508493178144680.6983013643710640.349150682185532
990.6168325304439410.7663349391121180.383167469556059
1000.6069490037186530.7861019925626940.393050996281347
1010.5824509467840290.8350981064319410.417549053215971
1020.5528455794092440.8943088411815130.447154420590756
1030.6011349182093330.7977301635813350.398865081790667
1040.5899771187434220.8200457625131570.410022881256579
1050.6052701580040730.7894596839918540.394729841995927
1060.5778373662458670.8443252675082660.422162633754133
1070.5701487197734180.8597025604531640.429851280226582
1080.610509531714740.7789809365705210.38949046828526
1090.5829094746685610.8341810506628780.417090525331439
1100.5573263069893850.8853473860212310.442673693010615
1110.5622759617704070.8754480764591860.437724038229593
1120.5909655757913410.8180688484173180.409034424208659
1130.5886919447435080.8226161105129840.411308055256492
1140.6778242717648610.6443514564702770.322175728235138
1150.6467554299484550.706489140103090.353244570051545
1160.6221724496611090.7556551006777820.377827550338891
1170.5891821709295180.8216356581409650.410817829070482
1180.5653146637510510.8693706724978970.434685336248949
1190.5312638595572610.9374722808854780.468736140442739
1200.5001021340155270.9997957319689470.499897865984473
1210.4695037486030610.9390074972061210.530496251396939
1220.4388811019873920.8777622039747840.561118898012608
1230.4122991019651750.824598203930350.587700898034825
1240.3799103323081490.7598206646162980.620089667691851
1250.3686919677959450.737383935591890.631308032204055
1260.3397040463668670.6794080927337350.660295953633133
1270.3270228286033860.6540456572067720.672977171396614
1280.4299738098885210.8599476197770410.570026190111479
1290.413345353484460.8266907069689210.58665464651554
1300.4021804858322080.8043609716644170.597819514167792
1310.3866446916863670.7732893833727330.613355308313633
1320.3593145985954560.7186291971909120.640685401404544
1330.380090323693930.7601806473878610.61990967630607
1340.3532285024613030.7064570049226070.646771497538697
1350.3648879146916470.7297758293832940.635112085308353
1360.3543942832590250.7087885665180490.645605716740975
1370.3252985027594240.6505970055188490.674701497240576
1380.3012694251422820.6025388502845640.698730574857718
1390.2758016816336950.5516033632673890.724198318366305
1400.2525556201058690.5051112402117380.747444379894131
1410.2255964165387750.4511928330775510.774403583461225
1420.2313564286950040.4627128573900080.768643571304996
1430.2067718582772440.4135437165544880.793228141722756
1440.1861373778476340.3722747556952680.813862622152366
1450.1743181654163950.3486363308327910.825681834583605
1460.1665820086986920.3331640173973830.833417991301308
1470.1750264272422680.3500528544845350.824973572757732
1480.1912850076556260.3825700153112520.808714992344374
1490.2076545125378010.4153090250756020.792345487462199
1500.2085832065266090.4171664130532180.791416793473391
1510.1881788384813720.3763576769627450.811821161518628
1520.1691640156849110.3383280313698230.830835984315089
1530.1828903245591120.3657806491182240.817109675440888
1540.198150661701540.396301323403080.80184933829846
1550.1840271960091710.3680543920183420.815972803990829
1560.1612059074504420.3224118149008840.838794092549558
1570.14364933309070.28729866618140.8563506669093
1580.2254856697987880.4509713395975770.774514330201212
1590.2434830012354880.4869660024709770.756516998764512
1600.2229369473958720.4458738947917440.777063052604128
1610.2000007582854210.4000015165708430.799999241714579
1620.1768746977598940.3537493955197870.823125302240106
1630.1564517537069170.3129035074138330.843548246293083
1640.2624301006826660.5248602013653320.737569899317334
1650.2589806769637630.5179613539275250.741019323036237
1660.2550423514734810.5100847029469620.744957648526519
1670.2267772819796380.4535545639592750.773222718020362
1680.2047668084698860.4095336169397720.795233191530114
1690.2614986812125580.5229973624251160.738501318787442
1700.2863571042296320.5727142084592640.713642895770368
1710.2587920469751640.5175840939503280.741207953024836
1720.2538221287061630.5076442574123270.746177871293837
1730.4188971187807870.8377942375615740.581102881219213
1740.40493794209860.80987588419720.5950620579014
1750.4274318738002520.8548637476005040.572568126199748
1760.4366315132890140.8732630265780280.563368486710986
1770.4946636490933250.989327298186650.505336350906675
1780.4610640554429210.9221281108858420.538935944557079
1790.4383905801924140.8767811603848270.561609419807586
1800.4378381078229790.8756762156459580.562161892177021
1810.4005406853273010.8010813706546030.599459314672699
1820.3935009663362810.7870019326725630.606499033663719
1830.3564622869590040.7129245739180070.643537713040996
1840.3297881187921060.6595762375842120.670211881207894
1850.344976730211750.6899534604234990.65502326978825
1860.3375439304671850.6750878609343710.662456069532815
1870.3034825190067410.6069650380134810.696517480993259
1880.2765391432241990.5530782864483980.723460856775801
1890.2458084552626720.4916169105253440.754191544737328
1900.2232753314982030.4465506629964060.776724668501797
1910.2271321340797330.4542642681594670.772867865920267
1920.2090273012751040.4180546025502070.790972698724896
1930.226938824437740.4538776488754810.77306117556226
1940.2150453328546390.4300906657092780.784954667145361
1950.2144764642924540.4289529285849090.785523535707546
1960.2258494226202730.4516988452405470.774150577379727
1970.2729703722132250.545940744426450.727029627786775
1980.2547460233585840.5094920467171690.745253976641416
1990.2882645720863390.5765291441726780.711735427913661
2000.2553838601354780.5107677202709570.744616139864522
2010.2929840428058140.5859680856116280.707015957194186
2020.2713838497193830.5427676994387650.728616150280617
2030.3331418597826960.6662837195653920.666858140217304
2040.2971824046214450.594364809242890.702817595378555
2050.2630037235299760.5260074470599510.736996276470024
2060.2415648801610880.4831297603221770.758435119838912
2070.210192712922040.420385425844080.78980728707796
2080.2297279570655270.4594559141310530.770272042934473
2090.1978218589797810.3956437179595610.802178141020219
2100.2145419787739470.4290839575478950.785458021226053
2110.2425619820990160.4851239641980320.757438017900984
2120.2267583105897440.4535166211794880.773241689410256
2130.1993289884888540.3986579769777080.800671011511146
2140.2489149105669750.4978298211339510.751085089433025
2150.2214953742474520.4429907484949040.778504625752548
2160.2081715005379930.4163430010759860.791828499462007
2170.241196622850630.482393245701260.75880337714937
2180.2105090145294930.4210180290589870.789490985470507
2190.1964943610737070.3929887221474140.803505638926293
2200.2040386115070520.4080772230141050.795961388492948
2210.2122162155492440.4244324310984870.787783784450756
2220.2133140226163850.4266280452327710.786685977383615
2230.1972153627921150.394430725584230.802784637207885
2240.1651670245528630.3303340491057260.834832975447137
2250.1495246973519570.2990493947039130.850475302648043
2260.1784143124046180.3568286248092360.821585687595382
2270.3705847446100520.7411694892201040.629415255389948
2280.3471796404611320.6943592809222640.652820359538868
2290.3201211768522730.6402423537045460.679878823147727
2300.3049175554976140.6098351109952290.695082444502386
2310.2622560084292840.5245120168585670.737743991570716
2320.301634071407960.603268142815920.69836592859204
2330.2569107036217740.5138214072435470.743089296378226
2340.2151005420212740.4302010840425470.784899457978727
2350.2143202422081380.4286404844162760.785679757791862
2360.1900263331689520.3800526663379030.809973666831048
2370.1591396516991830.3182793033983650.840860348300817
2380.124004911954720.2480098239094390.87599508804528
2390.2410433606853120.4820867213706230.758956639314688
2400.236471546758560.4729430935171210.76352845324144
2410.204348360901620.408696721803240.79565163909838
2420.404087330726960.8081746614539190.59591266927304
2430.3599307492321160.7198614984642330.640069250767884
2440.3000403375400590.6000806750801190.699959662459941
2450.4298416861442860.8596833722885710.570158313855714
2460.3450923256150520.6901846512301050.654907674384948
2470.2679697955745330.5359395911490650.732030204425467
2480.4118682092053840.8237364184107670.588131790794616
2490.3188828786813250.637765757362650.681117121318675
2500.2306012739570320.4612025479140650.769398726042968
2510.3562279728011320.7124559456022640.643772027198868
2520.8726877038393010.2546245923213980.127312296160699
2530.7503207608500710.4993584782998580.249679239149929

