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 computationFri, 12 Dec 2014 13:29:55 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/12/t14183910090oad1jaw1hiayl7.htm/, Retrieved Thu, 16 May 2024 09:39:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=266670, Retrieved Thu, 16 May 2024 09:39:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact89

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [] [2014-12-10 19:53:13] [02fb6cbf799bcf1e525e4e01c2f27ada]
-   PD    [Multiple Regression] [] [2014-12-12 13:29:55] [ec71b09431fe59ba6fc828a3f51756a9] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.00 0.50 0.67 0.67 0.00 0.50 7.5
1.00 0.60 1.00 0.67 0.50 1.00 2.5
0.89 0.50 0.83 0.33 0.50 1.00 6.0
0.89 0.40 1.00 0.67 0.00 1.00 6.5
0.89 0.50 0.83 0.00 0.00 0.00 1.0
0.89 0.70 0.67 0.00 1.00 1.00 1.0
0.78 0.30 0.00 0.00 0.50 0.50 5.5
0.89 0.40 0.83 0.67 0.50 0.00 8.5
1.00 0.40 0.50 0.67 1.00 1.00 6.5
0.89 0.70 0.83 0.00 0.50 0.00 4.5
0.78 0.60 0.33 0.67 0.50 0.50 2.0
1.00 0.60 0.50 1.00 0.00 0.50 5.0
0.78 0.20 0.67 0.00 0.50 0.50 0.5
0.89 0.40 1.00 0.00 0.50 0.50 5.0
0.89 0.40 0.50 0.67 0.00 1.00 5.0
0.89 0.50 0.67 0.33 0.00 0.00 2.5
0.89 0.30 0.17 0.67 0.00 0.50 5.0
0.89 0.40 0.83 0.33 0.50 0.50 5.5
0.67 0.70 0.67 0.33 0.50 1.00 3.5
1.00 0.50 0.67 0.33 0.00 1.00 3.0
0.78 0.20 0.67 0.00 0.00 1.00 4.0
0.78 0.30 0.50 0.67 0.00 0.50 0.5
0.89 0.60 1.00 0.33 0.00 1.00 6.5
0.78 0.60 0.83 0.33 0.00 1.00 4.5
0.89 0.20 0.83 0.33 0.00 1.00 7.5
0.89 0.70 1.00 0.67 1.00 0.00 5.5
0.33 0.20 0.67 0.00 0.00 0.00 4.0
1.00 1.00 1.00 0.33 1.00 1.00 7.5
0.89 0.40 0.83 0.67 0.00 0.50 7.0
0.89 0.40 1.00 1.00 0.00 1.00 4.0
0.67 0.20 0.83 0.67 0.00 0.50 5.5
0.56 0.40 0.67 0.33 0.00 1.00 2.5
0.89 0.40 0.67 0.00 0.50 1.00 5.5
0.89 0.60 1.00 0.67 0.50 1.00 0.5
0.89 0.70 1.00 0.67 0.50 0.50 3.5
1.00 0.20 0.67 0.67 0.00 0.50 2.5
0.78 0.60 1.00 1.00 0.00 0.50 4.5
0.78 0.30 1.00 1.00 0.50 0.50 4.5
0.33 0.30 0.50 0.33 0.00 0.00 4.5
0.78 0.20 0.67 0.00 0.50 0.00 6.0
0.89 0.50 0.83 0.67 0.50 0.50 2.5
0.89 0.70 1.00 0.67 0.50 1.00 5.0
0.78 0.60 1.00 0.67 0.50 0.50 0.0
0.89 0.40 1.00 0.67 0.50 1.00 5.0
0.89 0.60 1.00 0.33 0.50 1.00 6.5
1.00 0.40 1.00 1.00 0.00 1.00 5.0
0.67 0.30 0.83 0.67 0.00 1.00 6.0
1.00 0.50 0.83 0.67 0.50 0.50 4.5
0.89 0.20 0.50 0.00 0.00 1.00 5.5
0.89 0.30 0.83 0.00 0.50 1.00 1.0
0.89 0.50 0.17 0.00 0.00 1.00 7.5
0.78 0.70 0.83 1.00 0.50 1.00 6.0
0.89 0.40 1.00 0.67 1.00 0.50 5.0
0.78 0.30 1.00 0.00 0.00 0.50 1.0
0.78 0.20 0.67 0.67 1.00 1.00 5.0
1.00 0.50 1.00 0.00 0.00 0.50 6.5
0.78 0.40 1.00 0.00 0.50 0.00 7.0
1.00 0.60 1.00 0.67 1.00 1.00 4.5
0.78 0.40 0.83 1.00 0.00 1.00 0.0
0.67 0.40 0.33 0.00 0.00 0.50 8.5
0.33 0.20 0.33 0.33 0.00 0.00 3.5
1.00 0.90 1.00 0.67 0.50 1.00 7.5
1.00 0.80 1.00 0.67 1.00 0.50 3.5
0.78 0.80 0.83 0.00 0.50 1.00 6.0
0.67 0.30 1.00 1.00 0.50 1.00 1.5
1.00 0.20 0.83 0.67 0.00 0.50 9.0
0.89 0.40 0.67 0.00 0.50 1.00 3.5
0.89 0.20 0.83 1.00 0.00 1.00 3.5
0.78 0.20 0.67 0.67 0.50 1.00 4.0
1.00 0.10 0.83 0.67 0.00 1.00 6.5
0.56 0.40 0.67 1.00 0.50 0.00 7.5
0.67 0.50 1.00 0.00 0.50 0.50 6.0
0.89 0.80 0.83 0.33 0.50 1.00 5.0
0.89 0.40 0.67 0.67 0.00 0.50 5.5
0.89 0.60 0.83 0.33 0.50 0.50 3.5
0.89 0.50 0.83 0.67 0.50 1.00 7.5
1.00 0.60 1.00 0.67 0.50 1.00 1.0
0.78 0.30 0.67 0.00 0.00 0.00 6.5
0.89 0.80 1.00 1.00 0.50 1.00 NA
1.00 0.40 0.33 0.00 0.50 0.00 6.5
1.00 0.60 0.83 0.67 0.50 0.50 6.5
0.89 0.40 1.00 0.33 0.00 0.50 7.0
0.44 0.30 0.83 0.00 0.00 0.00 3.5
0.78 0.80 0.83 0.00 1.00 1.00 1.5
0.89 0.60 0.50 0.33 1.00 1.00 4.0
0.67 0.30 0.50 0.00 0.00 0.00 7.5
0.78 0.50 0.83 0.67 0.50 1.00 4.5
0.78 0.40 1.00 0.33 0.00 1.00 0.0
0.33 0.30 0.33 0.67 0.00 0.00 3.5
0.89 0.70 1.00 0.33 0.00 0.50 5.5
0.89 0.20 0.67 0.33 0.50 0.50 5.0
0.89 0.40 0.83 1.00 0.00 1.00 4.5
0.89 0.60 1.00 0.67 0.50 0.50 2.5
0.56 0.60 0.83 0.00 0.00 1.00 7.5
0.67 0.60 0.83 0.67 0.50 0.50 7.0
0.67 0.40 1.00 0.33 0.50 1.00 0.0
0.78 0.60 0.83 0.00 0.00 1.00 4.5
0.78 0.50 1.00 0.33 0.50 1.00 3.0
0.78 0.50 0.83 0.00 0.00 1.00 1.5
0.89 0.60 0.67 0.00 0.00 1.00 3.5
1.00 0.80 0.83 0.33 0.50 1.00 2.5
0.89 0.50 0.83 0.67 1.00 0.50 5.5
0.89 0.60 0.83 0.67 0.50 1.00 8.0
0.78 0.40 0.83 0.67 0.50 1.00 1.0
1.00 0.30 0.67 0.67 0.50 1.00 5.0
0.78 0.30 0.83 1.00 0.00 0.50 4.5
0.67 0.20 0.00 0.00 0.00 0.00 3.0
0.78 0.40 0.83 0.00 0.00 0.50 3.0
0.89 0.50 1.00 0.00 0.00 0.50 8.0
0.67 0.30 0.17 0.00 0.50 0.00 2.5
0.22 0.40 0.17 0.00 0.50 0.00 7.0
0.44 0.50 0.50 1.00 0.00 0.00 0.0
0.89 0.30 0.50 0.67 0.00 1.00 1.0
0.67 0.50 1.00 0.00 0.00 0.50 3.5
0.89 0.40 0.67 0.67 0.00 0.50 5.5
0.67 0.40 0.83 0.67 0.00 1.00 5.5
0.78 0.60 1.00 0.00 1.00 1.00 0.5
0.78 0.30 1.00 0.67 1.00 1.00 7.5
0.78 0.40 1.00 0.33 1.00 0.50 9
1.00 0.30 1.00 1.00 1.00 1.00 9.5
0.78 1.00 1.00 1.00 1.00 1.00 8.5
0.67 0.40 1.00 0.00 0.00 0.50 7
0.89 0.80 0.83 1.00 0.50 1.00 8
0.89 0.30 1.00 0.67 1.00 1.00 10
1.00 0.50 0.83 0.67 0.00 1.00 7
0.78 0.40 1.00 0.00 0.00 0.50 8.5
0.67 0.30 0.83 0.67 0.00 1.00 9
0.89 0.50 0.83 1.00 0.00 1.00 9.5
0.67 0.30 1.00 0.67 0.00 1.00 4
0.67 0.30 0.67 0.00 0.00 1.00 6
1.00 0.40 0.83 0.00 0.00 1.00 8
0.67 0.30 1.00 0.00 0.00 0.50 5.5
1.00 0.60 1.00 0.33 0.50 0.50 9.5
0.89 0.60 0.83 0.67 1.00 1.00 7.5
0.89 0.40 1.00 1.00 1.00 1.00 7
1.00 0.40 1.00 0.00 0.00 0.00 7.5
0.67 0.40 1.00 0.67 0.00 0.50 8
0.44 0.30 0.67 0.67 0.50 1.00 7
0.89 0.20 1.00 0.33 1.00 0.00 7
0.56 0.50 0.83 0.67 0.00 1.00 6
0.78 0.40 1.00 0.67 1.00 1.00 10
1.00 0.40 1.00 0.67 0.00 0.00 2.5
1.00 0.40 0.83 0.67 0.00 1.00 9
0.89 0.30 0.67 0.67 0.50 0.50 8
0.67 0.40 0.83 0.67 1.00 0.50 6
0.89 0.20 1.00 0.33 0.50 1.00 8.5
0.33 0.00 0.00 0.00 0.00 0.00 6
0.89 0.40 1.00 0.67 0.50 1.00 9
0.78 0.30 0.67 0.00 0.00 0.00 8
0.78 0.60 1.00 0.00 1.00 1.00 8
1.00 0.40 0.67 0.67 0.00 0.50 9
0.44 0.40 1.00 0.00 0.00 0.50 5.5
0.78 0.20 0.67 0.00 0.00 0.00 5
0.67 0.40 0.83 0.00 0.50 0.00 7
0.33 0.20 0.17 0.00 0.50 0.00 5.5
0.89 0.40 0.83 1.00 1.00 1.00 9
0.89 0.30 0.83 0.00 0.00 0.50 2
1.00 0.60 0.83 0.67 1.00 0.00 8.5
0.89 0.60 0.83 1.00 0.00 1.00 9
0.89 0.40 0.83 0.00 0.00 1.00 8.5
