FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationSun, 05 Dec 2010 18:56:24 +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/2010/Dec/05/t12915753173exdlr28pzmeq77.htm/, Retrieved Sat, 27 Apr 2024 07:40:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=105467, Retrieved Sat, 27 Apr 2024 07:40:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact927

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2010-12-05 18:56:24] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]
-   PD    [Multiple Regression] [] [2010-12-09 19:14:47] [7f2363d2c77d3bf71367965cc53be730]
-   PD    [Multiple Regression] [Multiple Regression] [2010-12-10 09:31:08] [8a9a6f7c332640af31ddca253a8ded58]
-   P       [Multiple Regression] [Multiple Regressi...] [2010-12-10 14:04:56] [8a9a6f7c332640af31ddca253a8ded58]
-   P         [Multiple Regression] [Multilpe Regressi...] [2010-12-10 14:15:08] [8a9a6f7c332640af31ddca253a8ded58]
-   PD    [Multiple Regression] [] [2010-12-10 09:44:18] [504b6ff240ec7a3fcbc007044ae7a0bb]
-   P       [Multiple Regression] [] [2010-12-21 11:34:30] [504b6ff240ec7a3fcbc007044ae7a0bb]
-   PD    [Multiple Regression] [] [2010-12-10 10:11:39] [3074aa973ede76ac75d398946b01602f]
-   PD    [Multiple Regression] [Faillissementen B...] [2010-12-10 10:18:38] [3074aa973ede76ac75d398946b01602f]
-   PD    [Multiple Regression] [Faillissementen B...] [2010-12-10 10:20:31] [3074aa973ede76ac75d398946b01602f]
-   PD    [Multiple Regression] [] [2010-12-10 10:34:03] [3074aa973ede76ac75d398946b01602f]
-   PD    [Multiple Regression] [Multiple regression ] [2010-12-10 10:42:21] [74deae64b71f9d77c839af86f7c687b5]
-   PD      [Multiple Regression] [multiple regression ] [2010-12-18 21:27:24] [74deae64b71f9d77c839af86f7c687b5]
- R         [Multiple Regression] [] [2011-12-13 15:34:03] [46d7ccc24e5d35a2decd922dfb3b3a39]
- R PD    [Multiple Regression] [ws 10 - mlr] [2010-12-10 13:00:07] [4eaa304e6a28c475ba490fccf4c01ad3]
-           [Multiple Regression] [] [2010-12-14 10:53:09] [d87a19cd5db53e12ea62bda70b3bb267]
- R PD    [Multiple Regression] [Workshop 10 - PE ...] [2010-12-10 13:00:10] [8b017ffbf7b0eded54d8efebfb3e4cfa]
-    D      [Multiple Regression] [computation 3] [2010-12-13 09:55:39] [dc30d19c3bc2be07fe595ad36c2cf923]
-   PD    [Multiple Regression] [workshop 10 - mul...] [2010-12-10 12:59:56] [956e8df26b41c50d9c6c2ec1b6a122a8]
F   PD    [Multiple Regression] [Workshop 10 - Mul...] [2010-12-10 13:00:14] [6f0e7a2d1a07390e3505a2db8288f975]
-   PD    [Multiple Regression] [Workshop 10, Mult...] [2010-12-10 13:01:24] [3635fb7041b1998c5a1332cf9de22bce]
-    D      [Multiple Regression] [WS 10 Kendall tau...] [2010-12-14 12:57:09] [8081b8996d5947580de3eb171e82db4f]
- R  D      [Multiple Regression] [] [2011-12-09 12:14:41] [74be16979710d4c4e7c6647856088456]
- R  D      [Multiple Regression] [Multiple Regression] [2011-12-11 12:15:31] [74be16979710d4c4e7c6647856088456]
- RMPD      [Kendall tau Correlation Matrix] [Kendall Tau Corre...] [2011-12-11 12:18:49] [147523945ddfd9cf10d509b57b5cab55]
- RM        [Multiple Regression] [] [2011-12-12 16:07:51] [74be16979710d4c4e7c6647856088456]
- RM        [Multiple Regression] [] [2011-12-12 19:34:12] [74be16979710d4c4e7c6647856088456]
-    D      [Multiple Regression] [WS 10] [2011-12-13 15:21:34] [43239ed98a62e091c70785d80176537f]
- RMPD    [Recursive Partitioning (Regression Trees)] [WS10] [2010-12-10 11:03:48] [c7506ced21a6c0dca45d37c8a93c80e0]
- RMPD    [Recursive Partitioning (Regression Trees)] [WS10] [2010-12-10 11:04:36] [c7506ced21a6c0dca45d37c8a93c80e0]
-   PD    [Multiple Regression] [WS10] [2010-12-10 13:19:53] [c7506ced21a6c0dca45d37c8a93c80e0]
- RMP       [Recursive Partitioning (Regression Trees)] [WS10 - MR] [2010-12-10 14:58:20] [4a7069087cf9e0eda253aeed7d8c30d6]
F   P         [Recursive Partitioning (Regression Trees)] [W10] [2010-12-14 09:09:52] [247f085ab5b7724f755ad01dc754a3e8]
-   PD    [Multiple Regression] [multiple regressi...] [2010-12-10 13:31:41] [9894f466352df31a128e82ec8d720241]
-    D      [Multiple Regression] [paper - multiple ...] [2010-12-21 20:42:43] [9894f466352df31a128e82ec8d720241]
-   PD    [Multiple Regression] [WS10, Multiple Re...] [2010-12-10 13:41:51] [d946de7cca328fbcf207448a112523ab]
-   PD    [Multiple Regression] [] [2010-12-10 14:50:29] [39e83c7b0ac936e906a817a1bb402750]
-   P       [Multiple Regression] [] [2010-12-10 15:14:43] [39e83c7b0ac936e906a817a1bb402750]
- RMP         [Kendall tau Correlation Matrix] [] [2010-12-19 19:44:21] [39e83c7b0ac936e906a817a1bb402750]
- RMP         [Kendall tau Correlation Matrix] [] [2010-12-19 19:44:21] [39e83c7b0ac936e906a817a1bb402750]
- RMPD        [Kendall tau Correlation Matrix] [] [2010-12-19 20:06:36] [39e83c7b0ac936e906a817a1bb402750]
-    D        [Multiple Regression] [] [2010-12-21 11:27:06] [39e83c7b0ac936e906a817a1bb402750]
-    D        [Multiple Regression] [] [2010-12-22 20:28:14] [39e83c7b0ac936e906a817a1bb402750]
- R PD    [Multiple Regression] [WS 10 Multiple Re...] [2010-12-10 16:40:54] [7b479c2bada71feddb7d988499871dfc]
-   PD    [Multiple Regression] [WS 10 - Multiple ...] [2010-12-10 20:15:37] [033eb2749a430605d9b2be7c4aac4a0c]
-   PD    [Multiple Regression] [WS 10 Multiple Re...] [2010-12-10 20:24:04] [49c7a512c56172bc46ae7e93e5b58c1c]
-   PD    [Multiple Regression] [Multiple Regressi...] [2010-12-11 07:26:18] [6ca0fc48dd5333d51a15728999009c83]
F           [Multiple Regression] [] [2010-12-14 18:47:29] [fc9068db680cd880760a7c0fccd81a61]
-   PD    [Multiple Regression] [] [2010-12-11 08:27:37] [f730b099f190102bcd41f590a8dae16d]

[Truncated]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1	1	41	38	13	12	14
1	1	39	32	16	11	18
1	1	30	35	19	15	11
1	0	31	33	15	6	12
1	1	34	37	14	13	16
1	1	35	29	13	10	18
1	1	39	31	19	12	14
1	1	34	36	15	14	14
1	1	36	35	14	12	15
1	1	37	38	15	9	15
1	0	38	31	16	10	17
1	1	36	34	16	12	19
1	0	38	35	16	12	10
1	1	39	38	16	11	16
1	1	33	37	17	15	18
1	0	32	33	15	12	14
1	0	36	32	15	10	14
1	1	38	38	20	12	17
1	0	39	38	18	11	14
1	1	32	32	16	12	16
1	0	32	33	16	11	18
1	1	31	31	16	12	11
1	1	39	38	19	13	14
1	1	37	39	16	11	12
1	0	39	32	17	12	17
1	1	41	32	17	13	9
1	0	36	35	16	10	16
1	1	33	37	15	14	14
1	1	33	33	16	12	15
1	0	34	33	14	10	11
1	1	31	31	15	12	16
1	0	27	32	12	8	13
1	1	37	31	14	10	17
1	1	34	37	16	12	15
1	0	34	30	14	12	14
1	0	32	33	10	7	16
1	0	29	31	10	9	9
1	0	36	33	14	12	15
1	1	29	31	16	10	17
1	0	35	33	16	10	13
1	0	37	32	16	10	15
1	1	34	33	14	12	16
1	0	38	32	20	15	16
1	0	35	33	14	10	12
1	1	38	28	14	10	15
1	1	37	35	11	12	11
1	1	38	39	14	13	15
1	1	33	34	15	11	15
1	1	36	38	16	11	17
1	0	38	32	14	12	13
1	1	32	38	16	14	16
1	0	32	30	14	10	14
1	0	32	33	12	12	11
1	1	34	38	16	13	12
1	0	32	32	9	5	12
1	1	37	35	14	6	15
1	1	39	34	16	12	16
1	1	29	34	16	12	15
1	0	37	36	15	11	12
1	1	35	34	16	10	12
1	0	30	28	12	7	8
1	0	38	34	16	12	13
1	1	34	35	16	14	11
1	1	31	35	14	11	14
1	1	34	31	16	12	15
1	0	35	37	17	13	10
1	1	36	35	18	14	11
1	0	30	27	18	11	12
1	1	39	40	12	12	15
1	0	35	37	16	12	15
1	0	38	36	10	8	14
1	1	31	38	14	11	16
1	1	34	39	18	14	15
1	0	38	41	18	14	15
1	0	34	27	16	12	13
1	1	39	30	17	9	12
1	1	37	37	16	13	17
1	1	34	31	16	11	13
1	0	28	31	13	12	15
1	0	37	27	16	12	13
1	0	33	36	16	12	15
1	1	35	37	16	12	15
1	0	37	33	15	12	16
1	1	32	34	15	11	15
1	1	33	31	16	10	14
1	0	38	39	14	9	15
1	1	33	34	16	12	14
1	1	29	32	16	12	13
1	1	33	33	15	12	7
1	1	31	36	12	9	17
1	1	36	32	17	15	13
1	1	35	41	16	12	15
1	1	32	28	15	12	14
1	1	29	30	13	12	13
1	1	39	36	16	10	16
1	1	37	35	16	13	12
1	1	35	31	16	9	14
1	0	37	34	16	12	17
1	0	32	36	14	10	15
1	1	38	36	16	14	17
1	0	37	35	16	11	12
1	1	36	37	20	15	16
1	0	32	28	15	11	11
1	1	33	39	16	11	15
1	0	40	32	13	12	9
1	1	38	35	17	12	16
1	0	41	39	16	12	15
1	0	36	35	16	11	10
1	1	43	42	12	7	10
1	1	30	34	16	12	15
1	1	31	33	16	14	11
1	1	32	41	17	11	13
1	1	37	34	12	10	18
1	0	37	32	18	13	16
1	1	33	40	14	13	14
1	1	34	40	14	8	14
1	1	33	35	13	11	14
1	1	38	36	16	12	14
1	0	33	37	13	11	12
1	1	31	27	16	13	14
1	1	38	39	13	12	15
1	1	37	38	16	14	15
1	1	36	31	15	13	15
1	1	31	33	16	15	13
1	0	39	32	15	10	17
1	1	44	39	17	11	17
1	1	33	36	15	9	19
1	1	35	33	12	11	15
1	0	32	33	16	10	13
1	0	28	32	10	11	9
1	1	40	37	16	8	15
1	0	27	30	12	11	15
1	0	37	38	14	12	15
1	1	32	29	15	12	16
1	0	28	22	13	9	11
1	0	34	35	15	11	14
1	1	30	35	11	10	11
1	1	35	34	12	8	15
1	0	31	35	11	9	13
1	1	32	34	16	8	15
1	0	30	37	15	9	16
1	1	30	35	17	15	14
1	0	31	23	16	11	15
1	1	40	31	10	8	16
1	1	32	27	18	13	16
1	0	36	36	13	12	11
1	0	32	31	16	12	12
1	0	35	32	13	9	9
1	1	38	39	10	7	16
1	1	42	37	15	13	13
1	0	34	38	16	9	16
1	1	35	39	16	6	12
1	1	38	34	14	8	9
1	1	33	31	10	8	13
1	1	32	37	13	6	14
1	1	33	36	15	9	19
1	1	34	32	16	11	13
1	1	32	38	12	8	12
0	0	27	26	13	10	10
0	0	31	26	12	8	14
0	0	38	33	17	14	16
0	1	34	39	15	10	10
0	0	24	30	10	8	11
0	0	30	33	14	11	14
0	1	26	25	11	12	12
0	1	34	38	13	12	9
0	0	27	37	16	12	9
0	0	37	31	12	5	11
0	1	36	37	16	12	16
0	0	41	35	12	10	9
0	1	29	25	9	7	13
0	1	36	28	12	12	16
0	0	32	35	15	11	13
0	1	37	33	12	8	9
0	0	30	30	12	9	12
0	1	31	31	14	10	16
0	1	38	37	12	9	11
0	1	36	36	16	12	14
0	0	35	30	11	6	13
0	0	31	36	19	15	15
0	0	38	32	15	12	14
0	1	22	28	8	12	16
0	1	32	36	16	12	13
0	0	36	34	17	11	14
0	1	39	31	12	7	15
0	0	28	28	11	7	13
0	0	32	36	11	5	11
0	1	32	36	14	12	11
0	1	38	40	16	12	14
0	1	32	33	12	3	15
0	1	35	37	16	11	11
0	1	32	32	13	10	15
0	0	37	38	15	12	12
0	1	34	31	16	9	14
0	1	33	37	16	12	14
0	0	33	33	14	9	8
0	0	30	30	16	12	9
0	0	24	30	14	10	15
0	0	34	31	11	9	17
0	0	34	32	12	12	13
0	1	33	34	15	8	15
0	1	34	36	15	11	15
0	1	35	37	16	11	14
0	0	35	36	16	12	16
0	0	36	33	11	10	13
0	0	34	33	15	10	16
0	1	34	33	12	12	9
0	0	41	44	12	12	16
0	0	32	39	15	11	11
0	0	30	32	15	8	10
0	1	35	35	16	12	11
0	0	28	25	14	10	15
0	1	33	35	17	11	17
0	1	39	34	14	10	14
0	0	36	35	13	8	8
0	1	36	39	15	12	15
0	0	35	33	13	12	11
0	0	38	36	14	10	16
0	1	33	32	15	12	10
0	0	31	32	12	9	15
0	1	32	36	8	6	16
0	0	31	32	14	10	19
0	0	33	34	14	9	12
0	0	34	33	11	9	8
0	0	34	35	12	9	11
0	1	34	30	13	6	14
0	0	33	38	10	10	9
0	0	32	34	16	6	15
0	1	41	33	18	14	13
0	1	34	32	13	10	16
0	0	36	31	11	10	11
0	0	37	30	4	6	12
0	0	36	27	13	12	13
0	1	29	31	16	12	10
0	0	37	30	10	7	11
0	0	27	32	12	8	12
0	0	35	35	12	11	8
0	0	28	28	10	3	12
0	0	35	33	13	6	12
0	0	29	35	12	8	11
0	0	32	35	14	9	13
0	1	36	32	10	9	14
0	1	19	21	12	8	10
0	1	21	20	12	9	12
0	0	31	34	11	7	15
0	0	33	32	10	7	13
0	1	36	34	12	6	13
0	1	33	32	16	9	13
0	0	37	33	12	10	12
0	0	34	33	14	11	12
0	0	35	37	16	12	9
0	1	31	32	14	8	9
0	1	37	34	13	11	15
0	1	35	30	4	3	10
0	1	27	30	15	11	14
0	0	34	38	11	12	15
0	0	40	36	11	7	7
0	0	29	32	14	9	14
0	0	38	34	15	12	8
0	1	34	33	14	8	10
0	0	21	27	13	11	13
0	0	36	32	11	8	13
0	1	38	34	15	10	13
0	0	30	29	11	8	8
0	0	35	35	13	7	12
0	1	30	27	13	8	13
0	1	36	33	16	10	12
0	0	34	38	13	8	10
0	1	35	36	16	12	13
0	0	34	33	16	14	12
0	0	32	39	12	7	9
0	1	33	29	7	6	15
0	0	33	32	16	11	13
0	1	26	34	5	4	13
0	0	35	38	16	9	13
0	0	21	17	4	5	15
0	0	38	35	12	9	15
0	0	35	32	15	11	14
0	1	33	34	14	12	15
0	0	37	36	11	9	11
0	0	38	31	16	12	15
0	1	34	35	15	10	14
0	0	27	29	12	9	13
0	1	16	22	6	6	12
0	0	40	41	16	10	16
0	0	36	36	10	9	16
0	1	42	42	15	13	9
0	1	30	33	14	12	14

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time17 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 17 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=105467&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]17 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=105467&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105467&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 time17 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Multiple Linear Regression - Estimated Regression Equation
Learning[t] = + 1.94933228525291 + 0.653493146925311Pop[t] + 0.0305177066962255Gender[t] + 0.0700025359624751Connected[t] + 0.0563924721194771Separate[t] + 0.623309096789488Software[t] + 0.0764750221538199Happiness[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Learning[t] =  +  1.94933228525291 +  0.653493146925311Pop[t] +  0.0305177066962255Gender[t] +  0.0700025359624751Connected[t] +  0.0563924721194771Separate[t] +  0.623309096789488Software[t] +  0.0764750221538199Happiness[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=105467&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Learning[t] =  +  1.94933228525291 +  0.653493146925311Pop[t] +  0.0305177066962255Gender[t] +  0.0700025359624751Connected[t] +  0.0563924721194771Separate[t] +  0.623309096789488Software[t] +  0.0764750221538199Happiness[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=105467&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105467&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
Learning[t] = + 1.94933228525291 + 0.653493146925311Pop[t] + 0.0305177066962255Gender[t] + 0.0700025359624751Connected[t] + 0.0563924721194771Separate[t] + 0.623309096789488Software[t] + 0.0764750221538199Happiness[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)1.949332285252911.2462661.56410.1189110.059455
Pop0.6534931469253110.2484842.62990.0090110.004506
Gender0.03051770669622550.2345460.13010.8965690.448285
Connected0.07000253596247510.032882.12910.0341190.017059
Separate0.05639247211947710.0342851.64480.1011260.050563
Software0.6233090967894880.05167212.062700
Happiness0.07647502215381990.0476151.60610.1093730.054687

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & 1.94933228525291 & 1.246266 & 1.5641 & 0.118911 & 0.059455 \tabularnewline
Pop & 0.653493146925311 & 0.248484 & 2.6299 & 0.009011 & 0.004506 \tabularnewline
Gender & 0.0305177066962255 & 0.234546 & 0.1301 & 0.896569 & 0.448285 \tabularnewline
Connected & 0.0700025359624751 & 0.03288 & 2.1291 & 0.034119 & 0.017059 \tabularnewline
Separate & 0.0563924721194771 & 0.034285 & 1.6448 & 0.101126 & 0.050563 \tabularnewline
Software & 0.623309096789488 & 0.051672 & 12.0627 & 0 & 0 \tabularnewline
Happiness & 0.0764750221538199 & 0.047615 & 1.6061 & 0.109373 & 0.054687 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=105467&T=2

[TABLE]
[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.D.[/C][C]T-STATH0: parameter = 0[/C][C]2-tail p-value[/C][C]1-tail p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]1.94933228525291[/C][C]1.246266[/C][C]1.5641[/C][C]0.118911[/C][C]0.059455[/C][/ROW]
[ROW][C]Pop[/C][C]0.653493146925311[/C][C]0.248484[/C][C]2.6299[/C][C]0.009011[/C][C]0.004506[/C][/ROW]
[ROW][C]Gender[/C][C]0.0305177066962255[/C][C]0.234546[/C][C]0.1301[/C][C]0.896569[/C][C]0.448285[/C][/ROW]
[ROW][C]Connected[/C][C]0.0700025359624751[/C][C]0.03288[/C][C]2.1291[/C][C]0.034119[/C][C]0.017059[/C][/ROW]
[ROW][C]Separate[/C][C]0.0563924721194771[/C][C]0.034285[/C][C]1.6448[/C][C]0.101126[/C][C]0.050563[/C][/ROW]
[ROW][C]Software[/C][C]0.623309096789488[/C][C]0.051672[/C][C]12.0627[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Happiness[/C][C]0.0764750221538199[/C][C]0.047615[/C][C]1.6061[/C][C]0.109373[/C][C]0.054687[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=105467&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105467&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)1.949332285252911.2462661.56410.1189110.059455
Pop0.6534931469253110.2484842.62990.0090110.004506
Gender0.03051770669622550.2345460.13010.8965690.448285
Connected0.07000253596247510.032882.12910.0341190.017059
Separate0.05639247211947710.0342851.64480.1011260.050563
Software0.6233090967894880.05167212.062700
Happiness0.07647502215381990.0476151.60610.1093730.054687






Multiple Linear Regression - Regression Statistics
Multiple R0.697110633887777
R-squared0.485963235879418
Adjusted R-squared0.47498736191243
F-TEST (value)44.2755845540013
F-TEST (DF numerator)6
F-TEST (DF denominator)281
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.89915449290688
Sum Squared Residuals1013.50736840787

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.697110633887777 \tabularnewline
R-squared & 0.485963235879418 \tabularnewline
Adjusted R-squared & 0.47498736191243 \tabularnewline
F-TEST (value) & 44.2755845540013 \tabularnewline
F-TEST (DF numerator) & 6 \tabularnewline
F-TEST (DF denominator) & 281 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 1.89915449290688 \tabularnewline
Sum Squared Residuals & 1013.50736840787 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=105467&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.697110633887777[/C][/ROW]
[ROW][C]R-squared[/C][C]0.485963235879418[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.47498736191243[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]44.2755845540013[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]6[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]281[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]1.89915449290688[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1013.50736840787[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=105467&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105467&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 R0.697110633887777
R-squared0.485963235879418
Adjusted R-squared0.47498736191243
F-TEST (value)44.2755845540013
F-TEST (DF numerator)6
F-TEST (DF denominator)281
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.89915449290688
Sum Squared Residuals1013.50736840787






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11316.1967205255037-3.19672052550372
21615.40095161268740.599048387312637
31916.89801743746482.10198256253522
41511.29141047354053.70858952645952
51416.4265694427437-2.42656944274373
61314.3284549556896-1.32845495568956
71915.66196814874213.33803185125788
81516.8405360231061-1.84053602310610
91415.7540054514864-1.75400545148642
101514.12325811343890.876741886561137
111614.54425477896591.45574522103410
121616.0035130679822-0.0035130679822237
131615.48111770594600.518882294053957
141615.58635640109660.413643598903391
151717.7561351446679-0.756135144667874
161515.2542176345475-0.254217634547518
171514.23121711269900.768782887301035
182016.21613798407743.78386201592256
191815.40288865009272.59711134990726
201615.38129291343190.618707086568091
211614.93680862637331.06319137362669
221614.87252279458091.12747720541914
231916.68002455036792.31997544963205
241615.19684371267590.803156287324143
251715.91726798062681.08273201937317
261716.09929967880690.900700321193066
271614.55334457336501.44665542663496
281516.8269259592631-1.82692595926311
291615.43121289936000.568787100639958
301413.91817944643200.0818205535679676
311515.2548979053500-0.254897905349957
321212.2781010733039-0.278101073303894
331414.5047699496997-0.504769949699651
341615.72678532380040.273214676199575
351415.2250452901140-1.22504529011404
361012.2906221949077-2.29062219490772
371012.6791226812836-2.67912268128358
381415.6107028005512-1.61070280055124
391613.94474966199992.05525033800015
401614.14113202670211.85886797329785
411614.37769467081531.62230532918474
421415.5776904574763-1.57769045747634
432017.6407177128792.35928228712101
441414.0646570045483-0.0646570045483274
451414.2526450249961-0.252645024996055
461115.5181078988336-4.51810789883362
471416.7428895086788-2.74288950867877
481514.86429627469000.135703725309969
491615.4528238153630.547176184636996
501415.5413653560491-1.54136535604907
511616.9662659397277-0.966265939727748
521413.83842202461010.161577975389889
531215.0247925680861-3.02479256808606
541616.1770618262479-0.177061826247930
55910.6817114405940-1.68171144059399
561412.08415340671201.91584659328803
571615.98409560940820.015904390591811
581615.20759522762960.792404772370382
591514.99714858962120.00285141037880324
601614.15156718336401.84843281663597
611211.25685458515480.743145414845177
621615.65415030028800.345849699711975
631616.5547184845252-0.554718484525167
641414.7042086527307-0.704208652730738
651615.38843049108360.611569508916438
661716.00720413908710.99279586091294
671816.69472355645011.30527644354988
681813.99959858880864.00040141119142
691216.2459754199712-4.24597541997123
701615.76627015306670.233729846933329