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
11 & 0.0237638749126408 & 0.0475277498252816 & 0.976236125087359 \tabularnewline
12 & 0.708031671877706 & 0.583936656244587 & 0.291968328122294 \tabularnewline
13 & 0.96351191692836 & 0.0729761661432798 & 0.0364880830716399 \tabularnewline
14 & 0.937868685162941 & 0.124262629674118 & 0.062131314837059 \tabularnewline
15 & 0.941366802725038 & 0.117266394549924 & 0.0586331972749619 \tabularnewline
16 & 0.910387503509688 & 0.179224992980624 & 0.0896124964903118 \tabularnewline
17 & 0.947294218971633 & 0.105411562056735 & 0.0527057810283673 \tabularnewline
18 & 0.920154326893457 & 0.159691346213087 & 0.0798456731065434 \tabularnewline
19 & 0.884590609283966 & 0.230818781432068 & 0.115409390716034 \tabularnewline
20 & 0.881869130983122 & 0.236261738033755 & 0.118130869016878 \tabularnewline
21 & 0.912536660240347 & 0.174926679519306 & 0.0874633397596528 \tabularnewline
22 & 0.910215621893006 & 0.179568756213989 & 0.0897843781069943 \tabularnewline
23 & 0.911236395753625 & 0.17752720849275 & 0.0887636042463748 \tabularnewline
24 & 0.882026412958778 & 0.235947174082444 & 0.117973587041222 \tabularnewline
25 & 0.858687459959812 & 0.282625080080376 & 0.141312540040188 \tabularnewline
26 & 0.998870263168547 & 0.00225947366290565 & 0.00112973683145282 \tabularnewline
27 & 0.998222104110666 & 0.0035557917786673 & 0.00177789588933365 \tabularnewline
28 & 0.997199687288928 & 0.00560062542214479 & 0.0028003127110724 \tabularnewline
29 & 0.995748840934777 & 0.00850231813044674 & 0.00425115906522337 \tabularnewline
30 & 0.997073083640578 & 0.00585383271884479 & 0.00292691635942239 \tabularnewline
31 & 0.995589111771422 & 0.00882177645715693 & 0.00441088822857846 \tabularnewline
32 & 0.993688502615666 & 0.0126229947686687 & 0.00631149738433433 \tabularnewline
33 & 0.992419031278656 & 0.0151619374426885 & 0.00758096872134424 \tabularnewline
34 & 0.989087029050993 & 0.0218259418980137 & 0.0109129709490068 \tabularnewline
35 & 0.986586273612977 & 0.0268274527740461 & 0.0134137263870231 \tabularnewline
36 & 0.981497259837125 & 0.0370054803257494 & 0.0185027401628747 \tabularnewline
37 & 0.987363294474703 & 0.025273411050594 & 0.012636705525297 \tabularnewline
38 & 0.982666319970947 & 0.0346673600581062 & 0.0173336800290531 \tabularnewline
39 & 0.980217094664286 & 0.0395658106714283 & 0.0197829053357141 \tabularnewline
40 & 0.98055229168965 & 0.0388954166207002 & 0.0194477083103501 \tabularnewline
41 & 0.974582896085387 & 0.0508342078292254 & 0.0254171039146127 \tabularnewline
42 & 0.972159306765528 & 0.0556813864689446 & 0.0278406932344723 \tabularnewline
43 & 0.963465403984429 & 0.0730691920311414 & 0.0365345960155707 \tabularnewline
44 & 0.957086938118404 & 0.0858261237631913 & 0.0429130618815957 \tabularnewline
45 & 0.945035318225451 & 0.109929363549098 & 0.0549646817745488 \tabularnewline
46 & 0.954399569940723 & 0.0912008601185533 & 0.0456004300592766 \tabularnewline
47 & 0.942032979823333 & 0.115934040353334 & 0.0579670201766668 \tabularnewline
48 & 0.927044971757958 & 0.145910056484084 & 0.072955028242042 \tabularnewline
49 & 0.93839868567339 & 0.12320262865322 & 0.0616013143266099 \tabularnewline
50 & 0.93446890395365 & 0.1310621920927 & 0.06553109604635 \tabularnewline
51 & 0.920280127956226 & 0.159439744087548 & 0.0797198720437739 \tabularnewline
52 & 0.902659267332737 & 0.194681465334525 & 0.0973407326672627 \tabularnewline
53 & 0.888624853476556 & 0.222750293046889 & 0.111375146523444 \tabularnewline
54 & 0.871587603017548 & 0.256824793964905 & 0.128412396982452 \tabularnewline
55 & 0.864265584208492 & 0.271468831583015 & 0.135734415791508 \tabularnewline
56 & 0.84575062830215 & 0.308498743395699 & 0.15424937169785 \tabularnewline
57 & 0.832290380350551 & 0.335419239298898 & 0.167709619649449 \tabularnewline
58 & 0.803355667258785 & 0.39328866548243 & 0.196644332741215 \tabularnewline
59 & 0.8458470001599 & 0.3083059996802 & 0.1541529998401 \tabularnewline
60 & 0.841421469596427 & 0.317157060807145 & 0.158578530403572 \tabularnewline
61 & 0.859850033394603 & 0.280299933210794 & 0.140149966605397 \tabularnewline
62 & 0.858683346722954 & 0.282633306554091 & 0.141316653277046 \tabularnewline
63 & 0.909644619291883 & 0.180710761416234 & 0.090355380708117 \tabularnewline
64 & 0.896839950909392 & 0.206320098181216 & 0.103160049090608 \tabularnewline
65 & 0.886505826807235 & 0.226988346385529 & 0.113494173192765 \tabularnewline
66 & 0.959020474653479 & 0.0819590506930426 & 0.0409795253465213 \tabularnewline
67 & 0.957491971452411 & 0.0850160570951769 & 0.0425080285475884 \tabularnewline
68 & 0.962746963876297 & 0.0745060722474062 & 0.0372530361237031 \tabularnewline
69 & 0.957731222568079 & 0.0845375548638425 & 0.0422687774319212 \tabularnewline
70 & 0.951400569110227 & 0.0971988617795464 & 0.0485994308897732 \tabularnewline
71 & 0.940928076673835 & 0.118143846652329 & 0.0590719233261646 \tabularnewline
72 & 0.954229859285015 & 0.0915402814299704 & 0.0457701407149852 \tabularnewline
73 & 0.94418523605026 & 0.111629527899479 & 0.0558147639497397 \tabularnewline
74 & 0.933071537118149 & 0.133856925763702 & 0.0669284628818511 \tabularnewline
75 & 0.928134671479713 & 0.143730657040574 & 0.0718653285202868 \tabularnewline
76 & 0.914422824255201 & 0.171154351489598 & 0.0855771757447992 \tabularnewline
77 & 0.926444472580213 & 0.147111054839574 & 0.0735555274197872 \tabularnewline
78 & 0.912592160632784 & 0.174815678734432 & 0.087407839367216 \tabularnewline
79 & 0.903794040544549 & 0.192411918910902 & 0.0962059594554511 \tabularnewline
80 & 0.896852119486321 & 0.206295761027359 & 0.103147880513679 \tabularnewline
81 & 0.878424737429433 & 0.243150525141134 & 0.121575262570567 \tabularnewline
82 & 0.858790013602358 & 0.282419972795283 & 0.141209986397642 \tabularnewline
83 & 0.851020248180091 & 0.297959503639819 & 0.148979751819909 \tabularnewline
84 & 0.830348520944186 & 0.339302958111627 & 0.169651479055814 \tabularnewline
85 & 0.804846342768559 & 0.390307314462882 & 0.195153657231441 \tabularnewline
86 & 0.781172034436121 & 0.437655931127758 & 0.218827965563879 \tabularnewline
87 & 0.752424825318396 & 0.495150349363208 & 0.247575174681604 \tabularnewline
88 & 0.721557159102607 & 0.556885681794786 & 0.278442840897393 \tabularnewline
89 & 0.795270416890041 & 0.409459166219918 & 0.204729583109959 \tabularnewline
90 & 0.829327323508085 & 0.341345352983831 & 0.170672676491915 \tabularnewline
91 & 0.804768159998059 & 0.390463680003883 & 0.195231840001941 \tabularnewline
92 & 0.781173363752428 & 0.437653272495145 & 0.218826636247572 \tabularnewline
93 & 0.757501445124307 & 0.484997109751385 & 0.242498554875693 \tabularnewline
94 & 0.732482045380464 & 0.535035909239071 & 0.267517954619536 \tabularnewline
95 & 0.705935543315197 & 0.588128913369607 & 0.294064456684803 \tabularnewline
96 & 0.680175542569381 & 0.639648914861237 & 0.319824457430619 \tabularnewline
97 & 0.65232486931885 & 0.6953502613623 & 0.34767513068115 \tabularnewline
98 & 0.650849317814468 & 0.698301364371064 & 0.349150682185532 \tabularnewline
99 & 0.616832530443941 & 0.766334939112118 & 0.383167469556059 \tabularnewline
100 & 0.606949003718653 & 0.786101992562694 & 0.393050996281347 \tabularnewline
101 & 0.582450946784029 & 0.835098106431941 & 0.417549053215971 \tabularnewline
102 & 0.552845579409244 & 0.894308841181513 & 0.447154420590756 \tabularnewline
103 & 0.601134918209333 & 0.797730163581335 & 0.398865081790667 \tabularnewline
104 & 0.589977118743422 & 0.820045762513157 & 0.410022881256579 \tabularnewline
105 & 0.605270158004073 & 0.789459683991854 & 0.394729841995927 \tabularnewline
106 & 0.577837366245867 & 0.844325267508266 & 0.422162633754133 \tabularnewline
107 & 0.570148719773418 & 0.859702560453164 & 0.429851280226582 \tabularnewline
108 & 0.61050953171474 & 0.778980936570521 & 0.38949046828526 \tabularnewline
109 & 0.582909474668561 & 0.834181050662878 & 0.417090525331439 \tabularnewline
110 & 0.557326306989385 & 0.885347386021231 & 0.442673693010615 \tabularnewline
111 & 0.562275961770407 & 0.875448076459186 & 0.437724038229593 \tabularnewline
112 & 0.590965575791341 & 0.818068848417318 & 0.409034424208659 \tabularnewline
113 & 0.588691944743508 & 0.822616110512984 & 0.411308055256492 \tabularnewline
114 & 0.677824271764861 & 0.644351456470277 & 0.322175728235138 \tabularnewline
115 & 0.646755429948455 & 0.70648914010309 & 0.353244570051545 \tabularnewline
116 & 0.622172449661109 & 0.755655100677782 & 0.377827550338891 \tabularnewline
117 & 0.589182170929518 & 0.821635658140965 & 0.410817829070482 \tabularnewline
118 & 0.565314663751051 & 0.869370672497897 & 0.434685336248949 \tabularnewline
119 & 0.531263859557261 & 0.937472280885478 & 0.468736140442739 \tabularnewline
120 & 0.500102134015527 & 0.999795731968947 & 0.499897865984473 \tabularnewline
121 & 0.469503748603061 & 0.939007497206121 & 0.530496251396939 \tabularnewline
122 & 0.438881101987392 & 0.877762203974784 & 0.561118898012608 \tabularnewline
123 & 0.412299101965175 & 0.82459820393035 & 0.587700898034825 \tabularnewline
124 & 0.379910332308149 & 0.759820664616298 & 0.620089667691851 \tabularnewline
125 & 0.368691967795945 & 0.73738393559189 & 0.631308032204055 \tabularnewline
126 & 0.339704046366867 & 0.679408092733735 & 0.660295953633133 \tabularnewline