1.00 0.50 1.00 0.67 1.00 0.50 9
0.89 0.40 0.83 0.00 0.50 1.00 7.5
1.00 0.60 1.00 1.00 1.00 1.00 10
0.78 0.60 0.83 0.67 0.50 1.00 9
0.78 0.90 1.00 0.67 0.50 1.00 7.5
0.67 0.40 0.83 0.67 0.50 0.00 6
0.89 0.80 1.00 1.00 0.50 1.00 10.5
0.67 0.50 0.83 1.00 0.00 1.00 8.5
0.78 0.40 0.83 1.00 0.00 0.00 8
0.89 0.40 1.00 0.67 1.00 0.50 10
0.89 0.70 1.00 1.00 1.00 0.50 10.5
0.78 0.40 1.00 0.33 1.00 1.00 6.5
1.00 0.80 1.00 0.67 0.50 1.00 9.5
1.00 0.40 1.00 1.00 1.00 0.50 8.5
1.00 0.30 1.00 0.67 0.00 0.50 7.5
0.67 0.50 1.00 0.67 0.50 1.00 5
0.89 0.80 1.00 0.67 1.00 1.00 8
1.00 0.40 0.83 0.33 0.00 0.50 10
1.00 1.00 1.00 1.00 0.50 0.00 7
0.89 0.50 1.00 0.67 1.00 1.00 7.5
0.89 0.50 1.00 0.67 1.00 1.00 7.5
0.89 0.30 1.00 0.33 0.00 1.00 9.5
0.89 0.30 0.83 0.33 0.50 1.00 6
0.89 0.30 0.50 0.00 0.00 1.00 10
1.00 0.40 0.67 0.33 0.50 0.50 7
0.67 0.50 1.00 0.33 0.00 1.00 3
1.00 0.50 0.67 0.67 0.50 1.00 6
0.89 0.40 1.00 0.00 0.00 0.00 7
0.89 0.70 1.00 1.00 0.50 0.00 10
0.89 0.50 0.50 0.33 0.00 0.50 7
0.89 0.40 0.67 0.33 1.00 0.00 3.5
1.00 0.70 0.67 1.00 0.00 1.00 8
1.00 0.70 0.67 1.00 0.00 1.00 10
1.00 0.70 0.67 1.00 0.00 1.00 5.5
0.89 0.70 0.67 1.00 0.00 1.00 6
0.89 0.70 0.67 0.00 0.00 0.00 6.5
0.89 0.70 1.00 0.67 0.50 1.00 6.5
0.33 0.10 0.67 0.33 0.50 0.00 8.5
0.67 0.20 0.67 0.67 0.50 1.00 4
0.56 0.30 0.33 0.33 0.00 1.00 9.5
0.44 0.60 0.83 0.33 0.00 0.50 8
1.00 0.80 1.00 1.00 1.00 1.00 8.5
0.89 0.80 1.00 0.33 0.50 0.50 5.5
0.33 0.00 0.17 0.00 0.00 0.00 7
0.67 0.30 0.67 0.33 0.00 1.00 9
0.67 0.60 0.83 0.33 0.50 1.00 8
1.00 0.50 0.83 0.67 0.00 1.00 10
0.78 0.70 1.00 0.33 0.00 0.50 8
0.67 0.30 0.83 0.00 0.50 1.00 6
1.00 0.30 1.00 0.67 0.00 0.00 8
0.78 0.40 1.00 0.67 0.00 0.50 5
0.89 0.40 0.83 1.00 0.00 1.00 9
0.89 0.10 0.83 0.00 0.00 1.00 4.5
0.89 0.50 1.00 0.67 0.00 1.00 8.5
0.78 0.30 0.67 0.33 0.00 0.50 7
0.00 0.00 0.00 0.00 0.00 0.00 9.5
0.67 0.40 1.00 0.33 0.50 0.00 8.5
1.00 0.60 0.83 0.67 1.00 0.50 7.5
1.00 0.40 1.00 0.33 0.50 1.00 7.5
0.67 0.10 0.33 0.00 0.50 1.00 5
0.89 0.30 0.83 0.00 0.00 1.00 7
0.89 0.70 0.83 0.67 0.00 1.00 8
0.56 0.30 0.17 0.00 0.00 1.00 5.5
0.67 0.50 0.83 0.33 0.50 0.00 8.5
0.67 0.30 0.67 0.33 0.00 0.00 7.5
1.00 0.30 0.83 0.67 1.00 1.00 9.5
1.00 0.60 0.67 0.67 0.50 1.00 7
1.00 0.90 1.00 1.00 0.00 1.00 8
0.67 0.40 0.83 0.00 0.50 1.00 8.5
0.44 0.30 1.00 0.00 0.50 0.50 3.5
0.89 0.90 1.00 0.67 1.00 1.00 6.5
0.44 0.50 1.00 0.00 0.50 0.00 6.5
0.56 0.30 1.00 1.00 0.50 0.50 10.5
0.89 0.60 0.83 0.67 0.00 0.50 8.5
0.67 0.20 1.00 0.33 0.00 0.50 8
0.89 0.40 0.83 1.00 0.50 1.00 10
1.00 0.50 0.83 0.67 0.50 0.50 10
0.78 0.40 0.83 0.67 0.00 0.50 9.5
0.44 0.00 0.00 0.00 0.00 0.00 9
0.89 0.20 1.00 0.33 0.50 1.00 10
0.89 0.50 1.00 0.67 0.50 1.00 7.5
0.89 0.30 1.00 0.67 0.00 0.50 4.5
0.44 0.00 0.00 0.00 0.00 0.00 4.5
1.00 0.50 0.83 1.00 0.00 1.00 0.5
0.89 0.60 0.83 0.33 0.00 1.00 6.5
0.67 0.30 0.83 0.00 0.50 0.50 4.5
0.33 0.00 0.00 0.00 0.00 0.00 5.5
0.78 0.30 0.67 0.00 0.50 0.00 5
0.89 0.50 1.00 0.67 0.50 1.00 6
0.78 0.40 0.67 0.00 0.00 1.00 4
0.78 0.50 0.83 0.67 0.00 0.50 8
0.89 0.70 1.00 1.00 1.00 0.50 10.5
0.89 0.40 0.83 1.00 0.50 1.00 8.5
0.78 0.80 1.00 0.67 0.50 1.00 6.5
0.78 0.60 1.00 0.33 0.50 1.00 8
0.67 0.40 0.83 0.33 0.00 0.50 8.5
0.89 0.50 0.83 0.33 0.50 0.00 5.5
0.89 0.50 1.00 0.00 0.50 1.00 7
0.78 0.30 1.00 0.33 0.00 1.00 5
1.00 0.60 1.00 0.00 0.50 1.00 3.5
1.00 0.30 0.67 0.67 0.00 0.50 5
0.78 0.60 0.83 1.00 0.50 0.50 9
0.78 0.30 0.33 0.33 0.00 1.00 8.5
0.89 0.70 1.00 0.67 1.00 1.00 5
0.89 0.70 1.00 1.00 0.00 1.00 9.5
0.67 0.60 0.67 1.00 0.50 1.00 3
1.00 0.50 1.00 0.33 0.50 0.00 1.5
0.67 0.50 0.83 0.33 0.00 0.50 6
0.56 0.40 0.67 0.00 0.00 1.00 0.5
0.78 0.40 1.00 0.33 1.00 1.00 6.5
1.00 0.70 1.00 1.00 0.00 1.00 7.5
0.67 0.20 0.17 0.00 0.50 0.00 4.5
0.78 0.50 0.83 0.67 0.00 0.50 8
0.56 0.40 0.83 0.67 0.50 0.00 9
1.00 0.20 1.00 0.67 1.00 1.00 7.5
0.89 0.50 0.67 0.67 0.00 0.00 8.5
0.44 0.40 0.50 0.00 0.00 1.00 7
1.00 0.70 0.67 1.00 1.00 1.00 9.5
0.89 0.60 0.83 0.67 1.00 0.00 6.5
0.78 0.40 0.83 0.00 0.00 0.00 9.5
0.89 0.50 1.00 0.67 1.00 1.00 6
0.11 0.00 0.17 0.00 0.00 0.00 8
0.89 0.70 1.00 0.67 0.50 1.00 9.5
0.89 0.40 0.67 0.67 0.00 1.00 8
1.00 0.50 0.67 1.00 0.00 1.00 8
0.89 0.60 0.83 0.67 0.00 0.50 9
1.00 0.80 0.50 0.67 0.50 0.50 5

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time10 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 10 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266670&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]10 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266670&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266670&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 time10 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Ex[t] = + 5.11161 + 0.35279Calculation[t] -0.416251Algebraic_Reasoning[t] + 0.530643Graphical_Interpretation[t] + 1.41931Proportionality_and_Ratio[t] + 0.312193Probability_and_Sampling[t] -0.385491Estimation[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Ex[t] =  +  5.11161 +  0.35279Calculation[t] -0.416251Algebraic_Reasoning[t] +  0.530643Graphical_Interpretation[t] +  1.41931Proportionality_and_Ratio[t] +  0.312193Probability_and_Sampling[t] -0.385491Estimation[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266670&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Ex[t] =  +  5.11161 +  0.35279Calculation[t] -0.416251Algebraic_Reasoning[t] +  0.530643Graphical_Interpretation[t] +  1.41931Proportionality_and_Ratio[t] +  0.312193Probability_and_Sampling[t] -0.385491Estimation[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266670&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266670&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
Ex[t] = + 5.11161 + 0.35279Calculation[t] -0.416251Algebraic_Reasoning[t] + 0.530643Graphical_Interpretation[t] + 1.41931Proportionality_and_Ratio[t] + 0.312193Probability_and_Sampling[t] -0.385491Estimation[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)5.111610.7320366.9832.11867e-111.05933e-11
Calculation0.352791.016710.3470.7288580.364429