711013.3501738795228-3.35017387952285
721415.0263361133968-1.02633611339681
731817.08618846161840.913811538381645
741817.4484658430110.551534156989019
751614.97939285160181.02060714839821
761713.58269834194653.41730165805346
771616.7130520727850-0.713052072784978
781614.61217134998641.38782865001357
791314.9378975686125-1.93789756861248
801615.18940045948920.81059954051079
811615.56987260902220.430127390977756
821615.79678785976290.2032121402371
831515.7571803586675-0.757180358667533
841514.79429373872760.205706261272445
851613.99533473938832.00466526061171
861414.2191354148246-0.219135414824587
871615.41113034932570.588869650674301
881614.94186023908301.05813976091698
891514.81941272212950.180587277870518
901213.7434079977327-1.7434079977327
911717.3018052811888-0.301805281188814
921616.0223577482408-0.0223577482408084
931515.0027729806464-0.00277298064636092
941314.8290752948441-1.82907529484407
951614.85026236006821.14973763993183
961616.2178920177769-0.217892017776924
971613.51203071452382.48796928547625
981615.89004785294080.109952147059170
991414.2532518794808-0.253251879480793
1001617.3499712334175-1.34997123341746
1011614.94075611750171.05924388249828
1022017.81319270824772.18680729175234
1031514.11952111069920.880478889300815
1041615.14625863528740.853741364712584
1051315.3754703393587-2.37547033935874
1061715.97048554556521.02951445443481
1071616.2990703130805-0.299070313080476
1081614.71780353723161.28219646276840
1091213.1398499133435-1.13984991334355
1101615.27759776359210.722402236407907
1111616.2319259323988-0.231925932398788
1121715.03609099925631.96390900074374
1131214.7504223882119-2.75042238821190
1141816.32409698333751.67590301666246
1151416.3727942788320-2.37279427883205
1161413.32625133084710.673748669152915
1171314.8442137246557-1.84421372465569
1181615.87392797337700.126072026622972
1191314.7735309178908-1.77353091789077
1201615.49968706935390.500312930646103
1211316.1195804118893-3.11958041188928
1221617.2398035973863-1.23980359738630
1231516.151744659798-1.151744659798
1241617.0081850734959-1.00818507349592
1251514.67064978704790.32935021295215
1261716.06923657518230.930763424817718
1271514.03636311396530.963636886034711
1281214.9479088744955-2.94790887449550
1291613.93112441881472.06887558118528
1301013.9121308110196-3.91213081101955
1311613.65356415241732.34643584758268
1321214.1881934637410-2.18819346374104
1331415.9626676971111-1.9626676971111
1341515.2121154970735-0.212115497073478
1351312.25453794055340.745462059446554
1361514.88369855392190.116301446078066
1371113.7814719535173-2.78147195351732
1381213.1343740562465-1.13437405624652
1391113.3505977303017-2.35059773030171
1401612.92436644835913.07563355164091
1411513.62280520503971.37719479496035
1421717.1274425039262-0.127442503926215
1431614.07345630275461.92654369724540
1441013.3916843418543-3.39168434185428
1451815.7226396496242.27736035037599
1461315.4739801282944-2.47398012829439
1471614.98848264600091.01151735399908
1481313.1555303691779-0.155530369177903
1491013.0795099500957-3.07950995009566
1501516.7571646639821-1.75716466398207
1511613.95920782100902.04079217899097
1521611.94029315680354.05970684319653
1531412.88553153121101.11446846878898
1541012.6722415236555-2.67224152365550
1551311.77045064898471.22954935101527
1561514.03636311396530.963636886034711
1571614.66856382210591.33143617789409
1581212.9205112703755-0.92051127037554
1591312.30344622077920.69655377922076
1601211.64273825966540.357261740334557
1611716.42030794128370.579692058716324
1621513.5570838167661.44291618323400
1631011.1488653299446-1.14886532994457
1641413.83741031890780.162589681092228
1651113.6071371572801-2.60713715728013
1661314.6708345160717-1.67083451607167
1671614.09390658551861.90609341448136
1681210.24536347920781.75463652079224
1691615.28977227095390.710227729046113
1701213.7145389511754-1.71453895117536
171910.7770743033739-1.77707430337394
1721214.7822400218786-2.78224002187859
1731514.01372531291790.986274687082144
1741212.1056433762038-0.105643376203762
1751212.2686646646627-0.268664664662725
1761413.35478656484570.645213435154327
1771213.1774749417413-1.17747494174127
1781615.08042975452680.91957024547323
1791110.82522507626050.174774923739544
1801916.64630168054052.35369831945955
1811514.96434723127760.0356527687224169
182813.8022045184039-5.80220451840394
1831614.72394458852311.27605541147695
1841714.31381800680212.6861819931979
1851211.96840454002320.0315954599768104
1861110.84573147707370.154268522926336
1871110.17731315999280.822686840007234
1881414.5709945442154-0.57099454421541
1891615.44600471492960.553995285070372
190129.097935345366872.90206465463313
1911614.21408552743281.78591447256718
1921313.4047065507738-0.404706550773805
1931515.0797494837243-0.0797494837243312
1941612.78853503163603.21146496836403
1951614.92681461875881.07318538124118
1961412.34194960029331.6580503997067
1971613.90916688856972.09083311143027
1981412.70138361213881.29861638786118
1991112.9874423914012-1.9874423914012
2001214.6078620652739-2.60786206527386
2011512.34087583739632.65912416260374
2021514.39359060796620.606409392033848
2031614.44351059389431.55648940610572
2041615.13285955617570.867140443824294
2051113.5576414157393-2.55764141573931
2061513.64706141027581.35293858972418
2071214.3888721554743-2.38887215547429
2081216.0040145489064-4.00401454890637
2091514.08634515708810.913654842911875
2101511.60519046780463.39480953219545
2111614.72460967998341.27539032001664
2121412.69943139539131.30056860460866
2131714.42014564419182.57985435580816
2141413.93103422459630.0689657754037351
2151312.04143305563020.958566944369807
2161515.3260821930390-0.326082193039021
2171314.5813070290482-1.58130702904818
2181414.0962489704842-0.0962489704841555
2191514.33895216954620.661047830453843
2201212.6808772113256-0.680877211325614
221811.2135150742476-3.21351507424758
2221413.61008639673040.389913603269619
2231412.70424216102811.29575783897194
2241112.4119521362558-1.41195213625578
2251212.7541621469562-0.75416214695619
2261310.86221526914802.13778473085197
2271013.323696079834-3.32369607983399
2281610.99373740115865.00626259884142
2291816.43140818940591.56859181059413
2301313.6211866448526-0.621186644852575
2311113.2919064271927-2.29190642719272
232410.8887551260316-6.88875512603159
2331314.4659047766014-1.46590477660143
2341614.00254955357681.99745044642322
2351011.4355892006673-1.43558920066725
2361211.54813290422480.451867095775234
2371213.8413578100362-1.84135781003618
238108.27602006776191.72397993223811
2391310.91792747046512.08207252953493
2401211.78084037035430.219159629645673
2411412.76710711933891.23289288066112
2421012.9849325756804-2.98493257568040
2431210.24536308559931.75463691440069
2441211.10523482650190.894765173498093
2451111.5470439619856-0.547043961985592
2461011.4213140453639-1.42131404536395
2471211.15131520739710.848684792602932
2481612.69844994563923.30155005436085
2491213.5511689295480-1.55116892954797
2501413.96447041845000.0355295815499680
2511614.65392687321841.34607312678156
2521411.62923568830942.37076431169057
2531314.4908132716146-1.49081327161462
25448.75639042612676-4.75639042612676
2551513.48874300135811.51125699864186
2561115.0991669422984-4.09916694229837
2571111.6780515526563-0.678051552656262
2581412.46439711724681.53560288275316
2591514.61828204259360.381717957406382
2601411.97211079047022.02788920952984
2611312.79255764037480.207442359625186
2621112.2546307500409-1.25463075004086
2631513.78455666648001.21544333352003
2641111.2830630071385-0.28306300713848
2651311.65402151149351.34597848850649
2661311.58317088036491.41682911963515
2671613.51168410028172.48831589971828
2681312.22355544437130.776444555628686
2691614.93395219641051.06604780358953
2701615.83439770881850.165602291181504
2711211.44015872562250.559841274377467
272710.8122952832199-3.8122952832199
2731613.91455043252192.0854495674781
27459.20467165419334-4.20467165419334
2751613.14629214358472.85370785641526
27648.64172838275076-4.64172838275076
2771213.3400723794214-1.34007237942137
2781514.13103052660070.86896947339933
2791414.8341122245542-0.83411222455421
2801113.0205622269631-2.02056222696309
2811614.98442978131191.01557021868807
2821513.63741401690341.36258598309663
2831212.0787396068096-0.0787396068096423
28468.99807980056002-2.99807980056002
2851614.51821640300651.48178359699351
2861013.3329348017697-3.33293480176972
2871516.0797337890389-1.07973378903887
2881414.4912371223935-0.491237122393488

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 13 & 16.1967205255037 & -3.19672052550372 \tabularnewline
2 & 16 & 15.4009516126874 & 0.599048387312637 \tabularnewline
3 & 19 & 16.8980174374648 & 2.10198256253522 \tabularnewline
4 & 15 & 11.2914104735405 & 3.70858952645952 \tabularnewline
5 & 14 & 16.4265694427437 & -2.42656944274373 \tabularnewline
6 & 13 & 14.3284549556896 & -1.32845495568956 \tabularnewline
7 & 19 & 15.6619681487421 & 3.33803185125788 \tabularnewline
8 & 15 & 16.8405360231061 & -1.84053602310610 \tabularnewline
9 & 14 & 15.7540054514864 & -1.75400545148642 \tabularnewline
10 & 15 & 14.1232581134389 & 0.876741886561137 \tabularnewline
11 & 16 & 14.5442547789659 & 1.45574522103410 \tabularnewline
12 & 16 & 16.0035130679822 & -0.0035130679822237 \tabularnewline
13 & 16 & 15.4811177059460 & 0.518882294053957 \tabularnewline
14 & 16 & 15.5863564010966 & 0.413643598903391 \tabularnewline
15 & 17 & 17.7561351446679 & -0.756135144667874 \tabularnewline
16 & 15 & 15.2542176345475 & -0.254217634547518 \tabularnewline
17 & 15 & 14.2312171126990 & 0.768782887301035 \tabularnewline
18 & 20 & 16.2161379840774 & 3.78386201592256 \tabularnewline
19 & 18 & 15.4028886500927 & 2.59711134990726 \tabularnewline
20 & 16 & 15.3812929134319 & 0.618707086568091 \tabularnewline
21 & 16 & 14.9368086263733 & 1.06319137362669 \tabularnewline
22 & 16 & 14.8725227945809 & 1.12747720541914 \tabularnewline
23 & 19 & 16.6800245503679 & 2.31997544963205 \tabularnewline
24 & 16 & 15.1968437126759 & 0.803156287324143 \tabularnewline
25 & 17 & 15.9172679806268 & 1.08273201937317 \tabularnewline
26 & 17 & 16.0992996788069 & 0.900700321193066 \tabularnewline
27 & 16 & 14.5533445733650 & 1.44665542663496 \tabularnewline
28 & 15 & 16.8269259592631 & -1.82692595926311 \tabularnewline
29 & 16 & 15.4312128993600 & 0.568787100639958 \tabularnewline
30 & 14 & 13.9181794464320 & 0.0818205535679676 \tabularnewline
31 & 15 & 15.2548979053500 & -0.254897905349957 \tabularnewline
32 & 12 & 12.2781010733039 & -0.278101073303894 \tabularnewline
33 & 14 & 14.5047699496997 & -0.504769949699651 \tabularnewline
34 & 16 & 15.7267853238004 & 0.273214676199575 \tabularnewline
35 & 14 & 15.2250452901140 & -1.22504529011404 \tabularnewline
36 & 10 & 12.2906221949077 & -2.29062219490772 \tabularnewline
37 & 10 & 12.6791226812836 & -2.67912268128358 \tabularnewline
38 & 14 & 15.6107028005512 & -1.61070280055124 \tabularnewline
39 & 16 & 13.9447496619999 & 2.05525033800015 \tabularnewline
40 & 16 & 14.1411320267021 & 1.85886797329785 \tabularnewline
41 & 16 & 14.3776946708153 & 1.62230532918474 \tabularnewline
42 & 14 & 15.5776904574763 & -1.57769045747634 \tabularnewline
43 & 20 & 17.640717712879 & 2.35928228712101 \tabularnewline
44 & 14 & 14.0646570045483 & -0.0646570045483274 \tabularnewline
45 & 14 & 14.2526450249961 & -0.252645024996055 \tabularnewline
46 & 11 & 15.5181078988336 & -4.51810789883362 \tabularnewline
47 & 14 & 16.7428895086788 & -2.74288950867877 \tabularnewline
48 & 15 & 14.8642962746900 & 0.135703725309969 \tabularnewline
49 & 16 & 15.452823815363 & 0.547176184636996 \tabularnewline
50 & 14 & 15.5413653560491 & -1.54136535604907 \tabularnewline
51 & 16 & 16.9662659397277 & -0.966265939727748 \tabularnewline
52 & 14 & 13.8384220246101 & 0.161577975389889 \tabularnewline
53 & 12 & 15.0247925680861 & -3.02479256808606 \tabularnewline
54 & 16 & 16.1770618262479 & -0.177061826247930 \tabularnewline
55 & 9 & 10.6817114405940 & -1.68171144059399 \tabularnewline
56 & 14 & 12.0841534067120 & 1.91584659328803 \tabularnewline
57 & 16 & 15.9840956094082 & 0.015904390591811 \tabularnewline
58 & 16 & 15.2075952276296 & 0.792404772370382 \tabularnewline
59 & 15 & 14.9971485896212 & 0.00285141037880324 \tabularnewline
60 & 16 & 14.1515671833640 & 1.84843281663597 \tabularnewline
61 & 12 & 11.2568545851548 & 0.743145414845177 \tabularnewline
62 & 16 & 15.6541503002880 & 0.345849699711975 \tabularnewline
63 & 16 & 16.5547184845252 & -0.554718484525167 \tabularnewline
64 & 14 & 14.7042086527307 & -0.704208652730738 \tabularnewline
65 & 16 & 15.3884304910836 & 0.611569508916438 \tabularnewline
66 & 17 & 16.0072041390871 & 0.99279586091294 \tabularnewline
67 & 18 & 16.6947235564501 & 1.30527644354988 \tabularnewline
68 & 18 & 13.9995985888086 & 4.00040141119142 \tabularnewline
69 & 12 & 16.2459754199712 & -4.24597541997123 \tabularnewline
70 & 16 & 15.7662701530667 & 0.233729846933329 \tabularnewline
71 & 10 & 13.3501738795228 & -3.35017387952285 \tabularnewline
72 & 14 & 15.0263361133968 & -1.02633611339681 \tabularnewline
73 & 18 & 17.0861884616184 & 0.913811538381645 \tabularnewline
74 & 18 & 17.448465843011 & 0.551534156989019 \tabularnewline
75 & 16 & 14.9793928516018 & 1.02060714839821 \tabularnewline
76 & 17 & 13.5826983419465 & 3.41730165805346 \tabularnewline
77 & 16 & 16.7130520727850 & -0.713052072784978 \tabularnewline
78 & 16 & 14.6121713499864 & 1.38782865001357 \tabularnewline
79 & 13 & 14.9378975686125 & -1.93789756861248 \tabularnewline
80 & 16 & 15.1894004594892 & 0.81059954051079 \tabularnewline
81 & 16 & 15.5698726090222 & 0.430127390977756 \tabularnewline
82 & 16 & 15.7967878597629 & 0.2032121402371 \tabularnewline
83 & 15 & 15.7571803586675 & -0.757180358667533 \tabularnewline
84 & 15 & 14.7942937387276 & 0.205706261272445 \tabularnewline
85 & 16 & 13.9953347393883 & 2.00466526061171 \tabularnewline
86 & 14 & 14.2191354148246 & -0.219135414824587 \tabularnewline
87 & 16 & 15.4111303493257 & 0.588869650674301 \tabularnewline
88 & 16 & 14.9418602390830 & 1.05813976091698 \tabularnewline
89 & 15 & 14.8194127221295 & 0.180587277870518 \tabularnewline
90 & 12 & 13.7434079977327 & -1.7434079977327 \tabularnewline
91 & 17 & 17.3018052811888 & -0.301805281188814 \tabularnewline
92 & 16 & 16.0223577482408 & -0.0223577482408084 \tabularnewline
93 & 15 & 15.0027729806464 & -0.00277298064636092 \tabularnewline
94 & 13 & 14.8290752948441 & -1.82907529484407 \tabularnewline
95 & 16 & 14.8502623600682 & 1.14973763993183 \tabularnewline
96 & 16 & 16.2178920177769 & -0.217892017776924 \tabularnewline
97 & 16 & 13.5120307145238 & 2.48796928547625 \tabularnewline
98 & 16 & 15.8900478529408 & 0.109952147059170 \tabularnewline
99 & 14 & 14.2532518794808 & -0.253251879480793 \tabularnewline
100 & 16 & 17.3499712334175 & -1.34997123341746 \tabularnewline
101 & 16 & 14.9407561175017 & 1.05924388249828 \tabularnewline
102 & 20 & 17.8131927082477 & 2.18680729175234 \tabularnewline
103 & 15 & 14.1195211106992 & 0.880478889300815 \tabularnewline
104 & 16 & 15.1462586352874 & 0.853741364712584 \tabularnewline
105 & 13 & 15.3754703393587 & -2.37547033935874 \tabularnewline
106 & 17 & 15.9704855455652 & 1.02951445443481 \tabularnewline
107 & 16 & 16.2990703130805 & -0.299070313080476 \tabularnewline
108 & 16 & 14.7178035372316 & 1.28219646276840 \tabularnewline
109 & 12 & 13.1398499133435 & -1.13984991334355 \tabularnewline
110 & 16 & 15.2775977635921 & 0.722402236407907 \tabularnewline
111 & 16 & 16.2319259323988 & -0.231925932398788 \tabularnewline
112 & 17 & 15.0360909992563 & 1.96390900074374 \tabularnewline
113 & 12 & 14.7504223882119 & -2.75042238821190 \tabularnewline
114 & 18 & 16.3240969833375 & 1.67590301666246 \tabularnewline
115 & 14 & 16.3727942788320 & -2.37279427883205 \tabularnewline
116 & 14 & 13.3262513308471 & 0.673748669152915 \tabularnewline
117 & 13 & 14.8442137246557 & -1.84421372465569 \tabularnewline
118 & 16 & 15.8739279733770 & 0.126072026622972 \tabularnewline
119 & 13 & 14.7735309178908 & -1.77353091789077 \tabularnewline
120 & 16 & 15.4996870693539 & 0.500312930646103 \tabularnewline
121 & 13 & 16.1195804118893 & -3.11958041188928 \tabularnewline
122 & 16 & 17.2398035973863 & -1.23980359738630 \tabularnewline
123 & 15 & 16.151744659798 & -1.151744659798 \tabularnewline
124 & 16 & 17.0081850734959 & -1.00818507349592 \tabularnewline
125 & 15 & 14.6706497870479 & 0.32935021295215 \tabularnewline
126 & 17 & 16.0692365751823 & 0.930763424817718 \tabularnewline
127 & 15 & 14.0363631139653 & 0.963636886034711 \tabularnewline
128 & 12 & 14.9479088744955 & -2.94790887449550 \tabularnewline
129 & 16 & 13.9311244188147 & 2.06887558118528 \tabularnewline
130 & 10 & 13.9121308110196 & -3.91213081101955 \tabularnewline
131 & 16 & 13.6535641524173 & 2.34643584758268 \tabularnewline
132 & 12 & 14.1881934637410 & -2.18819346374104 \tabularnewline
133 & 14 & 15.9626676971111 & -1.9626676971111 \tabularnewline
134 & 15 & 15.2121154970735 & -0.212115497073478 \tabularnewline
135 & 13 & 12.2545379405534 & 0.745462059446554 \tabularnewline
136 & 15 & 14.8836985539219 & 0.116301446078066 \tabularnewline
137 & 11 & 13.7814719535173 & -2.78147195351732 \tabularnewline
138 & 12 & 13.1343740562465 & -1.13437405624652 \tabularnewline
139 & 11 & 13.3505977303017 & -2.35059773030171 \tabularnewline
140 & 16 & 12.9243664483591 & 3.07563355164091 \tabularnewline
141 & 15 & 13.6228052050397 & 1.37719479496035 \tabularnewline
142 & 17 & 17.1274425039262 & -0.127442503926215 \tabularnewline
143 & 16 & 14.0734563027546 & 1.92654369724540 \tabularnewline
144 & 10 & 13.3916843418543 & -3.39168434185428 \tabularnewline
145 & 18 & 15.722639649624 & 2.27736035037599 \tabularnewline
146 & 13 & 15.4739801282944 & -2.47398012829439 \tabularnewline
147 & 16 & 14.9884826460009 & 1.01151735399908 \tabularnewline
148 & 13 & 13.1555303691779 & -0.155530369177903 \tabularnewline
149 & 10 & 13.0795099500957 & -3.07950995009566 \tabularnewline
150 & 15 & 16.7571646639821 & -1.75716466398207 \tabularnewline
151 & 16 & 13.9592078210090 & 2.04079217899097 \tabularnewline
152 & 16 & 11.9402931568035 & 4.05970684319653 \tabularnewline
153 & 14 & 12.8855315312110 & 1.11446846878898 \tabularnewline
154 & 10 & 12.6722415236555 & -2.67224152365550 \tabularnewline
155 & 13 & 11.7704506489847 & 1.22954935101527 \tabularnewline
156 & 15 & 14.0363631139653 & 0.963636886034711 \tabularnewline
157 & 16 & 14.6685638221059 & 1.33143617789409 \tabularnewline
158 & 12 & 12.9205112703755 & -0.92051127037554 \tabularnewline
159 & 13 & 12.3034462207792 & 0.69655377922076 \tabularnewline
160 & 12 & 11.6427382596654 & 0.357261740334557 \tabularnewline
161 & 17 & 16.4203079412837 & 0.579692058716324 \tabularnewline
162 & 15 & 13.557083816766 & 1.44291618323400 \tabularnewline
163 & 10 & 11.1488653299446 & -1.14886532994457 \tabularnewline
164 & 14 & 13.8374103189078 & 0.162589681092228 \tabularnewline
165 & 11 & 13.6071371572801 & -2.60713715728013 \tabularnewline
166 & 13 & 14.6708345160717 & -1.67083451607167 \tabularnewline
167 & 16 & 14.0939065855186 & 1.90609341448136 \tabularnewline
168 & 12 & 10.2453634792078 & 1.75463652079224 \tabularnewline
169 & 16 & 15.2897722709539 & 0.710227729046113 \tabularnewline
170 & 12 & 13.7145389511754 & -1.71453895117536 \tabularnewline
171 & 9 & 10.7770743033739 & -1.77707430337394 \tabularnewline
172 & 12 & 14.7822400218786 & -2.78224002187859 \tabularnewline
173 & 15 & 14.0137253129179 & 0.986274687082144 \tabularnewline
174 & 12 & 12.1056433762038 & -0.105643376203762 \tabularnewline
175 & 12 & 12.2686646646627 & -0.268664664662725 \tabularnewline
176 & 14 & 13.3547865648457 & 0.645213435154327 \tabularnewline
177 & 12 & 13.1774749417413 & -1.17747494174127 \tabularnewline
178 & 16 & 15.0804297545268 & 0.91957024547323 \tabularnewline
179 & 11 & 10.8252250762605 & 0.174774923739544 \tabularnewline
180 & 19 & 16.6463016805405 & 2.35369831945955 \tabularnewline