127 & 0.327022828603386 & 0.654045657206772 & 0.672977171396614 \tabularnewline
128 & 0.429973809888521 & 0.859947619777041 & 0.570026190111479 \tabularnewline
129 & 0.41334535348446 & 0.826690706968921 & 0.58665464651554 \tabularnewline
130 & 0.402180485832208 & 0.804360971664417 & 0.597819514167792 \tabularnewline
131 & 0.386644691686367 & 0.773289383372733 & 0.613355308313633 \tabularnewline
132 & 0.359314598595456 & 0.718629197190912 & 0.640685401404544 \tabularnewline
133 & 0.38009032369393 & 0.760180647387861 & 0.61990967630607 \tabularnewline
134 & 0.353228502461303 & 0.706457004922607 & 0.646771497538697 \tabularnewline
135 & 0.364887914691647 & 0.729775829383294 & 0.635112085308353 \tabularnewline
136 & 0.354394283259025 & 0.708788566518049 & 0.645605716740975 \tabularnewline
137 & 0.325298502759424 & 0.650597005518849 & 0.674701497240576 \tabularnewline
138 & 0.301269425142282 & 0.602538850284564 & 0.698730574857718 \tabularnewline
139 & 0.275801681633695 & 0.551603363267389 & 0.724198318366305 \tabularnewline
140 & 0.252555620105869 & 0.505111240211738 & 0.747444379894131 \tabularnewline
141 & 0.225596416538775 & 0.451192833077551 & 0.774403583461225 \tabularnewline
142 & 0.231356428695004 & 0.462712857390008 & 0.768643571304996 \tabularnewline
143 & 0.206771858277244 & 0.413543716554488 & 0.793228141722756 \tabularnewline
144 & 0.186137377847634 & 0.372274755695268 & 0.813862622152366 \tabularnewline
145 & 0.174318165416395 & 0.348636330832791 & 0.825681834583605 \tabularnewline
146 & 0.166582008698692 & 0.333164017397383 & 0.833417991301308 \tabularnewline
147 & 0.175026427242268 & 0.350052854484535 & 0.824973572757732 \tabularnewline
148 & 0.191285007655626 & 0.382570015311252 & 0.808714992344374 \tabularnewline
149 & 0.207654512537801 & 0.415309025075602 & 0.792345487462199 \tabularnewline
150 & 0.208583206526609 & 0.417166413053218 & 0.791416793473391 \tabularnewline
151 & 0.188178838481372 & 0.376357676962745 & 0.811821161518628 \tabularnewline
152 & 0.169164015684911 & 0.338328031369823 & 0.830835984315089 \tabularnewline
153 & 0.182890324559112 & 0.365780649118224 & 0.817109675440888 \tabularnewline
154 & 0.19815066170154 & 0.39630132340308 & 0.80184933829846 \tabularnewline
155 & 0.184027196009171 & 0.368054392018342 & 0.815972803990829 \tabularnewline
156 & 0.161205907450442 & 0.322411814900884 & 0.838794092549558 \tabularnewline
157 & 0.1436493330907 & 0.2872986661814 & 0.8563506669093 \tabularnewline
158 & 0.225485669798788 & 0.450971339597577 & 0.774514330201212 \tabularnewline
159 & 0.243483001235488 & 0.486966002470977 & 0.756516998764512 \tabularnewline
160 & 0.222936947395872 & 0.445873894791744 & 0.777063052604128 \tabularnewline
161 & 0.200000758285421 & 0.400001516570843 & 0.799999241714579 \tabularnewline
162 & 0.176874697759894 & 0.353749395519787 & 0.823125302240106 \tabularnewline
163 & 0.156451753706917 & 0.312903507413833 & 0.843548246293083 \tabularnewline
164 & 0.262430100682666 & 0.524860201365332 & 0.737569899317334 \tabularnewline
165 & 0.258980676963763 & 0.517961353927525 & 0.741019323036237 \tabularnewline
166 & 0.255042351473481 & 0.510084702946962 & 0.744957648526519 \tabularnewline
167 & 0.226777281979638 & 0.453554563959275 & 0.773222718020362 \tabularnewline
168 & 0.204766808469886 & 0.409533616939772 & 0.795233191530114 \tabularnewline
169 & 0.261498681212558 & 0.522997362425116 & 0.738501318787442 \tabularnewline
170 & 0.286357104229632 & 0.572714208459264 & 0.713642895770368 \tabularnewline
171 & 0.258792046975164 & 0.517584093950328 & 0.741207953024836 \tabularnewline
172 & 0.253822128706163 & 0.507644257412327 & 0.746177871293837 \tabularnewline
173 & 0.418897118780787 & 0.837794237561574 & 0.581102881219213 \tabularnewline
174 & 0.4049379420986 & 0.8098758841972 & 0.5950620579014 \tabularnewline
175 & 0.427431873800252 & 0.854863747600504 & 0.572568126199748 \tabularnewline
176 & 0.436631513289014 & 0.873263026578028 & 0.563368486710986 \tabularnewline
177 & 0.494663649093325 & 0.98932729818665 & 0.505336350906675 \tabularnewline
178 & 0.461064055442921 & 0.922128110885842 & 0.538935944557079 \tabularnewline
179 & 0.438390580192414 & 0.876781160384827 & 0.561609419807586 \tabularnewline
180 & 0.437838107822979 & 0.875676215645958 & 0.562161892177021 \tabularnewline
181 & 0.400540685327301 & 0.801081370654603 & 0.599459314672699 \tabularnewline
182 & 0.393500966336281 & 0.787001932672563 & 0.606499033663719 \tabularnewline
183 & 0.356462286959004 & 0.712924573918007 & 0.643537713040996 \tabularnewline
184 & 0.329788118792106 & 0.659576237584212 & 0.670211881207894 \tabularnewline
185 & 0.34497673021175 & 0.689953460423499 & 0.65502326978825 \tabularnewline
186 & 0.337543930467185 & 0.675087860934371 & 0.662456069532815 \tabularnewline
187 & 0.303482519006741 & 0.606965038013481 & 0.696517480993259 \tabularnewline
188 & 0.276539143224199 & 0.553078286448398 & 0.723460856775801 \tabularnewline
189 & 0.245808455262672 & 0.491616910525344 & 0.754191544737328 \tabularnewline
190 & 0.223275331498203 & 0.446550662996406 & 0.776724668501797 \tabularnewline
191 & 0.227132134079733 & 0.454264268159467 & 0.772867865920267 \tabularnewline
192 & 0.209027301275104 & 0.418054602550207 & 0.790972698724896 \tabularnewline
193 & 0.22693882443774 & 0.453877648875481 & 0.77306117556226 \tabularnewline
194 & 0.215045332854639 & 0.430090665709278 & 0.784954667145361 \tabularnewline
195 & 0.214476464292454 & 0.428952928584909 & 0.785523535707546 \tabularnewline
196 & 0.225849422620273 & 0.451698845240547 & 0.774150577379727 \tabularnewline
197 & 0.272970372213225 & 0.54594074442645 & 0.727029627786775 \tabularnewline
198 & 0.254746023358584 & 0.509492046717169 & 0.745253976641416 \tabularnewline
199 & 0.288264572086339 & 0.576529144172678 & 0.711735427913661 \tabularnewline
200 & 0.255383860135478 & 0.510767720270957 & 0.744616139864522 \tabularnewline
201 & 0.292984042805814 & 0.585968085611628 & 0.707015957194186 \tabularnewline
202 & 0.271383849719383 & 0.542767699438765 & 0.728616150280617 \tabularnewline
203 & 0.333141859782696 & 0.666283719565392 & 0.666858140217304 \tabularnewline
204 & 0.297182404621445 & 0.59436480924289 & 0.702817595378555 \tabularnewline
205 & 0.263003723529976 & 0.526007447059951 & 0.736996276470024 \tabularnewline
206 & 0.241564880161088 & 0.483129760322177 & 0.758435119838912 \tabularnewline
207 & 0.21019271292204 & 0.42038542584408 & 0.78980728707796 \tabularnewline
208 & 0.229727957065527 & 0.459455914131053 & 0.770272042934473 \tabularnewline
209 & 0.197821858979781 & 0.395643717959561 & 0.802178141020219 \tabularnewline
210 & 0.214541978773947 & 0.429083957547895 & 0.785458021226053 \tabularnewline
211 & 0.242561982099016 & 0.485123964198032 & 0.757438017900984 \tabularnewline
212 & 0.226758310589744 & 0.453516621179488 & 0.773241689410256 \tabularnewline
213 & 0.199328988488854 & 0.398657976977708 & 0.800671011511146 \tabularnewline
214 & 0.248914910566975 & 0.497829821133951 & 0.751085089433025 \tabularnewline
215 & 0.221495374247452 & 0.442990748494904 & 0.778504625752548 \tabularnewline
216 & 0.208171500537993 & 0.416343001075986 & 0.791828499462007 \tabularnewline
217 & 0.24119662285063 & 0.48239324570126 & 0.75880337714937 \tabularnewline
218 & 0.210509014529493 & 0.421018029058987 & 0.789490985470507 \tabularnewline
219 & 0.196494361073707 & 0.392988722147414 & 0.803505638926293 \tabularnewline
220 & 0.204038611507052 & 0.408077223014105 & 0.795961388492948 \tabularnewline
221 & 0.212216215549244 & 0.424432431098487 & 0.787783784450756 \tabularnewline
222 & 0.213314022616385 & 0.426628045232771 & 0.786685977383615 \tabularnewline
223 & 0.197215362792115 & 0.39443072558423 & 0.802784637207885 \tabularnewline
224 & 0.165167024552863 & 0.330334049105726 & 0.834832975447137 \tabularnewline
225 & 0.149524697351957 & 0.299049394703913 & 0.850475302648043 \tabularnewline
226 & 0.178414312404618 & 0.356828624809236 & 0.821585687595382 \tabularnewline
227 & 0.370584744610052 & 0.741169489220104 & 0.629415255389948 \tabularnewline
228 & 0.347179640461132 & 0.694359280922264 & 0.652820359538868 \tabularnewline
229 & 0.320121176852273 & 0.640242353704546 & 0.679878823147727 \tabularnewline
230 & 0.304917555497614 & 0.609835110995229 & 0.695082444502386 \tabularnewline
231 & 0.262256008429284 & 0.524512016858567 & 0.737743991570716 \tabularnewline
232 & 0.30163407140796 & 0.60326814281592 & 0.69836592859204 \tabularnewline
233 & 0.256910703621774 & 0.513821407243547 & 0.743089296378226 \tabularnewline
234 & 0.215100542021274 & 0.430201084042547 & 0.784899457978727 \tabularnewline
235 & 0.214320242208138 & 0.428640484416276 & 0.785679757791862 \tabularnewline
236 & 0.190026333168952 & 0.380052666337903 & 0.809973666831048 \tabularnewline
237 & 0.159139651699183 & 0.318279303398365 & 0.840860348300817 \tabularnewline
238 & 0.12400491195472 & 0.248009823909439 & 0.87599508804528 \tabularnewline
239 & 0.241043360685312 & 0.482086721370623 & 0.758956639314688 \tabularnewline
240 & 0.23647154675856 & 0.472943093517121 & 0.76352845324144 \tabularnewline
241 & 0.20434836090162 & 0.40869672180324 & 0.79565163909838 \tabularnewline
242 & 0.40408733072696 & 0.808174661453919 & 0.59591266927304 \tabularnewline