Algebraic_Reasoning-0.4162510.932444-0.44640.6556490.327824
Graphical_Interpretation0.5306430.7504160.70710.4800750.240037
Proportionality_and_Ratio1.419310.4715253.010.002851040.00142552
Probability_and_Sampling0.3121930.4333190.72050.4718390.23592
Estimation-0.3854910.416293-0.9260.3552430.177621

\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) & 5.11161 & 0.732036 & 6.983 & 2.11867e-11 & 1.05933e-11 \tabularnewline
Calculation & 0.35279 & 1.01671 & 0.347 & 0.728858 & 0.364429 \tabularnewline
Algebraic_Reasoning & -0.416251 & 0.932444 & -0.4464 & 0.655649 & 0.327824 \tabularnewline
Graphical_Interpretation & 0.530643 & 0.750416 & 0.7071 & 0.480075 & 0.240037 \tabularnewline
Proportionality_and_Ratio & 1.41931 & 0.471525 & 3.01 & 0.00285104 & 0.00142552 \tabularnewline
Probability_and_Sampling & 0.312193 & 0.433319 & 0.7205 & 0.471839 & 0.23592 \tabularnewline
Estimation & -0.385491 & 0.416293 & -0.926 & 0.355243 & 0.177621 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266670&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]5.11161[/C][C]0.732036[/C][C]6.983[/C][C]2.11867e-11[/C][C]1.05933e-11[/C][/ROW]
[ROW][C]Calculation[/C][C]0.35279[/C][C]1.01671[/C][C]0.347[/C][C]0.728858[/C][C]0.364429[/C][/ROW]
[ROW][C]Algebraic_Reasoning[/C][C]-0.416251[/C][C]0.932444[/C][C]-0.4464[/C][C]0.655649[/C][C]0.327824[/C][/ROW]
[ROW][C]Graphical_Interpretation[/C][C]0.530643[/C][C]0.750416[/C][C]0.7071[/C][C]0.480075[/C][C]0.240037[/C][/ROW]
[ROW][C]Proportionality_and_Ratio[/C][C]1.41931[/C][C]0.471525[/C][C]3.01[/C][C]0.00285104[/C][C]0.00142552[/C][/ROW]
[ROW][C]Probability_and_Sampling[/C][C]0.312193[/C][C]0.433319[/C][C]0.7205[/C][C]0.471839[/C][C]0.23592[/C][/ROW]
[ROW][C]Estimation[/C][C]-0.385491[/C][C]0.416293[/C][C]-0.926[/C][C]0.355243[/C][C]0.177621[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266670&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266670&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)5.111610.7320366.9832.11867e-111.05933e-11
Calculation0.352791.016710.3470.7288580.364429
Algebraic_Reasoning-0.4162510.932444-0.44640.6556490.327824
Graphical_Interpretation0.5306430.7504160.70710.4800750.240037
Proportionality_and_Ratio1.419310.4715253.010.002851040.00142552
Probability_and_Sampling0.3121930.4333190.72050.4718390.23592
Estimation-0.3854910.416293-0.9260.3552430.177621






Multiple Linear Regression - Regression Statistics
Multiple R0.219118
R-squared0.0480128
Adjusted R-squared0.02754
F-TEST (value)2.3452
F-TEST (DF numerator)6
F-TEST (DF denominator)279
p-value0.031646
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.5213
Sum Squared Residuals1773.59

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.219118 \tabularnewline
R-squared & 0.0480128 \tabularnewline
Adjusted R-squared & 0.02754 \tabularnewline
F-TEST (value) & 2.3452 \tabularnewline
F-TEST (DF numerator) & 6 \tabularnewline
F-TEST (DF denominator) & 279 \tabularnewline
p-value & 0.031646 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.5213 \tabularnewline
Sum Squared Residuals & 1773.59 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266670&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.219118[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0480128[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.02754[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]2.3452[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]6[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]279[/C][/ROW]
[ROW][C]p-value[/C][C]0.031646[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.5213[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1773.59[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266670&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266670&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 R0.219118
R-squared0.0480128
Adjusted R-squared0.02754
F-TEST (value)2.3452
F-TEST (DF numerator)6
F-TEST (DF denominator)279
p-value0.031646
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.5213
Sum Squared Residuals1773.59






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
17.56.371.13
22.56.46684-3.96684
365.896880.10312
46.56.355180.144817
515.6579-4.6579
615.41645-4.41645
75.55.225260.274737
88.56.806561.69344
96.56.440860.0591381
104.55.73075-1.23075
1126.22644-4.22644
1256.70654-1.70654
130.55.62242-5.12242
1455.75309-0.753087
1556.08986-1.08986
162.56.04137-3.54137
1756.14912-1.14912
185.56.13125-0.63125
193.55.65111-2.15111
2035.69469-2.69469
2145.27358-1.27358
220.56.28543-5.78543
236.55.789370.710633
244.55.66035-1.16035
257.55.865661.63434
265.56.92799-1.42799
2745.50031-1.50031
287.55.973871.52613
2976.457720.542281
3046.82356-2.82356
315.56.46336-0.963355
322.55.58108-3.08108
335.55.385230.11477
340.56.42803-5.92803
353.56.57915-3.07915
362.56.49487-3.99487
374.56.89424-2.39424
384.57.17522-2.67522
394.55.83685-1.33685
4065.815160.184836
412.56.57219-4.07219
4256.3864-1.3864
4306.58197-6.58197
4456.51128-1.51128
456.55.945460.554536
4656.86236-1.86236
4766.22899-0.228985
484.56.611-2.111
495.55.222170.277826
5015.51176-4.51176
517.54.922192.57781
5266.72576-0.725761
5356.86012-1.86012
5415.59981-4.59981
5556.53671-1.53671
566.55.594170.905828
5775.907031.09297
584.56.62293-2.12293
5906.69454-6.69454
608.55.163853.33615
613.55.78827-2.28827
627.56.341961.15804
633.56.73243-3.23243
6465.264830.735174
651.56.94366-5.44366
6696.579782.42022
673.55.38523-1.88523
683.56.8166-3.3166
6946.38061-2.38061
706.56.428660.0713442
717.57.073610.42639
7265.633850.366151
7355.772-0.772005
745.56.37282-0.872816
753.56.048-2.548
767.56.379451.12055
7716.46684-5.46684
786.55.617440.882558
79NANA0.870891
806.56.56937-0.0693725
816.55.565360.934637
8279.0824-2.0824
833.57.42092-3.92092
841.53.33624-1.83624
8541.988432.01157
867.59.34064-1.84064
874.510.3338-5.83381
8802.72921-2.72921
893.53.94049-0.440488
905.56.6296-1.1296
9157.23335-2.23335
924.58.62077-4.12077
932.50.1143652.38563
947.56.952950.547048
95712.9511-5.9511
9600.691979-0.691979
974.57.44828-2.94828
9836.7336-3.7336