181 & 15 & 14.9643472312776 & 0.0356527687224169 \tabularnewline
182 & 8 & 13.8022045184039 & -5.80220451840394 \tabularnewline
183 & 16 & 14.7239445885231 & 1.27605541147695 \tabularnewline
184 & 17 & 14.3138180068021 & 2.6861819931979 \tabularnewline
185 & 12 & 11.9684045400232 & 0.0315954599768104 \tabularnewline
186 & 11 & 10.8457314770737 & 0.154268522926336 \tabularnewline
187 & 11 & 10.1773131599928 & 0.822686840007234 \tabularnewline
188 & 14 & 14.5709945442154 & -0.57099454421541 \tabularnewline
189 & 16 & 15.4460047149296 & 0.553995285070372 \tabularnewline
190 & 12 & 9.09793534536687 & 2.90206465463313 \tabularnewline
191 & 16 & 14.2140855274328 & 1.78591447256718 \tabularnewline
192 & 13 & 13.4047065507738 & -0.404706550773805 \tabularnewline
193 & 15 & 15.0797494837243 & -0.0797494837243312 \tabularnewline
194 & 16 & 12.7885350316360 & 3.21146496836403 \tabularnewline
195 & 16 & 14.9268146187588 & 1.07318538124118 \tabularnewline
196 & 14 & 12.3419496002933 & 1.6580503997067 \tabularnewline
197 & 16 & 13.9091668885697 & 2.09083311143027 \tabularnewline
198 & 14 & 12.7013836121388 & 1.29861638786118 \tabularnewline
199 & 11 & 12.9874423914012 & -1.9874423914012 \tabularnewline
200 & 12 & 14.6078620652739 & -2.60786206527386 \tabularnewline
201 & 15 & 12.3408758373963 & 2.65912416260374 \tabularnewline
202 & 15 & 14.3935906079662 & 0.606409392033848 \tabularnewline
203 & 16 & 14.4435105938943 & 1.55648940610572 \tabularnewline
204 & 16 & 15.1328595561757 & 0.867140443824294 \tabularnewline
205 & 11 & 13.5576414157393 & -2.55764141573931 \tabularnewline
206 & 15 & 13.6470614102758 & 1.35293858972418 \tabularnewline
207 & 12 & 14.3888721554743 & -2.38887215547429 \tabularnewline
208 & 12 & 16.0040145489064 & -4.00401454890637 \tabularnewline
209 & 15 & 14.0863451570881 & 0.913654842911875 \tabularnewline
210 & 15 & 11.6051904678046 & 3.39480953219545 \tabularnewline
211 & 16 & 14.7246096799834 & 1.27539032001664 \tabularnewline
212 & 14 & 12.6994313953913 & 1.30056860460866 \tabularnewline
213 & 17 & 14.4201456441918 & 2.57985435580816 \tabularnewline
214 & 14 & 13.9310342245963 & 0.0689657754037351 \tabularnewline
215 & 13 & 12.0414330556302 & 0.958566944369807 \tabularnewline
216 & 15 & 15.3260821930390 & -0.326082193039021 \tabularnewline
217 & 13 & 14.5813070290482 & -1.58130702904818 \tabularnewline
218 & 14 & 14.0962489704842 & -0.0962489704841555 \tabularnewline
219 & 15 & 14.3389521695462 & 0.661047830453843 \tabularnewline
220 & 12 & 12.6808772113256 & -0.680877211325614 \tabularnewline
221 & 8 & 11.2135150742476 & -3.21351507424758 \tabularnewline
222 & 14 & 13.6100863967304 & 0.389913603269619 \tabularnewline
223 & 14 & 12.7042421610281 & 1.29575783897194 \tabularnewline
224 & 11 & 12.4119521362558 & -1.41195213625578 \tabularnewline
225 & 12 & 12.7541621469562 & -0.75416214695619 \tabularnewline
226 & 13 & 10.8622152691480 & 2.13778473085197 \tabularnewline
227 & 10 & 13.323696079834 & -3.32369607983399 \tabularnewline
228 & 16 & 10.9937374011586 & 5.00626259884142 \tabularnewline
229 & 18 & 16.4314081894059 & 1.56859181059413 \tabularnewline
230 & 13 & 13.6211866448526 & -0.621186644852575 \tabularnewline
231 & 11 & 13.2919064271927 & -2.29190642719272 \tabularnewline
232 & 4 & 10.8887551260316 & -6.88875512603159 \tabularnewline
233 & 13 & 14.4659047766014 & -1.46590477660143 \tabularnewline
234 & 16 & 14.0025495535768 & 1.99745044642322 \tabularnewline
235 & 10 & 11.4355892006673 & -1.43558920066725 \tabularnewline
236 & 12 & 11.5481329042248 & 0.451867095775234 \tabularnewline
237 & 12 & 13.8413578100362 & -1.84135781003618 \tabularnewline
238 & 10 & 8.2760200677619 & 1.72397993223811 \tabularnewline
239 & 13 & 10.9179274704651 & 2.08207252953493 \tabularnewline
240 & 12 & 11.7808403703543 & 0.219159629645673 \tabularnewline
241 & 14 & 12.7671071193389 & 1.23289288066112 \tabularnewline
242 & 10 & 12.9849325756804 & -2.98493257568040 \tabularnewline
243 & 12 & 10.2453630855993 & 1.75463691440069 \tabularnewline
244 & 12 & 11.1052348265019 & 0.894765173498093 \tabularnewline
245 & 11 & 11.5470439619856 & -0.547043961985592 \tabularnewline
246 & 10 & 11.4213140453639 & -1.42131404536395 \tabularnewline
247 & 12 & 11.1513152073971 & 0.848684792602932 \tabularnewline
248 & 16 & 12.6984499456392 & 3.30155005436085 \tabularnewline
249 & 12 & 13.5511689295480 & -1.55116892954797 \tabularnewline
250 & 14 & 13.9644704184500 & 0.0355295815499680 \tabularnewline
251 & 16 & 14.6539268732184 & 1.34607312678156 \tabularnewline
252 & 14 & 11.6292356883094 & 2.37076431169057 \tabularnewline
253 & 13 & 14.4908132716146 & -1.49081327161462 \tabularnewline
254 & 4 & 8.75639042612676 & -4.75639042612676 \tabularnewline
255 & 15 & 13.4887430013581 & 1.51125699864186 \tabularnewline
256 & 11 & 15.0991669422984 & -4.09916694229837 \tabularnewline
257 & 11 & 11.6780515526563 & -0.678051552656262 \tabularnewline
258 & 14 & 12.4643971172468 & 1.53560288275316 \tabularnewline
259 & 15 & 14.6182820425936 & 0.381717957406382 \tabularnewline
260 & 14 & 11.9721107904702 & 2.02788920952984 \tabularnewline
261 & 13 & 12.7925576403748 & 0.207442359625186 \tabularnewline
262 & 11 & 12.2546307500409 & -1.25463075004086 \tabularnewline
263 & 15 & 13.7845566664800 & 1.21544333352003 \tabularnewline
264 & 11 & 11.2830630071385 & -0.28306300713848 \tabularnewline
265 & 13 & 11.6540215114935 & 1.34597848850649 \tabularnewline
266 & 13 & 11.5831708803649 & 1.41682911963515 \tabularnewline
267 & 16 & 13.5116841002817 & 2.48831589971828 \tabularnewline
268 & 13 & 12.2235554443713 & 0.776444555628686 \tabularnewline
269 & 16 & 14.9339521964105 & 1.06604780358953 \tabularnewline
270 & 16 & 15.8343977088185 & 0.165602291181504 \tabularnewline
271 & 12 & 11.4401587256225 & 0.559841274377467 \tabularnewline
272 & 7 & 10.8122952832199 & -3.8122952832199 \tabularnewline
273 & 16 & 13.9145504325219 & 2.0854495674781 \tabularnewline
274 & 5 & 9.20467165419334 & -4.20467165419334 \tabularnewline
275 & 16 & 13.1462921435847 & 2.85370785641526 \tabularnewline
276 & 4 & 8.64172838275076 & -4.64172838275076 \tabularnewline
277 & 12 & 13.3400723794214 & -1.34007237942137 \tabularnewline
278 & 15 & 14.1310305266007 & 0.86896947339933 \tabularnewline
279 & 14 & 14.8341122245542 & -0.83411222455421 \tabularnewline
280 & 11 & 13.0205622269631 & -2.02056222696309 \tabularnewline
281 & 16 & 14.9844297813119 & 1.01557021868807 \tabularnewline
282 & 15 & 13.6374140169034 & 1.36258598309663 \tabularnewline
283 & 12 & 12.0787396068096 & -0.0787396068096423 \tabularnewline
284 & 6 & 8.99807980056002 & -2.99807980056002 \tabularnewline
285 & 16 & 14.5182164030065 & 1.48178359699351 \tabularnewline
286 & 10 & 13.3329348017697 & -3.33293480176972 \tabularnewline
287 & 15 & 16.0797337890389 & -1.07973378903887 \tabularnewline
288 & 14 & 14.4912371223935 & -0.491237122393488 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=105467&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]13[/C][C]16.1967205255037[/C][C]-3.19672052550372[/C][/ROW]
[ROW][C]2[/C][C]16[/C][C]15.4009516126874[/C][C]0.599048387312637[/C][/ROW]
[ROW][C]3[/C][C]19[/C][C]16.8980174374648[/C][C]2.10198256253522[/C][/ROW]
[ROW][C]4[/C][C]15[/C][C]11.2914104735405[/C][C]3.70858952645952[/C][/ROW]
[ROW][C]5[/C][C]14[/C][C]16.4265694427437[/C][C]-2.42656944274373[/C][/ROW]
[ROW][C]6[/C][C]13[/C][C]14.3284549556896[/C][C]-1.32845495568956[/C][/ROW]
[ROW][C]7[/C][C]19[/C][C]15.6619681487421[/C][C]3.33803185125788[/C][/ROW]
[ROW][C]8[/C][C]15[/C][C]16.8405360231061[/C][C]-1.84053602310610[/C][/ROW]
[ROW][C]9[/C][C]14[/C][C]15.7540054514864[/C][C]-1.75400545148642[/C][/ROW]
[ROW][C]10[/C][C]15[/C][C]14.1232581134389[/C][C]0.876741886561137[/C][/ROW]
[ROW][C]11[/C][C]16[/C][C]14.5442547789659[/C][C]1.45574522103410[/C][/ROW]
[ROW][C]12[/C][C]16[/C][C]16.0035130679822[/C][C]-0.0035130679822237[/C][/ROW]
[ROW][C]13[/C][C]16[/C][C]15.4811177059460[/C][C]0.518882294053957[/C][/ROW]
[ROW][C]14[/C][C]16[/C][C]15.5863564010966[/C][C]0.413643598903391[/C][/ROW]
[ROW][C]15[/C][C]17[/C][C]17.7561351446679[/C][C]-0.756135144667874[/C][/ROW]
[ROW][C]16[/C][C]15[/C][C]15.2542176345475[/C][C]-0.254217634547518[/C][/ROW]
[ROW][C]17[/C][C]15[/C][C]14.2312171126990[/C][C]0.768782887301035[/C][/ROW]
[ROW][C]18[/C][C]20[/C][C]16.2161379840774[/C][C]3.78386201592256[/C][/ROW]
[ROW][C]19[/C][C]18[/C][C]15.4028886500927[/C][C]2.59711134990726[/C][/ROW]
[ROW][C]20[/C][C]16[/C][C]15.3812929134319[/C][C]0.618707086568091[/C][/ROW]
[ROW][C]21[/C][C]16[/C][C]14.9368086263733[/C][C]1.06319137362669[/C][/ROW]
[ROW][C]22[/C][C]16[/C][C]14.8725227945809[/C][C]1.12747720541914[/C][/ROW]
[ROW][C]23[/C][C]19[/C][C]16.6800245503679[/C][C]2.31997544963205[/C][/ROW]
[ROW][C]24[/C][C]16[/C][C]15.1968437126759[/C][C]0.803156287324143[/C][/ROW]
[ROW][C]25[/C][C]17[/C][C]15.9172679806268[/C][C]1.08273201937317[/C][/ROW]
[ROW][C]26[/C][C]17[/C][C]16.0992996788069[/C][C]0.900700321193066[/C][/ROW]
[ROW][C]27[/C][C]16[/C][C]14.5533445733650[/C][C]1.44665542663496[/C][/ROW]
[ROW][C]28[/C][C]15[/C][C]16.8269259592631[/C][C]-1.82692595926311[/C][/ROW]
[ROW][C]29[/C][C]16[/C][C]15.4312128993600[/C][C]0.568787100639958[/C][/ROW]
[ROW][C]30[/C][C]14[/C][C]13.9181794464320[/C][C]0.0818205535679676[/C][/ROW]
[ROW][C]31[/C][C]15[/C][C]15.2548979053500[/C][C]-0.254897905349957[/C][/ROW]
[ROW][C]32[/C][C]12[/C][C]12.2781010733039[/C][C]-0.278101073303894[/C][/ROW]
[ROW][C]33[/C][C]14[/C][C]14.5047699496997[/C][C]-0.504769949699651[/C][/ROW]
[ROW][C]34[/C][C]16[/C][C]15.7267853238004[/C][C]0.273214676199575[/C][/ROW]
[ROW][C]35[/C][C]14[/C][C]15.2250452901140[/C][C]-1.22504529011404[/C][/ROW]
[ROW][C]36[/C][C]10[/C][C]12.2906221949077[/C][C]-2.29062219490772[/C][/ROW]
[ROW][C]37[/C][C]10[/C][C]12.6791226812836[/C][C]-2.67912268128358[/C][/ROW]
[ROW][C]38[/C][C]14[/C][C]15.6107028005512[/C][C]-1.61070280055124[/C][/ROW]
[ROW][C]39[/C][C]16[/C][C]13.9447496619999[/C][C]2.05525033800015[/C][/ROW]
[ROW][C]40[/C][C]16[/C][C]14.1411320267021[/C][C]1.85886797329785[/C][/ROW]
[ROW][C]41[/C][C]16[/C][C]14.3776946708153[/C][C]1.62230532918474[/C][/ROW]
[ROW][C]42[/C][C]14[/C][C]15.5776904574763[/C][C]-1.57769045747634[/C][/ROW]
[ROW][C]43[/C][C]20[/C][C]17.640717712879[/C][C]2.35928228712101[/C][/ROW]
[ROW][C]44[/C][C]14[/C][C]14.0646570045483[/C][C]-0.0646570045483274[/C][/ROW]
[ROW][C]45[/C][C]14[/C][C]14.2526450249961[/C][C]-0.252645024996055[/C][/ROW]
[ROW][C]46[/C][C]11[/C][C]15.5181078988336[/C][C]-4.51810789883362[/C][/ROW]
[ROW][C]47[/C][C]14[/C][C]16.7428895086788[/C][C]-2.74288950867877[/C][/ROW]
[ROW][C]48[/C][C]15[/C][C]14.8642962746900[/C][C]0.135703725309969[/C][/ROW]
[ROW][C]49[/C][C]16[/C][C]15.452823815363[/C][C]0.547176184636996[/C][/ROW]
[ROW][C]50[/C][C]14[/C][C]15.5413653560491[/C][C]-1.54136535604907[/C][/ROW]
[ROW][C]51[/C][C]16[/C][C]16.9662659397277[/C][C]-0.966265939727748[/C][/ROW]
[ROW][C]52[/C][C]14[/C][C]13.8384220246101[/C][C]0.161577975389889[/C][/ROW]
[ROW][C]53[/C][C]12[/C][C]15.0247925680861[/C][C]-3.02479256808606[/C][/ROW]
[ROW][C]54[/C][C]16[/C][C]16.1770618262479[/C][C]-0.177061826247930[/C][/ROW]
[ROW][C]55[/C][C]9[/C][C]10.6817114405940[/C][C]-1.68171144059399[/C][/ROW]
[ROW][C]56[/C][C]14[/C][C]12.0841534067120[/C][C]1.91584659328803[/C][/ROW]
[ROW][C]57[/C][C]16[/C][C]15.9840956094082[/C][C]0.015904390591811[/C][/ROW]
[ROW][C]58[/C][C]16[/C][C]15.2075952276296[/C][C]0.792404772370382[/C][/ROW]
[ROW][C]59[/C][C]15[/C][C]14.9971485896212[/C][C]0.00285141037880324[/C][/ROW]
[ROW][C]60[/C][C]16[/C][C]14.1515671833640[/C][C]1.84843281663597[/C][/ROW]
[ROW][C]61[/C][C]12[/C][C]11.2568545851548[/C][C]0.743145414845177[/C][/ROW]
[ROW][C]62[/C][C]16[/C][C]15.6541503002880[/C][C]0.345849699711975[/C][/ROW]
[ROW][C]63[/C][C]16[/C][C]16.5547184845252[/C][C]-0.554718484525167[/C][/ROW]
[ROW][C]64[/C][C]14[/C][C]14.7042086527307[/C][C]-0.704208652730738[/C][/ROW]
[ROW][C]65[/C][C]16[/C][C]15.3884304910836[/C][C]0.611569508916438[/C][/ROW]
[ROW][C]66[/C][C]17[/C][C]16.0072041390871[/C][C]0.99279586091294[/C][/ROW]
[ROW][C]67[/C][C]18[/C][C]16.6947235564501[/C][C]1.30527644354988[/C][/ROW]
[ROW][C]68[/C][C]18[/C][C]13.9995985888086[/C][C]4.00040141119142[/C][/ROW]
[ROW][C]69[/C][C]12[/C][C]16.2459754199712[/C][C]-4.24597541997123[/C][/ROW]
[ROW][C]70[/C][C]16[/C][C]15.7662701530667[/C][C]0.233729846933329[/C][/ROW]
[ROW][C]71[/C][C]10[/C][C]13.3501738795228[/C][C]-3.35017387952285[/C][/ROW]
[ROW][C]72[/C][C]14[/C][C]15.0263361133968[/C][C]-1.02633611339681[/C][/ROW]
[ROW][C]73[/C][C]18[/C][C]17.0861884616184[/C][C]0.913811538381645[/C][/ROW]
[ROW][C]74[/C][C]18[/C][C]17.448465843011[/C][C]0.551534156989019[/C][/ROW]
[ROW][C]75[/C][C]16[/C][C]14.9793928516018[/C][C]1.02060714839821[/C][/ROW]
[ROW][C]76[/C][C]17[/C][C]13.5826983419465[/C][C]3.41730165805346[/C][/ROW]
[ROW][C]77[/C][C]16[/C][C]16.7130520727850[/C][C]-0.713052072784978[/C][/ROW]
[ROW][C]78[/C][C]16[/C][C]14.6121713499864[/C][C]1.38782865001357[/C][/ROW]
[ROW][C]79[/C][C]13[/C][C]14.9378975686125[/C][C]-1.93789756861248[/C][/ROW]
[ROW][C]80[/C][C]16[/C][C]15.1894004594892[/C][C]0.81059954051079[/C][/ROW]
[ROW][C]81[/C][C]16[/C][C]15.5698726090222[/C][C]0.430127390977756[/C][/ROW]
[ROW][C]82[/C][C]16[/C][C]15.7967878597629[/C][C]0.2032121402371[/C][/ROW]
[ROW][C]83[/C][C]15[/C][C]15.7571803586675[/C][C]-0.757180358667533[/C][/ROW]
[ROW][C]84[/C][C]15[/C][C]14.7942937387276[/C][C]0.205706261272445[/C][/ROW]
[ROW][C]85[/C][C]16[/C][C]13.9953347393883[/C][C]2.00466526061171[/C][/ROW]
[ROW][C]86[/C][C]14[/C][C]14.2191354148246[/C][C]-0.219135414824587[/C][/ROW]
[ROW][C]87[/C][C]16[/C][C]15.4111303493257[/C][C]0.588869650674301[/C][/ROW]
[ROW][C]88[/C][C]16[/C][C]14.9418602390830[/C][C]1.05813976091698[/C][/ROW]
[ROW][C]89[/C][C]15[/C][C]14.8194127221295[/C][C]0.180587277870518[/C][/ROW]
[ROW][C]90[/C][C]12[/C][C]13.7434079977327[/C][C]-1.7434079977327[/C][/ROW]
[ROW][C]91[/C][C]17[/C][C]17.3018052811888[/C][C]-0.301805281188814[/C][/ROW]
[ROW][C]92[/C][C]16[/C][C]16.0223577482408[/C][C]-0.0223577482408084[/C][/ROW]
[ROW][C]93[/C][C]15[/C][C]15.0027729806464[/C][C]-0.00277298064636092[/C][/ROW]
[ROW][C]94[/C][C]13[/C][C]14.8290752948441[/C][C]-1.82907529484407[/C][/ROW]
[ROW][C]95[/C][C]16[/C][C]14.8502623600682[/C][C]1.14973763993183[/C][/ROW]
[ROW][C]96[/C][C]16[/C][C]16.2178920177769[/C][C]-0.217892017776924[/C][/ROW]
[ROW][C]97[/C][C]16[/C][C]13.5120307145238[/C][C]2.48796928547625[/C][/ROW]
[ROW][C]98[/C][C]16[/C][C]15.8900478529408[/C][C]0.109952147059170[/C][/ROW]
[ROW][C]99[/C][C]14[/C][C]14.2532518794808[/C][C]-0.253251879480793[/C][/ROW]
[ROW][C]100[/C][C]16[/C][C]17.3499712334175[/C][C]-1.34997123341746[/C][/ROW]
[ROW][C]101[/C][C]16[/C][C]14.9407561175017[/C][C]1.05924388249828[/C][/ROW]
[ROW][C]102[/C][C]20[/C][C]17.8131927082477[/C][C]2.18680729175234[/C][/ROW]
[ROW][C]103[/C][C]15[/C][C]14.1195211106992[/C][C]0.880478889300815[/C][/ROW]
[ROW][C]104[/C][C]16[/C][C]15.1462586352874[/C][C]0.853741364712584[/C][/ROW]
[ROW][C]105[/C][C]13[/C][C]15.3754703393587[/C][C]-2.37547033935874[/C][/ROW]
[ROW][C]106[/C][C]17[/C][C]15.9704855455652[/C][C]1.02951445443481[/C][/ROW]
[ROW][C]107[/C][C]16[/C][C]16.2990703130805[/C][C]-0.299070313080476[/C][/ROW]
[ROW][C]108[/C][C]16[/C][C]14.7178035372316[/C][C]1.28219646276840[/C][/ROW]
[ROW][C]109[/C][C]12[/C][C]13.1398499133435[/C][C]-1.13984991334355[/C][/ROW]
[ROW][C]110[/C][C]16[/C][C]15.2775977635921[/C][C]0.722402236407907[/C][/ROW]
[ROW][C]111[/C][C]16[/C][C]16.2319259323988[/C][C]-0.231925932398788[/C][/ROW]
[ROW][C]112[/C][C]17[/C][C]15.0360909992563[/C][C]1.96390900074374[/C][/ROW]
[ROW][C]113[/C][C]12[/C][C]14.7504223882119[/C][C]-2.75042238821190[/C][/ROW]
[ROW][C]114[/C][C]18[/C][C]16.3240969833375[/C][C]1.67590301666246[/C][/ROW]
[ROW][C]115[/C][C]14[/C][C]16.3727942788320[/C][C]-2.37279427883205[/C][/ROW]
[ROW][C]116[/C][C]14[/C][C]13.3262513308471[/C][C]0.673748669152915[/C][/ROW]
[ROW][C]117[/C][C]13[/C][C]14.8442137246557[/C][C]-1.84421372465569[/C][/ROW]
[ROW][C]118[/C][C]16[/C][C]15.8739279733770[/C][C]0.126072026622972[/C][/ROW]
[ROW][C]119[/C][C]13[/C][C]14.7735309178908[/C][C]-1.77353091789077[/C][/ROW]
[ROW][C]120[/C][C]16[/C][C]15.4996870693539[/C][C]0.500312930646103[/C][/ROW]
[ROW][C]121[/C][C]13[/C][C]16.1195804118893[/C][C]-3.11958041188928[/C][/ROW]
[ROW][C]122[/C][C]16[/C][C]17.2398035973863[/C][C]-1.23980359738630[/C][/ROW]
[ROW][C]123[/C][C]15[/C][C]16.151744659798[/C][C]-1.151744659798[/C][/ROW]
[ROW][C]124[/C][C]16[/C][C]17.0081850734959[/C][C]-1.00818507349592[/C][/ROW]
[ROW][C]125[/C][C]15[/C][C]14.6706497870479[/C][C]0.32935021295215[/C][/ROW]
[ROW][C]126[/C][C]17[/C][C]16.0692365751823[/C][C]0.930763424817718[/C][/ROW]
[ROW][C]127[/C][C]15[/C][C]14.0363631139653[/C][C]0.963636886034711[/C][/ROW]
[ROW][C]128[/C][C]12[/C][C]14.9479088744955[/C][C]-2.94790887449550[/C][/ROW]
[ROW][C]129[/C][C]16[/C][C]13.9311244188147[/C][C]2.06887558118528[/C][/ROW]
[ROW][C]130[/C][C]10[/C][C]13.9121308110196[/C][C]-3.91213081101955[/C][/ROW]
[ROW][C]131[/C][C]16[/C][C]13.6535641524173[/C][C]2.34643584758268[/C][/ROW]
[ROW][C]132[/C][C]12[/C][C]14.1881934637410[/C][C]-2.18819346374104[/C][/ROW]
[ROW][C]133[/C][C]14[/C][C]15.9626676971111[/C][C]-1.9626676971111[/C][/ROW]
[ROW][C]134[/C][C]15[/C][C]15.2121154970735[/C][C]-0.212115497073478[/C][/ROW]
[ROW][C]135[/C][C]13[/C][C]12.2545379405534[/C][C]0.745462059446554[/C][/ROW]
[ROW][C]136[/C][C]15[/C][C]14.8836985539219[/C][C]0.116301446078066[/C][/ROW]
[ROW][C]137[/C][C]11[/C][C]13.7814719535173[/C][C]-2.78147195351732[/C][/ROW]
[ROW][C]138[/C][C]12[/C][C]13.1343740562465[/C][C]-1.13437405624652[/C][/ROW]
[ROW][C]139[/C][C]11[/C][C]13.3505977303017[/C][C]-2.35059773030171[/C][/ROW]
[ROW][C]140[/C][C]16[/C][C]12.9243664483591[/C][C]3.07563355164091[/C][/ROW]
[ROW][C]141[/C][C]15[/C][C]13.6228052050397[/C][C]1.37719479496035[/C][/ROW]
[ROW][C]142[/C][C]17[/C][C]17.1274425039262[/C][C]-0.127442503926215[/C][/ROW]
[ROW][C]143[/C][C]16[/C][C]14.0734563027546[/C][C]1.92654369724540[/C][/ROW]
[ROW][C]144[/C][C]10[/C][C]13.3916843418543[/C][C]-3.39168434185428[/C][/ROW]
[ROW][C]145[/C][C]18[/C][C]15.722639649624[/C][C]2.27736035037599[/C][/ROW]
[ROW][C]146[/C][C]13[/C][C]15.4739801282944[/C][C]-2.47398012829439[/C][/ROW]
[ROW][C]147[/C][C]16[/C][C]14.9884826460009[/C][C]1.01151735399908[/C][/ROW]
[ROW][C]148[/C][C]13[/C][C]13.1555303691779[/C][C]-0.155530369177903[/C][/ROW]
[ROW][C]149[/C][C]10[/C][C]13.0795099500957[/C][C]-3.07950995009566[/C][/ROW]
[ROW][C]150[/C][C]15[/C][C]16.7571646639821[/C][C]-1.75716466398207[/C][/ROW]
[ROW][C]151[/C][C]16[/C][C]13.9592078210090[/C][C]2.04079217899097[/C][/ROW]
[ROW][C]152[/C][C]16[/C][C]11.9402931568035[/C][C]4.05970684319653[/C][/ROW]
[ROW][C]153[/C][C]14[/C][C]12.8855315312110[/C][C]1.11446846878898[/C][/ROW]
[ROW][C]154[/C][C]10[/C][C]12.6722415236555[/C][C]-2.67224152365550[/C][/ROW]
[ROW][C]155[/C][C]13[/C][C]11.7704506489847[/C][C]1.22954935101527[/C][/ROW]
[ROW][C]156[/C][C]15[/C][C]14.0363631139653[/C][C]0.963636886034711[/C][/ROW]
[ROW][C]157[/C][C]16[/C][C]14.6685638221059[/C][C]1.33143617789409[/C][/ROW]
[ROW][C]158[/C][C]12[/C][C]12.9205112703755[/C][C]-0.92051127037554[/C][/ROW]
[ROW][C]159[/C][C]13[/C][C]12.3034462207792[/C][C]0.69655377922076[/C][/ROW]
[ROW][C]160[/C][C]12[/C][C]11.6427382596654[/C][C]0.357261740334557[/C][/ROW]
[ROW][C]161[/C][C]17[/C][C]16.4203079412837[/C][C]0.579692058716324[/C][/ROW]
[ROW][C]162[/C][C]15[/C][C]13.557083816766[/C][C]1.44291618323400[/C][/ROW]
[ROW][C]163[/C][C]10[/C][C]11.1488653299446[/C][C]-1.14886532994457[/C][/ROW]
[ROW][C]164[/C][C]14[/C][C]13.8374103189078[/C][C]0.162589681092228[/C][/ROW]
[ROW][C]165[/C][C]11[/C][C]13.6071371572801[/C][C]-2.60713715728013[/C][/ROW]
[ROW][C]166[/C][C]13[/C][C]14.6708345160717[/C][C]-1.67083451607167[/C][/ROW]
[ROW][C]167[/C][C]16[/C][C]14.0939065855186[/C][C]1.90609341448136[/C][/ROW]