243 & 0.359930749232116 & 0.719861498464233 & 0.640069250767884 \tabularnewline
244 & 0.300040337540059 & 0.600080675080119 & 0.699959662459941 \tabularnewline
245 & 0.429841686144286 & 0.859683372288571 & 0.570158313855714 \tabularnewline
246 & 0.345092325615052 & 0.690184651230105 & 0.654907674384948 \tabularnewline
247 & 0.267969795574533 & 0.535939591149065 & 0.732030204425467 \tabularnewline
248 & 0.411868209205384 & 0.823736418410767 & 0.588131790794616 \tabularnewline
249 & 0.318882878681325 & 0.63776575736265 & 0.681117121318675 \tabularnewline
250 & 0.230601273957032 & 0.461202547914065 & 0.769398726042968 \tabularnewline
251 & 0.356227972801132 & 0.712455945602264 & 0.643772027198868 \tabularnewline
252 & 0.872687703839301 & 0.254624592321398 & 0.127312296160699 \tabularnewline
253 & 0.750320760850071 & 0.499358478299858 & 0.249679239149929 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253697&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]11[/C][C]0.0237638749126408[/C][C]0.0475277498252816[/C][C]0.976236125087359[/C][/ROW]
[ROW][C]12[/C][C]0.708031671877706[/C][C]0.583936656244587[/C][C]0.291968328122294[/C][/ROW]
[ROW][C]13[/C][C]0.96351191692836[/C][C]0.0729761661432798[/C][C]0.0364880830716399[/C][/ROW]
[ROW][C]14[/C][C]0.937868685162941[/C][C]0.124262629674118[/C][C]0.062131314837059[/C][/ROW]
[ROW][C]15[/C][C]0.941366802725038[/C][C]0.117266394549924[/C][C]0.0586331972749619[/C][/ROW]
[ROW][C]16[/C][C]0.910387503509688[/C][C]0.179224992980624[/C][C]0.0896124964903118[/C][/ROW]
[ROW][C]17[/C][C]0.947294218971633[/C][C]0.105411562056735[/C][C]0.0527057810283673[/C][/ROW]
[ROW][C]18[/C][C]0.920154326893457[/C][C]0.159691346213087[/C][C]0.0798456731065434[/C][/ROW]
[ROW][C]19[/C][C]0.884590609283966[/C][C]0.230818781432068[/C][C]0.115409390716034[/C][/ROW]
[ROW][C]20[/C][C]0.881869130983122[/C][C]0.236261738033755[/C][C]0.118130869016878[/C][/ROW]
[ROW][C]21[/C][C]0.912536660240347[/C][C]0.174926679519306[/C][C]0.0874633397596528[/C][/ROW]
[ROW][C]22[/C][C]0.910215621893006[/C][C]0.179568756213989[/C][C]0.0897843781069943[/C][/ROW]
[ROW][C]23[/C][C]0.911236395753625[/C][C]0.17752720849275[/C][C]0.0887636042463748[/C][/ROW]
[ROW][C]24[/C][C]0.882026412958778[/C][C]0.235947174082444[/C][C]0.117973587041222[/C][/ROW]
[ROW][C]25[/C][C]0.858687459959812[/C][C]0.282625080080376[/C][C]0.141312540040188[/C][/ROW]
[ROW][C]26[/C][C]0.998870263168547[/C][C]0.00225947366290565[/C][C]0.00112973683145282[/C][/ROW]
[ROW][C]27[/C][C]0.998222104110666[/C][C]0.0035557917786673[/C][C]0.00177789588933365[/C][/ROW]
[ROW][C]28[/C][C]0.997199687288928[/C][C]0.00560062542214479[/C][C]0.0028003127110724[/C][/ROW]
[ROW][C]29[/C][C]0.995748840934777[/C][C]0.00850231813044674[/C][C]0.00425115906522337[/C][/ROW]
[ROW][C]30[/C][C]0.997073083640578[/C][C]0.00585383271884479[/C][C]0.00292691635942239[/C][/ROW]
[ROW][C]31[/C][C]0.995589111771422[/C][C]0.00882177645715693[/C][C]0.00441088822857846[/C][/ROW]
[ROW][C]32[/C][C]0.993688502615666[/C][C]0.0126229947686687[/C][C]0.00631149738433433[/C][/ROW]
[ROW][C]33[/C][C]0.992419031278656[/C][C]0.0151619374426885[/C][C]0.00758096872134424[/C][/ROW]
[ROW][C]34[/C][C]0.989087029050993[/C][C]0.0218259418980137[/C][C]0.0109129709490068[/C][/ROW]
[ROW][C]35[/C][C]0.986586273612977[/C][C]0.0268274527740461[/C][C]0.0134137263870231[/C][/ROW]
[ROW][C]36[/C][C]0.981497259837125[/C][C]0.0370054803257494[/C][C]0.0185027401628747[/C][/ROW]
[ROW][C]37[/C][C]0.987363294474703[/C][C]0.025273411050594[/C][C]0.012636705525297[/C][/ROW]
[ROW][C]38[/C][C]0.982666319970947[/C][C]0.0346673600581062[/C][C]0.0173336800290531[/C][/ROW]
[ROW][C]39[/C][C]0.980217094664286[/C][C]0.0395658106714283[/C][C]0.0197829053357141[/C][/ROW]
[ROW][C]40[/C][C]0.98055229168965[/C][C]0.0388954166207002[/C][C]0.0194477083103501[/C][/ROW]
[ROW][C]41[/C][C]0.974582896085387[/C][C]0.0508342078292254[/C][C]0.0254171039146127[/C][/ROW]
[ROW][C]42[/C][C]0.972159306765528[/C][C]0.0556813864689446[/C][C]0.0278406932344723[/C][/ROW]
[ROW][C]43[/C][C]0.963465403984429[/C][C]0.0730691920311414[/C][C]0.0365345960155707[/C][/ROW]
[ROW][C]44[/C][C]0.957086938118404[/C][C]0.0858261237631913[/C][C]0.0429130618815957[/C][/ROW]
[ROW][C]45[/C][C]0.945035318225451[/C][C]0.109929363549098[/C][C]0.0549646817745488[/C][/ROW]
[ROW][C]46[/C][C]0.954399569940723[/C][C]0.0912008601185533[/C][C]0.0456004300592766[/C][/ROW]
[ROW][C]47[/C][C]0.942032979823333[/C][C]0.115934040353334[/C][C]0.0579670201766668[/C][/ROW]
[ROW][C]48[/C][C]0.927044971757958[/C][C]0.145910056484084[/C][C]0.072955028242042[/C][/ROW]
[ROW][C]49[/C][C]0.93839868567339[/C][C]0.12320262865322[/C][C]0.0616013143266099[/C][/ROW]
[ROW][C]50[/C][C]0.93446890395365[/C][C]0.1310621920927[/C][C]0.06553109604635[/C][/ROW]
[ROW][C]51[/C][C]0.920280127956226[/C][C]0.159439744087548[/C][C]0.0797198720437739[/C][/ROW]
[ROW][C]52[/C][C]0.902659267332737[/C][C]0.194681465334525[/C][C]0.0973407326672627[/C][/ROW]
[ROW][C]53[/C][C]0.888624853476556[/C][C]0.222750293046889[/C][C]0.111375146523444[/C][/ROW]
[ROW][C]54[/C][C]0.871587603017548[/C][C]0.256824793964905[/C][C]0.128412396982452[/C][/ROW]
[ROW][C]55[/C][C]0.864265584208492[/C][C]0.271468831583015[/C][C]0.135734415791508[/C][/ROW]
[ROW][C]56[/C][C]0.84575062830215[/C][C]0.308498743395699[/C][C]0.15424937169785[/C][/ROW]
[ROW][C]57[/C][C]0.832290380350551[/C][C]0.335419239298898[/C][C]0.167709619649449[/C][/ROW]
[ROW][C]58[/C][C]0.803355667258785[/C][C]0.39328866548243[/C][C]0.196644332741215[/C][/ROW]
[ROW][C]59[/C][C]0.8458470001599[/C][C]0.3083059996802[/C][C]0.1541529998401[/C][/ROW]
[ROW][C]60[/C][C]0.841421469596427[/C][C]0.317157060807145[/C][C]0.158578530403572[/C][/ROW]
[ROW][C]61[/C][C]0.859850033394603[/C][C]0.280299933210794[/C][C]0.140149966605397[/C][/ROW]
[ROW][C]62[/C][C]0.858683346722954[/C][C]0.282633306554091[/C][C]0.141316653277046[/C][/ROW]
[ROW][C]63[/C][C]0.909644619291883[/C][C]0.180710761416234[/C][C]0.090355380708117[/C][/ROW]
[ROW][C]64[/C][C]0.896839950909392[/C][C]0.206320098181216[/C][C]0.103160049090608[/C][/ROW]
[ROW][C]65[/C][C]0.886505826807235[/C][C]0.226988346385529[/C][C]0.113494173192765[/C][/ROW]
[ROW][C]66[/C][C]0.959020474653479[/C][C]0.0819590506930426[/C][C]0.0409795253465213[/C][/ROW]
[ROW][C]67[/C][C]0.957491971452411[/C][C]0.0850160570951769[/C][C]0.0425080285475884[/C][/ROW]
[ROW][C]68[/C][C]0.962746963876297[/C][C]0.0745060722474062[/C][C]0.0372530361237031[/C][/ROW]
[ROW][C]69[/C][C]0.957731222568079[/C][C]0.0845375548638425[/C][C]0.0422687774319212[/C][/ROW]
[ROW][C]70[/C][C]0.951400569110227[/C][C]0.0971988617795464[/C][C]0.0485994308897732[/C][/ROW]
[ROW][C]71[/C][C]0.940928076673835[/C][C]0.118143846652329[/C][C]0.0590719233261646[/C][/ROW]
[ROW][C]72[/C][C]0.954229859285015[/C][C]0.0915402814299704[/C][C]0.0457701407149852[/C][/ROW]
[ROW][C]73[/C][C]0.94418523605026[/C][C]0.111629527899479[/C][C]0.0558147639497397[/C][/ROW]
[ROW][C]74[/C][C]0.933071537118149[/C][C]0.133856925763702[/C][C]0.0669284628818511[/C][/ROW]
[ROW][C]75[/C][C]0.928134671479713[/C][C]0.143730657040574[/C][C]0.0718653285202868[/C][/ROW]
[ROW][C]76[/C][C]0.914422824255201[/C][C]0.171154351489598[/C][C]0.0855771757447992[/C][/ROW]
[ROW][C]77[/C][C]0.926444472580213[/C][C]0.147111054839574[/C][C]0.0735555274197872[/C][/ROW]
[ROW][C]78[/C][C]0.912592160632784[/C][C]0.174815678734432[/C][C]0.087407839367216[/C][/ROW]
[ROW][C]79[/C][C]0.903794040544549[/C][C]0.192411918910902[/C][C]0.0962059594554511[/C][/ROW]
[ROW][C]80[/C][C]0.896852119486321[/C][C]0.206295761027359[/C][C]0.103147880513679[/C][/ROW]
[ROW][C]81[/C][C]0.878424737429433[/C][C]0.243150525141134[/C][C]0.121575262570567[/C][/ROW]
[ROW][C]82[/C][C]0.858790013602358[/C][C]0.282419972795283[/C][C]0.141209986397642[/C][/ROW]
[ROW][C]83[/C][C]0.851020248180091[/C][C]0.297959503639819[/C][C]0.148979751819909[/C][/ROW]
[ROW][C]84[/C][C]0.830348520944186[/C][C]0.339302958111627[/C][C]0.169651479055814[/C][/ROW]
[ROW][C]85[/C][C]0.804846342768559[/C][C]0.390307314462882[/C][C]0.195153657231441[/C][/ROW]
[ROW][C]86[/C][C]0.781172034436121[/C][C]0.437655931127758[/C][C]0.218827965563879[/C][/ROW]
[ROW][C]87[/C][C]0.752424825318396[/C][C]0.495150349363208[/C][C]0.247575174681604[/C][/ROW]
[ROW][C]88[/C][C]0.721557159102607[/C][C]0.556885681794786[/C][C]0.278442840897393[/C][/ROW]
[ROW][C]89[/C][C]0.795270416890041[/C][C]0.409459166219918[/C][C]0.204729583109959[/C][/ROW]
[ROW][C]90[/C][C]0.829327323508085[/C][C]0.341345352983831[/C][C]0.170672676491915[/C][/ROW]
[ROW][C]91[/C][C]0.804768159998059[/C][C]0.390463680003883[/C][C]0.195231840001941[/C][/ROW]
[ROW][C]92[/C][C]0.781173363752428[/C][C]0.437653272495145[/C][C]0.218826636247572[/C][/ROW]
[ROW][C]93[/C][C]0.757501445124307[/C][C]0.484997109751385[/C][C]0.242498554875693[/C][/ROW]
[ROW][C]94[/C][C]0.732482045380464[/C][C]0.535035909239071[/C][C]0.267517954619536[/C][/ROW]
[ROW][C]95[/C][C]0.705935543315197[/C][C]0.588128913369607[/C][C]0.294064456684803[/C][/ROW]
[ROW][C]96[/C][C]0.680175542569381[/C][C]0.639648914861237[/C][C]0.319824457430619[/C][/ROW]
[ROW][C]97[/C][C]0.65232486931885[/C][C]0.6953502613623[/C][C]0.34767513068115[/C][/ROW]
[ROW][C]98[/C][C]0.650849317814468[/C][C]0.698301364371064[/C][C]0.349150682185532[/C][/ROW]
[ROW][C]99[/C][C]0.616832530443941[/C][C]0.766334939112118[/C][C]0.383167469556059[/C][/ROW]