991.53.14588-1.64588
1003.56.81081-3.31081
1012.53.72829-1.22829
1025.53.837821.66218
103813.3823-5.38226
10412.4166-1.4166
10557.42891-2.42891
1064.56.76473-2.26473
10735.46797-2.46797
10830.5553662.44463
109810.9694-2.96941
1102.50.769031.73097
111713.7433-6.74334
11205.13149-5.13149
11312.97775-1.97775
1143.54.37282-0.872816
1155.56.18736-0.68736
1165.510.5944-5.09438
1170.5-0.3298050.829805
1187.54.838752.66125
11996.716182.28382
1209.57.847191.65281
1218.57.019381.48062
12275.722941.27706
12384.7093.291
124109.262160.737845
12574.058182.94182
1268.55.728992.77101
12796.191722.80828
1289.511.8192-2.31919
12943.193140.806855
13063.352842.64716
13188.061-0.061002
1325.52.177023.32298
1339.58.493921.00608
1347.57.63575-0.135749
13575.328541.67146
1367.55.970311.52969
13787.219040.780963
13876.653550.346448
13977.10693-0.106928
14062.628573.37143
1411014.2795-4.27948
1422.5-0.1962192.69622
14397.570541.42946
14488.6923-0.692299
14563.611962.38804
1468.57.728030.771969
14763.511282.48872
14896.617442.38256
14985.594382.40562
15085.411622.58838
15198.938240.0617647
1525.56.15907-0.659067
15353.778011.22199
15476.891090.108913
1555.53.545541.95446
156912.5484-3.54841
15720.4182151.58179
1588.56.15012.3499
15995.814043.18596
1608.56.35732.1427
16196.970132.02987
1627.54.591312.90869
163107.299012.70099
16497.764351.23565
1657.58.22895-0.728947
16662.313153.68685
16710.58.614111.88589
1688.57.580030.91997
16984.860123.13988
170106.703623.29638
17110.510.1460.353996
1726.53.383593.11641
1739.58.36731.1327
1748.57.628360.87164
1757.58.89204-1.39204
17653.500881.49912
17784.013963.98604
1781010.1542-0.154199
17976.125750.874249
1807.56.625750.874249
1817.53.914243.58576
1829.59.480130.0198699
18361.180554.81945
184109.085150.914846
18579.75338-2.75338
18633.33335-0.333349
18764.789741.21026
18874.240272.75973
189108.758421.24158
19079.89519-2.89519
1913.52.062371.43763
19284.562373.43763
1931011.0624-1.06237
1945.56.02357-0.523568
19564.989751.01025
1966.56.38640.113596
1976.54.166412.33359
1988.510.8418-2.3418
1994-0.05770864.05771
2009.57.233152.26685
20186.508061.49194
2028.59.05496-0.554959
2035.53.818241.68176
20473.661523.33848
20596.777642.22236
20684.262163.73784
207107.901682.09832
20887.434140.565856
20964.821111.17889
21089.50912-1.50912
21152.733352.26665
21299.93891-0.938911
2134.52.313562.18644
2148.57.393071.10693
21572.611614.38839
2169.57.336592.16341
2178.57.725470.774531
2187.56.067521.43248
2197.57.75207-0.252073
22053.355661.64434
22175.14011.8599
22287.389020.610984
2235.53.204762.29524
2248.57.047011.45299
2257.54.65762.8424
2269.58.791720.708276
22775.654241.34576
22884.892523.10748
2298.510.636-2.13596
2303.53.459250.040749
2316.55.745450.754548
2326.53.09763.4024
23310.58.374472.12553
2348.56.5711.929
23584.889443.11056
236106.6113.389
237106.918913.08109
2389.55.766843.73316
23995.111963.88804
240108.969651.03035
2417.59.58955-2.08955
2424.55.26684-0.766838
2434.510.7305-6.23053
2440.5-0.3008420.800842
2456.57.62689-1.12689
2464.54.228030.271969
2475.56.27354-0.773539
24855.46965-0.469655
24967.19033-1.19033
25042.377291.62271
25184.703623.29638
25210.58.889441.61056
2538.58.305970.194027
2546.54.406662.09334
25585.397542.60246
2568.59.28237-0.782371
2575.54.018721.48128
25877.87544-0.875436
25957.0159-2.0159
2603.54.95325-1.45325
26152.960132.03987
26296.019912.98009
2638.510.0425-1.5425
26452.198682.80132
2659.513.1437-3.64368
26637.91139-4.91139
2671.51.355910.144085
268610.6127-4.61271
2690.50.1460040.353996
2706.55.737490.762513
2717.58.51104-1.01104
2724.52.877291.62271
27385.690142.30986
27498.289430.710567
2757.55.523941.97606
2768.56.480172.01983
27774.374572.62543
2789.59.87941-0.379408
2796.52.660723.83928
2809.510.1258-0.625751
28163.240632.75937
28284.88643.1136
2839.57.680071.81993
28486.645621.35438
28585.374472.62553
286910.311-1.31101
2875NANA

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 7.5 & 6.37 & 1.13 \tabularnewline
2 & 2.5 & 6.46684 & -3.96684 \tabularnewline
3 & 6 & 5.89688 & 0.10312 \tabularnewline
4 & 6.5 & 6.35518 & 0.144817 \tabularnewline
5 & 1 & 5.6579 & -4.6579 \tabularnewline
6 & 1 & 5.41645 & -4.41645 \tabularnewline
7 & 5.5 & 5.22526 & 0.274737 \tabularnewline
8 & 8.5 & 6.80656 & 1.69344 \tabularnewline
9 & 6.5 & 6.44086 & 0.0591381 \tabularnewline
10 & 4.5 & 5.73075 & -1.23075 \tabularnewline
11 & 2 & 6.22644 & -4.22644 \tabularnewline
12 & 5 & 6.70654 & -1.70654 \tabularnewline
13 & 0.5 & 5.62242 & -5.12242 \tabularnewline
14 & 5 & 5.75309 & -0.753087 \tabularnewline
15 & 5 & 6.08986 & -1.08986 \tabularnewline
16 & 2.5 & 6.04137 & -3.54137 \tabularnewline
17 & 5 & 6.14912 & -1.14912 \tabularnewline
18 & 5.5 & 6.13125 & -0.63125 \tabularnewline
19 & 3.5 & 5.65111 & -2.15111 \tabularnewline
20 & 3 & 5.69469 & -2.69469 \tabularnewline
21 & 4 & 5.27358 & -1.27358 \tabularnewline
22 & 0.5 & 6.28543 & -5.78543 \tabularnewline
23 & 6.5 & 5.78937 & 0.710633 \tabularnewline
24 & 4.5 & 5.66035 & -1.16035 \tabularnewline
25 & 7.5 & 5.86566 & 1.63434 \tabularnewline
26 & 5.5 & 6.92799 & -1.42799 \tabularnewline
27 & 4 & 5.50031 & -1.50031 \tabularnewline
28 & 7.5 & 5.97387 & 1.52613 \tabularnewline
29 & 7 & 6.45772 & 0.542281 \tabularnewline
30 & 4 & 6.82356 & -2.82356 \tabularnewline
31 & 5.5 & 6.46336 & -0.963355 \tabularnewline
32 & 2.5 & 5.58108 & -3.08108 \tabularnewline
33 & 5.5 & 5.38523 & 0.11477 \tabularnewline
34 & 0.5 & 6.42803 & -5.92803 \tabularnewline
35 & 3.5 & 6.57915 & -3.07915 \tabularnewline
36 & 2.5 & 6.49487 & -3.99487 \tabularnewline
37 & 4.5 & 6.89424 & -2.39424 \tabularnewline
38 & 4.5 & 7.17522 & -2.67522 \tabularnewline
39 & 4.5 & 5.83685 & -1.33685 \tabularnewline
40 & 6 & 5.81516 & 0.184836 \tabularnewline
41 & 2.5 & 6.57219 & -4.07219 \tabularnewline
42 & 5 & 6.3864 & -1.3864 \tabularnewline
43 & 0 & 6.58197 & -6.58197 \tabularnewline
44 & 5 & 6.51128 & -1.51128 \tabularnewline
45 & 6.5 & 5.94546 & 0.554536 \tabularnewline
46 & 5 & 6.86236 & -1.86236 \tabularnewline
47 & 6 & 6.22899 & -0.228985 \tabularnewline