[ROW][C]168[/C][C]12[/C][C]10.2453634792078[/C][C]1.75463652079224[/C][/ROW]
[ROW][C]169[/C][C]16[/C][C]15.2897722709539[/C][C]0.710227729046113[/C][/ROW]
[ROW][C]170[/C][C]12[/C][C]13.7145389511754[/C][C]-1.71453895117536[/C][/ROW]
[ROW][C]171[/C][C]9[/C][C]10.7770743033739[/C][C]-1.77707430337394[/C][/ROW]
[ROW][C]172[/C][C]12[/C][C]14.7822400218786[/C][C]-2.78224002187859[/C][/ROW]
[ROW][C]173[/C][C]15[/C][C]14.0137253129179[/C][C]0.986274687082144[/C][/ROW]
[ROW][C]174[/C][C]12[/C][C]12.1056433762038[/C][C]-0.105643376203762[/C][/ROW]
[ROW][C]175[/C][C]12[/C][C]12.2686646646627[/C][C]-0.268664664662725[/C][/ROW]
[ROW][C]176[/C][C]14[/C][C]13.3547865648457[/C][C]0.645213435154327[/C][/ROW]
[ROW][C]177[/C][C]12[/C][C]13.1774749417413[/C][C]-1.17747494174127[/C][/ROW]
[ROW][C]178[/C][C]16[/C][C]15.0804297545268[/C][C]0.91957024547323[/C][/ROW]
[ROW][C]179[/C][C]11[/C][C]10.8252250762605[/C][C]0.174774923739544[/C][/ROW]
[ROW][C]180[/C][C]19[/C][C]16.6463016805405[/C][C]2.35369831945955[/C][/ROW]
[ROW][C]181[/C][C]15[/C][C]14.9643472312776[/C][C]0.0356527687224169[/C][/ROW]
[ROW][C]182[/C][C]8[/C][C]13.8022045184039[/C][C]-5.80220451840394[/C][/ROW]
[ROW][C]183[/C][C]16[/C][C]14.7239445885231[/C][C]1.27605541147695[/C][/ROW]
[ROW][C]184[/C][C]17[/C][C]14.3138180068021[/C][C]2.6861819931979[/C][/ROW]
[ROW][C]185[/C][C]12[/C][C]11.9684045400232[/C][C]0.0315954599768104[/C][/ROW]
[ROW][C]186[/C][C]11[/C][C]10.8457314770737[/C][C]0.154268522926336[/C][/ROW]
[ROW][C]187[/C][C]11[/C][C]10.1773131599928[/C][C]0.822686840007234[/C][/ROW]
[ROW][C]188[/C][C]14[/C][C]14.5709945442154[/C][C]-0.57099454421541[/C][/ROW]
[ROW][C]189[/C][C]16[/C][C]15.4460047149296[/C][C]0.553995285070372[/C][/ROW]
[ROW][C]190[/C][C]12[/C][C]9.09793534536687[/C][C]2.90206465463313[/C][/ROW]
[ROW][C]191[/C][C]16[/C][C]14.2140855274328[/C][C]1.78591447256718[/C][/ROW]
[ROW][C]192[/C][C]13[/C][C]13.4047065507738[/C][C]-0.404706550773805[/C][/ROW]
[ROW][C]193[/C][C]15[/C][C]15.0797494837243[/C][C]-0.0797494837243312[/C][/ROW]
[ROW][C]194[/C][C]16[/C][C]12.7885350316360[/C][C]3.21146496836403[/C][/ROW]
[ROW][C]195[/C][C]16[/C][C]14.9268146187588[/C][C]1.07318538124118[/C][/ROW]
[ROW][C]196[/C][C]14[/C][C]12.3419496002933[/C][C]1.6580503997067[/C][/ROW]
[ROW][C]197[/C][C]16[/C][C]13.9091668885697[/C][C]2.09083311143027[/C][/ROW]
[ROW][C]198[/C][C]14[/C][C]12.7013836121388[/C][C]1.29861638786118[/C][/ROW]
[ROW][C]199[/C][C]11[/C][C]12.9874423914012[/C][C]-1.9874423914012[/C][/ROW]
[ROW][C]200[/C][C]12[/C][C]14.6078620652739[/C][C]-2.60786206527386[/C][/ROW]
[ROW][C]201[/C][C]15[/C][C]12.3408758373963[/C][C]2.65912416260374[/C][/ROW]
[ROW][C]202[/C][C]15[/C][C]14.3935906079662[/C][C]0.606409392033848[/C][/ROW]
[ROW][C]203[/C][C]16[/C][C]14.4435105938943[/C][C]1.55648940610572[/C][/ROW]
[ROW][C]204[/C][C]16[/C][C]15.1328595561757[/C][C]0.867140443824294[/C][/ROW]
[ROW][C]205[/C][C]11[/C][C]13.5576414157393[/C][C]-2.55764141573931[/C][/ROW]
[ROW][C]206[/C][C]15[/C][C]13.6470614102758[/C][C]1.35293858972418[/C][/ROW]
[ROW][C]207[/C][C]12[/C][C]14.3888721554743[/C][C]-2.38887215547429[/C][/ROW]
[ROW][C]208[/C][C]12[/C][C]16.0040145489064[/C][C]-4.00401454890637[/C][/ROW]
[ROW][C]209[/C][C]15[/C][C]14.0863451570881[/C][C]0.913654842911875[/C][/ROW]
[ROW][C]210[/C][C]15[/C][C]11.6051904678046[/C][C]3.39480953219545[/C][/ROW]
[ROW][C]211[/C][C]16[/C][C]14.7246096799834[/C][C]1.27539032001664[/C][/ROW]
[ROW][C]212[/C][C]14[/C][C]12.6994313953913[/C][C]1.30056860460866[/C][/ROW]
[ROW][C]213[/C][C]17[/C][C]14.4201456441918[/C][C]2.57985435580816[/C][/ROW]
[ROW][C]214[/C][C]14[/C][C]13.9310342245963[/C][C]0.0689657754037351[/C][/ROW]
[ROW][C]215[/C][C]13[/C][C]12.0414330556302[/C][C]0.958566944369807[/C][/ROW]
[ROW][C]216[/C][C]15[/C][C]15.3260821930390[/C][C]-0.326082193039021[/C][/ROW]
[ROW][C]217[/C][C]13[/C][C]14.5813070290482[/C][C]-1.58130702904818[/C][/ROW]
[ROW][C]218[/C][C]14[/C][C]14.0962489704842[/C][C]-0.0962489704841555[/C][/ROW]
[ROW][C]219[/C][C]15[/C][C]14.3389521695462[/C][C]0.661047830453843[/C][/ROW]
[ROW][C]220[/C][C]12[/C][C]12.6808772113256[/C][C]-0.680877211325614[/C][/ROW]
[ROW][C]221[/C][C]8[/C][C]11.2135150742476[/C][C]-3.21351507424758[/C][/ROW]
[ROW][C]222[/C][C]14[/C][C]13.6100863967304[/C][C]0.389913603269619[/C][/ROW]
[ROW][C]223[/C][C]14[/C][C]12.7042421610281[/C][C]1.29575783897194[/C][/ROW]
[ROW][C]224[/C][C]11[/C][C]12.4119521362558[/C][C]-1.41195213625578[/C][/ROW]
[ROW][C]225[/C][C]12[/C][C]12.7541621469562[/C][C]-0.75416214695619[/C][/ROW]
[ROW][C]226[/C][C]13[/C][C]10.8622152691480[/C][C]2.13778473085197[/C][/ROW]
[ROW][C]227[/C][C]10[/C][C]13.323696079834[/C][C]-3.32369607983399[/C][/ROW]
[ROW][C]228[/C][C]16[/C][C]10.9937374011586[/C][C]5.00626259884142[/C][/ROW]
[ROW][C]229[/C][C]18[/C][C]16.4314081894059[/C][C]1.56859181059413[/C][/ROW]
[ROW][C]230[/C][C]13[/C][C]13.6211866448526[/C][C]-0.621186644852575[/C][/ROW]
[ROW][C]231[/C][C]11[/C][C]13.2919064271927[/C][C]-2.29190642719272[/C][/ROW]
[ROW][C]232[/C][C]4[/C][C]10.8887551260316[/C][C]-6.88875512603159[/C][/ROW]
[ROW][C]233[/C][C]13[/C][C]14.4659047766014[/C][C]-1.46590477660143[/C][/ROW]
[ROW][C]234[/C][C]16[/C][C]14.0025495535768[/C][C]1.99745044642322[/C][/ROW]
[ROW][C]235[/C][C]10[/C][C]11.4355892006673[/C][C]-1.43558920066725[/C][/ROW]
[ROW][C]236[/C][C]12[/C][C]11.5481329042248[/C][C]0.451867095775234[/C][/ROW]
[ROW][C]237[/C][C]12[/C][C]13.8413578100362[/C][C]-1.84135781003618[/C][/ROW]
[ROW][C]238[/C][C]10[/C][C]8.2760200677619[/C][C]1.72397993223811[/C][/ROW]
[ROW][C]239[/C][C]13[/C][C]10.9179274704651[/C][C]2.08207252953493[/C][/ROW]
[ROW][C]240[/C][C]12[/C][C]11.7808403703543[/C][C]0.219159629645673[/C][/ROW]
[ROW][C]241[/C][C]14[/C][C]12.7671071193389[/C][C]1.23289288066112[/C][/ROW]
[ROW][C]242[/C][C]10[/C][C]12.9849325756804[/C][C]-2.98493257568040[/C][/ROW]
[ROW][C]243[/C][C]12[/C][C]10.2453630855993[/C][C]1.75463691440069[/C][/ROW]
[ROW][C]244[/C][C]12[/C][C]11.1052348265019[/C][C]0.894765173498093[/C][/ROW]
[ROW][C]245[/C][C]11[/C][C]11.5470439619856[/C][C]-0.547043961985592[/C][/ROW]
[ROW][C]246[/C][C]10[/C][C]11.4213140453639[/C][C]-1.42131404536395[/C][/ROW]
[ROW][C]247[/C][C]12[/C][C]11.1513152073971[/C][C]0.848684792602932[/C][/ROW]
[ROW][C]248[/C][C]16[/C][C]12.6984499456392[/C][C]3.30155005436085[/C][/ROW]
[ROW][C]249[/C][C]12[/C][C]13.5511689295480[/C][C]-1.55116892954797[/C][/ROW]
[ROW][C]250[/C][C]14[/C][C]13.9644704184500[/C][C]0.0355295815499680[/C][/ROW]
[ROW][C]251[/C][C]16[/C][C]14.6539268732184[/C][C]1.34607312678156[/C][/ROW]
[ROW][C]252[/C][C]14[/C][C]11.6292356883094[/C][C]2.37076431169057[/C][/ROW]
[ROW][C]253[/C][C]13[/C][C]14.4908132716146[/C][C]-1.49081327161462[/C][/ROW]
[ROW][C]254[/C][C]4[/C][C]8.75639042612676[/C][C]-4.75639042612676[/C][/ROW]
[ROW][C]255[/C][C]15[/C][C]13.4887430013581[/C][C]1.51125699864186[/C][/ROW]
[ROW][C]256[/C][C]11[/C][C]15.0991669422984[/C][C]-4.09916694229837[/C][/ROW]
[ROW][C]257[/C][C]11[/C][C]11.6780515526563[/C][C]-0.678051552656262[/C][/ROW]
[ROW][C]258[/C][C]14[/C][C]12.4643971172468[/C][C]1.53560288275316[/C][/ROW]
[ROW][C]259[/C][C]15[/C][C]14.6182820425936[/C][C]0.381717957406382[/C][/ROW]
[ROW][C]260[/C][C]14[/C][C]11.9721107904702[/C][C]2.02788920952984[/C][/ROW]
[ROW][C]261[/C][C]13[/C][C]12.7925576403748[/C][C]0.207442359625186[/C][/ROW]
[ROW][C]262[/C][C]11[/C][C]12.2546307500409[/C][C]-1.25463075004086[/C][/ROW]
[ROW][C]263[/C][C]15[/C][C]13.7845566664800[/C][C]1.21544333352003[/C][/ROW]
[ROW][C]264[/C][C]11[/C][C]11.2830630071385[/C][C]-0.28306300713848[/C][/ROW]
[ROW][C]265[/C][C]13[/C][C]11.6540215114935[/C][C]1.34597848850649[/C][/ROW]
[ROW][C]266[/C][C]13[/C][C]11.5831708803649[/C][C]1.41682911963515[/C][/ROW]
[ROW][C]267[/C][C]16[/C][C]13.5116841002817[/C][C]2.48831589971828[/C][/ROW]
[ROW][C]268[/C][C]13[/C][C]12.2235554443713[/C][C]0.776444555628686[/C][/ROW]
[ROW][C]269[/C][C]16[/C][C]14.9339521964105[/C][C]1.06604780358953[/C][/ROW]
[ROW][C]270[/C][C]16[/C][C]15.8343977088185[/C][C]0.165602291181504[/C][/ROW]
[ROW][C]271[/C][C]12[/C][C]11.4401587256225[/C][C]0.559841274377467[/C][/ROW]
[ROW][C]272[/C][C]7[/C][C]10.8122952832199[/C][C]-3.8122952832199[/C][/ROW]
[ROW][C]273[/C][C]16[/C][C]13.9145504325219[/C][C]2.0854495674781[/C][/ROW]
[ROW][C]274[/C][C]5[/C][C]9.20467165419334[/C][C]-4.20467165419334[/C][/ROW]
[ROW][C]275[/C][C]16[/C][C]13.1462921435847[/C][C]2.85370785641526[/C][/ROW]
[ROW][C]276[/C][C]4[/C][C]8.64172838275076[/C][C]-4.64172838275076[/C][/ROW]
[ROW][C]277[/C][C]12[/C][C]13.3400723794214[/C][C]-1.34007237942137[/C][/ROW]
[ROW][C]278[/C][C]15[/C][C]14.1310305266007[/C][C]0.86896947339933[/C][/ROW]
[ROW][C]279[/C][C]14[/C][C]14.8341122245542[/C][C]-0.83411222455421[/C][/ROW]
[ROW][C]280[/C][C]11[/C][C]13.0205622269631[/C][C]-2.02056222696309[/C][/ROW]
[ROW][C]281[/C][C]16[/C][C]14.9844297813119[/C][C]1.01557021868807[/C][/ROW]
[ROW][C]282[/C][C]15[/C][C]13.6374140169034[/C][C]1.36258598309663[/C][/ROW]
[ROW][C]283[/C][C]12[/C][C]12.0787396068096[/C][C]-0.0787396068096423[/C][/ROW]
[ROW][C]284[/C][C]6[/C][C]8.99807980056002[/C][C]-2.99807980056002[/C][/ROW]
[ROW][C]285[/C][C]16[/C][C]14.5182164030065[/C][C]1.48178359699351[/C][/ROW]
[ROW][C]286[/C][C]10[/C][C]13.3329348017697[/C][C]-3.33293480176972[/C][/ROW]
[ROW][C]287[/C][C]15[/C][C]16.0797337890389[/C][C]-1.07973378903887[/C][/ROW]
[ROW][C]288[/C][C]14[/C][C]14.4912371223935[/C][C]-0.491237122393488[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=105467&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105467&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
11316.1967205255037-3.19672052550372
21615.40095161268740.599048387312637
31916.89801743746482.10198256253522
41511.29141047354053.70858952645952
51416.4265694427437-2.42656944274373
61314.3284549556896-1.32845495568956
71915.66196814874213.33803185125788
81516.8405360231061-1.84053602310610
91415.7540054514864-1.75400545148642
101514.12325811343890.876741886561137
111614.54425477896591.45574522103410
121616.0035130679822-0.0035130679822237
131615.48111770594600.518882294053957
141615.58635640109660.413643598903391
151717.7561351446679-0.756135144667874
161515.2542176345475-0.254217634547518
171514.23121711269900.768782887301035
182016.21613798407743.78386201592256
191815.40288865009272.59711134990726
201615.38129291343190.618707086568091
211614.93680862637331.06319137362669
221614.87252279458091.12747720541914
231916.68002455036792.31997544963205
241615.19684371267590.803156287324143
251715.91726798062681.08273201937317
261716.09929967880690.900700321193066
271614.55334457336501.44665542663496
281516.8269259592631-1.82692595926311
291615.43121289936000.568787100639958
301413.91817944643200.0818205535679676
311515.2548979053500-0.254897905349957
321212.2781010733039-0.278101073303894
331414.5047699496997-0.504769949699651
341615.72678532380040.273214676199575
351415.2250452901140-1.22504529011404
361012.2906221949077-2.29062219490772
371012.6791226812836-2.67912268128358
381415.6107028005512-1.61070280055124
391613.94474966199992.05525033800015
401614.14113202670211.85886797329785
411614.37769467081531.62230532918474
421415.5776904574763-1.57769045747634
432017.6407177128792.35928228712101
441414.0646570045483-0.0646570045483274
451414.2526450249961-0.252645024996055
461115.5181078988336-4.51810789883362
471416.7428895086788-2.74288950867877
481514.86429627469000.135703725309969
491615.4528238153630.547176184636996
501415.5413653560491-1.54136535604907
511616.9662659397277-0.966265939727748
521413.83842202461010.161577975389889
531215.0247925680861-3.02479256808606
541616.1770618262479-0.177061826247930
55910.6817114405940-1.68171144059399
561412.08415340671201.91584659328803
571615.98409560940820.015904390591811
581615.20759522762960.792404772370382
591514.99714858962120.00285141037880324
601614.15156718336401.84843281663597
611211.25685458515480.743145414845177
621615.65415030028800.345849699711975
631616.5547184845252-0.554718484525167
641414.7042086527307-0.704208652730738
651615.38843049108360.611569508916438
661716.00720413908710.99279586091294
671816.69472355645011.30527644354988
681813.99959858880864.00040141119142
691216.2459754199712-4.24597541997123
701615.76627015306670.233729846933329
711013.3501738795228-3.35017387952285
721415.0263361133968-1.02633611339681
731817.08618846161840.913811538381645
741817.4484658430110.551534156989019
751614.97939285160181.02060714839821
761713.58269834194653.41730165805346
771616.7130520727850-0.713052072784978
781614.61217134998641.38782865001357
791314.9378975686125-1.93789756861248
801615.18940045948920.81059954051079
811615.56987260902220.430127390977756
821615.79678785976290.2032121402371
831515.7571803586675-0.757180358667533
841514.79429373872760.205706261272445
851613.99533473938832.00466526061171
861414.2191354148246-0.219135414824587
871615.41113034932570.588869650674301
881614.94186023908301.05813976091698
891514.81941272212950.180587277870518
901213.7434079977327-1.7434079977327
911717.3018052811888-0.301805281188814
921616.0223577482408-0.0223577482408084
931515.0027729806464-0.00277298064636092
941314.8290752948441-1.82907529484407
951614.85026236006821.14973763993183
961616.2178920177769-0.217892017776924
971613.51203071452382.48796928547625
981615.89004785294080.109952147059170
991414.2532518794808-0.253251879480793
1001617.3499712334175-1.34997123341746
1011614.94075611750171.05924388249828
1022017.81319270824772.18680729175234
1031514.11952111069920.880478889300815
1041615.14625863528740.853741364712584
1051315.3754703393587-2.37547033935874
1061715.97048554556521.02951445443481
1071616.2990703130805-0.299070313080476
1081614.71780353723161.28219646276840
1091213.1398499133435-1.13984991334355
1101615.27759776359210.722402236407907
1111616.2319259323988-0.231925932398788
1121715.03609099925631.96390900074374
1131214.7504223882119-2.75042238821190
1141816.32409698333751.67590301666246
1151416.3727942788320-2.37279427883205
1161413.32625133084710.673748669152915
1171314.8442137246557-1.84421372465569
1181615.87392797337700.126072026622972
1191314.7735309178908-1.77353091789077
1201615.49968706935390.500312930646103
1211316.1195804118893-3.11958041188928
1221617.2398035973863-1.23980359738630
1231516.151744659798-1.151744659798
1241617.0081850734959-1.00818507349592
1251514.67064978704790.32935021295215
1261716.06923657518230.930763424817718
1271514.03636311396530.963636886034711
1281214.9479088744955-2.94790887449550
1291613.93112441881472.06887558118528
1301013.9121308110196-3.91213081101955
1311613.65356415241732.34643584758268
1321214.1881934637410-2.18819346374104
1331415.9626676971111-1.9626676971111
1341515.2121154970735-0.212115497073478
1351312.25453794055340.745462059446554
1361514.88369855392190.116301446078066
1371113.7814719535173-2.78147195351732
1381213.1343740562465-1.13437405624652
1391113.3505977303017-2.35059773030171
1401612.92436644835913.07563355164091
1411513.62280520503971.37719479496035
1421717.1274425039262-0.127442503926215
1431614.07345630275461.92654369724540
1441013.3916843418543-3.39168434185428
1451815.7226396496242.27736035037599
1461315.4739801282944-2.47398012829439
1471614.98848264600091.01151735399908
1481313.1555303691779-0.155530369177903
1491013.0795099500957-3.07950995009566
1501516.7571646639821-1.75716466398207
1511613.95920782100902.04079217899097
1521611.94029315680354.05970684319653
1531412.88553153121101.11446846878898
1541012.6722415236555-2.67224152365550
1551311.77045064898471.22954935101527
1561514.03636311396530.963636886034711
1571614.66856382210591.33143617789409
1581212.9205112703755-0.92051127037554
1591312.30344622077920.69655377922076
1601211.64273825966540.357261740334557
1611716.42030794128370.579692058716324
1621513.5570838167661.44291618323400
1631011.1488653299446-1.14886532994457
1641413.83741031890780.162589681092228
1651113.6071371572801-2.60713715728013
1661314.6708345160717-1.67083451607167
1671614.09390658551861.90609341448136
1681210.24536347920781.75463652079224
1691615.28977227095390.710227729046113
1701213.7145389511754-1.71453895117536
171910.7770743033739-1.77707430337394
1721214.7822400218786-2.78224002187859
1731514.01372531291790.986274687082144
1741212.1056433762038-0.105643376203762
1751212.2686646646627-0.268664664662725
1761413.35478656484570.645213435154327
1771213.1774749417413-1.17747494174127
1781615.08042975452680.91957024547323
1791110.82522507626050.174774923739544
1801916.64630168054052.35369831945955
1811514.96434723127760.0356527687224169
182813.8022045184039-5.80220451840394
1831614.72394458852311.27605541147695
1841714.31381800680212.6861819931979
1851211.96840454002320.0315954599768104
1861110.84573147707370.154268522926336
1871110.17731315999280.822686840007234
1881414.5709945442154-0.57099454421541
1891615.44600471492960.553995285070372
190129.097935345366872.90206465463313
1911614.21408552743281.78591447256718
1921313.4047065507738-0.404706550773805
1931515.0797494837243-0.0797494837243312
1941612.78853503163603.21146496836403
1951614.92681461875881.07318538124118
1961412.34194960029331.6580503997067
1971613.90916688856972.09083311143027
1981412.70138361213881.29861638786118
1991112.9874423914012-1.9874423914012
2001214.6078620652739-2.60786206527386
2011512.34087583739632.65912416260374
2021514.39359060796620.606409392033848
2031614.44351059389431.55648940610572
2041615.13285955617570.867140443824294
2051113.5576414157393-2.55764141573931
2061513.64706141027581.35293858972418
2071214.3888721554743-2.38887215547429
2081216.0040145489064-4.00401454890637
2091514.08634515708810.913654842911875
2101511.60519046780463.39480953219545
2111614.72460967998341.27539032001664
2121412.69943139539131.30056860460866
2131714.42014564419182.57985435580816
2141413.93103422459630.0689657754037351
2151312.04143305563020.958566944369807
2161515.3260821930390-0.326082193039021
2171314.5813070290482-1.58130702904818
2181414.0962489704842-0.0962489704841555
2191514.33895216954620.661047830453843
2201212.6808772113256-0.680877211325614
221811.2135150742476-3.21351507424758
2221413.61008639673040.389913603269619
2231412.70424216102811.29575783897194
2241112.4119521362558-1.41195213625578
2251212.7541621469562-0.75416214695619
2261310.86221526914802.13778473085197
2271013.323696079834-3.32369607983399
2281610.99373740115865.00626259884142
2291816.43140818940591.56859181059413
2301313.6211866448526-0.621186644852575
2311113.2919064271927-2.29190642719272
232410.8887551260316-6.88875512603159
2331314.4659047766014-1.46590477660143
2341614.00254955357681.99745044642322
2351011.4355892006673-1.43558920066725
2361211.54813290422480.451867095775234
2371213.8413578100362-1.84135781003618
238108.27602006776191.72397993223811
2391310.91792747046512.08207252953493
2401211.78084037035430.219159629645673
2411412.76710711933891.23289288066112
2421012.9849325756804-2.98493257568040
2431210.24536308559931.75463691440069
2441211.10523482650190.894765173498093
2451111.5470439619856-0.547043961985592
2461011.4213140453639-1.42131404536395
2471211.15131520739710.848684792602932
2481612.69844994563923.30155005436085
2491213.5511689295480-1.55116892954797
2501413.96447041845000.0355295815499680
2511614.65392687321841.34607312678156
2521411.62923568830942.37076431169057
2531314.4908132716146-1.49081327161462
25448.75639042612676-4.75639042612676
2551513.48874300135811.51125699864186
2561115.0991669422984-4.09916694229837
2571111.6780515526563-0.678051552656262
2581412.46439711724681.53560288275316
2591514.61828204259360.381717957406382
2601411.97211079047022.02788920952984
2611312.79255764037480.207442359625186
2621112.2546307500409-1.25463075004086
2631513.78455666648001.21544333352003
2641111.2830630071385-0.28306300713848
2651311.65402151149351.34597848850649
2661311.58317088036491.41682911963515