[ROW][C]100[/C][C]0.606949003718653[/C][C]0.786101992562694[/C][C]0.393050996281347[/C][/ROW]
[ROW][C]101[/C][C]0.582450946784029[/C][C]0.835098106431941[/C][C]0.417549053215971[/C][/ROW]
[ROW][C]102[/C][C]0.552845579409244[/C][C]0.894308841181513[/C][C]0.447154420590756[/C][/ROW]
[ROW][C]103[/C][C]0.601134918209333[/C][C]0.797730163581335[/C][C]0.398865081790667[/C][/ROW]
[ROW][C]104[/C][C]0.589977118743422[/C][C]0.820045762513157[/C][C]0.410022881256579[/C][/ROW]
[ROW][C]105[/C][C]0.605270158004073[/C][C]0.789459683991854[/C][C]0.394729841995927[/C][/ROW]
[ROW][C]106[/C][C]0.577837366245867[/C][C]0.844325267508266[/C][C]0.422162633754133[/C][/ROW]
[ROW][C]107[/C][C]0.570148719773418[/C][C]0.859702560453164[/C][C]0.429851280226582[/C][/ROW]
[ROW][C]108[/C][C]0.61050953171474[/C][C]0.778980936570521[/C][C]0.38949046828526[/C][/ROW]
[ROW][C]109[/C][C]0.582909474668561[/C][C]0.834181050662878[/C][C]0.417090525331439[/C][/ROW]
[ROW][C]110[/C][C]0.557326306989385[/C][C]0.885347386021231[/C][C]0.442673693010615[/C][/ROW]
[ROW][C]111[/C][C]0.562275961770407[/C][C]0.875448076459186[/C][C]0.437724038229593[/C][/ROW]
[ROW][C]112[/C][C]0.590965575791341[/C][C]0.818068848417318[/C][C]0.409034424208659[/C][/ROW]
[ROW][C]113[/C][C]0.588691944743508[/C][C]0.822616110512984[/C][C]0.411308055256492[/C][/ROW]
[ROW][C]114[/C][C]0.677824271764861[/C][C]0.644351456470277[/C][C]0.322175728235138[/C][/ROW]
[ROW][C]115[/C][C]0.646755429948455[/C][C]0.70648914010309[/C][C]0.353244570051545[/C][/ROW]
[ROW][C]116[/C][C]0.622172449661109[/C][C]0.755655100677782[/C][C]0.377827550338891[/C][/ROW]
[ROW][C]117[/C][C]0.589182170929518[/C][C]0.821635658140965[/C][C]0.410817829070482[/C][/ROW]
[ROW][C]118[/C][C]0.565314663751051[/C][C]0.869370672497897[/C][C]0.434685336248949[/C][/ROW]
[ROW][C]119[/C][C]0.531263859557261[/C][C]0.937472280885478[/C][C]0.468736140442739[/C][/ROW]
[ROW][C]120[/C][C]0.500102134015527[/C][C]0.999795731968947[/C][C]0.499897865984473[/C][/ROW]
[ROW][C]121[/C][C]0.469503748603061[/C][C]0.939007497206121[/C][C]0.530496251396939[/C][/ROW]
[ROW][C]122[/C][C]0.438881101987392[/C][C]0.877762203974784[/C][C]0.561118898012608[/C][/ROW]
[ROW][C]123[/C][C]0.412299101965175[/C][C]0.82459820393035[/C][C]0.587700898034825[/C][/ROW]
[ROW][C]124[/C][C]0.379910332308149[/C][C]0.759820664616298[/C][C]0.620089667691851[/C][/ROW]
[ROW][C]125[/C][C]0.368691967795945[/C][C]0.73738393559189[/C][C]0.631308032204055[/C][/ROW]
[ROW][C]126[/C][C]0.339704046366867[/C][C]0.679408092733735[/C][C]0.660295953633133[/C][/ROW]
[ROW][C]127[/C][C]0.327022828603386[/C][C]0.654045657206772[/C][C]0.672977171396614[/C][/ROW]
[ROW][C]128[/C][C]0.429973809888521[/C][C]0.859947619777041[/C][C]0.570026190111479[/C][/ROW]
[ROW][C]129[/C][C]0.41334535348446[/C][C]0.826690706968921[/C][C]0.58665464651554[/C][/ROW]
[ROW][C]130[/C][C]0.402180485832208[/C][C]0.804360971664417[/C][C]0.597819514167792[/C][/ROW]
[ROW][C]131[/C][C]0.386644691686367[/C][C]0.773289383372733[/C][C]0.613355308313633[/C][/ROW]
[ROW][C]132[/C][C]0.359314598595456[/C][C]0.718629197190912[/C][C]0.640685401404544[/C][/ROW]
[ROW][C]133[/C][C]0.38009032369393[/C][C]0.760180647387861[/C][C]0.61990967630607[/C][/ROW]
[ROW][C]134[/C][C]0.353228502461303[/C][C]0.706457004922607[/C][C]0.646771497538697[/C][/ROW]
[ROW][C]135[/C][C]0.364887914691647[/C][C]0.729775829383294[/C][C]0.635112085308353[/C][/ROW]
[ROW][C]136[/C][C]0.354394283259025[/C][C]0.708788566518049[/C][C]0.645605716740975[/C][/ROW]
[ROW][C]137[/C][C]0.325298502759424[/C][C]0.650597005518849[/C][C]0.674701497240576[/C][/ROW]
[ROW][C]138[/C][C]0.301269425142282[/C][C]0.602538850284564[/C][C]0.698730574857718[/C][/ROW]
[ROW][C]139[/C][C]0.275801681633695[/C][C]0.551603363267389[/C][C]0.724198318366305[/C][/ROW]
[ROW][C]140[/C][C]0.252555620105869[/C][C]0.505111240211738[/C][C]0.747444379894131[/C][/ROW]
[ROW][C]141[/C][C]0.225596416538775[/C][C]0.451192833077551[/C][C]0.774403583461225[/C][/ROW]
[ROW][C]142[/C][C]0.231356428695004[/C][C]0.462712857390008[/C][C]0.768643571304996[/C][/ROW]
[ROW][C]143[/C][C]0.206771858277244[/C][C]0.413543716554488[/C][C]0.793228141722756[/C][/ROW]
[ROW][C]144[/C][C]0.186137377847634[/C][C]0.372274755695268[/C][C]0.813862622152366[/C][/ROW]
[ROW][C]145[/C][C]0.174318165416395[/C][C]0.348636330832791[/C][C]0.825681834583605[/C][/ROW]
[ROW][C]146[/C][C]0.166582008698692[/C][C]0.333164017397383[/C][C]0.833417991301308[/C][/ROW]
[ROW][C]147[/C][C]0.175026427242268[/C][C]0.350052854484535[/C][C]0.824973572757732[/C][/ROW]
[ROW][C]148[/C][C]0.191285007655626[/C][C]0.382570015311252[/C][C]0.808714992344374[/C][/ROW]
[ROW][C]149[/C][C]0.207654512537801[/C][C]0.415309025075602[/C][C]0.792345487462199[/C][/ROW]
[ROW][C]150[/C][C]0.208583206526609[/C][C]0.417166413053218[/C][C]0.791416793473391[/C][/ROW]
[ROW][C]151[/C][C]0.188178838481372[/C][C]0.376357676962745[/C][C]0.811821161518628[/C][/ROW]
[ROW][C]152[/C][C]0.169164015684911[/C][C]0.338328031369823[/C][C]0.830835984315089[/C][/ROW]
[ROW][C]153[/C][C]0.182890324559112[/C][C]0.365780649118224[/C][C]0.817109675440888[/C][/ROW]
[ROW][C]154[/C][C]0.19815066170154[/C][C]0.39630132340308[/C][C]0.80184933829846[/C][/ROW]
[ROW][C]155[/C][C]0.184027196009171[/C][C]0.368054392018342[/C][C]0.815972803990829[/C][/ROW]
[ROW][C]156[/C][C]0.161205907450442[/C][C]0.322411814900884[/C][C]0.838794092549558[/C][/ROW]
[ROW][C]157[/C][C]0.1436493330907[/C][C]0.2872986661814[/C][C]0.8563506669093[/C][/ROW]
[ROW][C]158[/C][C]0.225485669798788[/C][C]0.450971339597577[/C][C]0.774514330201212[/C][/ROW]
[ROW][C]159[/C][C]0.243483001235488[/C][C]0.486966002470977[/C][C]0.756516998764512[/C][/ROW]
[ROW][C]160[/C][C]0.222936947395872[/C][C]0.445873894791744[/C][C]0.777063052604128[/C][/ROW]
[ROW][C]161[/C][C]0.200000758285421[/C][C]0.400001516570843[/C][C]0.799999241714579[/C][/ROW]
[ROW][C]162[/C][C]0.176874697759894[/C][C]0.353749395519787[/C][C]0.823125302240106[/C][/ROW]
[ROW][C]163[/C][C]0.156451753706917[/C][C]0.312903507413833[/C][C]0.843548246293083[/C][/ROW]
[ROW][C]164[/C][C]0.262430100682666[/C][C]0.524860201365332[/C][C]0.737569899317334[/C][/ROW]
[ROW][C]165[/C][C]0.258980676963763[/C][C]0.517961353927525[/C][C]0.741019323036237[/C][/ROW]
[ROW][C]166[/C][C]0.255042351473481[/C][C]0.510084702946962[/C][C]0.744957648526519[/C][/ROW]
[ROW][C]167[/C][C]0.226777281979638[/C][C]0.453554563959275[/C][C]0.773222718020362[/C][/ROW]
[ROW][C]168[/C][C]0.204766808469886[/C][C]0.409533616939772[/C][C]0.795233191530114[/C][/ROW]
[ROW][C]169[/C][C]0.261498681212558[/C][C]0.522997362425116[/C][C]0.738501318787442[/C][/ROW]
[ROW][C]170[/C][C]0.286357104229632[/C][C]0.572714208459264[/C][C]0.713642895770368[/C][/ROW]
[ROW][C]171[/C][C]0.258792046975164[/C][C]0.517584093950328[/C][C]0.741207953024836[/C][/ROW]
[ROW][C]172[/C][C]0.253822128706163[/C][C]0.507644257412327[/C][C]0.746177871293837[/C][/ROW]
[ROW][C]173[/C][C]0.418897118780787[/C][C]0.837794237561574[/C][C]0.581102881219213[/C][/ROW]
[ROW][C]174[/C][C]0.4049379420986[/C][C]0.8098758841972[/C][C]0.5950620579014[/C][/ROW]
[ROW][C]175[/C][C]0.427431873800252[/C][C]0.854863747600504[/C][C]0.572568126199748[/C][/ROW]
[ROW][C]176[/C][C]0.436631513289014[/C][C]0.873263026578028[/C][C]0.563368486710986[/C][/ROW]
[ROW][C]177[/C][C]0.494663649093325[/C][C]0.98932729818665[/C][C]0.505336350906675[/C][/ROW]
[ROW][C]178[/C][C]0.461064055442921[/C][C]0.922128110885842[/C][C]0.538935944557079[/C][/ROW]
[ROW][C]179[/C][C]0.438390580192414[/C][C]0.876781160384827[/C][C]0.561609419807586[/C][/ROW]
[ROW][C]180[/C][C]0.437838107822979[/C][C]0.875676215645958[/C][C]0.562161892177021[/C][/ROW]
[ROW][C]181[/C][C]0.400540685327301[/C][C]0.801081370654603[/C][C]0.599459314672699[/C][/ROW]
[ROW][C]182[/C][C]0.393500966336281[/C][C]0.787001932672563[/C][C]0.606499033663719[/C][/ROW]
[ROW][C]183[/C][C]0.356462286959004[/C][C]0.712924573918007[/C][C]0.643537713040996[/C][/ROW]
[ROW][C]184[/C][C]0.329788118792106[/C][C]0.659576237584212[/C][C]0.670211881207894[/C][/ROW]
[ROW][C]185[/C][C]0.34497673021175[/C][C]0.689953460423499[/C][C]0.65502326978825[/C][/ROW]
[ROW][C]186[/C][C]0.337543930467185[/C][C]0.675087860934371[/C][C]0.662456069532815[/C][/ROW]
[ROW][C]187[/C][C]0.303482519006741[/C][C]0.606965038013481[/C][C]0.696517480993259[/C][/ROW]
[ROW][C]188[/C][C]0.276539143224199[/C][C]0.553078286448398[/C][C]0.723460856775801[/C][/ROW]
[ROW][C]189[/C][C]0.245808455262672[/C][C]0.491616910525344[/C][C]0.754191544737328[/C][/ROW]
[ROW][C]190[/C][C]0.223275331498203[/C][C]0.446550662996406[/C][C]0.776724668501797[/C][/ROW]
[ROW][C]191[/C][C]0.227132134079733[/C][C]0.454264268159467[/C][C]0.772867865920267[/C][/ROW]
[ROW][C]192[/C][C]0.209027301275104[/C][C]0.418054602550207[/C][C]0.790972698724896[/C][/ROW]
[ROW][C]193[/C][C]0.22693882443774[/C][C]0.453877648875481[/C][C]0.77306117556226[/C][/ROW]
[ROW][C]194[/C][C]0.215045332854639[/C][C]0.430090665709278[/C][C]0.784954667145361[/C][/ROW]
[ROW][C]195[/C][C]0.214476464292454[/C][C]0.428952928584909[/C][C]0.785523535707546[/C][/ROW]
[ROW][C]196[/C][C]0.225849422620273[/C][C]0.451698845240547[/C][C]0.774150577379727[/C][/ROW]
[ROW][C]197[/C][C]0.272970372213225[/C][C]0.54594074442645[/C][C]0.727029627786775[/C][/ROW]
[ROW][C]198[/C][C]0.254746023358584[/C][C]0.509492046717169[/C][C]0.745253976641416[/C][/ROW]