48 & 4.5 & 6.611 & -2.111 \tabularnewline
49 & 5.5 & 5.22217 & 0.277826 \tabularnewline
50 & 1 & 5.51176 & -4.51176 \tabularnewline
51 & 7.5 & 4.92219 & 2.57781 \tabularnewline
52 & 6 & 6.72576 & -0.725761 \tabularnewline
53 & 5 & 6.86012 & -1.86012 \tabularnewline
54 & 1 & 5.59981 & -4.59981 \tabularnewline
55 & 5 & 6.53671 & -1.53671 \tabularnewline
56 & 6.5 & 5.59417 & 0.905828 \tabularnewline
57 & 7 & 5.90703 & 1.09297 \tabularnewline
58 & 4.5 & 6.62293 & -2.12293 \tabularnewline
59 & 0 & 6.69454 & -6.69454 \tabularnewline
60 & 8.5 & 5.16385 & 3.33615 \tabularnewline
61 & 3.5 & 5.78827 & -2.28827 \tabularnewline
62 & 7.5 & 6.34196 & 1.15804 \tabularnewline
63 & 3.5 & 6.73243 & -3.23243 \tabularnewline
64 & 6 & 5.26483 & 0.735174 \tabularnewline
65 & 1.5 & 6.94366 & -5.44366 \tabularnewline
66 & 9 & 6.57978 & 2.42022 \tabularnewline
67 & 3.5 & 5.38523 & -1.88523 \tabularnewline
68 & 3.5 & 6.8166 & -3.3166 \tabularnewline
69 & 4 & 6.38061 & -2.38061 \tabularnewline
70 & 6.5 & 6.42866 & 0.0713442 \tabularnewline
71 & 7.5 & 7.07361 & 0.42639 \tabularnewline
72 & 6 & 5.63385 & 0.366151 \tabularnewline
73 & 5 & 5.772 & -0.772005 \tabularnewline
74 & 5.5 & 6.37282 & -0.872816 \tabularnewline
75 & 3.5 & 6.048 & -2.548 \tabularnewline
76 & 7.5 & 6.37945 & 1.12055 \tabularnewline
77 & 1 & 6.46684 & -5.46684 \tabularnewline
78 & 6.5 & 5.61744 & 0.882558 \tabularnewline
79 & NA & NA & 0.870891 \tabularnewline
80 & 6.5 & 6.56937 & -0.0693725 \tabularnewline
81 & 6.5 & 5.56536 & 0.934637 \tabularnewline
82 & 7 & 9.0824 & -2.0824 \tabularnewline
83 & 3.5 & 7.42092 & -3.92092 \tabularnewline
84 & 1.5 & 3.33624 & -1.83624 \tabularnewline
85 & 4 & 1.98843 & 2.01157 \tabularnewline
86 & 7.5 & 9.34064 & -1.84064 \tabularnewline
87 & 4.5 & 10.3338 & -5.83381 \tabularnewline
88 & 0 & 2.72921 & -2.72921 \tabularnewline
89 & 3.5 & 3.94049 & -0.440488 \tabularnewline
90 & 5.5 & 6.6296 & -1.1296 \tabularnewline
91 & 5 & 7.23335 & -2.23335 \tabularnewline
92 & 4.5 & 8.62077 & -4.12077 \tabularnewline
93 & 2.5 & 0.114365 & 2.38563 \tabularnewline
94 & 7.5 & 6.95295 & 0.547048 \tabularnewline
95 & 7 & 12.9511 & -5.9511 \tabularnewline
96 & 0 & 0.691979 & -0.691979 \tabularnewline
97 & 4.5 & 7.44828 & -2.94828 \tabularnewline
98 & 3 & 6.7336 & -3.7336 \tabularnewline
99 & 1.5 & 3.14588 & -1.64588 \tabularnewline
100 & 3.5 & 6.81081 & -3.31081 \tabularnewline
101 & 2.5 & 3.72829 & -1.22829 \tabularnewline
102 & 5.5 & 3.83782 & 1.66218 \tabularnewline
103 & 8 & 13.3823 & -5.38226 \tabularnewline
104 & 1 & 2.4166 & -1.4166 \tabularnewline
105 & 5 & 7.42891 & -2.42891 \tabularnewline
106 & 4.5 & 6.76473 & -2.26473 \tabularnewline
107 & 3 & 5.46797 & -2.46797 \tabularnewline
108 & 3 & 0.555366 & 2.44463 \tabularnewline
109 & 8 & 10.9694 & -2.96941 \tabularnewline
110 & 2.5 & 0.76903 & 1.73097 \tabularnewline
111 & 7 & 13.7433 & -6.74334 \tabularnewline
112 & 0 & 5.13149 & -5.13149 \tabularnewline
113 & 1 & 2.97775 & -1.97775 \tabularnewline
114 & 3.5 & 4.37282 & -0.872816 \tabularnewline
115 & 5.5 & 6.18736 & -0.68736 \tabularnewline
116 & 5.5 & 10.5944 & -5.09438 \tabularnewline
117 & 0.5 & -0.329805 & 0.829805 \tabularnewline
118 & 7.5 & 4.83875 & 2.66125 \tabularnewline
119 & 9 & 6.71618 & 2.28382 \tabularnewline
120 & 9.5 & 7.84719 & 1.65281 \tabularnewline
121 & 8.5 & 7.01938 & 1.48062 \tabularnewline
122 & 7 & 5.72294 & 1.27706 \tabularnewline
123 & 8 & 4.709 & 3.291 \tabularnewline
124 & 10 & 9.26216 & 0.737845 \tabularnewline
125 & 7 & 4.05818 & 2.94182 \tabularnewline
126 & 8.5 & 5.72899 & 2.77101 \tabularnewline
127 & 9 & 6.19172 & 2.80828 \tabularnewline
128 & 9.5 & 11.8192 & -2.31919 \tabularnewline
129 & 4 & 3.19314 & 0.806855 \tabularnewline
130 & 6 & 3.35284 & 2.64716 \tabularnewline
131 & 8 & 8.061 & -0.061002 \tabularnewline
132 & 5.5 & 2.17702 & 3.32298 \tabularnewline
133 & 9.5 & 8.49392 & 1.00608 \tabularnewline
134 & 7.5 & 7.63575 & -0.135749 \tabularnewline
135 & 7 & 5.32854 & 1.67146 \tabularnewline
136 & 7.5 & 5.97031 & 1.52969 \tabularnewline
137 & 8 & 7.21904 & 0.780963 \tabularnewline
138 & 7 & 6.65355 & 0.346448 \tabularnewline
139 & 7 & 7.10693 & -0.106928 \tabularnewline
140 & 6 & 2.62857 & 3.37143 \tabularnewline
141 & 10 & 14.2795 & -4.27948 \tabularnewline
142 & 2.5 & -0.196219 & 2.69622 \tabularnewline
143 & 9 & 7.57054 & 1.42946 \tabularnewline
144 & 8 & 8.6923 & -0.692299 \tabularnewline
145 & 6 & 3.61196 & 2.38804 \tabularnewline
146 & 8.5 & 7.72803 & 0.771969 \tabularnewline
147 & 6 & 3.51128 & 2.48872 \tabularnewline
148 & 9 & 6.61744 & 2.38256 \tabularnewline
149 & 8 & 5.59438 & 2.40562 \tabularnewline
150 & 8 & 5.41162 & 2.58838 \tabularnewline
151 & 9 & 8.93824 & 0.0617647 \tabularnewline
152 & 5.5 & 6.15907 & -0.659067 \tabularnewline
153 & 5 & 3.77801 & 1.22199 \tabularnewline
154 & 7 & 6.89109 & 0.108913 \tabularnewline
155 & 5.5 & 3.54554 & 1.95446 \tabularnewline
156 & 9 & 12.5484 & -3.54841 \tabularnewline
157 & 2 & 0.418215 & 1.58179 \tabularnewline
158 & 8.5 & 6.1501 & 2.3499 \tabularnewline
159 & 9 & 5.81404 & 3.18596 \tabularnewline
160 & 8.5 & 6.3573 & 2.1427 \tabularnewline
161 & 9 & 6.97013 & 2.02987 \tabularnewline
162 & 7.5 & 4.59131 & 2.90869 \tabularnewline
163 & 10 & 7.29901 & 2.70099 \tabularnewline
164 & 9 & 7.76435 & 1.23565 \tabularnewline
165 & 7.5 & 8.22895 & -0.728947 \tabularnewline
166 & 6 & 2.31315 & 3.68685 \tabularnewline
167 & 10.5 & 8.61411 & 1.88589 \tabularnewline
168 & 8.5 & 7.58003 & 0.91997 \tabularnewline
169 & 8 & 4.86012 & 3.13988 \tabularnewline
170 & 10 & 6.70362 & 3.29638 \tabularnewline
171 & 10.5 & 10.146 & 0.353996 \tabularnewline
172 & 6.5 & 3.38359 & 3.11641 \tabularnewline
173 & 9.5 & 8.3673 & 1.1327 \tabularnewline
174 & 8.5 & 7.62836 & 0.87164 \tabularnewline
175 & 7.5 & 8.89204 & -1.39204 \tabularnewline
176 & 5 & 3.50088 & 1.49912 \tabularnewline
177 & 8 & 4.01396 & 3.98604 \tabularnewline
178 & 10 & 10.1542 & -0.154199 \tabularnewline
179 & 7 & 6.12575 & 0.874249 \tabularnewline
180 & 7.5 & 6.62575 & 0.874249 \tabularnewline