2671613.51168410028172.48831589971828
2681312.22355544437130.776444555628686
2691614.93395219641051.06604780358953
2701615.83439770881850.165602291181504
2711211.44015872562250.559841274377467
272710.8122952832199-3.8122952832199
2731613.91455043252192.0854495674781
27459.20467165419334-4.20467165419334
2751613.14629214358472.85370785641526
27648.64172838275076-4.64172838275076
2771213.3400723794214-1.34007237942137
2781514.13103052660070.86896947339933
2791414.8341122245542-0.83411222455421
2801113.0205622269631-2.02056222696309
2811614.98442978131191.01557021868807
2821513.63741401690341.36258598309663
2831212.0787396068096-0.0787396068096423
28468.99807980056002-2.99807980056002
2851614.51821640300651.48178359699351
2861013.3329348017697-3.33293480176972
2871516.0797337890389-1.07973378903887
2881414.4912371223935-0.491237122393488






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.814086261347690.3718274773046180.185913738652309
110.7612293255232230.4775413489535550.238770674476777
120.7841446657999920.4317106684000160.215855334200008
130.7191614508461340.5616770983077320.280838549153866
140.7124118792216670.5751762415566660.287588120778333
150.6690445118395940.6619109763208110.330955488160405
160.6126003870800640.7747992258398730.387399612919936
170.5248228024046380.9503543951907250.475177197595362
180.8557411548144980.2885176903710050.144258845185502
190.8499988195131080.3000023609737830.150001180486892
200.802002810476470.3959943790470610.197997189523530
210.7458978699309540.5082042601380920.254102130069046
220.6840991192378350.631801761524330.315900880762165
230.7037922041831710.5924155916336570.296207795816829
240.6406156376062690.7187687247874620.359384362393731
250.5774827891777590.8450344216444830.422517210822241
260.5108401999270440.9783196001459110.489159800072956
270.4471861019728070.8943722039456140.552813898027193
280.43040265603730.86080531207460.5695973439627
290.3698740709034030.7397481418068050.630125929096597
300.3562798871512160.7125597743024320.643720112848784
310.3008568742063130.6017137484126260.699143125793687
320.2852031921920670.5704063843841340.714796807807933
330.2518397659076080.5036795318152150.748160234092392
340.2070497439005990.4140994878011980.792950256099401
350.2059318389328820.4118636778657650.794068161067118
360.2941915899265710.5883831798531410.705808410073429
370.3817228398264870.7634456796529750.618277160173513
380.3839898087595710.7679796175191430.616010191240429
390.4124447145954120.8248894291908230.587555285404588
400.3916937442342720.7833874884685450.608306255765728
410.3579916186913340.7159832373826680.642008381308666
420.3449277142197630.6898554284395260.655072285780237
430.3579077685250710.7158155370501420.642092231474929
440.3171954455688000.6343908911375990.6828045544312
450.2811120651802690.5622241303605380.718887934819731
460.5164212282543080.9671575434913840.483578771745692
470.5678737517681470.8642524964637070.432126248231853
480.5214013938018480.9571972123963040.478598606198152
490.4771553371604990.9543106743209980.522844662839501
500.4806792223422810.9613584446845630.519320777657719
510.4385739707537010.8771479415074010.561426029246299
520.3933249243458190.7866498486916370.606675075654181
530.4469614550474530.8939229100949060.553038544952547
540.4044714514543850.808942902908770.595528548545615
550.4064749814498830.8129499628997660.593525018550117
560.3908125607846780.7816251215693570.609187439215322
570.3495166676359360.6990333352718730.650483332364064
580.3267119493300640.6534238986601290.673288050669936
590.2876534718023150.575306943604630.712346528197685
600.2897043244539970.5794086489079940.710295675546003
610.2602931663714970.5205863327429940.739706833628503
620.2266807532660220.4533615065320450.773319246733978
630.1959689301742280.3919378603484550.804031069825772
640.1694479268146370.3388958536292740.830552073185363
650.1463508108037350.292701621607470.853649189196265
660.1341386618317290.2682773236634590.86586133816827
670.1275037929362730.2550075858725450.872496207063727
680.2180354331711640.4360708663423270.781964566828837
690.3421885345065320.6843770690130650.657811465493467
700.3062359274636720.6124718549273450.693764072536328
710.3901941962943080.7803883925886160.609805803705692
720.3563342382306570.7126684764613130.643665761769343
730.3388847802933730.6777695605867460.661115219706627
740.3113932376317010.6227864752634020.688606762368299
750.2807091037819770.5614182075639530.719290896218023
760.3356875115392260.6713750230784520.664312488460774
770.3035697589250770.6071395178501550.696430241074923
780.2815181555452720.5630363110905440.718481844454728
790.2851268266922550.570253653384510.714873173307745
800.2575864015428570.5151728030857130.742413598457143
810.2311650440810920.4623300881621850.768834955918908
820.2038981452279650.407796290455930.796101854772035
830.1840796810841580.3681593621683150.815920318915842
840.1598012191588850.319602438317770.840198780841115
850.1567521448925150.3135042897850310.843247855107485
860.1348756955921820.2697513911843650.865124304407818
870.1169085959141220.2338171918282430.883091404085878
880.1039357236142440.2078714472284880.896064276385756
890.08798257931842720.1759651586368540.912017420681573
900.08352602653409670.1670520530681930.916473973465903
910.07159428467458970.1431885693491790.92840571532541
920.06096379234753630.1219275846950730.939036207652464
930.05170201875077050.1034040375015410.94829798124923
940.05324089096623840.1064817819324770.946759109033762
950.04673475302424990.09346950604849980.95326524697575
960.03851270702205550.0770254140441110.961487292977945
970.04173626823298130.08347253646596250.958263731767019
980.03417195519858990.06834391039717980.96582804480141
990.02775027892762850.05550055785525690.972249721072372
1000.02487829510464510.04975659020929020.975121704895355
1010.02149313980458050.0429862796091610.97850686019542
1020.02541587268610890.05083174537221770.97458412731389
1030.02132314756017160.04264629512034310.978676852439828
1040.01884408542354110.03768817084708220.981155914576459
1050.02390946662175480.04781893324350960.976090533378245
1060.02047789422200010.04095578844400020.979522105778
1070.01639389221686640.03278778443373280.983606107783134
1080.01492521248356920.02985042496713850.98507478751643
1090.01273970087880110.02547940175760230.987260299121199
1100.01050517190899150.02101034381798310.989494828091009
1110.008264613650697410.01652922730139480.991735386349303
1120.009715275811988130.01943055162397630.990284724188012
1130.01363487668293650.02726975336587290.986365123317064
1140.01317657175091750.02635314350183510.986823428249082
1150.01399432638675650.02798865277351290.986005673613244
1160.01173484127448190.02346968254896380.988265158725518
1170.01162594874193650.02325189748387310.988374051258063
1180.009221128411251260.01844225682250250.990778871588749
1190.008611333599435310.01722266719887060.991388666400565
1200.006928218441910240.01385643688382050.99307178155809
1210.009996397300205080.01999279460041020.990003602699795
1220.008508087144944590.01701617428988920.991491912855055
1230.007583086132328520.01516617226465700.992416913867672
1240.006323852762018760.01264770552403750.99367614723798
1250.005013055485901470.01002611097180290.994986944514099
1260.004200402659142170.008400805318284340.995799597340858
1270.003470472969516460.006940945939032930.996529527030483
1280.005358242649315840.01071648529863170.994641757350684
1290.005686989990036770.01137397998007350.994313010009963
1300.01242702636511870.02485405273023730.987572973634881
1310.01378151505749930.02756303011499850.9862184849425
1320.01481808699730870.02963617399461730.98518191300269
1330.01464176515981820.02928353031963650.985358234840182
1340.01187164020185480.02374328040370960.988128359798145
1350.009855847538316060.01971169507663210.990144152461684
1360.007829474633713030.01565894926742610.992170525366287
1370.01043672218303460.02087344436606920.989563277816965
1380.00933575545967560.01867151091935120.990664244540324
1390.01073087542126430.02146175084252870.989269124578736
1400.01479957758111780.02959915516223550.985200422418882
1410.01373722145651080.02747444291302150.98626277854349
1420.01136873195900700.02273746391801410.988631268040993
1430.01139006616548820.02278013233097640.988609933834512
1440.02143703321449180.04287406642898370.978562966785508
1450.02303778816797050.04607557633594110.97696221183203
1460.02610276356587030.05220552713174070.97389723643413
1470.02257786365748950.04515572731497890.97742213634251
1480.01837780091774020.03675560183548040.98162219908226
1490.02709098540291180.05418197080582360.972909014597088
1500.02738604207768060.05477208415536110.97261395792232
1510.02749566038506880.05499132077013760.972504339614931
1520.05087320033129830.1017464006625970.949126799668702
1530.04523353040822930.09046706081645870.95476646959177
1540.05664353360257620.1132870672051520.943356466397424
1550.04976128128593650.0995225625718730.950238718714064
1560.04276904270759120.08553808541518240.957230957292409
1570.04065705042095770.08131410084191550.959342949579042
1580.03418247708361620.06836495416723240.965817522916384
1590.02887217028877580.05774434057755160.971127829711224
1600.02461363524858750.04922727049717510.975386364751412
1610.02064100074012420.04128200148024830.979358999259876
1620.01812052324281780.03624104648563570.981879476757182
1630.01673820747661920.03347641495323840.98326179252338
1640.01347007455917860.02694014911835720.986529925440821
1650.01678351478001240.03356702956002490.983216485219988
1660.01663275318425050.03326550636850110.98336724681575
1670.01705087258657110.03410174517314220.98294912741343
1680.01712043348233330.03424086696466660.982879566517667
1690.01402725267470860.02805450534941730.985972747325291
1700.01332668041772800.02665336083545600.986673319582272
1710.01315856787937430.02631713575874850.986841432120626
1720.01581471300029570.03162942600059140.984185286999704
1730.01362034075457080.02724068150914170.98637965924543
1740.01088081640971140.02176163281942270.989119183590289
1750.008641516464229630.01728303292845930.99135848353577
1760.007006756854311880.01401351370862380.992993243145688
1770.00604718947833430.01209437895666860.993952810521666
1780.005039130401716710.01007826080343340.994960869598283
1790.004017473887700520.008034947775401040.9959825261123
1800.004510273025549780.009020546051099560.99548972697445
1810.003508499530577860.007016999061155720.996491500469422
1820.02756007798642240.05512015597284480.972439922013578
1830.02449280291011940.04898560582023870.97550719708988
1840.03084061564265090.06168123128530180.96915938435735
1850.02566009529886520.05132019059773040.974339904701135
1860.02098504312937220.04197008625874450.979014956870628
1870.01770048276240570.03540096552481140.982299517237594
1880.01554643384075180.03109286768150350.984453566159248
1890.01260412689452710.02520825378905420.987395873105473
1900.01784867667659440.03569735335318880.982151323323406
1910.01636104626076190.03272209252152380.983638953739238
1920.01332258138988150.02664516277976310.986677418610118
1930.01058179421409770.02116358842819530.989418205785902
1940.01601914381091510.03203828762183020.983980856189085
1950.01320841386013390.02641682772026780.986791586139866
1960.01225954580846610.02451909161693230.987740454191534
1970.01201943868268600.02403887736537190.987980561317314
1980.01004513669702250.02009027339404510.989954863302977
1990.009926721825565770.01985344365113150.990073278174434
2000.01226261352992980.02452522705985950.98773738647007
2010.01470893447035910.02941786894071820.98529106552964
2020.01169188168058330.02338376336116670.988308118319417
2030.01015825543040470.02031651086080940.989841744569595
2040.008182880878085720.01636576175617140.991817119121914
2050.009555559632548570.01911111926509710.990444440367451
2060.00855842005821210.01711684011642420.991441579941788
2070.01122619008189450.0224523801637890.988773809918105
2080.02552479683615410.05104959367230810.974475203163846
2090.02084213620861420.04168427241722850.979157863791386
2100.03261697244305060.06523394488610110.96738302755695
2110.02745096233805940.05490192467611880.97254903766194
2120.02525404978544460.05050809957088930.974745950214555
2130.02708965548692520.05417931097385040.972910344513075
2140.02171575303529810.04343150607059630.978284246964702
2150.01858013983210220.03716027966420450.981419860167898
2160.01544263949156340.03088527898312690.984557360508437
2170.01454197982285490.02908395964570980.985458020177145
2180.01138227197938740.02276454395877480.988617728020613
2190.008832454616522020.01766490923304400.991167545383478
2200.006945924605109110.01389184921021820.99305407539489
2210.01107960427136990.02215920854273990.98892039572863
2220.008605177078161390.01721035415632280.991394822921839
2230.007446686336571660.01489337267314330.992553313663428
2240.006339804859731680.01267960971946340.993660195140268
2250.004940182187088150.00988036437417630.995059817812912
2260.006294580317984450.01258916063596890.993705419682016
2270.01425488199220520.02850976398441040.985745118007795
2280.0786457404813490.1572914809626980.921354259518651
2290.07104672914948720.1420934582989740.928953270850513
2300.05842344279041990.1168468855808400.94157655720958
2310.05909084471262020.1181816894252400.94090915528738
2320.2424185272717460.4848370545434920.757581472728254
2330.2231501293507660.4463002587015320.776849870649234
2340.2030243302324940.4060486604649870.796975669767506
2350.1801257682150030.3602515364300060.819874231784997
2360.1536502751201090.3073005502402190.84634972487989
2370.1842165213620570.3684330427241150.815783478637943
2380.236459001939110.472918003878220.76354099806089
2390.2981290554912880.5962581109825750.701870944508712
2400.2589403529625250.5178807059250510.741059647037475
2410.2437323627548450.487464725509690.756267637245155
2420.2789335140642460.5578670281284930.721066485935754
2430.2672745110244020.5345490220488040.732725488975598
2440.2429772965926520.4859545931853050.757022703407348
2450.2140900768047560.4281801536095120.785909923195244
2460.1834888320704770.3669776641409540.816511167929523
2470.1821597549205120.3643195098410250.817840245079487
2480.2786693686087020.5573387372174040.721330631391298
2490.2622324218221390.5244648436442780.737767578177861
2500.2226566328175210.4453132656350420.777343367182479
2510.1892864918028710.3785729836057430.810713508197129
2520.2123375524413420.4246751048826830.787662447558658
2530.1940958478452080.3881916956904170.805904152154792
2540.2589856068697430.5179712137394860.741014393130257
2550.248278849996830.496557699993660.75172115000317
2560.500867584647250.99826483070550.49913241535275
2570.4531964180963790.9063928361927580.546803581903621
2580.4617611743972550.923522348794510.538238825602745
2590.440693714007840.881387428015680.55930628599216
2600.4630870717864980.9261741435729960.536912928213502
2610.4035094630596170.8070189261192350.596490536940383
2620.3541890244965660.7083780489931330.645810975503434
2630.316609907144880.633219814289760.68339009285512
2640.2595669442197480.5191338884394950.740433055780252
2650.2570806740001040.5141613480002090.742919325999896
2660.3685860648588540.7371721297177070.631413935141146
2670.6137508847718510.7724982304562980.386249115228149
2680.5520437504712960.8959124990574080.447956249528704
2690.5030510903809860.9938978192380270.496948909619014
2700.513661354451780.972677291096440.48633864554822
2710.4419418194148270.8838836388296550.558058180585173
2720.4186395152439330.8372790304878650.581360484756067
2730.3648645309291520.7297290618583040.635135469070848
2740.2889469151035010.5778938302070010.711053084896499
2750.4255951014211280.8511902028422560.574404898578872
2760.3767772755928810.7535545511857630.623222724407119
2770.2666056130175090.5332112260350170.733394386982491
2780.1710923060734700.3421846121469410.82890769392653

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
10 & 0.81408626134769 & 0.371827477304618 & 0.185913738652309 \tabularnewline
11 & 0.761229325523223 & 0.477541348953555 & 0.238770674476777 \tabularnewline
12 & 0.784144665799992 & 0.431710668400016 & 0.215855334200008 \tabularnewline
13 & 0.719161450846134 & 0.561677098307732 & 0.280838549153866 \tabularnewline
14 & 0.712411879221667 & 0.575176241556666 & 0.287588120778333 \tabularnewline
15 & 0.669044511839594 & 0.661910976320811 & 0.330955488160405 \tabularnewline
16 & 0.612600387080064 & 0.774799225839873 & 0.387399612919936 \tabularnewline
17 & 0.524822802404638 & 0.950354395190725 & 0.475177197595362 \tabularnewline
18 & 0.855741154814498 & 0.288517690371005 & 0.144258845185502 \tabularnewline
19 & 0.849998819513108 & 0.300002360973783 & 0.150001180486892 \tabularnewline
20 & 0.80200281047647 & 0.395994379047061 & 0.197997189523530 \tabularnewline
21 & 0.745897869930954 & 0.508204260138092 & 0.254102130069046 \tabularnewline
22 & 0.684099119237835 & 0.63180176152433 & 0.315900880762165 \tabularnewline
23 & 0.703792204183171 & 0.592415591633657 & 0.296207795816829 \tabularnewline
24 & 0.640615637606269 & 0.718768724787462 & 0.359384362393731 \tabularnewline
25 & 0.577482789177759 & 0.845034421644483 & 0.422517210822241 \tabularnewline
26 & 0.510840199927044 & 0.978319600145911 & 0.489159800072956 \tabularnewline
27 & 0.447186101972807 & 0.894372203945614 & 0.552813898027193 \tabularnewline
28 & 0.4304026560373 & 0.8608053120746 & 0.5695973439627 \tabularnewline
29 & 0.369874070903403 & 0.739748141806805 & 0.630125929096597 \tabularnewline
30 & 0.356279887151216 & 0.712559774302432 & 0.643720112848784 \tabularnewline
31 & 0.300856874206313 & 0.601713748412626 & 0.699143125793687 \tabularnewline
32 & 0.285203192192067 & 0.570406384384134 & 0.714796807807933 \tabularnewline
33 & 0.251839765907608 & 0.503679531815215 & 0.748160234092392 \tabularnewline
34 & 0.207049743900599 & 0.414099487801198 & 0.792950256099401 \tabularnewline
35 & 0.205931838932882 & 0.411863677865765 & 0.794068161067118 \tabularnewline
36 & 0.294191589926571 & 0.588383179853141 & 0.705808410073429 \tabularnewline
37 & 0.381722839826487 & 0.763445679652975 & 0.618277160173513 \tabularnewline
38 & 0.383989808759571 & 0.767979617519143 & 0.616010191240429 \tabularnewline
39 & 0.412444714595412 & 0.824889429190823 & 0.587555285404588 \tabularnewline
40 & 0.391693744234272 & 0.783387488468545 & 0.608306255765728 \tabularnewline
41 & 0.357991618691334 & 0.715983237382668 & 0.642008381308666 \tabularnewline
42 & 0.344927714219763 & 0.689855428439526 & 0.655072285780237 \tabularnewline
43 & 0.357907768525071 & 0.715815537050142 & 0.642092231474929 \tabularnewline
44 & 0.317195445568800 & 0.634390891137599 & 0.6828045544312 \tabularnewline
45 & 0.281112065180269 & 0.562224130360538 & 0.718887934819731 \tabularnewline
46 & 0.516421228254308 & 0.967157543491384 & 0.483578771745692 \tabularnewline
47 & 0.567873751768147 & 0.864252496463707 & 0.432126248231853 \tabularnewline
48 & 0.521401393801848 & 0.957197212396304 & 0.478598606198152 \tabularnewline
49 & 0.477155337160499 & 0.954310674320998 & 0.522844662839501 \tabularnewline
50 & 0.480679222342281 & 0.961358444684563 & 0.519320777657719 \tabularnewline
51 & 0.438573970753701 & 0.877147941507401 & 0.561426029246299 \tabularnewline
52 & 0.393324924345819 & 0.786649848691637 & 0.606675075654181 \tabularnewline
53 & 0.446961455047453 & 0.893922910094906 & 0.553038544952547 \tabularnewline
54 & 0.404471451454385 & 0.80894290290877 & 0.595528548545615 \tabularnewline
55 & 0.406474981449883 & 0.812949962899766 & 0.593525018550117 \tabularnewline
56 & 0.390812560784678 & 0.781625121569357 & 0.609187439215322 \tabularnewline
57 & 0.349516667635936 & 0.699033335271873 & 0.650483332364064 \tabularnewline
58 & 0.326711949330064 & 0.653423898660129 & 0.673288050669936 \tabularnewline
59 & 0.287653471802315 & 0.57530694360463 & 0.712346528197685 \tabularnewline