[ROW][C]199[/C][C]0.288264572086339[/C][C]0.576529144172678[/C][C]0.711735427913661[/C][/ROW]
[ROW][C]200[/C][C]0.255383860135478[/C][C]0.510767720270957[/C][C]0.744616139864522[/C][/ROW]
[ROW][C]201[/C][C]0.292984042805814[/C][C]0.585968085611628[/C][C]0.707015957194186[/C][/ROW]
[ROW][C]202[/C][C]0.271383849719383[/C][C]0.542767699438765[/C][C]0.728616150280617[/C][/ROW]
[ROW][C]203[/C][C]0.333141859782696[/C][C]0.666283719565392[/C][C]0.666858140217304[/C][/ROW]
[ROW][C]204[/C][C]0.297182404621445[/C][C]0.59436480924289[/C][C]0.702817595378555[/C][/ROW]
[ROW][C]205[/C][C]0.263003723529976[/C][C]0.526007447059951[/C][C]0.736996276470024[/C][/ROW]
[ROW][C]206[/C][C]0.241564880161088[/C][C]0.483129760322177[/C][C]0.758435119838912[/C][/ROW]
[ROW][C]207[/C][C]0.21019271292204[/C][C]0.42038542584408[/C][C]0.78980728707796[/C][/ROW]
[ROW][C]208[/C][C]0.229727957065527[/C][C]0.459455914131053[/C][C]0.770272042934473[/C][/ROW]
[ROW][C]209[/C][C]0.197821858979781[/C][C]0.395643717959561[/C][C]0.802178141020219[/C][/ROW]
[ROW][C]210[/C][C]0.214541978773947[/C][C]0.429083957547895[/C][C]0.785458021226053[/C][/ROW]
[ROW][C]211[/C][C]0.242561982099016[/C][C]0.485123964198032[/C][C]0.757438017900984[/C][/ROW]
[ROW][C]212[/C][C]0.226758310589744[/C][C]0.453516621179488[/C][C]0.773241689410256[/C][/ROW]
[ROW][C]213[/C][C]0.199328988488854[/C][C]0.398657976977708[/C][C]0.800671011511146[/C][/ROW]
[ROW][C]214[/C][C]0.248914910566975[/C][C]0.497829821133951[/C][C]0.751085089433025[/C][/ROW]
[ROW][C]215[/C][C]0.221495374247452[/C][C]0.442990748494904[/C][C]0.778504625752548[/C][/ROW]
[ROW][C]216[/C][C]0.208171500537993[/C][C]0.416343001075986[/C][C]0.791828499462007[/C][/ROW]
[ROW][C]217[/C][C]0.24119662285063[/C][C]0.48239324570126[/C][C]0.75880337714937[/C][/ROW]
[ROW][C]218[/C][C]0.210509014529493[/C][C]0.421018029058987[/C][C]0.789490985470507[/C][/ROW]
[ROW][C]219[/C][C]0.196494361073707[/C][C]0.392988722147414[/C][C]0.803505638926293[/C][/ROW]
[ROW][C]220[/C][C]0.204038611507052[/C][C]0.408077223014105[/C][C]0.795961388492948[/C][/ROW]
[ROW][C]221[/C][C]0.212216215549244[/C][C]0.424432431098487[/C][C]0.787783784450756[/C][/ROW]
[ROW][C]222[/C][C]0.213314022616385[/C][C]0.426628045232771[/C][C]0.786685977383615[/C][/ROW]
[ROW][C]223[/C][C]0.197215362792115[/C][C]0.39443072558423[/C][C]0.802784637207885[/C][/ROW]
[ROW][C]224[/C][C]0.165167024552863[/C][C]0.330334049105726[/C][C]0.834832975447137[/C][/ROW]
[ROW][C]225[/C][C]0.149524697351957[/C][C]0.299049394703913[/C][C]0.850475302648043[/C][/ROW]
[ROW][C]226[/C][C]0.178414312404618[/C][C]0.356828624809236[/C][C]0.821585687595382[/C][/ROW]
[ROW][C]227[/C][C]0.370584744610052[/C][C]0.741169489220104[/C][C]0.629415255389948[/C][/ROW]
[ROW][C]228[/C][C]0.347179640461132[/C][C]0.694359280922264[/C][C]0.652820359538868[/C][/ROW]
[ROW][C]229[/C][C]0.320121176852273[/C][C]0.640242353704546[/C][C]0.679878823147727[/C][/ROW]
[ROW][C]230[/C][C]0.304917555497614[/C][C]0.609835110995229[/C][C]0.695082444502386[/C][/ROW]
[ROW][C]231[/C][C]0.262256008429284[/C][C]0.524512016858567[/C][C]0.737743991570716[/C][/ROW]
[ROW][C]232[/C][C]0.30163407140796[/C][C]0.60326814281592[/C][C]0.69836592859204[/C][/ROW]
[ROW][C]233[/C][C]0.256910703621774[/C][C]0.513821407243547[/C][C]0.743089296378226[/C][/ROW]
[ROW][C]234[/C][C]0.215100542021274[/C][C]0.430201084042547[/C][C]0.784899457978727[/C][/ROW]
[ROW][C]235[/C][C]0.214320242208138[/C][C]0.428640484416276[/C][C]0.785679757791862[/C][/ROW]
[ROW][C]236[/C][C]0.190026333168952[/C][C]0.380052666337903[/C][C]0.809973666831048[/C][/ROW]
[ROW][C]237[/C][C]0.159139651699183[/C][C]0.318279303398365[/C][C]0.840860348300817[/C][/ROW]
[ROW][C]238[/C][C]0.12400491195472[/C][C]0.248009823909439[/C][C]0.87599508804528[/C][/ROW]
[ROW][C]239[/C][C]0.241043360685312[/C][C]0.482086721370623[/C][C]0.758956639314688[/C][/ROW]
[ROW][C]240[/C][C]0.23647154675856[/C][C]0.472943093517121[/C][C]0.76352845324144[/C][/ROW]
[ROW][C]241[/C][C]0.20434836090162[/C][C]0.40869672180324[/C][C]0.79565163909838[/C][/ROW]
[ROW][C]242[/C][C]0.40408733072696[/C][C]0.808174661453919[/C][C]0.59591266927304[/C][/ROW]
[ROW][C]243[/C][C]0.359930749232116[/C][C]0.719861498464233[/C][C]0.640069250767884[/C][/ROW]
[ROW][C]244[/C][C]0.300040337540059[/C][C]0.600080675080119[/C][C]0.699959662459941[/C][/ROW]
[ROW][C]245[/C][C]0.429841686144286[/C][C]0.859683372288571[/C][C]0.570158313855714[/C][/ROW]
[ROW][C]246[/C][C]0.345092325615052[/C][C]0.690184651230105[/C][C]0.654907674384948[/C][/ROW]
[ROW][C]247[/C][C]0.267969795574533[/C][C]0.535939591149065[/C][C]0.732030204425467[/C][/ROW]
[ROW][C]248[/C][C]0.411868209205384[/C][C]0.823736418410767[/C][C]0.588131790794616[/C][/ROW]
[ROW][C]249[/C][C]0.318882878681325[/C][C]0.63776575736265[/C][C]0.681117121318675[/C][/ROW]
[ROW][C]250[/C][C]0.230601273957032[/C][C]0.461202547914065[/C][C]0.769398726042968[/C][/ROW]
[ROW][C]251[/C][C]0.356227972801132[/C][C]0.712455945602264[/C][C]0.643772027198868[/C][/ROW]
[ROW][C]252[/C][C]0.872687703839301[/C][C]0.254624592321398[/C][C]0.127312296160699[/C][/ROW]
[ROW][C]253[/C][C]0.750320760850071[/C][C]0.499358478299858[/C][C]0.249679239149929[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253697&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253697&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.02376387491264080.04752774982528160.976236125087359
120.7080316718777060.5839366562445870.291968328122294
130.963511916928360.07297616614327980.0364880830716399
140.9378686851629410.1242626296741180.062131314837059
150.9413668027250380.1172663945499240.0586331972749619
160.9103875035096880.1792249929806240.0896124964903118
170.9472942189716330.1054115620567350.0527057810283673
180.9201543268934570.1596913462130870.0798456731065434
190.8845906092839660.2308187814320680.115409390716034
200.8818691309831220.2362617380337550.118130869016878
210.9125366602403470.1749266795193060.0874633397596528
220.9102156218930060.1795687562139890.0897843781069943
230.9112363957536250.177527208492750.0887636042463748
240.8820264129587780.2359471740824440.117973587041222
250.8586874599598120.2826250800803760.141312540040188
260.9988702631685470.002259473662905650.00112973683145282
270.9982221041106660.00355579177866730.00177789588933365
280.9971996872889280.005600625422144790.0028003127110724
290.9957488409347770.008502318130446740.00425115906522337
300.9970730836405780.005853832718844790.00292691635942239
310.9955891117714220.008821776457156930.00441088822857846
320.9936885026156660.01262299476866870.00631149738433433
330.9924190312786560.01516193744268850.00758096872134424
340.9890870290509930.02182594189801370.0109129709490068
350.9865862736129770.02682745277404610.0134137263870231
360.9814972598371250.03700548032574940.0185027401628747
370.9873632944747030.0252734110505940.012636705525297
380.9826663199709470.03466736005810620.0173336800290531
390.9802170946642860.03956581067142830.0197829053357141
400.980552291689650.03889541662070020.0194477083103501
410.9745828960853870.05083420782922540.0254171039146127
420.9721593067655280.05568138646894460.0278406932344723
430.9634654039844290.07306919203114140.0365345960155707
440.9570869381184040.08582612376319130.0429130618815957
450.9450353182254510.1099293635490980.0549646817745488
460.9543995699407230.09120086011855330.0456004300592766
470.9420329798233330.1159340403533340.0579670201766668
480.9270449717579580.1459100564840840.072955028242042
490.938398685673390.123202628653220.0616013143266099
500.934468903953650.13106219209270.06553109604635
510.9202801279562260.1594397440875480.0797198720437739
520.9026592673327370.1946814653345250.0973407326672627
530.8886248534765560.2227502930468890.111375146523444
540.8715876030175480.2568247939649050.128412396982452
550.8642655842084920.2714688315830150.135734415791508
560.845750628302150.3084987433956990.15424937169785
570.8322903803505510.3354192392988980.167709619649449
580.8033556672587850.393288665482430.196644332741215
590.84584700015990.30830599968020.1541529998401
600.8414214695964270.3171570608071450.158578530403572
610.8598500333946030.2802999332107940.140149966605397
620.8586833467229540.2826333065540910.141316653277046
630.9096446192918830.1807107614162340.090355380708117
640.8968399509093920.2063200981812160.103160049090608
650.8865058268072350.2269883463855290.113494173192765
660.9590204746534790.08195905069304260.0409795253465213
670.9574919714524110.08501605709517690.0425080285475884
680.9627469638762970.07450607224740620.0372530361237031
690.9577312225680790.08453755486384250.0422687774319212
700.9514005691102270.09719886177954640.0485994308897732
710.9409280766738350.1181438466523290.0590719233261646
720.9542298592850150.09154028142997040.0457701407149852
730.944185236050260.1116295278994790.0558147639497397
740.9330715371181490.1338569257637020.0669284628818511
750.9281346714797130.1437306570405740.0718653285202868
760.9144228242552010.1711543514895980.0855771757447992
770.9264444725802130.1471110548395740.0735555274197872
780.9125921606327840.1748156787344320.087407839367216
790.9037940405445490.1924119189109020.0962059594554511
800.8968521194863210.2062957610273590.103147880513679
810.8784247374294330.2431505251411340.121575262570567
820.8587900136023580.2824199727952830.141209986397642
830.8510202481800910.2979595036398190.148979751819909