181 & 7.5 & 3.91424 & 3.58576 \tabularnewline
182 & 9.5 & 9.48013 & 0.0198699 \tabularnewline
183 & 6 & 1.18055 & 4.81945 \tabularnewline
184 & 10 & 9.08515 & 0.914846 \tabularnewline
185 & 7 & 9.75338 & -2.75338 \tabularnewline
186 & 3 & 3.33335 & -0.333349 \tabularnewline
187 & 6 & 4.78974 & 1.21026 \tabularnewline
188 & 7 & 4.24027 & 2.75973 \tabularnewline
189 & 10 & 8.75842 & 1.24158 \tabularnewline
190 & 7 & 9.89519 & -2.89519 \tabularnewline
191 & 3.5 & 2.06237 & 1.43763 \tabularnewline
192 & 8 & 4.56237 & 3.43763 \tabularnewline
193 & 10 & 11.0624 & -1.06237 \tabularnewline
194 & 5.5 & 6.02357 & -0.523568 \tabularnewline
195 & 6 & 4.98975 & 1.01025 \tabularnewline
196 & 6.5 & 6.3864 & 0.113596 \tabularnewline
197 & 6.5 & 4.16641 & 2.33359 \tabularnewline
198 & 8.5 & 10.8418 & -2.3418 \tabularnewline
199 & 4 & -0.0577086 & 4.05771 \tabularnewline
200 & 9.5 & 7.23315 & 2.26685 \tabularnewline
201 & 8 & 6.50806 & 1.49194 \tabularnewline
202 & 8.5 & 9.05496 & -0.554959 \tabularnewline
203 & 5.5 & 3.81824 & 1.68176 \tabularnewline
204 & 7 & 3.66152 & 3.33848 \tabularnewline
205 & 9 & 6.77764 & 2.22236 \tabularnewline
206 & 8 & 4.26216 & 3.73784 \tabularnewline
207 & 10 & 7.90168 & 2.09832 \tabularnewline
208 & 8 & 7.43414 & 0.565856 \tabularnewline
209 & 6 & 4.82111 & 1.17889 \tabularnewline
210 & 8 & 9.50912 & -1.50912 \tabularnewline
211 & 5 & 2.73335 & 2.26665 \tabularnewline
212 & 9 & 9.93891 & -0.938911 \tabularnewline
213 & 4.5 & 2.31356 & 2.18644 \tabularnewline
214 & 8.5 & 7.39307 & 1.10693 \tabularnewline
215 & 7 & 2.61161 & 4.38839 \tabularnewline
216 & 9.5 & 7.33659 & 2.16341 \tabularnewline
217 & 8.5 & 7.72547 & 0.774531 \tabularnewline
218 & 7.5 & 6.06752 & 1.43248 \tabularnewline
219 & 7.5 & 7.75207 & -0.252073 \tabularnewline
220 & 5 & 3.35566 & 1.64434 \tabularnewline
221 & 7 & 5.1401 & 1.8599 \tabularnewline
222 & 8 & 7.38902 & 0.610984 \tabularnewline
223 & 5.5 & 3.20476 & 2.29524 \tabularnewline
224 & 8.5 & 7.04701 & 1.45299 \tabularnewline
225 & 7.5 & 4.6576 & 2.8424 \tabularnewline
226 & 9.5 & 8.79172 & 0.708276 \tabularnewline
227 & 7 & 5.65424 & 1.34576 \tabularnewline
228 & 8 & 4.89252 & 3.10748 \tabularnewline
229 & 8.5 & 10.636 & -2.13596 \tabularnewline
230 & 3.5 & 3.45925 & 0.040749 \tabularnewline
231 & 6.5 & 5.74545 & 0.754548 \tabularnewline
232 & 6.5 & 3.0976 & 3.4024 \tabularnewline
233 & 10.5 & 8.37447 & 2.12553 \tabularnewline
234 & 8.5 & 6.571 & 1.929 \tabularnewline
235 & 8 & 4.88944 & 3.11056 \tabularnewline
236 & 10 & 6.611 & 3.389 \tabularnewline
237 & 10 & 6.91891 & 3.08109 \tabularnewline
238 & 9.5 & 5.76684 & 3.73316 \tabularnewline
239 & 9 & 5.11196 & 3.88804 \tabularnewline
240 & 10 & 8.96965 & 1.03035 \tabularnewline
241 & 7.5 & 9.58955 & -2.08955 \tabularnewline
242 & 4.5 & 5.26684 & -0.766838 \tabularnewline
243 & 4.5 & 10.7305 & -6.23053 \tabularnewline
244 & 0.5 & -0.300842 & 0.800842 \tabularnewline
245 & 6.5 & 7.62689 & -1.12689 \tabularnewline
246 & 4.5 & 4.22803 & 0.271969 \tabularnewline
247 & 5.5 & 6.27354 & -0.773539 \tabularnewline
248 & 5 & 5.46965 & -0.469655 \tabularnewline
249 & 6 & 7.19033 & -1.19033 \tabularnewline
250 & 4 & 2.37729 & 1.62271 \tabularnewline
251 & 8 & 4.70362 & 3.29638 \tabularnewline
252 & 10.5 & 8.88944 & 1.61056 \tabularnewline
253 & 8.5 & 8.30597 & 0.194027 \tabularnewline
254 & 6.5 & 4.40666 & 2.09334 \tabularnewline
255 & 8 & 5.39754 & 2.60246 \tabularnewline
256 & 8.5 & 9.28237 & -0.782371 \tabularnewline
257 & 5.5 & 4.01872 & 1.48128 \tabularnewline
258 & 7 & 7.87544 & -0.875436 \tabularnewline
259 & 5 & 7.0159 & -2.0159 \tabularnewline
260 & 3.5 & 4.95325 & -1.45325 \tabularnewline
261 & 5 & 2.96013 & 2.03987 \tabularnewline
262 & 9 & 6.01991 & 2.98009 \tabularnewline
263 & 8.5 & 10.0425 & -1.5425 \tabularnewline
264 & 5 & 2.19868 & 2.80132 \tabularnewline
265 & 9.5 & 13.1437 & -3.64368 \tabularnewline
266 & 3 & 7.91139 & -4.91139 \tabularnewline
267 & 1.5 & 1.35591 & 0.144085 \tabularnewline
268 & 6 & 10.6127 & -4.61271 \tabularnewline
269 & 0.5 & 0.146004 & 0.353996 \tabularnewline
270 & 6.5 & 5.73749 & 0.762513 \tabularnewline
271 & 7.5 & 8.51104 & -1.01104 \tabularnewline
272 & 4.5 & 2.87729 & 1.62271 \tabularnewline
273 & 8 & 5.69014 & 2.30986 \tabularnewline
274 & 9 & 8.28943 & 0.710567 \tabularnewline
275 & 7.5 & 5.52394 & 1.97606 \tabularnewline
276 & 8.5 & 6.48017 & 2.01983 \tabularnewline
277 & 7 & 4.37457 & 2.62543 \tabularnewline
278 & 9.5 & 9.87941 & -0.379408 \tabularnewline
279 & 6.5 & 2.66072 & 3.83928 \tabularnewline
280 & 9.5 & 10.1258 & -0.625751 \tabularnewline
281 & 6 & 3.24063 & 2.75937 \tabularnewline
282 & 8 & 4.8864 & 3.1136 \tabularnewline
283 & 9.5 & 7.68007 & 1.81993 \tabularnewline
284 & 8 & 6.64562 & 1.35438 \tabularnewline
285 & 8 & 5.37447 & 2.62553 \tabularnewline
286 & 9 & 10.311 & -1.31101 \tabularnewline
287 & 5 & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266670&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]7.5[/C][C]6.37[/C][C]1.13[/C][/ROW]
[ROW][C]2[/C][C]2.5[/C][C]6.46684[/C][C]-3.96684[/C][/ROW]
[ROW][C]3[/C][C]6[/C][C]5.89688[/C][C]0.10312[/C][/ROW]
[ROW][C]4[/C][C]6.5[/C][C]6.35518[/C][C]0.144817[/C][/ROW]
[ROW][C]5[/C][C]1[/C][C]5.6579[/C][C]-4.6579[/C][/ROW]
[ROW][C]6[/C][C]1[/C][C]5.41645[/C][C]-4.41645[/C][/ROW]
[ROW][C]7[/C][C]5.5[/C][C]5.22526[/C][C]0.274737[/C][/ROW]
[ROW][C]8[/C][C]8.5[/C][C]6.80656[/C][C]1.69344[/C][/ROW]
[ROW][C]9[/C][C]6.5[/C][C]6.44086[/C][C]0.0591381[/C][/ROW]
[ROW][C]10[/C][C]4.5[/C][C]5.73075[/C][C]-1.23075[/C][/ROW]
[ROW][C]11[/C][C]2[/C][C]6.22644[/C][C]-4.22644[/C][/ROW]
[ROW][C]12[/C][C]5[/C][C]6.70654[/C][C]-1.70654[/C][/ROW]
[ROW][C]13[/C][C]0.5[/C][C]5.62242[/C][C]-5.12242[/C][/ROW]
[ROW][C]14[/C][C]5[/C][C]5.75309[/C][C]-0.753087[/C][/ROW]
[ROW][C]15[/C][C]5[/C][C]6.08986[/C][C]-1.08986[/C][/ROW]
[ROW][C]16[/C][C]2.5[/C][C]6.04137[/C][C]-3.54137[/C][/ROW]
[ROW][C]17[/C][C]5[/C][C]6.14912[/C][C]-1.14912[/C][/ROW]
[ROW][C]18[/C][C]5.5[/C][C]6.13125[/C][C]-0.63125[/C][/ROW]
[ROW][C]19[/C][C]3.5[/C][C]5.65111[/C][C]-2.15111[/C][/ROW]