60 & 0.289704324453997 & 0.579408648907994 & 0.710295675546003 \tabularnewline
61 & 0.260293166371497 & 0.520586332742994 & 0.739706833628503 \tabularnewline
62 & 0.226680753266022 & 0.453361506532045 & 0.773319246733978 \tabularnewline
63 & 0.195968930174228 & 0.391937860348455 & 0.804031069825772 \tabularnewline
64 & 0.169447926814637 & 0.338895853629274 & 0.830552073185363 \tabularnewline
65 & 0.146350810803735 & 0.29270162160747 & 0.853649189196265 \tabularnewline
66 & 0.134138661831729 & 0.268277323663459 & 0.86586133816827 \tabularnewline
67 & 0.127503792936273 & 0.255007585872545 & 0.872496207063727 \tabularnewline
68 & 0.218035433171164 & 0.436070866342327 & 0.781964566828837 \tabularnewline
69 & 0.342188534506532 & 0.684377069013065 & 0.657811465493467 \tabularnewline
70 & 0.306235927463672 & 0.612471854927345 & 0.693764072536328 \tabularnewline
71 & 0.390194196294308 & 0.780388392588616 & 0.609805803705692 \tabularnewline
72 & 0.356334238230657 & 0.712668476461313 & 0.643665761769343 \tabularnewline
73 & 0.338884780293373 & 0.677769560586746 & 0.661115219706627 \tabularnewline
74 & 0.311393237631701 & 0.622786475263402 & 0.688606762368299 \tabularnewline
75 & 0.280709103781977 & 0.561418207563953 & 0.719290896218023 \tabularnewline
76 & 0.335687511539226 & 0.671375023078452 & 0.664312488460774 \tabularnewline
77 & 0.303569758925077 & 0.607139517850155 & 0.696430241074923 \tabularnewline
78 & 0.281518155545272 & 0.563036311090544 & 0.718481844454728 \tabularnewline
79 & 0.285126826692255 & 0.57025365338451 & 0.714873173307745 \tabularnewline
80 & 0.257586401542857 & 0.515172803085713 & 0.742413598457143 \tabularnewline
81 & 0.231165044081092 & 0.462330088162185 & 0.768834955918908 \tabularnewline
82 & 0.203898145227965 & 0.40779629045593 & 0.796101854772035 \tabularnewline
83 & 0.184079681084158 & 0.368159362168315 & 0.815920318915842 \tabularnewline
84 & 0.159801219158885 & 0.31960243831777 & 0.840198780841115 \tabularnewline
85 & 0.156752144892515 & 0.313504289785031 & 0.843247855107485 \tabularnewline
86 & 0.134875695592182 & 0.269751391184365 & 0.865124304407818 \tabularnewline
87 & 0.116908595914122 & 0.233817191828243 & 0.883091404085878 \tabularnewline
88 & 0.103935723614244 & 0.207871447228488 & 0.896064276385756 \tabularnewline
89 & 0.0879825793184272 & 0.175965158636854 & 0.912017420681573 \tabularnewline
90 & 0.0835260265340967 & 0.167052053068193 & 0.916473973465903 \tabularnewline
91 & 0.0715942846745897 & 0.143188569349179 & 0.92840571532541 \tabularnewline
92 & 0.0609637923475363 & 0.121927584695073 & 0.939036207652464 \tabularnewline
93 & 0.0517020187507705 & 0.103404037501541 & 0.94829798124923 \tabularnewline
94 & 0.0532408909662384 & 0.106481781932477 & 0.946759109033762 \tabularnewline
95 & 0.0467347530242499 & 0.0934695060484998 & 0.95326524697575 \tabularnewline
96 & 0.0385127070220555 & 0.077025414044111 & 0.961487292977945 \tabularnewline
97 & 0.0417362682329813 & 0.0834725364659625 & 0.958263731767019 \tabularnewline
98 & 0.0341719551985899 & 0.0683439103971798 & 0.96582804480141 \tabularnewline
99 & 0.0277502789276285 & 0.0555005578552569 & 0.972249721072372 \tabularnewline
100 & 0.0248782951046451 & 0.0497565902092902 & 0.975121704895355 \tabularnewline
101 & 0.0214931398045805 & 0.042986279609161 & 0.97850686019542 \tabularnewline
102 & 0.0254158726861089 & 0.0508317453722177 & 0.97458412731389 \tabularnewline
103 & 0.0213231475601716 & 0.0426462951203431 & 0.978676852439828 \tabularnewline
104 & 0.0188440854235411 & 0.0376881708470822 & 0.981155914576459 \tabularnewline
105 & 0.0239094666217548 & 0.0478189332435096 & 0.976090533378245 \tabularnewline
106 & 0.0204778942220001 & 0.0409557884440002 & 0.979522105778 \tabularnewline
107 & 0.0163938922168664 & 0.0327877844337328 & 0.983606107783134 \tabularnewline
108 & 0.0149252124835692 & 0.0298504249671385 & 0.98507478751643 \tabularnewline
109 & 0.0127397008788011 & 0.0254794017576023 & 0.987260299121199 \tabularnewline
110 & 0.0105051719089915 & 0.0210103438179831 & 0.989494828091009 \tabularnewline
111 & 0.00826461365069741 & 0.0165292273013948 & 0.991735386349303 \tabularnewline
112 & 0.00971527581198813 & 0.0194305516239763 & 0.990284724188012 \tabularnewline
113 & 0.0136348766829365 & 0.0272697533658729 & 0.986365123317064 \tabularnewline
114 & 0.0131765717509175 & 0.0263531435018351 & 0.986823428249082 \tabularnewline
115 & 0.0139943263867565 & 0.0279886527735129 & 0.986005673613244 \tabularnewline
116 & 0.0117348412744819 & 0.0234696825489638 & 0.988265158725518 \tabularnewline
117 & 0.0116259487419365 & 0.0232518974838731 & 0.988374051258063 \tabularnewline
118 & 0.00922112841125126 & 0.0184422568225025 & 0.990778871588749 \tabularnewline
119 & 0.00861133359943531 & 0.0172226671988706 & 0.991388666400565 \tabularnewline
120 & 0.00692821844191024 & 0.0138564368838205 & 0.99307178155809 \tabularnewline
121 & 0.00999639730020508 & 0.0199927946004102 & 0.990003602699795 \tabularnewline
122 & 0.00850808714494459 & 0.0170161742898892 & 0.991491912855055 \tabularnewline
123 & 0.00758308613232852 & 0.0151661722646570 & 0.992416913867672 \tabularnewline
124 & 0.00632385276201876 & 0.0126477055240375 & 0.99367614723798 \tabularnewline
125 & 0.00501305548590147 & 0.0100261109718029 & 0.994986944514099 \tabularnewline
126 & 0.00420040265914217 & 0.00840080531828434 & 0.995799597340858 \tabularnewline
127 & 0.00347047296951646 & 0.00694094593903293 & 0.996529527030483 \tabularnewline
128 & 0.00535824264931584 & 0.0107164852986317 & 0.994641757350684 \tabularnewline
129 & 0.00568698999003677 & 0.0113739799800735 & 0.994313010009963 \tabularnewline
130 & 0.0124270263651187 & 0.0248540527302373 & 0.987572973634881 \tabularnewline
131 & 0.0137815150574993 & 0.0275630301149985 & 0.9862184849425 \tabularnewline
132 & 0.0148180869973087 & 0.0296361739946173 & 0.98518191300269 \tabularnewline
133 & 0.0146417651598182 & 0.0292835303196365 & 0.985358234840182 \tabularnewline
134 & 0.0118716402018548 & 0.0237432804037096 & 0.988128359798145 \tabularnewline
135 & 0.00985584753831606 & 0.0197116950766321 & 0.990144152461684 \tabularnewline
136 & 0.00782947463371303 & 0.0156589492674261 & 0.992170525366287 \tabularnewline
137 & 0.0104367221830346 & 0.0208734443660692 & 0.989563277816965 \tabularnewline
138 & 0.0093357554596756 & 0.0186715109193512 & 0.990664244540324 \tabularnewline
139 & 0.0107308754212643 & 0.0214617508425287 & 0.989269124578736 \tabularnewline
140 & 0.0147995775811178 & 0.0295991551622355 & 0.985200422418882 \tabularnewline
141 & 0.0137372214565108 & 0.0274744429130215 & 0.98626277854349 \tabularnewline
142 & 0.0113687319590070 & 0.0227374639180141 & 0.988631268040993 \tabularnewline
143 & 0.0113900661654882 & 0.0227801323309764 & 0.988609933834512 \tabularnewline
144 & 0.0214370332144918 & 0.0428740664289837 & 0.978562966785508 \tabularnewline
145 & 0.0230377881679705 & 0.0460755763359411 & 0.97696221183203 \tabularnewline
146 & 0.0261027635658703 & 0.0522055271317407 & 0.97389723643413 \tabularnewline
147 & 0.0225778636574895 & 0.0451557273149789 & 0.97742213634251 \tabularnewline
148 & 0.0183778009177402 & 0.0367556018354804 & 0.98162219908226 \tabularnewline
149 & 0.0270909854029118 & 0.0541819708058236 & 0.972909014597088 \tabularnewline
150 & 0.0273860420776806 & 0.0547720841553611 & 0.97261395792232 \tabularnewline
151 & 0.0274956603850688 & 0.0549913207701376 & 0.972504339614931 \tabularnewline
152 & 0.0508732003312983 & 0.101746400662597 & 0.949126799668702 \tabularnewline
153 & 0.0452335304082293 & 0.0904670608164587 & 0.95476646959177 \tabularnewline
154 & 0.0566435336025762 & 0.113287067205152 & 0.943356466397424 \tabularnewline
155 & 0.0497612812859365 & 0.099522562571873 & 0.950238718714064 \tabularnewline
156 & 0.0427690427075912 & 0.0855380854151824 & 0.957230957292409 \tabularnewline
157 & 0.0406570504209577 & 0.0813141008419155 & 0.959342949579042 \tabularnewline
158 & 0.0341824770836162 & 0.0683649541672324 & 0.965817522916384 \tabularnewline
159 & 0.0288721702887758 & 0.0577443405775516 & 0.971127829711224 \tabularnewline
160 & 0.0246136352485875 & 0.0492272704971751 & 0.975386364751412 \tabularnewline
161 & 0.0206410007401242 & 0.0412820014802483 & 0.979358999259876 \tabularnewline
162 & 0.0181205232428178 & 0.0362410464856357 & 0.981879476757182 \tabularnewline
163 & 0.0167382074766192 & 0.0334764149532384 & 0.98326179252338 \tabularnewline
164 & 0.0134700745591786 & 0.0269401491183572 & 0.986529925440821 \tabularnewline
165 & 0.0167835147800124 & 0.0335670295600249 & 0.983216485219988 \tabularnewline
166 & 0.0166327531842505 & 0.0332655063685011 & 0.98336724681575 \tabularnewline
167 & 0.0170508725865711 & 0.0341017451731422 & 0.98294912741343 \tabularnewline
168 & 0.0171204334823333 & 0.0342408669646666 & 0.982879566517667 \tabularnewline
169 & 0.0140272526747086 & 0.0280545053494173 & 0.985972747325291 \tabularnewline
170 & 0.0133266804177280 & 0.0266533608354560 & 0.986673319582272 \tabularnewline
171 & 0.0131585678793743 & 0.0263171357587485 & 0.986841432120626 \tabularnewline
172 & 0.0158147130002957 & 0.0316294260005914 & 0.984185286999704 \tabularnewline
173 & 0.0136203407545708 & 0.0272406815091417 & 0.98637965924543 \tabularnewline
174 & 0.0108808164097114 & 0.0217616328194227 & 0.989119183590289 \tabularnewline
175 & 0.00864151646422963 & 0.0172830329284593 & 0.99135848353577 \tabularnewline
176 & 0.00700675685431188 & 0.0140135137086238 & 0.992993243145688 \tabularnewline
177 & 0.0060471894783343 & 0.0120943789566686 & 0.993952810521666 \tabularnewline
178 & 0.00503913040171671 & 0.0100782608034334 & 0.994960869598283 \tabularnewline
179 & 0.00401747388770052 & 0.00803494777540104 & 0.9959825261123 \tabularnewline
180 & 0.00451027302554978 & 0.00902054605109956 & 0.99548972697445 \tabularnewline
181 & 0.00350849953057786 & 0.00701699906115572 & 0.996491500469422 \tabularnewline
182 & 0.0275600779864224 & 0.0551201559728448 & 0.972439922013578 \tabularnewline
183 & 0.0244928029101194 & 0.0489856058202387 & 0.97550719708988 \tabularnewline
184 & 0.0308406156426509 & 0.0616812312853018 & 0.96915938435735 \tabularnewline
185 & 0.0256600952988652 & 0.0513201905977304 & 0.974339904701135 \tabularnewline
186 & 0.0209850431293722 & 0.0419700862587445 & 0.979014956870628 \tabularnewline
187 & 0.0177004827624057 & 0.0354009655248114 & 0.982299517237594 \tabularnewline
188 & 0.0155464338407518 & 0.0310928676815035 & 0.984453566159248 \tabularnewline
189 & 0.0126041268945271 & 0.0252082537890542 & 0.987395873105473 \tabularnewline
190 & 0.0178486766765944 & 0.0356973533531888 & 0.982151323323406 \tabularnewline
191 & 0.0163610462607619 & 0.0327220925215238 & 0.983638953739238 \tabularnewline
192 & 0.0133225813898815 & 0.0266451627797631 & 0.986677418610118 \tabularnewline
193 & 0.0105817942140977 & 0.0211635884281953 & 0.989418205785902 \tabularnewline
194 & 0.0160191438109151 & 0.0320382876218302 & 0.983980856189085 \tabularnewline
195 & 0.0132084138601339 & 0.0264168277202678 & 0.986791586139866 \tabularnewline
196 & 0.0122595458084661 & 0.0245190916169323 & 0.987740454191534 \tabularnewline
197 & 0.0120194386826860 & 0.0240388773653719 & 0.987980561317314 \tabularnewline
198 & 0.0100451366970225 & 0.0200902733940451 & 0.989954863302977 \tabularnewline
199 & 0.00992672182556577 & 0.0198534436511315 & 0.990073278174434 \tabularnewline
200 & 0.0122626135299298 & 0.0245252270598595 & 0.98773738647007 \tabularnewline
201 & 0.0147089344703591 & 0.0294178689407182 & 0.98529106552964 \tabularnewline
202 & 0.0116918816805833 & 0.0233837633611667 & 0.988308118319417 \tabularnewline
203 & 0.0101582554304047 & 0.0203165108608094 & 0.989841744569595 \tabularnewline
204 & 0.00818288087808572 & 0.0163657617561714 & 0.991817119121914 \tabularnewline
205 & 0.00955555963254857 & 0.0191111192650971 & 0.990444440367451 \tabularnewline
206 & 0.0085584200582121 & 0.0171168401164242 & 0.991441579941788 \tabularnewline
207 & 0.0112261900818945 & 0.022452380163789 & 0.988773809918105 \tabularnewline
208 & 0.0255247968361541 & 0.0510495936723081 & 0.974475203163846 \tabularnewline
209 & 0.0208421362086142 & 0.0416842724172285 & 0.979157863791386 \tabularnewline
210 & 0.0326169724430506 & 0.0652339448861011 & 0.96738302755695 \tabularnewline
211 & 0.0274509623380594 & 0.0549019246761188 & 0.97254903766194 \tabularnewline
212 & 0.0252540497854446 & 0.0505080995708893 & 0.974745950214555 \tabularnewline
213 & 0.0270896554869252 & 0.0541793109738504 & 0.972910344513075 \tabularnewline
214 & 0.0217157530352981 & 0.0434315060705963 & 0.978284246964702 \tabularnewline
215 & 0.0185801398321022 & 0.0371602796642045 & 0.981419860167898 \tabularnewline
216 & 0.0154426394915634 & 0.0308852789831269 & 0.984557360508437 \tabularnewline
217 & 0.0145419798228549 & 0.0290839596457098 & 0.985458020177145 \tabularnewline
218 & 0.0113822719793874 & 0.0227645439587748 & 0.988617728020613 \tabularnewline
219 & 0.00883245461652202 & 0.0176649092330440 & 0.991167545383478 \tabularnewline
220 & 0.00694592460510911 & 0.0138918492102182 & 0.99305407539489 \tabularnewline
221 & 0.0110796042713699 & 0.0221592085427399 & 0.98892039572863 \tabularnewline
222 & 0.00860517707816139 & 0.0172103541563228 & 0.991394822921839 \tabularnewline
223 & 0.00744668633657166 & 0.0148933726731433 & 0.992553313663428 \tabularnewline
224 & 0.00633980485973168 & 0.0126796097194634 & 0.993660195140268 \tabularnewline
225 & 0.00494018218708815 & 0.0098803643741763 & 0.995059817812912 \tabularnewline
226 & 0.00629458031798445 & 0.0125891606359689 & 0.993705419682016 \tabularnewline
227 & 0.0142548819922052 & 0.0285097639844104 & 0.985745118007795 \tabularnewline
228 & 0.078645740481349 & 0.157291480962698 & 0.921354259518651 \tabularnewline
229 & 0.0710467291494872 & 0.142093458298974 & 0.928953270850513 \tabularnewline
230 & 0.0584234427904199 & 0.116846885580840 & 0.94157655720958 \tabularnewline
231 & 0.0590908447126202 & 0.118181689425240 & 0.94090915528738 \tabularnewline
232 & 0.242418527271746 & 0.484837054543492 & 0.757581472728254 \tabularnewline
233 & 0.223150129350766 & 0.446300258701532 & 0.776849870649234 \tabularnewline
234 & 0.203024330232494 & 0.406048660464987 & 0.796975669767506 \tabularnewline
235 & 0.180125768215003 & 0.360251536430006 & 0.819874231784997 \tabularnewline
236 & 0.153650275120109 & 0.307300550240219 & 0.84634972487989 \tabularnewline
237 & 0.184216521362057 & 0.368433042724115 & 0.815783478637943 \tabularnewline
238 & 0.23645900193911 & 0.47291800387822 & 0.76354099806089 \tabularnewline
239 & 0.298129055491288 & 0.596258110982575 & 0.701870944508712 \tabularnewline
240 & 0.258940352962525 & 0.517880705925051 & 0.741059647037475 \tabularnewline
241 & 0.243732362754845 & 0.48746472550969 & 0.756267637245155 \tabularnewline
242 & 0.278933514064246 & 0.557867028128493 & 0.721066485935754 \tabularnewline
243 & 0.267274511024402 & 0.534549022048804 & 0.732725488975598 \tabularnewline
244 & 0.242977296592652 & 0.485954593185305 & 0.757022703407348 \tabularnewline
245 & 0.214090076804756 & 0.428180153609512 & 0.785909923195244 \tabularnewline
246 & 0.183488832070477 & 0.366977664140954 & 0.816511167929523 \tabularnewline
247 & 0.182159754920512 & 0.364319509841025 & 0.817840245079487 \tabularnewline
248 & 0.278669368608702 & 0.557338737217404 & 0.721330631391298 \tabularnewline
249 & 0.262232421822139 & 0.524464843644278 & 0.737767578177861 \tabularnewline
250 & 0.222656632817521 & 0.445313265635042 & 0.777343367182479 \tabularnewline
251 & 0.189286491802871 & 0.378572983605743 & 0.810713508197129 \tabularnewline
252 & 0.212337552441342 & 0.424675104882683 & 0.787662447558658 \tabularnewline
253 & 0.194095847845208 & 0.388191695690417 & 0.805904152154792 \tabularnewline
254 & 0.258985606869743 & 0.517971213739486 & 0.741014393130257 \tabularnewline
255 & 0.24827884999683 & 0.49655769999366 & 0.75172115000317 \tabularnewline
256 & 0.50086758464725 & 0.9982648307055 & 0.49913241535275 \tabularnewline
257 & 0.453196418096379 & 0.906392836192758 & 0.546803581903621 \tabularnewline
258 & 0.461761174397255 & 0.92352234879451 & 0.538238825602745 \tabularnewline
259 & 0.44069371400784 & 0.88138742801568 & 0.55930628599216 \tabularnewline
260 & 0.463087071786498 & 0.926174143572996 & 0.536912928213502 \tabularnewline
261 & 0.403509463059617 & 0.807018926119235 & 0.596490536940383 \tabularnewline
262 & 0.354189024496566 & 0.708378048993133 & 0.645810975503434 \tabularnewline
263 & 0.31660990714488 & 0.63321981428976 & 0.68339009285512 \tabularnewline
264 & 0.259566944219748 & 0.519133888439495 & 0.740433055780252 \tabularnewline
265 & 0.257080674000104 & 0.514161348000209 & 0.742919325999896 \tabularnewline
266 & 0.368586064858854 & 0.737172129717707 & 0.631413935141146 \tabularnewline
267 & 0.613750884771851 & 0.772498230456298 & 0.386249115228149 \tabularnewline
268 & 0.552043750471296 & 0.895912499057408 & 0.447956249528704 \tabularnewline
269 & 0.503051090380986 & 0.993897819238027 & 0.496948909619014 \tabularnewline
270 & 0.51366135445178 & 0.97267729109644 & 0.48633864554822 \tabularnewline
271 & 0.441941819414827 & 0.883883638829655 & 0.558058180585173 \tabularnewline
272 & 0.418639515243933 & 0.837279030487865 & 0.581360484756067 \tabularnewline
273 & 0.364864530929152 & 0.729729061858304 & 0.635135469070848 \tabularnewline
274 & 0.288946915103501 & 0.577893830207001 & 0.711053084896499 \tabularnewline
275 & 0.425595101421128 & 0.851190202842256 & 0.574404898578872 \tabularnewline
276 & 0.376777275592881 & 0.753554551185763 & 0.623222724407119 \tabularnewline
277 & 0.266605613017509 & 0.533211226035017 & 0.733394386982491 \tabularnewline
278 & 0.171092306073470 & 0.342184612146941 & 0.82890769392653 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=105467&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]10[/C][C]0.81408626134769[/C][C]0.371827477304618[/C][C]0.185913738652309[/C][/ROW]
[ROW][C]11[/C][C]0.761229325523223[/C][C]0.477541348953555[/C][C]0.238770674476777[/C][/ROW]
[ROW][C]12[/C][C]0.784144665799992[/C][C]0.431710668400016[/C][C]0.215855334200008[/C][/ROW]
[ROW][C]13[/C][C]0.719161450846134[/C][C]0.561677098307732[/C][C]0.280838549153866[/C][/ROW]
[ROW][C]14[/C][C]0.712411879221667[/C][C]0.575176241556666[/C][C]0.287588120778333[/C][/ROW]
[ROW][C]15[/C][C]0.669044511839594[/C][C]0.661910976320811[/C][C]0.330955488160405[/C][/ROW]
[ROW][C]16[/C][C]0.612600387080064[/C][C]0.774799225839873[/C][C]0.387399612919936[/C][/ROW]
[ROW][C]17[/C][C]0.524822802404638[/C][C]0.950354395190725[/C][C]0.475177197595362[/C][/ROW]
[ROW][C]18[/C][C]0.855741154814498[/C][C]0.288517690371005[/C][C]0.144258845185502[/C][/ROW]
[ROW][C]19[/C][C]0.849998819513108[/C][C]0.300002360973783[/C][C]0.150001180486892[/C][/ROW]
[ROW][C]20[/C][C]0.80200281047647[/C][C]0.395994379047061[/C][C]0.197997189523530[/C][/ROW]
[ROW][C]21[/C][C]0.745897869930954[/C][C]0.508204260138092[/C][C]0.254102130069046[/C][/ROW]
[ROW][C]22[/C][C]0.684099119237835[/C][C]0.63180176152433[/C][C]0.315900880762165[/C][/ROW]
[ROW][C]23[/C][C]0.703792204183171[/C][C]0.592415591633657[/C][C]0.296207795816829[/C][/ROW]
[ROW][C]24[/C][C]0.640615637606269[/C][C]0.718768724787462[/C][C]0.359384362393731[/C][/ROW]
[ROW][C]25[/C][C]0.577482789177759[/C][C]0.845034421644483[/C][C]0.422517210822241[/C][/ROW]
[ROW][C]26[/C][C]0.510840199927044[/C][C]0.978319600145911[/C][C]0.489159800072956[/C][/ROW]
[ROW][C]27[/C][C]0.447186101972807[/C][C]0.894372203945614[/C][C]0.552813898027193[/C][/ROW]
[ROW][C]28[/C][C]0.4304026560373[/C][C]0.8608053120746[/C][C]0.5695973439627[/C][/ROW]
[ROW][C]29[/C][C]0.369874070903403[/C][C]0.739748141806805[/C][C]0.630125929096597[/C][/ROW]
[ROW][C]30[/C][C]0.356279887151216[/C][C]0.712559774302432[/C][C]0.643720112848784[/C][/ROW]
[ROW][C]31[/C][C]0.300856874206313[/C][C]0.601713748412626[/C][C]0.699143125793687[/C][/ROW]