840.8303485209441860.3393029581116270.169651479055814
850.8048463427685590.3903073144628820.195153657231441
860.7811720344361210.4376559311277580.218827965563879
870.7524248253183960.4951503493632080.247575174681604
880.7215571591026070.5568856817947860.278442840897393
890.7952704168900410.4094591662199180.204729583109959
900.8293273235080850.3413453529838310.170672676491915
910.8047681599980590.3904636800038830.195231840001941
920.7811733637524280.4376532724951450.218826636247572
930.7575014451243070.4849971097513850.242498554875693
940.7324820453804640.5350359092390710.267517954619536
950.7059355433151970.5881289133696070.294064456684803
960.6801755425693810.6396489148612370.319824457430619
970.652324869318850.69535026136230.34767513068115
980.6508493178144680.6983013643710640.349150682185532
990.6168325304439410.7663349391121180.383167469556059
1000.6069490037186530.7861019925626940.393050996281347
1010.5824509467840290.8350981064319410.417549053215971
1020.5528455794092440.8943088411815130.447154420590756
1030.6011349182093330.7977301635813350.398865081790667
1040.5899771187434220.8200457625131570.410022881256579
1050.6052701580040730.7894596839918540.394729841995927
1060.5778373662458670.8443252675082660.422162633754133
1070.5701487197734180.8597025604531640.429851280226582
1080.610509531714740.7789809365705210.38949046828526
1090.5829094746685610.8341810506628780.417090525331439
1100.5573263069893850.8853473860212310.442673693010615
1110.5622759617704070.8754480764591860.437724038229593
1120.5909655757913410.8180688484173180.409034424208659
1130.5886919447435080.8226161105129840.411308055256492
1140.6778242717648610.6443514564702770.322175728235138
1150.6467554299484550.706489140103090.353244570051545
1160.6221724496611090.7556551006777820.377827550338891
1170.5891821709295180.8216356581409650.410817829070482
1180.5653146637510510.8693706724978970.434685336248949
1190.5312638595572610.9374722808854780.468736140442739
1200.5001021340155270.9997957319689470.499897865984473
1210.4695037486030610.9390074972061210.530496251396939
1220.4388811019873920.8777622039747840.561118898012608
1230.4122991019651750.824598203930350.587700898034825
1240.3799103323081490.7598206646162980.620089667691851
1250.3686919677959450.737383935591890.631308032204055
1260.3397040463668670.6794080927337350.660295953633133
1270.3270228286033860.6540456572067720.672977171396614
1280.4299738098885210.8599476197770410.570026190111479
1290.413345353484460.8266907069689210.58665464651554
1300.4021804858322080.8043609716644170.597819514167792
1310.3866446916863670.7732893833727330.613355308313633
1320.3593145985954560.7186291971909120.640685401404544
1330.380090323693930.7601806473878610.61990967630607
1340.3532285024613030.7064570049226070.646771497538697
1350.3648879146916470.7297758293832940.635112085308353
1360.3543942832590250.7087885665180490.645605716740975
1370.3252985027594240.6505970055188490.674701497240576
1380.3012694251422820.6025388502845640.698730574857718
1390.2758016816336950.5516033632673890.724198318366305
1400.2525556201058690.5051112402117380.747444379894131
1410.2255964165387750.4511928330775510.774403583461225
1420.2313564286950040.4627128573900080.768643571304996
1430.2067718582772440.4135437165544880.793228141722756
1440.1861373778476340.3722747556952680.813862622152366
1450.1743181654163950.3486363308327910.825681834583605
1460.1665820086986920.3331640173973830.833417991301308
1470.1750264272422680.3500528544845350.824973572757732
1480.1912850076556260.3825700153112520.808714992344374
1490.2076545125378010.4153090250756020.792345487462199
1500.2085832065266090.4171664130532180.791416793473391
1510.1881788384813720.3763576769627450.811821161518628
1520.1691640156849110.3383280313698230.830835984315089
1530.1828903245591120.3657806491182240.817109675440888
1540.198150661701540.396301323403080.80184933829846
1550.1840271960091710.3680543920183420.815972803990829
1560.1612059074504420.3224118149008840.838794092549558
1570.14364933309070.28729866618140.8563506669093
1580.2254856697987880.4509713395975770.774514330201212
1590.2434830012354880.4869660024709770.756516998764512
1600.2229369473958720.4458738947917440.777063052604128
1610.2000007582854210.4000015165708430.799999241714579
1620.1768746977598940.3537493955197870.823125302240106
1630.1564517537069170.3129035074138330.843548246293083
1640.2624301006826660.5248602013653320.737569899317334
1650.2589806769637630.5179613539275250.741019323036237
1660.2550423514734810.5100847029469620.744957648526519
1670.2267772819796380.4535545639592750.773222718020362
1680.2047668084698860.4095336169397720.795233191530114
1690.2614986812125580.5229973624251160.738501318787442
1700.2863571042296320.5727142084592640.713642895770368
1710.2587920469751640.5175840939503280.741207953024836
1720.2538221287061630.5076442574123270.746177871293837
1730.4188971187807870.8377942375615740.581102881219213
1740.40493794209860.80987588419720.5950620579014
1750.4274318738002520.8548637476005040.572568126199748
1760.4366315132890140.8732630265780280.563368486710986
1770.4946636490933250.989327298186650.505336350906675
1780.4610640554429210.9221281108858420.538935944557079
1790.4383905801924140.8767811603848270.561609419807586
1800.4378381078229790.8756762156459580.562161892177021
1810.4005406853273010.8010813706546030.599459314672699
1820.3935009663362810.7870019326725630.606499033663719
1830.3564622869590040.7129245739180070.643537713040996
1840.3297881187921060.6595762375842120.670211881207894
1850.344976730211750.6899534604234990.65502326978825
1860.3375439304671850.6750878609343710.662456069532815
1870.3034825190067410.6069650380134810.696517480993259
1880.2765391432241990.5530782864483980.723460856775801
1890.2458084552626720.4916169105253440.754191544737328
1900.2232753314982030.4465506629964060.776724668501797
1910.2271321340797330.4542642681594670.772867865920267
1920.2090273012751040.4180546025502070.790972698724896
1930.226938824437740.4538776488754810.77306117556226
1940.2150453328546390.4300906657092780.784954667145361
1950.2144764642924540.4289529285849090.785523535707546
1960.2258494226202730.4516988452405470.774150577379727
1970.2729703722132250.545940744426450.727029627786775
1980.2547460233585840.5094920467171690.745253976641416
1990.2882645720863390.5765291441726780.711735427913661
2000.2553838601354780.5107677202709570.744616139864522
2010.2929840428058140.5859680856116280.707015957194186
2020.2713838497193830.5427676994387650.728616150280617
2030.3331418597826960.6662837195653920.666858140217304
2040.2971824046214450.594364809242890.702817595378555
2050.2630037235299760.5260074470599510.736996276470024
2060.2415648801610880.4831297603221770.758435119838912
2070.210192712922040.420385425844080.78980728707796
2080.2297279570655270.4594559141310530.770272042934473
2090.1978218589797810.3956437179595610.802178141020219
2100.2145419787739470.4290839575478950.785458021226053
2110.2425619820990160.4851239641980320.757438017900984
2120.2267583105897440.4535166211794880.773241689410256
2130.1993289884888540.3986579769777080.800671011511146
2140.2489149105669750.4978298211339510.751085089433025
2150.2214953742474520.4429907484949040.778504625752548
2160.2081715005379930.4163430010759860.791828499462007
2170.241196622850630.482393245701260.75880337714937
2180.2105090145294930.4210180290589870.789490985470507
2190.1964943610737070.3929887221474140.803505638926293
2200.2040386115070520.4080772230141050.795961388492948
2210.2122162155492440.4244324310984870.787783784450756
2220.2133140226163850.4266280452327710.786685977383615
2230.1972153627921150.394430725584230.802784637207885
2240.1651670245528630.3303340491057260.834832975447137
2250.1495246973519570.2990493947039130.850475302648043
2260.1784143124046180.3568286248092360.821585687595382
2270.3705847446100520.7411694892201040.629415255389948
2280.3471796404611320.6943592809222640.652820359538868
2290.3201211768522730.6402423537045460.679878823147727
2300.3049175554976140.6098351109952290.695082444502386
2310.2622560084292840.5245120168585670.737743991570716
2320.301634071407960.603268142815920.69836592859204
2330.2569107036217740.5138214072435470.743089296378226
2340.2151005420212740.4302010840425470.784899457978727
2350.2143202422081380.4286404844162760.785679757791862
2360.1900263331689520.3800526663379030.809973666831048
2370.1591396516991830.3182793033983650.840860348300817
2380.124004911954720.2480098239094390.87599508804528
2390.2410433606853120.4820867213706230.758956639314688
2400.236471546758560.4729430935171210.76352845324144
2410.204348360901620.408696721803240.79565163909838
2420.404087330726960.8081746614539190.59591266927304
2430.3599307492321160.7198614984642330.640069250767884
2440.3000403375400590.6000806750801190.699959662459941
2450.4298416861442860.8596833722885710.570158313855714
2460.3450923256150520.6901846512301050.654907674384948
2470.2679697955745330.5359395911490650.732030204425467
2480.4118682092053840.8237364184107670.588131790794616
2490.3188828786813250.637765757362650.681117121318675
2500.2306012739570320.4612025479140650.769398726042968
2510.3562279728011320.7124559456022640.643772027198868
2520.8726877038393010.2546245923213980.127312296160699
2530.7503207608500710.4993584782998580.249679239149929