[ROW][C]20[/C][C]3[/C][C]5.69469[/C][C]-2.69469[/C][/ROW]
[ROW][C]21[/C][C]4[/C][C]5.27358[/C][C]-1.27358[/C][/ROW]
[ROW][C]22[/C][C]0.5[/C][C]6.28543[/C][C]-5.78543[/C][/ROW]
[ROW][C]23[/C][C]6.5[/C][C]5.78937[/C][C]0.710633[/C][/ROW]
[ROW][C]24[/C][C]4.5[/C][C]5.66035[/C][C]-1.16035[/C][/ROW]
[ROW][C]25[/C][C]7.5[/C][C]5.86566[/C][C]1.63434[/C][/ROW]
[ROW][C]26[/C][C]5.5[/C][C]6.92799[/C][C]-1.42799[/C][/ROW]
[ROW][C]27[/C][C]4[/C][C]5.50031[/C][C]-1.50031[/C][/ROW]
[ROW][C]28[/C][C]7.5[/C][C]5.97387[/C][C]1.52613[/C][/ROW]
[ROW][C]29[/C][C]7[/C][C]6.45772[/C][C]0.542281[/C][/ROW]
[ROW][C]30[/C][C]4[/C][C]6.82356[/C][C]-2.82356[/C][/ROW]
[ROW][C]31[/C][C]5.5[/C][C]6.46336[/C][C]-0.963355[/C][/ROW]
[ROW][C]32[/C][C]2.5[/C][C]5.58108[/C][C]-3.08108[/C][/ROW]
[ROW][C]33[/C][C]5.5[/C][C]5.38523[/C][C]0.11477[/C][/ROW]
[ROW][C]34[/C][C]0.5[/C][C]6.42803[/C][C]-5.92803[/C][/ROW]
[ROW][C]35[/C][C]3.5[/C][C]6.57915[/C][C]-3.07915[/C][/ROW]
[ROW][C]36[/C][C]2.5[/C][C]6.49487[/C][C]-3.99487[/C][/ROW]
[ROW][C]37[/C][C]4.5[/C][C]6.89424[/C][C]-2.39424[/C][/ROW]
[ROW][C]38[/C][C]4.5[/C][C]7.17522[/C][C]-2.67522[/C][/ROW]
[ROW][C]39[/C][C]4.5[/C][C]5.83685[/C][C]-1.33685[/C][/ROW]
[ROW][C]40[/C][C]6[/C][C]5.81516[/C][C]0.184836[/C][/ROW]
[ROW][C]41[/C][C]2.5[/C][C]6.57219[/C][C]-4.07219[/C][/ROW]
[ROW][C]42[/C][C]5[/C][C]6.3864[/C][C]-1.3864[/C][/ROW]
[ROW][C]43[/C][C]0[/C][C]6.58197[/C][C]-6.58197[/C][/ROW]
[ROW][C]44[/C][C]5[/C][C]6.51128[/C][C]-1.51128[/C][/ROW]
[ROW][C]45[/C][C]6.5[/C][C]5.94546[/C][C]0.554536[/C][/ROW]
[ROW][C]46[/C][C]5[/C][C]6.86236[/C][C]-1.86236[/C][/ROW]
[ROW][C]47[/C][C]6[/C][C]6.22899[/C][C]-0.228985[/C][/ROW]
[ROW][C]48[/C][C]4.5[/C][C]6.611[/C][C]-2.111[/C][/ROW]
[ROW][C]49[/C][C]5.5[/C][C]5.22217[/C][C]0.277826[/C][/ROW]
[ROW][C]50[/C][C]1[/C][C]5.51176[/C][C]-4.51176[/C][/ROW]
[ROW][C]51[/C][C]7.5[/C][C]4.92219[/C][C]2.57781[/C][/ROW]
[ROW][C]52[/C][C]6[/C][C]6.72576[/C][C]-0.725761[/C][/ROW]
[ROW][C]53[/C][C]5[/C][C]6.86012[/C][C]-1.86012[/C][/ROW]
[ROW][C]54[/C][C]1[/C][C]5.59981[/C][C]-4.59981[/C][/ROW]
[ROW][C]55[/C][C]5[/C][C]6.53671[/C][C]-1.53671[/C][/ROW]
[ROW][C]56[/C][C]6.5[/C][C]5.59417[/C][C]0.905828[/C][/ROW]
[ROW][C]57[/C][C]7[/C][C]5.90703[/C][C]1.09297[/C][/ROW]
[ROW][C]58[/C][C]4.5[/C][C]6.62293[/C][C]-2.12293[/C][/ROW]
[ROW][C]59[/C][C]0[/C][C]6.69454[/C][C]-6.69454[/C][/ROW]
[ROW][C]60[/C][C]8.5[/C][C]5.16385[/C][C]3.33615[/C][/ROW]
[ROW][C]61[/C][C]3.5[/C][C]5.78827[/C][C]-2.28827[/C][/ROW]
[ROW][C]62[/C][C]7.5[/C][C]6.34196[/C][C]1.15804[/C][/ROW]
[ROW][C]63[/C][C]3.5[/C][C]6.73243[/C][C]-3.23243[/C][/ROW]
[ROW][C]64[/C][C]6[/C][C]5.26483[/C][C]0.735174[/C][/ROW]
[ROW][C]65[/C][C]1.5[/C][C]6.94366[/C][C]-5.44366[/C][/ROW]
[ROW][C]66[/C][C]9[/C][C]6.57978[/C][C]2.42022[/C][/ROW]
[ROW][C]67[/C][C]3.5[/C][C]5.38523[/C][C]-1.88523[/C][/ROW]
[ROW][C]68[/C][C]3.5[/C][C]6.8166[/C][C]-3.3166[/C][/ROW]
[ROW][C]69[/C][C]4[/C][C]6.38061[/C][C]-2.38061[/C][/ROW]
[ROW][C]70[/C][C]6.5[/C][C]6.42866[/C][C]0.0713442[/C][/ROW]
[ROW][C]71[/C][C]7.5[/C][C]7.07361[/C][C]0.42639[/C][/ROW]
[ROW][C]72[/C][C]6[/C][C]5.63385[/C][C]0.366151[/C][/ROW]
[ROW][C]73[/C][C]5[/C][C]5.772[/C][C]-0.772005[/C][/ROW]
[ROW][C]74[/C][C]5.5[/C][C]6.37282[/C][C]-0.872816[/C][/ROW]
[ROW][C]75[/C][C]3.5[/C][C]6.048[/C][C]-2.548[/C][/ROW]
[ROW][C]76[/C][C]7.5[/C][C]6.37945[/C][C]1.12055[/C][/ROW]
[ROW][C]77[/C][C]1[/C][C]6.46684[/C][C]-5.46684[/C][/ROW]
[ROW][C]78[/C][C]6.5[/C][C]5.61744[/C][C]0.882558[/C][/ROW]
[ROW][C]79[/C][C]NA[/C][C]NA[/C][C]0.870891[/C][/ROW]
[ROW][C]80[/C][C]6.5[/C][C]6.56937[/C][C]-0.0693725[/C][/ROW]
[ROW][C]81[/C][C]6.5[/C][C]5.56536[/C][C]0.934637[/C][/ROW]
[ROW][C]82[/C][C]7[/C][C]9.0824[/C][C]-2.0824[/C][/ROW]
[ROW][C]83[/C][C]3.5[/C][C]7.42092[/C][C]-3.92092[/C][/ROW]
[ROW][C]84[/C][C]1.5[/C][C]3.33624[/C][C]-1.83624[/C][/ROW]
[ROW][C]85[/C][C]4[/C][C]1.98843[/C][C]2.01157[/C][/ROW]
[ROW][C]86[/C][C]7.5[/C][C]9.34064[/C][C]-1.84064[/C][/ROW]
[ROW][C]87[/C][C]4.5[/C][C]10.3338[/C][C]-5.83381[/C][/ROW]
[ROW][C]88[/C][C]0[/C][C]2.72921[/C][C]-2.72921[/C][/ROW]
[ROW][C]89[/C][C]3.5[/C][C]3.94049[/C][C]-0.440488[/C][/ROW]
[ROW][C]90[/C][C]5.5[/C][C]6.6296[/C][C]-1.1296[/C][/ROW]
[ROW][C]91[/C][C]5[/C][C]7.23335[/C][C]-2.23335[/C][/ROW]
[ROW][C]92[/C][C]4.5[/C][C]8.62077[/C][C]-4.12077[/C][/ROW]
[ROW][C]93[/C][C]2.5[/C][C]0.114365[/C][C]2.38563[/C][/ROW]
[ROW][C]94[/C][C]7.5[/C][C]6.95295[/C][C]0.547048[/C][/ROW]
[ROW][C]95[/C][C]7[/C][C]12.9511[/C][C]-5.9511[/C][/ROW]
[ROW][C]96[/C][C]0[/C][C]0.691979[/C][C]-0.691979[/C][/ROW]
[ROW][C]97[/C][C]4.5[/C][C]7.44828[/C][C]-2.94828[/C][/ROW]
[ROW][C]98[/C][C]3[/C][C]6.7336[/C][C]-3.7336[/C][/ROW]
[ROW][C]99[/C][C]1.5[/C][C]3.14588[/C][C]-1.64588[/C][/ROW]
[ROW][C]100[/C][C]3.5[/C][C]6.81081[/C][C]-3.31081[/C][/ROW]
[ROW][C]101[/C][C]2.5[/C][C]3.72829[/C][C]-1.22829[/C][/ROW]
[ROW][C]102[/C][C]5.5[/C][C]3.83782[/C][C]1.66218[/C][/ROW]
[ROW][C]103[/C][C]8[/C][C]13.3823[/C][C]-5.38226[/C][/ROW]
[ROW][C]104[/C][C]1[/C][C]2.4166[/C][C]-1.4166[/C][/ROW]
[ROW][C]105[/C][C]5[/C][C]7.42891[/C][C]-2.42891[/C][/ROW]
[ROW][C]106[/C][C]4.5[/C][C]6.76473[/C][C]-2.26473[/C][/ROW]
[ROW][C]107[/C][C]3[/C][C]5.46797[/C][C]-2.46797[/C][/ROW]
[ROW][C]108[/C][C]3[/C][C]0.555366[/C][C]2.44463[/C][/ROW]
[ROW][C]109[/C][C]8[/C][C]10.9694[/C][C]-2.96941[/C][/ROW]
[ROW][C]110[/C][C]2.5[/C][C]0.76903[/C][C]1.73097[/C][/ROW]
[ROW][C]111[/C][C]7[/C][C]13.7433[/C][C]-6.74334[/C][/ROW]
[ROW][C]112[/C][C]0[/C][C]5.13149[/C][C]-5.13149[/C][/ROW]
[ROW][C]113[/C][C]1[/C][C]2.97775[/C][C]-1.97775[/C][/ROW]
[ROW][C]114[/C][C]3.5[/C][C]4.37282[/C][C]-0.872816[/C][/ROW]
[ROW][C]115[/C][C]5.5[/C][C]6.18736[/C][C]-0.68736[/C][/ROW]
[ROW][C]116[/C][C]5.5[/C][C]10.5944[/C][C]-5.09438[/C][/ROW]
[ROW][C]117[/C][C]0.5[/C][C]-0.329805[/C][C]0.829805[/C][/ROW]
[ROW][C]118[/C][C]7.5[/C][C]4.83875[/C][C]2.66125[/C][/ROW]
[ROW][C]119[/C][C]9[/C][C]6.71618[/C][C]2.28382[/C][/ROW]
[ROW][C]120[/C][C]9.5[/C][C]7.84719[/C][C]1.65281[/C][/ROW]
[ROW][C]121[/C][C]8.5[/C][C]7.01938[/C][C]1.48062[/C][/ROW]