[ROW][C]32[/C][C]0.285203192192067[/C][C]0.570406384384134[/C][C]0.714796807807933[/C][/ROW]
[ROW][C]33[/C][C]0.251839765907608[/C][C]0.503679531815215[/C][C]0.748160234092392[/C][/ROW]
[ROW][C]34[/C][C]0.207049743900599[/C][C]0.414099487801198[/C][C]0.792950256099401[/C][/ROW]
[ROW][C]35[/C][C]0.205931838932882[/C][C]0.411863677865765[/C][C]0.794068161067118[/C][/ROW]
[ROW][C]36[/C][C]0.294191589926571[/C][C]0.588383179853141[/C][C]0.705808410073429[/C][/ROW]
[ROW][C]37[/C][C]0.381722839826487[/C][C]0.763445679652975[/C][C]0.618277160173513[/C][/ROW]
[ROW][C]38[/C][C]0.383989808759571[/C][C]0.767979617519143[/C][C]0.616010191240429[/C][/ROW]
[ROW][C]39[/C][C]0.412444714595412[/C][C]0.824889429190823[/C][C]0.587555285404588[/C][/ROW]
[ROW][C]40[/C][C]0.391693744234272[/C][C]0.783387488468545[/C][C]0.608306255765728[/C][/ROW]
[ROW][C]41[/C][C]0.357991618691334[/C][C]0.715983237382668[/C][C]0.642008381308666[/C][/ROW]
[ROW][C]42[/C][C]0.344927714219763[/C][C]0.689855428439526[/C][C]0.655072285780237[/C][/ROW]
[ROW][C]43[/C][C]0.357907768525071[/C][C]0.715815537050142[/C][C]0.642092231474929[/C][/ROW]
[ROW][C]44[/C][C]0.317195445568800[/C][C]0.634390891137599[/C][C]0.6828045544312[/C][/ROW]
[ROW][C]45[/C][C]0.281112065180269[/C][C]0.562224130360538[/C][C]0.718887934819731[/C][/ROW]
[ROW][C]46[/C][C]0.516421228254308[/C][C]0.967157543491384[/C][C]0.483578771745692[/C][/ROW]
[ROW][C]47[/C][C]0.567873751768147[/C][C]0.864252496463707[/C][C]0.432126248231853[/C][/ROW]
[ROW][C]48[/C][C]0.521401393801848[/C][C]0.957197212396304[/C][C]0.478598606198152[/C][/ROW]
[ROW][C]49[/C][C]0.477155337160499[/C][C]0.954310674320998[/C][C]0.522844662839501[/C][/ROW]
[ROW][C]50[/C][C]0.480679222342281[/C][C]0.961358444684563[/C][C]0.519320777657719[/C][/ROW]
[ROW][C]51[/C][C]0.438573970753701[/C][C]0.877147941507401[/C][C]0.561426029246299[/C][/ROW]
[ROW][C]52[/C][C]0.393324924345819[/C][C]0.786649848691637[/C][C]0.606675075654181[/C][/ROW]
[ROW][C]53[/C][C]0.446961455047453[/C][C]0.893922910094906[/C][C]0.553038544952547[/C][/ROW]
[ROW][C]54[/C][C]0.404471451454385[/C][C]0.80894290290877[/C][C]0.595528548545615[/C][/ROW]
[ROW][C]55[/C][C]0.406474981449883[/C][C]0.812949962899766[/C][C]0.593525018550117[/C][/ROW]
[ROW][C]56[/C][C]0.390812560784678[/C][C]0.781625121569357[/C][C]0.609187439215322[/C][/ROW]
[ROW][C]57[/C][C]0.349516667635936[/C][C]0.699033335271873[/C][C]0.650483332364064[/C][/ROW]
[ROW][C]58[/C][C]0.326711949330064[/C][C]0.653423898660129[/C][C]0.673288050669936[/C][/ROW]
[ROW][C]59[/C][C]0.287653471802315[/C][C]0.57530694360463[/C][C]0.712346528197685[/C][/ROW]
[ROW][C]60[/C][C]0.289704324453997[/C][C]0.579408648907994[/C][C]0.710295675546003[/C][/ROW]
[ROW][C]61[/C][C]0.260293166371497[/C][C]0.520586332742994[/C][C]0.739706833628503[/C][/ROW]
[ROW][C]62[/C][C]0.226680753266022[/C][C]0.453361506532045[/C][C]0.773319246733978[/C][/ROW]
[ROW][C]63[/C][C]0.195968930174228[/C][C]0.391937860348455[/C][C]0.804031069825772[/C][/ROW]
[ROW][C]64[/C][C]0.169447926814637[/C][C]0.338895853629274[/C][C]0.830552073185363[/C][/ROW]
[ROW][C]65[/C][C]0.146350810803735[/C][C]0.29270162160747[/C][C]0.853649189196265[/C][/ROW]
[ROW][C]66[/C][C]0.134138661831729[/C][C]0.268277323663459[/C][C]0.86586133816827[/C][/ROW]
[ROW][C]67[/C][C]0.127503792936273[/C][C]0.255007585872545[/C][C]0.872496207063727[/C][/ROW]
[ROW][C]68[/C][C]0.218035433171164[/C][C]0.436070866342327[/C][C]0.781964566828837[/C][/ROW]
[ROW][C]69[/C][C]0.342188534506532[/C][C]0.684377069013065[/C][C]0.657811465493467[/C][/ROW]
[ROW][C]70[/C][C]0.306235927463672[/C][C]0.612471854927345[/C][C]0.693764072536328[/C][/ROW]
[ROW][C]71[/C][C]0.390194196294308[/C][C]0.780388392588616[/C][C]0.609805803705692[/C][/ROW]
[ROW][C]72[/C][C]0.356334238230657[/C][C]0.712668476461313[/C][C]0.643665761769343[/C][/ROW]
[ROW][C]73[/C][C]0.338884780293373[/C][C]0.677769560586746[/C][C]0.661115219706627[/C][/ROW]
[ROW][C]74[/C][C]0.311393237631701[/C][C]0.622786475263402[/C][C]0.688606762368299[/C][/ROW]
[ROW][C]75[/C][C]0.280709103781977[/C][C]0.561418207563953[/C][C]0.719290896218023[/C][/ROW]
[ROW][C]76[/C][C]0.335687511539226[/C][C]0.671375023078452[/C][C]0.664312488460774[/C][/ROW]
[ROW][C]77[/C][C]0.303569758925077[/C][C]0.607139517850155[/C][C]0.696430241074923[/C][/ROW]
[ROW][C]78[/C][C]0.281518155545272[/C][C]0.563036311090544[/C][C]0.718481844454728[/C][/ROW]
[ROW][C]79[/C][C]0.285126826692255[/C][C]0.57025365338451[/C][C]0.714873173307745[/C][/ROW]
[ROW][C]80[/C][C]0.257586401542857[/C][C]0.515172803085713[/C][C]0.742413598457143[/C][/ROW]
[ROW][C]81[/C][C]0.231165044081092[/C][C]0.462330088162185[/C][C]0.768834955918908[/C][/ROW]
[ROW][C]82[/C][C]0.203898145227965[/C][C]0.40779629045593[/C][C]0.796101854772035[/C][/ROW]
[ROW][C]83[/C][C]0.184079681084158[/C][C]0.368159362168315[/C][C]0.815920318915842[/C][/ROW]
[ROW][C]84[/C][C]0.159801219158885[/C][C]0.31960243831777[/C][C]0.840198780841115[/C][/ROW]
[ROW][C]85[/C][C]0.156752144892515[/C][C]0.313504289785031[/C][C]0.843247855107485[/C][/ROW]
[ROW][C]86[/C][C]0.134875695592182[/C][C]0.269751391184365[/C][C]0.865124304407818[/C][/ROW]
[ROW][C]87[/C][C]0.116908595914122[/C][C]0.233817191828243[/C][C]0.883091404085878[/C][/ROW]
[ROW][C]88[/C][C]0.103935723614244[/C][C]0.207871447228488[/C][C]0.896064276385756[/C][/ROW]
[ROW][C]89[/C][C]0.0879825793184272[/C][C]0.175965158636854[/C][C]0.912017420681573[/C][/ROW]
[ROW][C]90[/C][C]0.0835260265340967[/C][C]0.167052053068193[/C][C]0.916473973465903[/C][/ROW]
[ROW][C]91[/C][C]0.0715942846745897[/C][C]0.143188569349179[/C][C]0.92840571532541[/C][/ROW]
[ROW][C]92[/C][C]0.0609637923475363[/C][C]0.121927584695073[/C][C]0.939036207652464[/C][/ROW]
[ROW][C]93[/C][C]0.0517020187507705[/C][C]0.103404037501541[/C][C]0.94829798124923[/C][/ROW]
[ROW][C]94[/C][C]0.0532408909662384[/C][C]0.106481781932477[/C][C]0.946759109033762[/C][/ROW]
[ROW][C]95[/C][C]0.0467347530242499[/C][C]0.0934695060484998[/C][C]0.95326524697575[/C][/ROW]
[ROW][C]96[/C][C]0.0385127070220555[/C][C]0.077025414044111[/C][C]0.961487292977945[/C][/ROW]
[ROW][C]97[/C][C]0.0417362682329813[/C][C]0.0834725364659625[/C][C]0.958263731767019[/C][/ROW]
[ROW][C]98[/C][C]0.0341719551985899[/C][C]0.0683439103971798[/C][C]0.96582804480141[/C][/ROW]
[ROW][C]99[/C][C]0.0277502789276285[/C][C]0.0555005578552569[/C][C]0.972249721072372[/C][/ROW]
[ROW][C]100[/C][C]0.0248782951046451[/C][C]0.0497565902092902[/C][C]0.975121704895355[/C][/ROW]
[ROW][C]101[/C][C]0.0214931398045805[/C][C]0.042986279609161[/C][C]0.97850686019542[/C][/ROW]
[ROW][C]102[/C][C]0.0254158726861089[/C][C]0.0508317453722177[/C][C]0.97458412731389[/C][/ROW]
[ROW][C]103[/C][C]0.0213231475601716[/C][C]0.0426462951203431[/C][C]0.978676852439828[/C][/ROW]
[ROW][C]104[/C][C]0.0188440854235411[/C][C]0.0376881708470822[/C][C]0.981155914576459[/C][/ROW]
[ROW][C]105[/C][C]0.0239094666217548[/C][C]0.0478189332435096[/C][C]0.976090533378245[/C][/ROW]
[ROW][C]106[/C][C]0.0204778942220001[/C][C]0.0409557884440002[/C][C]0.979522105778[/C][/ROW]
[ROW][C]107[/C][C]0.0163938922168664[/C][C]0.0327877844337328[/C][C]0.983606107783134[/C][/ROW]
[ROW][C]108[/C][C]0.0149252124835692[/C][C]0.0298504249671385[/C][C]0.98507478751643[/C][/ROW]
[ROW][C]109[/C][C]0.0127397008788011[/C][C]0.0254794017576023[/C][C]0.987260299121199[/C][/ROW]
[ROW][C]110[/C][C]0.0105051719089915[/C][C]0.0210103438179831[/C][C]0.989494828091009[/C][/ROW]
[ROW][C]111[/C][C]0.00826461365069741[/C][C]0.0165292273013948[/C][C]0.991735386349303[/C][/ROW]
[ROW][C]112[/C][C]0.00971527581198813[/C][C]0.0194305516239763[/C][C]0.990284724188012[/C][/ROW]
[ROW][C]113[/C][C]0.0136348766829365[/C][C]0.0272697533658729[/C][C]0.986365123317064[/C][/ROW]
[ROW][C]114[/C][C]0.0131765717509175[/C][C]0.0263531435018351[/C][C]0.986823428249082[/C][/ROW]
[ROW][C]115[/C][C]0.0139943263867565[/C][C]0.0279886527735129[/C][C]0.986005673613244[/C][/ROW]
[ROW][C]116[/C][C]0.0117348412744819[/C][C]0.0234696825489638[/C][C]0.988265158725518[/C][/ROW]
[ROW][C]117[/C][C]0.0116259487419365[/C][C]0.0232518974838731[/C][C]0.988374051258063[/C][/ROW]
[ROW][C]118[/C][C]0.00922112841125126[/C][C]0.0184422568225025[/C][C]0.990778871588749[/C][/ROW]
[ROW][C]119[/C][C]0.00861133359943531[/C][C]0.0172226671988706[/C][C]0.991388666400565[/C][/ROW]
[ROW][C]120[/C][C]0.00692821844191024[/C][C]0.0138564368838205[/C][C]0.99307178155809[/C][/ROW]
[ROW][C]121[/C][C]0.00999639730020508[/C][C]0.0199927946004102[/C][C]0.990003602699795[/C][/ROW]
[ROW][C]122[/C][C]0.00850808714494459[/C][C]0.0170161742898892[/C][C]0.991491912855055[/C][/ROW]
[ROW][C]123[/C][C]0.00758308613232852[/C][C]0.0151661722646570[/C][C]0.992416913867672[/C][/ROW]
[ROW][C]124[/C][C]0.00632385276201876[/C][C]0.0126477055240375[/C][C]0.99367614723798[/C][/ROW]
[ROW][C]125[/C][C]0.00501305548590147[/C][C]0.0100261109718029[/C][C]0.994986944514099[/C][/ROW]
[ROW][C]126[/C][C]0.00420040265914217[/C][C]0.00840080531828434[/C][C]0.995799597340858[/C][/ROW]
[ROW][C]127[/C][C]0.00347047296951646[/C][C]0.00694094593903293[/C][C]0.996529527030483[/C][/ROW]
[ROW][C]128[/C][C]0.00535824264931584[/C][C]0.0107164852986317[/C][C]0.994641757350684[/C][/ROW]
[ROW][C]129[/C][C]0.00568698999003677[/C][C]0.0113739799800735[/C][C]0.994313010009963[/C][/ROW]
[ROW][C]130[/C][C]0.0124270263651187[/C][C]0.0248540527302373[/C][C]0.987572973634881[/C][/ROW]
[ROW][C]131[/C][C]0.0137815150574993[/C][C]0.0275630301149985[/C][C]0.9862184849425[/C][/ROW]
[ROW][C]132[/C][C]0.0148180869973087[/C][C]0.0296361739946173[/C][C]0.98518191300269[/C][/ROW]
[ROW][C]133[/C][C]0.0146417651598182[/C][C]0.0292835303196365[/C][C]0.985358234840182[/C][/ROW]
[ROW][C]134[/C][C]0.0118716402018548[/C][C]0.0237432804037096[/C][C]0.988128359798145[/C][/ROW]
[ROW][C]135[/C][C]0.00985584753831606[/C][C]0.0197116950766321[/C][C]0.990144152461684[/C][/ROW]
[ROW][C]136[/C][C]0.00782947463371303[/C][C]0.0156589492674261[/C][C]0.992170525366287[/C][/ROW]
[ROW][C]137[/C][C]0.0104367221830346[/C][C]0.0208734443660692[/C][C]0.989563277816965[/C][/ROW]
[ROW][C]138[/C][C]0.0093357554596756[/C][C]0.0186715109193512[/C][C]0.990664244540324[/C][/ROW]
[ROW][C]139[/C][C]0.0107308754212643[/C][C]0.0214617508425287[/C][C]0.989269124578736[/C][/ROW]
[ROW][C]140[/C][C]0.0147995775811178[/C][C]0.0295991551622355[/C][C]0.985200422418882[/C][/ROW]
[ROW][C]141[/C][C]0.0137372214565108[/C][C]0.0274744429130215[/C][C]0.98626277854349[/C][/ROW]
[ROW][C]142[/C][C]0.0113687319590070[/C][C]0.0227374639180141[/C][C]0.988631268040993[/C][/ROW]
[ROW][C]143[/C][C]0.0113900661654882[/C][C]0.0227801323309764[/C][C]0.988609933834512[/C][/ROW]
[ROW][C]144[/C][C]0.0214370332144918[/C][C]0.0428740664289837[/C][C]0.978562966785508[/C][/ROW]
[ROW][C]145[/C][C]0.0230377881679705[/C][C]0.0460755763359411[/C][C]0.97696221183203[/C][/ROW]
[ROW][C]146[/C][C]0.0261027635658703[/C][C]0.0522055271317407[/C][C]0.97389723643413[/C][/ROW]
[ROW][C]147[/C][C]0.0225778636574895[/C][C]0.0451557273149789[/C][C]0.97742213634251[/C][/ROW]
[ROW][C]148[/C][C]0.0183778009177402[/C][C]0.0367556018354804[/C][C]0.98162219908226[/C][/ROW]
[ROW][C]149[/C][C]0.0270909854029118[/C][C]0.0541819708058236[/C][C]0.972909014597088[/C][/ROW]
[ROW][C]150[/C][C]0.0273860420776806[/C][C]0.0547720841553611[/C][C]0.97261395792232[/C][/ROW]
[ROW][C]151[/C][C]0.0274956603850688[/C][C]0.0549913207701376[/C][C]0.972504339614931[/C][/ROW]
[ROW][C]152[/C][C]0.0508732003312983[/C][C]0.101746400662597[/C][C]0.949126799668702[/C][/ROW]
[ROW][C]153[/C][C]0.0452335304082293[/C][C]0.0904670608164587[/C][C]0.95476646959177[/C][/ROW]
[ROW][C]154[/C][C]0.0566435336025762[/C][C]0.113287067205152[/C][C]0.943356466397424[/C][/ROW]
[ROW][C]155[/C][C]0.0497612812859365[/C][C]0.099522562571873[/C][C]0.950238718714064[/C][/ROW]
[ROW][C]156[/C][C]0.0427690427075912[/C][C]0.0855380854151824[/C][C]0.957230957292409[/C][/ROW]
[ROW][C]157[/C][C]0.0406570504209577[/C][C]0.0813141008419155[/C][C]0.959342949579042[/C][/ROW]
[ROW][C]158[/C][C]0.0341824770836162[/C][C]0.0683649541672324[/C][C]0.965817522916384[/C][/ROW]
[ROW][C]159[/C][C]0.0288721702887758[/C][C]0.0577443405775516[/C][C]0.971127829711224[/C][/ROW]
[ROW][C]160[/C][C]0.0246136352485875[/C][C]0.0492272704971751[/C][C]0.975386364751412[/C][/ROW]
[ROW][C]161[/C][C]0.0206410007401242[/C][C]0.0412820014802483[/C][C]0.979358999259876[/C][/ROW]
[ROW][C]162[/C][C]0.0181205232428178[/C][C]0.0362410464856357[/C][C]0.981879476757182[/C][/ROW]
[ROW][C]163[/C][C]0.0167382074766192[/C][C]0.0334764149532384[/C][C]0.98326179252338[/C][/ROW]
[ROW][C]164[/C][C]0.0134700745591786[/C][C]0.0269401491183572[/C][C]0.986529925440821[/C][/ROW]
[ROW][C]165[/C][C]0.0167835147800124[/C][C]0.0335670295600249[/C][C]0.983216485219988[/C][/ROW]
[ROW][C]166[/C][C]0.0166327531842505[/C][C]0.0332655063685011[/C][C]0.98336724681575[/C][/ROW]
[ROW][C]167[/C][C]0.0170508725865711[/C][C]0.0341017451731422[/C][C]0.98294912741343[/C][/ROW]
[ROW][C]168[/C][C]0.0171204334823333[/C][C]0.0342408669646666[/C][C]0.982879566517667[/C][/ROW]
[ROW][C]169[/C][C]0.0140272526747086[/C][C]0.0280545053494173[/C][C]0.985972747325291[/C][/ROW]
[ROW][C]170[/C][C]0.0133266804177280[/C][C]0.0266533608354560[/C][C]0.986673319582272[/C][/ROW]
[ROW][C]171[/C][C]0.0131585678793743[/C][C]0.0263171357587485[/C][C]0.986841432120626[/C][/ROW]
[ROW][C]172[/C][C]0.0158147130002957[/C][C]0.0316294260005914[/C][C]0.984185286999704[/C][/ROW]
[ROW][C]173[/C][C]0.0136203407545708[/C][C]0.0272406815091417[/C][C]0.98637965924543[/C][/ROW]
[ROW][C]174[/C][C]0.0108808164097114[/C][C]0.0217616328194227[/C][C]0.989119183590289[/C][/ROW]
[ROW][C]175[/C][C]0.00864151646422963[/C][C]0.0172830329284593[/C][C]0.99135848353577[/C][/ROW]
[ROW][C]176[/C][C]0.00700675685431188[/C][C]0.0140135137086238[/C][C]0.992993243145688[/C][/ROW]
[ROW][C]177[/C][C]0.0060471894783343[/C][C]0.0120943789566686[/C][C]0.993952810521666[/C][/ROW]
[ROW][C]178[/C][C]0.00503913040171671[/C][C]0.0100782608034334[/C][C]0.994960869598283[/C][/ROW]
[ROW][C]179[/C][C]0.00401747388770052[/C][C]0.00803494777540104[/C][C]0.9959825261123[/C][/ROW]
[ROW][C]180[/C][C]0.00451027302554978[/C][C]0.00902054605109956[/C][C]0.99548972697445[/C][/ROW]
[ROW][C]181[/C][C]0.00350849953057786[/C][C]0.00701699906115572[/C][C]0.996491500469422[/C][/ROW]
[ROW][C]182[/C][C]0.0275600779864224[/C][C]0.0551201559728448[/C][C]0.972439922013578[/C][/ROW]
[ROW][C]183[/C][C]0.0244928029101194[/C][C]0.0489856058202387[/C][C]0.97550719708988[/C][/ROW]
[ROW][C]184[/C][C]0.0308406156426509[/C][C]0.0616812312853018[/C][C]0.96915938435735[/C][/ROW]
[ROW][C]185[/C][C]0.0256600952988652[/C][C]0.0513201905977304[/C][C]0.974339904701135[/C][/ROW]
[ROW][C]186[/C][C]0.0209850431293722[/C][C]0.0419700862587445[/C][C]0.979014956870628[/C][/ROW]
[ROW][C]187[/C][C]0.0177004827624057[/C][C]0.0354009655248114[/C][C]0.982299517237594[/C][/ROW]
[ROW][C]188[/C][C]0.0155464338407518[/C][C]0.0310928676815035[/C][C]0.984453566159248[/C][/ROW]
[ROW][C]189[/C][C]0.0126041268945271[/C][C]0.0252082537890542[/C][C]0.987395873105473[/C][/ROW]
[ROW][C]190[/C][C]0.0178486766765944[/C][C]0.0356973533531888[/C][C]0.982151323323406[/C][/ROW]
[ROW][C]191[/C][C]0.0163610462607619[/C][C]0.0327220925215238[/C][C]0.983638953739238[/C][/ROW]
[ROW][C]192[/C][C]0.0133225813898815[/C][C]0.0266451627797631[/C][C]0.986677418610118[/C][/ROW]
[ROW][C]193[/C][C]0.0105817942140977[/C][C]0.0211635884281953[/C][C]0.989418205785902[/C][/ROW]
[ROW][C]194[/C][C]0.0160191438109151[/C][C]0.0320382876218302[/C][C]0.983980856189085[/C][/ROW]
[ROW][C]195[/C][C]0.0132084138601339[/C][C]0.0264168277202678[/C][C]0.986791586139866[/C][/ROW]
[ROW][C]196[/C][C]0.0122595458084661[/C][C]0.0245190916169323[/C][C]0.987740454191534[/C][/ROW]
[ROW][C]197[/C][C]0.0120194386826860[/C][C]0.0240388773653719[/C][C]0.987980561317314[/C][/ROW]
[ROW][C]198[/C][C]0.0100451366970225[/C][C]0.0200902733940451[/C][C]0.989954863302977[/C][/ROW]
[ROW][C]199[/C][C]0.00992672182556577[/C][C]0.0198534436511315[/C][C]0.990073278174434[/C][/ROW]
[ROW][C]200[/C][C]0.0122626135299298[/C][C]0.0245252270598595[/C][C]0.98773738647007[/C][/ROW]
[ROW][C]201[/C][C]0.0147089344703591[/C][C]0.0294178689407182[/C][C]0.98529106552964[/C][/ROW]
[ROW][C]202[/C][C]0.0116918816805833[/C][C]0.0233837633611667[/C][C]0.988308118319417[/C][/ROW]
[ROW][C]203[/C][C]0.0101582554304047[/C][C]0.0203165108608094[/C][C]0.989841744569595[/C][/ROW]
[ROW][C]204[/C][C]0.00818288087808572[/C][C]0.0163657617561714[/C][C]0.991817119121914[/C][/ROW]
[ROW][C]205[/C][C]0.00955555963254857[/C][C]0.0191111192650971[/C][C]0.990444440367451[/C][/ROW]
[ROW][C]206[/C][C]0.0085584200582121[/C][C]0.0171168401164242[/C][C]0.991441579941788[/C][/ROW]
[ROW][C]207[/C][C]0.0112261900818945[/C][C]0.022452380163789[/C][C]0.988773809918105[/C][/ROW]
[ROW][C]208[/C][C]0.0255247968361541[/C][C]0.0510495936723081[/C][C]0.974475203163846[/C][/ROW]
[ROW][C]209[/C][C]0.0208421362086142[/C][C]0.0416842724172285[/C][C]0.979157863791386[/C][/ROW]
[ROW][C]210[/C][C]0.0326169724430506[/C][C]0.0652339448861011[/C][C]0.96738302755695[/C][/ROW]
[ROW][C]211[/C][C]0.0274509623380594[/C][C]0.0549019246761188[/C][C]0.97254903766194[/C][/ROW]
[ROW][C]212[/C][C]0.0252540497854446[/C][C]0.0505080995708893[/C][C]0.974745950214555[/C][/ROW]
[ROW][C]213[/C][C]0.0270896554869252[/C][C]0.0541793109738504[/C][C]0.972910344513075[/C][/ROW]
[ROW][C]214[/C][C]0.0217157530352981[/C][C]0.0434315060705963[/C][C]0.978284246964702[/C][/ROW]
[ROW][C]215[/C][C]0.0185801398321022[/C][C]0.0371602796642045[/C][C]0.981419860167898[/C][/ROW]
[ROW][C]216[/C][C]0.0154426394915634[/C][C]0.0308852789831269[/C][C]0.984557360508437[/C][/ROW]
[ROW][C]217[/C][C]0.0145419798228549[/C][C]0.0290839596457098[/C][C]0.985458020177145[/C][/ROW]
[ROW][C]218[/C][C]0.0113822719793874[/C][C]0.0227645439587748[/C][C]0.988617728020613[/C][/ROW]
[ROW][C]219[/C][C]0.00883245461652202[/C][C]0.0176649092330440[/C][C]0.991167545383478[/C][/ROW]
[ROW][C]220[/C][C]0.00694592460510911[/C][C]0.0138918492102182[/C][C]0.99305407539489[/C][/ROW]
[ROW][C]221[/C][C]0.0110796042713699[/C][C]0.0221592085427399[/C][C]0.98892039572863[/C][/ROW]
[ROW][C]222[/C][C]0.00860517707816139[/C][C]0.0172103541563228[/C][C]0.991394822921839[/C][/ROW]
[ROW][C]223[/C][C]0.00744668633657166[/C][C]0.0148933726731433[/C][C]0.992553313663428[/C][/ROW]
[ROW][C]224[/C][C]0.00633980485973168[/C][C]0.0126796097194634[/C][C]0.993660195140268[/C][/ROW]
[ROW][C]225[/C][C]0.00494018218708815[/C][C]0.0098803643741763[/C][C]0.995059817812912[/C][/ROW]
[ROW][C]226[/C][C]0.00629458031798445[/C][C]0.0125891606359689[/C][C]0.993705419682016[/C][/ROW]
[ROW][C]227[/C][C]0.0142548819922052[/C][C]0.0285097639844104[/C][C]0.985745118007795[/C][/ROW]
[ROW][C]228[/C][C]0.078645740481349[/C][C]0.157291480962698[/C][C]0.921354259518651[/C][/ROW]
[ROW][C]229[/C][C]0.0710467291494872[/C][C]0.142093458298974[/C][C]0.928953270850513[/C][/ROW]
[ROW][C]230[/C][C]0.0584234427904199[/C][C]0.116846885580840[/C][C]0.94157655720958[/C][/ROW]
[ROW][C]231[/C][C]0.0590908447126202[/C][C]0.118181689425240[/C][C]0.94090915528738[/C][/ROW]
[ROW][C]232[/C][C]0.242418527271746[/C][C]0.484837054543492[/C][C]0.757581472728254[/C][/ROW]
[ROW][C]233[/C][C]0.223150129350766[/C][C]0.446300258701532[/C][C]0.776849870649234[/C][/ROW]
[ROW][C]234[/C][C]0.203024330232494[/C][C]0.406048660464987[/C][C]0.796975669767506[/C][/ROW]
[ROW][C]235[/C][C]0.180125768215003[/C][C]0.360251536430006[/C][C]0.819874231784997[/C][/ROW]
[ROW][C]236[/C][C]0.153650275120109[/C][C]0.307300550240219[/C][C]0.84634972487989[/C][/ROW]
[ROW][C]237[/C][C]0.184216521362057[/C][C]0.368433042724115[/C][C]0.815783478637943[/C][/ROW]
[ROW][C]238[/C][C]0.23645900193911[/C][C]0.47291800387822[/C][C]0.76354099806089[/C][/ROW]
[ROW][C]239[/C][C]0.298129055491288[/C][C]0.596258110982575[/C][C]0.701870944508712[/C][/ROW]
[ROW][C]240[/C][C]0.258940352962525[/C][C]0.517880705925051[/C][C]0.741059647037475[/C][/ROW]