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level60.0246913580246914NOK
5% type I error level160.065843621399177NOK
10% type I error level280.11522633744856NOK

\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 & 6 & 0.0246913580246914 & NOK \tabularnewline
5% type I error level & 16 & 0.065843621399177 & NOK \tabularnewline
10% type I error level & 28 & 0.11522633744856 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=253697&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]6[/C][C]0.0246913580246914[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]16[/C][C]0.065843621399177[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]28[/C][C]0.11522633744856[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=253697&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=253697&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 level60.0246913580246914NOK
5% type I error level160.065843621399177NOK
10% type I error level280.11522633744856NOK


Figures (Output of Computation)

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


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


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


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


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


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


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


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


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


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


Input Parameters & R Code

Parameters (Session):
par1 = 5 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 5 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
R code (references can be found in the software module):
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, mysum$coefficients[i,1], sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,mysum$coefficients[i,1])
a<-table.element(a, round(mysum$coefficients[i,2],6))
a<-table.element(a, round(mysum$coefficients[i,3],4))
a<-table.element(a, round(mysum$coefficients[i,4],6))
a<-table.element(a, round(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, sqrt(mysum$r.squared))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, mysum$r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, mysum$adj.r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, mysum$fstatistic[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[3])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, 1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a, mysum$sigma)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, sum(myerror*myerror))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,x[i])
a<-table.element(a,x[i]-mysum$resid[i])
a<-table.element(a,mysum$resid[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
if (n > n25) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-values',header=TRUE)
a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'breakpoint index',header=TRUE)
a<-table.element(a,'greater',header=TRUE)
a<-table.element(a,'2-sided',header=TRUE)
a<-table.element(a,'less',header=TRUE)
a<-table.row.end(a)
for (mypoint in kp3:nmkm3) {
a<-table.row.start(a)
a<-table.element(a,mypoint,header=TRUE)
a<-table.element(a,gqarr[mypoint-kp3+1,1])
a<-table.element(a,gqarr[mypoint-kp3+1,2])
a<-table.element(a,gqarr[mypoint-kp3+1,3])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable5.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,'# significant tests',header=TRUE)
a<-table.element(a,'% significant tests',header=TRUE)
a<-table.element(a,'OK/NOK',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'1% type I error level',header=TRUE)
a<-table.element(a,numsignificant1)
a<-table.element(a,numsignificant1/numgqtests)
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,numsignificant5)
a<-table.element(a,numsignificant5/numgqtests)
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,numsignificant10)
a<-table.element(a,numsignificant10/numgqtests)
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}