[ROW][C]241[/C][C]0.243732362754845[/C][C]0.48746472550969[/C][C]0.756267637245155[/C][/ROW]
[ROW][C]242[/C][C]0.278933514064246[/C][C]0.557867028128493[/C][C]0.721066485935754[/C][/ROW]
[ROW][C]243[/C][C]0.267274511024402[/C][C]0.534549022048804[/C][C]0.732725488975598[/C][/ROW]
[ROW][C]244[/C][C]0.242977296592652[/C][C]0.485954593185305[/C][C]0.757022703407348[/C][/ROW]
[ROW][C]245[/C][C]0.214090076804756[/C][C]0.428180153609512[/C][C]0.785909923195244[/C][/ROW]
[ROW][C]246[/C][C]0.183488832070477[/C][C]0.366977664140954[/C][C]0.816511167929523[/C][/ROW]
[ROW][C]247[/C][C]0.182159754920512[/C][C]0.364319509841025[/C][C]0.817840245079487[/C][/ROW]
[ROW][C]248[/C][C]0.278669368608702[/C][C]0.557338737217404[/C][C]0.721330631391298[/C][/ROW]
[ROW][C]249[/C][C]0.262232421822139[/C][C]0.524464843644278[/C][C]0.737767578177861[/C][/ROW]
[ROW][C]250[/C][C]0.222656632817521[/C][C]0.445313265635042[/C][C]0.777343367182479[/C][/ROW]
[ROW][C]251[/C][C]0.189286491802871[/C][C]0.378572983605743[/C][C]0.810713508197129[/C][/ROW]
[ROW][C]252[/C][C]0.212337552441342[/C][C]0.424675104882683[/C][C]0.787662447558658[/C][/ROW]
[ROW][C]253[/C][C]0.194095847845208[/C][C]0.388191695690417[/C][C]0.805904152154792[/C][/ROW]
[ROW][C]254[/C][C]0.258985606869743[/C][C]0.517971213739486[/C][C]0.741014393130257[/C][/ROW]
[ROW][C]255[/C][C]0.24827884999683[/C][C]0.49655769999366[/C][C]0.75172115000317[/C][/ROW]
[ROW][C]256[/C][C]0.50086758464725[/C][C]0.9982648307055[/C][C]0.49913241535275[/C][/ROW]
[ROW][C]257[/C][C]0.453196418096379[/C][C]0.906392836192758[/C][C]0.546803581903621[/C][/ROW]
[ROW][C]258[/C][C]0.461761174397255[/C][C]0.92352234879451[/C][C]0.538238825602745[/C][/ROW]
[ROW][C]259[/C][C]0.44069371400784[/C][C]0.88138742801568[/C][C]0.55930628599216[/C][/ROW]
[ROW][C]260[/C][C]0.463087071786498[/C][C]0.926174143572996[/C][C]0.536912928213502[/C][/ROW]
[ROW][C]261[/C][C]0.403509463059617[/C][C]0.807018926119235[/C][C]0.596490536940383[/C][/ROW]
[ROW][C]262[/C][C]0.354189024496566[/C][C]0.708378048993133[/C][C]0.645810975503434[/C][/ROW]
[ROW][C]263[/C][C]0.31660990714488[/C][C]0.63321981428976[/C][C]0.68339009285512[/C][/ROW]
[ROW][C]264[/C][C]0.259566944219748[/C][C]0.519133888439495[/C][C]0.740433055780252[/C][/ROW]
[ROW][C]265[/C][C]0.257080674000104[/C][C]0.514161348000209[/C][C]0.742919325999896[/C][/ROW]
[ROW][C]266[/C][C]0.368586064858854[/C][C]0.737172129717707[/C][C]0.631413935141146[/C][/ROW]
[ROW][C]267[/C][C]0.613750884771851[/C][C]0.772498230456298[/C][C]0.386249115228149[/C][/ROW]
[ROW][C]268[/C][C]0.552043750471296[/C][C]0.895912499057408[/C][C]0.447956249528704[/C][/ROW]
[ROW][C]269[/C][C]0.503051090380986[/C][C]0.993897819238027[/C][C]0.496948909619014[/C][/ROW]
[ROW][C]270[/C][C]0.51366135445178[/C][C]0.97267729109644[/C][C]0.48633864554822[/C][/ROW]
[ROW][C]271[/C][C]0.441941819414827[/C][C]0.883883638829655[/C][C]0.558058180585173[/C][/ROW]
[ROW][C]272[/C][C]0.418639515243933[/C][C]0.837279030487865[/C][C]0.581360484756067[/C][/ROW]
[ROW][C]273[/C][C]0.364864530929152[/C][C]0.729729061858304[/C][C]0.635135469070848[/C][/ROW]
[ROW][C]274[/C][C]0.288946915103501[/C][C]0.577893830207001[/C][C]0.711053084896499[/C][/ROW]
[ROW][C]275[/C][C]0.425595101421128[/C][C]0.851190202842256[/C][C]0.574404898578872[/C][/ROW]
[ROW][C]276[/C][C]0.376777275592881[/C][C]0.753554551185763[/C][C]0.623222724407119[/C][/ROW]
[ROW][C]277[/C][C]0.266605613017509[/C][C]0.533211226035017[/C][C]0.733394386982491[/C][/ROW]
[ROW][C]278[/C][C]0.171092306073470[/C][C]0.342184612146941[/C][C]0.82890769392653[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=105467&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105467&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.814086261347690.3718274773046180.185913738652309
110.7612293255232230.4775413489535550.238770674476777
120.7841446657999920.4317106684000160.215855334200008
130.7191614508461340.5616770983077320.280838549153866
140.7124118792216670.5751762415566660.287588120778333
150.6690445118395940.6619109763208110.330955488160405
160.6126003870800640.7747992258398730.387399612919936
170.5248228024046380.9503543951907250.475177197595362
180.8557411548144980.2885176903710050.144258845185502
190.8499988195131080.3000023609737830.150001180486892
200.802002810476470.3959943790470610.197997189523530
210.7458978699309540.5082042601380920.254102130069046
220.6840991192378350.631801761524330.315900880762165
230.7037922041831710.5924155916336570.296207795816829
240.6406156376062690.7187687247874620.359384362393731
250.5774827891777590.8450344216444830.422517210822241
260.5108401999270440.9783196001459110.489159800072956
270.4471861019728070.8943722039456140.552813898027193
280.43040265603730.86080531207460.5695973439627
290.3698740709034030.7397481418068050.630125929096597
300.3562798871512160.7125597743024320.643720112848784
310.3008568742063130.6017137484126260.699143125793687
320.2852031921920670.5704063843841340.714796807807933
330.2518397659076080.5036795318152150.748160234092392
340.2070497439005990.4140994878011980.792950256099401
350.2059318389328820.4118636778657650.794068161067118
360.2941915899265710.5883831798531410.705808410073429
370.3817228398264870.7634456796529750.618277160173513
380.3839898087595710.7679796175191430.616010191240429
390.4124447145954120.8248894291908230.587555285404588
400.3916937442342720.7833874884685450.608306255765728
410.3579916186913340.7159832373826680.642008381308666
420.3449277142197630.6898554284395260.655072285780237
430.3579077685250710.7158155370501420.642092231474929
440.3171954455688000.6343908911375990.6828045544312
450.2811120651802690.5622241303605380.718887934819731
460.5164212282543080.9671575434913840.483578771745692
470.5678737517681470.8642524964637070.432126248231853
480.5214013938018480.9571972123963040.478598606198152
490.4771553371604990.9543106743209980.522844662839501
500.4806792223422810.9613584446845630.519320777657719
510.4385739707537010.8771479415074010.561426029246299
520.3933249243458190.7866498486916370.606675075654181
530.4469614550474530.8939229100949060.553038544952547
540.4044714514543850.808942902908770.595528548545615
550.4064749814498830.8129499628997660.593525018550117
560.3908125607846780.7816251215693570.609187439215322
570.3495166676359360.6990333352718730.650483332364064
580.3267119493300640.6534238986601290.673288050669936
590.2876534718023150.575306943604630.712346528197685
600.2897043244539970.5794086489079940.710295675546003
610.2602931663714970.5205863327429940.739706833628503
620.2266807532660220.4533615065320450.773319246733978
630.1959689301742280.3919378603484550.804031069825772
640.1694479268146370.3388958536292740.830552073185363
650.1463508108037350.292701621607470.853649189196265
660.1341386618317290.2682773236634590.86586133816827
670.1275037929362730.2550075858725450.872496207063727
680.2180354331711640.4360708663423270.781964566828837
690.3421885345065320.6843770690130650.657811465493467
700.3062359274636720.6124718549273450.693764072536328
710.3901941962943080.7803883925886160.609805803705692
720.3563342382306570.7126684764613130.643665761769343
730.3388847802933730.6777695605867460.661115219706627
740.3113932376317010.6227864752634020.688606762368299
750.2807091037819770.5614182075639530.719290896218023
760.3356875115392260.6713750230784520.664312488460774
770.3035697589250770.6071395178501550.696430241074923
780.2815181555452720.5630363110905440.718481844454728
790.2851268266922550.570253653384510.714873173307745
800.2575864015428570.5151728030857130.742413598457143
810.2311650440810920.4623300881621850.768834955918908
820.2038981452279650.407796290455930.796101854772035
830.1840796810841580.3681593621683150.815920318915842
840.1598012191588850.319602438317770.840198780841115
850.1567521448925150.3135042897850310.843247855107485
860.1348756955921820.2697513911843650.865124304407818
870.1169085959141220.2338171918282430.883091404085878
880.1039357236142440.2078714472284880.896064276385756
890.08798257931842720.1759651586368540.912017420681573
900.08352602653409670.1670520530681930.916473973465903
910.07159428467458970.1431885693491790.92840571532541
920.06096379234753630.1219275846950730.939036207652464
930.05170201875077050.1034040375015410.94829798124923
940.05324089096623840.1064817819324770.946759109033762
950.04673475302424990.09346950604849980.95326524697575
960.03851270702205550.0770254140441110.961487292977945
970.04173626823298130.08347253646596250.958263731767019
980.03417195519858990.06834391039717980.96582804480141
990.02775027892762850.05550055785525690.972249721072372
1000.02487829510464510.04975659020929020.975121704895355
1010.02149313980458050.0429862796091610.97850686019542
1020.02541587268610890.05083174537221770.97458412731389
1030.02132314756017160.04264629512034310.978676852439828
1040.01884408542354110.03768817084708220.981155914576459
1050.02390946662175480.04781893324350960.976090533378245
1060.02047789422200010.04095578844400020.979522105778
1070.01639389221686640.03278778443373280.983606107783134
1080.01492521248356920.02985042496713850.98507478751643
1090.01273970087880110.02547940175760230.987260299121199
1100.01050517190899150.02101034381798310.989494828091009
1110.008264613650697410.01652922730139480.991735386349303
1120.009715275811988130.01943055162397630.990284724188012
1130.01363487668293650.02726975336587290.986365123317064
1140.01317657175091750.02635314350183510.986823428249082
1150.01399432638675650.02798865277351290.986005673613244
1160.01173484127448190.02346968254896380.988265158725518
1170.01162594874193650.02325189748387310.988374051258063
1180.009221128411251260.01844225682250250.990778871588749
1190.008611333599435310.01722266719887060.991388666400565
1200.006928218441910240.01385643688382050.99307178155809
1210.009996397300205080.01999279460041020.990003602699795
1220.008508087144944590.01701617428988920.991491912855055
1230.007583086132328520.01516617226465700.992416913867672
1240.006323852762018760.01264770552403750.99367614723798
1250.005013055485901470.01002611097180290.994986944514099
1260.004200402659142170.008400805318284340.995799597340858
1270.003470472969516460.006940945939032930.996529527030483
1280.005358242649315840.01071648529863170.994641757350684
1290.005686989990036770.01137397998007350.994313010009963
1300.01242702636511870.02485405273023730.987572973634881
1310.01378151505749930.02756303011499850.9862184849425
1320.01481808699730870.02963617399461730.98518191300269
1330.01464176515981820.02928353031963650.985358234840182
1340.01187164020185480.02374328040370960.988128359798145
1350.009855847538316060.01971169507663210.990144152461684
1360.007829474633713030.01565894926742610.992170525366287
1370.01043672218303460.02087344436606920.989563277816965
1380.00933575545967560.01867151091935120.990664244540324
1390.01073087542126430.02146175084252870.989269124578736
1400.01479957758111780.02959915516223550.985200422418882
1410.01373722145651080.02747444291302150.98626277854349
1420.01136873195900700.02273746391801410.988631268040993
1430.01139006616548820.02278013233097640.988609933834512
1440.02143703321449180.04287406642898370.978562966785508
1450.02303778816797050.04607557633594110.97696221183203
1460.02610276356587030.05220552713174070.97389723643413
1470.02257786365748950.04515572731497890.97742213634251
1480.01837780091774020.03675560183548040.98162219908226
1490.02709098540291180.05418197080582360.972909014597088
1500.02738604207768060.05477208415536110.97261395792232
1510.02749566038506880.05499132077013760.972504339614931
1520.05087320033129830.1017464006625970.949126799668702
1530.04523353040822930.09046706081645870.95476646959177
1540.05664353360257620.1132870672051520.943356466397424
1550.04976128128593650.0995225625718730.950238718714064
1560.04276904270759120.08553808541518240.957230957292409
1570.04065705042095770.08131410084191550.959342949579042
1580.03418247708361620.06836495416723240.965817522916384
1590.02887217028877580.05774434057755160.971127829711224
1600.02461363524858750.04922727049717510.975386364751412
1610.02064100074012420.04128200148024830.979358999259876
1620.01812052324281780.03624104648563570.981879476757182
1630.01673820747661920.03347641495323840.98326179252338
1640.01347007455917860.02694014911835720.986529925440821
1650.01678351478001240.03356702956002490.983216485219988
1660.01663275318425050.03326550636850110.98336724681575
1670.01705087258657110.03410174517314220.98294912741343
1680.01712043348233330.03424086696466660.982879566517667
1690.01402725267470860.02805450534941730.985972747325291
1700.01332668041772800.02665336083545600.986673319582272
1710.01315856787937430.02631713575874850.986841432120626
1720.01581471300029570.03162942600059140.984185286999704
1730.01362034075457080.02724068150914170.98637965924543
1740.01088081640971140.02176163281942270.989119183590289
1750.008641516464229630.01728303292845930.99135848353577
1760.007006756854311880.01401351370862380.992993243145688
1770.00604718947833430.01209437895666860.993952810521666
1780.005039130401716710.01007826080343340.994960869598283
1790.004017473887700520.008034947775401040.9959825261123
1800.004510273025549780.009020546051099560.99548972697445
1810.003508499530577860.007016999061155720.996491500469422
1820.02756007798642240.05512015597284480.972439922013578
1830.02449280291011940.04898560582023870.97550719708988
1840.03084061564265090.06168123128530180.96915938435735
1850.02566009529886520.05132019059773040.974339904701135
1860.02098504312937220.04197008625874450.979014956870628
1870.01770048276240570.03540096552481140.982299517237594
1880.01554643384075180.03109286768150350.984453566159248
1890.01260412689452710.02520825378905420.987395873105473
1900.01784867667659440.03569735335318880.982151323323406
1910.01636104626076190.03272209252152380.983638953739238
1920.01332258138988150.02664516277976310.986677418610118
1930.01058179421409770.02116358842819530.989418205785902
1940.01601914381091510.03203828762183020.983980856189085
1950.01320841386013390.02641682772026780.986791586139866
1960.01225954580846610.02451909161693230.987740454191534
1970.01201943868268600.02403887736537190.987980561317314
1980.01004513669702250.02009027339404510.989954863302977
1990.009926721825565770.01985344365113150.990073278174434
2000.01226261352992980.02452522705985950.98773738647007
2010.01470893447035910.02941786894071820.98529106552964
2020.01169188168058330.02338376336116670.988308118319417
2030.01015825543040470.02031651086080940.989841744569595
2040.008182880878085720.01636576175617140.991817119121914
2050.009555559632548570.01911111926509710.990444440367451
2060.00855842005821210.01711684011642420.991441579941788
2070.01122619008189450.0224523801637890.988773809918105
2080.02552479683615410.05104959367230810.974475203163846
2090.02084213620861420.04168427241722850.979157863791386
2100.03261697244305060.06523394488610110.96738302755695
2110.02745096233805940.05490192467611880.97254903766194
2120.02525404978544460.05050809957088930.974745950214555
2130.02708965548692520.05417931097385040.972910344513075
2140.02171575303529810.04343150607059630.978284246964702
2150.01858013983210220.03716027966420450.981419860167898
2160.01544263949156340.03088527898312690.984557360508437
2170.01454197982285490.02908395964570980.985458020177145
2180.01138227197938740.02276454395877480.988617728020613
2190.008832454616522020.01766490923304400.991167545383478
2200.006945924605109110.01389184921021820.99305407539489
2210.01107960427136990.02215920854273990.98892039572863
2220.008605177078161390.01721035415632280.991394822921839
2230.007446686336571660.01489337267314330.992553313663428
2240.006339804859731680.01267960971946340.993660195140268
2250.004940182187088150.00988036437417630.995059817812912
2260.006294580317984450.01258916063596890.993705419682016
2270.01425488199220520.02850976398441040.985745118007795
2280.0786457404813490.1572914809626980.921354259518651
2290.07104672914948720.1420934582989740.928953270850513
2300.05842344279041990.1168468855808400.94157655720958
2310.05909084471262020.1181816894252400.94090915528738
2320.2424185272717460.4848370545434920.757581472728254
2330.2231501293507660.4463002587015320.776849870649234
2340.2030243302324940.4060486604649870.796975669767506
2350.1801257682150030.3602515364300060.819874231784997
2360.1536502751201090.3073005502402190.84634972487989
2370.1842165213620570.3684330427241150.815783478637943
2380.236459001939110.472918003878220.76354099806089
2390.2981290554912880.5962581109825750.701870944508712
2400.2589403529625250.5178807059250510.741059647037475
2410.2437323627548450.487464725509690.756267637245155
2420.2789335140642460.5578670281284930.721066485935754
2430.2672745110244020.5345490220488040.732725488975598
2440.2429772965926520.4859545931853050.757022703407348
2450.2140900768047560.4281801536095120.785909923195244
2460.1834888320704770.3669776641409540.816511167929523
2470.1821597549205120.3643195098410250.817840245079487
2480.2786693686087020.5573387372174040.721330631391298
2490.2622324218221390.5244648436442780.737767578177861
2500.2226566328175210.4453132656350420.777343367182479
2510.1892864918028710.3785729836057430.810713508197129
2520.2123375524413420.4246751048826830.787662447558658
2530.1940958478452080.3881916956904170.805904152154792
2540.2589856068697430.5179712137394860.741014393130257
2550.248278849996830.496557699993660.75172115000317
2560.500867584647250.99826483070550.49913241535275
2570.4531964180963790.9063928361927580.546803581903621
2580.4617611743972550.923522348794510.538238825602745
2590.440693714007840.881387428015680.55930628599216
2600.4630870717864980.9261741435729960.536912928213502
2610.4035094630596170.8070189261192350.596490536940383
2620.3541890244965660.7083780489931330.645810975503434
2630.316609907144880.633219814289760.68339009285512
2640.2595669442197480.5191338884394950.740433055780252
2650.2570806740001040.5141613480002090.742919325999896
2660.3685860648588540.7371721297177070.631413935141146
2670.6137508847718510.7724982304562980.386249115228149
2680.5520437504712960.8959124990574080.447956249528704
2690.5030510903809860.9938978192380270.496948909619014
2700.513661354451780.972677291096440.48633864554822
2710.4419418194148270.8838836388296550.558058180585173
2720.4186395152439330.8372790304878650.581360484756067
2730.3648645309291520.7297290618583040.635135469070848
2740.2889469151035010.5778938302070010.711053084896499
2750.4255951014211280.8511902028422560.574404898578872
2760.3767772755928810.7535545511857630.623222724407119
2770.2666056130175090.5332112260350170.733394386982491
2780.1710923060734700.3421846121469410.82890769392653






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level60.0223048327137546NOK
5% type I error level1070.397769516728625NOK
10% type I error level1310.486988847583643NOK

\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 & 0.0223048327137546 & NOK \tabularnewline
5% type I error level & 107 & 0.397769516728625 & NOK \tabularnewline
10% type I error level & 131 & 0.486988847583643 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=105467&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]0.0223048327137546[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]107[/C][C]0.397769516728625[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]131[/C][C]0.486988847583643[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=105467&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=105467&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 level60.0223048327137546NOK
5% type I error level1070.397769516728625NOK
10% type I error level1310.486988847583643NOK


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 = 3 ; par2 = equal ; par3 = 2 ; par4 = no ;
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')
}