[ROW][C]122[/C][C]7[/C][C]5.72294[/C][C]1.27706[/C][/ROW]
[ROW][C]123[/C][C]8[/C][C]4.709[/C][C]3.291[/C][/ROW]
[ROW][C]124[/C][C]10[/C][C]9.26216[/C][C]0.737845[/C][/ROW]
[ROW][C]125[/C][C]7[/C][C]4.05818[/C][C]2.94182[/C][/ROW]
[ROW][C]126[/C][C]8.5[/C][C]5.72899[/C][C]2.77101[/C][/ROW]
[ROW][C]127[/C][C]9[/C][C]6.19172[/C][C]2.80828[/C][/ROW]
[ROW][C]128[/C][C]9.5[/C][C]11.8192[/C][C]-2.31919[/C][/ROW]
[ROW][C]129[/C][C]4[/C][C]3.19314[/C][C]0.806855[/C][/ROW]
[ROW][C]130[/C][C]6[/C][C]3.35284[/C][C]2.64716[/C][/ROW]
[ROW][C]131[/C][C]8[/C][C]8.061[/C][C]-0.061002[/C][/ROW]
[ROW][C]132[/C][C]5.5[/C][C]2.17702[/C][C]3.32298[/C][/ROW]
[ROW][C]133[/C][C]9.5[/C][C]8.49392[/C][C]1.00608[/C][/ROW]
[ROW][C]134[/C][C]7.5[/C][C]7.63575[/C][C]-0.135749[/C][/ROW]
[ROW][C]135[/C][C]7[/C][C]5.32854[/C][C]1.67146[/C][/ROW]
[ROW][C]136[/C][C]7.5[/C][C]5.97031[/C][C]1.52969[/C][/ROW]
[ROW][C]137[/C][C]8[/C][C]7.21904[/C][C]0.780963[/C][/ROW]
[ROW][C]138[/C][C]7[/C][C]6.65355[/C][C]0.346448[/C][/ROW]
[ROW][C]139[/C][C]7[/C][C]7.10693[/C][C]-0.106928[/C][/ROW]
[ROW][C]140[/C][C]6[/C][C]2.62857[/C][C]3.37143[/C][/ROW]
[ROW][C]141[/C][C]10[/C][C]14.2795[/C][C]-4.27948[/C][/ROW]
[ROW][C]142[/C][C]2.5[/C][C]-0.196219[/C][C]2.69622[/C][/ROW]
[ROW][C]143[/C][C]9[/C][C]7.57054[/C][C]1.42946[/C][/ROW]
[ROW][C]144[/C][C]8[/C][C]8.6923[/C][C]-0.692299[/C][/ROW]
[ROW][C]145[/C][C]6[/C][C]3.61196[/C][C]2.38804[/C][/ROW]
[ROW][C]146[/C][C]8.5[/C][C]7.72803[/C][C]0.771969[/C][/ROW]
[ROW][C]147[/C][C]6[/C][C]3.51128[/C][C]2.48872[/C][/ROW]
[ROW][C]148[/C][C]9[/C][C]6.61744[/C][C]2.38256[/C][/ROW]
[ROW][C]149[/C][C]8[/C][C]5.59438[/C][C]2.40562[/C][/ROW]
[ROW][C]150[/C][C]8[/C][C]5.41162[/C][C]2.58838[/C][/ROW]
[ROW][C]151[/C][C]9[/C][C]8.93824[/C][C]0.0617647[/C][/ROW]
[ROW][C]152[/C][C]5.5[/C][C]6.15907[/C][C]-0.659067[/C][/ROW]
[ROW][C]153[/C][C]5[/C][C]3.77801[/C][C]1.22199[/C][/ROW]
[ROW][C]154[/C][C]7[/C][C]6.89109[/C][C]0.108913[/C][/ROW]
[ROW][C]155[/C][C]5.5[/C][C]3.54554[/C][C]1.95446[/C][/ROW]
[ROW][C]156[/C][C]9[/C][C]12.5484[/C][C]-3.54841[/C][/ROW]
[ROW][C]157[/C][C]2[/C][C]0.418215[/C][C]1.58179[/C][/ROW]
[ROW][C]158[/C][C]8.5[/C][C]6.1501[/C][C]2.3499[/C][/ROW]
[ROW][C]159[/C][C]9[/C][C]5.81404[/C][C]3.18596[/C][/ROW]
[ROW][C]160[/C][C]8.5[/C][C]6.3573[/C][C]2.1427[/C][/ROW]
[ROW][C]161[/C][C]9[/C][C]6.97013[/C][C]2.02987[/C][/ROW]
[ROW][C]162[/C][C]7.5[/C][C]4.59131[/C][C]2.90869[/C][/ROW]
[ROW][C]163[/C][C]10[/C][C]7.29901[/C][C]2.70099[/C][/ROW]
[ROW][C]164[/C][C]9[/C][C]7.76435[/C][C]1.23565[/C][/ROW]
[ROW][C]165[/C][C]7.5[/C][C]8.22895[/C][C]-0.728947[/C][/ROW]
[ROW][C]166[/C][C]6[/C][C]2.31315[/C][C]3.68685[/C][/ROW]
[ROW][C]167[/C][C]10.5[/C][C]8.61411[/C][C]1.88589[/C][/ROW]
[ROW][C]168[/C][C]8.5[/C][C]7.58003[/C][C]0.91997[/C][/ROW]
[ROW][C]169[/C][C]8[/C][C]4.86012[/C][C]3.13988[/C][/ROW]
[ROW][C]170[/C][C]10[/C][C]6.70362[/C][C]3.29638[/C][/ROW]
[ROW][C]171[/C][C]10.5[/C][C]10.146[/C][C]0.353996[/C][/ROW]
[ROW][C]172[/C][C]6.5[/C][C]3.38359[/C][C]3.11641[/C][/ROW]
[ROW][C]173[/C][C]9.5[/C][C]8.3673[/C][C]1.1327[/C][/ROW]
[ROW][C]174[/C][C]8.5[/C][C]7.62836[/C][C]0.87164[/C][/ROW]
[ROW][C]175[/C][C]7.5[/C][C]8.89204[/C][C]-1.39204[/C][/ROW]
[ROW][C]176[/C][C]5[/C][C]3.50088[/C][C]1.49912[/C][/ROW]
[ROW][C]177[/C][C]8[/C][C]4.01396[/C][C]3.98604[/C][/ROW]
[ROW][C]178[/C][C]10[/C][C]10.1542[/C][C]-0.154199[/C][/ROW]
[ROW][C]179[/C][C]7[/C][C]6.12575[/C][C]0.874249[/C][/ROW]
[ROW][C]180[/C][C]7.5[/C][C]6.62575[/C][C]0.874249[/C][/ROW]
[ROW][C]181[/C][C]7.5[/C][C]3.91424[/C][C]3.58576[/C][/ROW]
[ROW][C]182[/C][C]9.5[/C][C]9.48013[/C][C]0.0198699[/C][/ROW]
[ROW][C]183[/C][C]6[/C][C]1.18055[/C][C]4.81945[/C][/ROW]
[ROW][C]184[/C][C]10[/C][C]9.08515[/C][C]0.914846[/C][/ROW]
[ROW][C]185[/C][C]7[/C][C]9.75338[/C][C]-2.75338[/C][/ROW]
[ROW][C]186[/C][C]3[/C][C]3.33335[/C][C]-0.333349[/C][/ROW]
[ROW][C]187[/C][C]6[/C][C]4.78974[/C][C]1.21026[/C][/ROW]
[ROW][C]188[/C][C]7[/C][C]4.24027[/C][C]2.75973[/C][/ROW]
[ROW][C]189[/C][C]10[/C][C]8.75842[/C][C]1.24158[/C][/ROW]
[ROW][C]190[/C][C]7[/C][C]9.89519[/C][C]-2.89519[/C][/ROW]
[ROW][C]191[/C][C]3.5[/C][C]2.06237[/C][C]1.43763[/C][/ROW]
[ROW][C]192[/C][C]8[/C][C]4.56237[/C][C]3.43763[/C][/ROW]
[ROW][C]193[/C][C]10[/C][C]11.0624[/C][C]-1.06237[/C][/ROW]
[ROW][C]194[/C][C]5.5[/C][C]6.02357[/C][C]-0.523568[/C][/ROW]
[ROW][C]195[/C][C]6[/C][C]4.98975[/C][C]1.01025[/C][/ROW]
[ROW][C]196[/C][C]6.5[/C][C]6.3864[/C][C]0.113596[/C][/ROW]
[ROW][C]197[/C][C]6.5[/C][C]4.16641[/C][C]2.33359[/C][/ROW]
[ROW][C]198[/C][C]8.5[/C][C]10.8418[/C][C]-2.3418[/C][/ROW]
[ROW][C]199[/C][C]4[/C][C]-0.0577086[/C][C]4.05771[/C][/ROW]
[ROW][C]200[/C][C]9.5[/C][C]7.23315[/C][C]2.26685[/C][/ROW]
[ROW][C]201[/C][C]8[/C][C]6.50806[/C][C]1.49194[/C][/ROW]
[ROW][C]202[/C][C]8.5[/C][C]9.05496[/C][C]-0.554959[/C][/ROW]
[ROW][C]203[/C][C]5.5[/C][C]3.81824[/C][C]1.68176[/C][/ROW]
[ROW][C]204[/C][C]7[/C][C]3.66152[/C][C]3.33848[/C][/ROW]
[ROW][C]205[/C][C]9[/C][C]6.77764[/C][C]2.22236[/C][/ROW]
[ROW][C]206[/C][C]8[/C][C]4.26216[/C][C]3.73784[/C][/ROW]
[ROW][C]207[/C][C]10[/C][C]7.90168[/C][C]2.09832[/C][/ROW]
[ROW][C]208[/C][C]8[/C][C]7.43414[/C][C]0.565856[/C][/ROW]
[ROW][C]209[/C][C]6[/C][C]4.82111[/C][C]1.17889[/C][/ROW]
[ROW][C]210[/C][C]8[/C][C]9.50912[/C][C]-1.50912[/C][/ROW]
[ROW][C]211[/C][C]5[/C][C]2.73335[/C][C]2.26665[/C][/ROW]
[ROW][C]212[/C][C]9[/C][C]9.93891[/C][C]-0.938911[/C][/ROW]
[ROW][C]213[/C][C]4.5[/C][C]2.31356[/C][C]2.18644[/C][/ROW]
[ROW][C]214[/C][C]8.5[/C][C]7.39307[/C][C]1.10693[/C][/ROW]
[ROW][C]215[/C][C]7[/C][C]2.61161[/C][C]4.38839[/C][/ROW]
[ROW][C]216[/C][C]9.5[/C][C]7.33659[/C][C]2.16341[/C][/ROW]
[ROW][C]217[/C][C]8.5[/C][C]7.72547[/C][C]0.774531[/C][/ROW]
[ROW][C]218[/C][C]7.5[/C][C]6.06752[/C][C]1.43248[/C][/ROW]
[ROW][C]219[/C][C]7.5[/C][C]7.75207[/C][C]-0.252073[/C][/ROW]
[ROW][C]220[/C][C]5[/C][C]3.35566[/C][C]1.64434[/C][/ROW]
[ROW][C]221[/C][C]7[/C][C]5.1401[/C][C]1.8599[/C][/ROW]
[ROW][C]222[/C][C]8[/C][C]7.38902[/C][C]0.610984[/C][/ROW]
[ROW][C]223[/C][C]5.5[/C][C]3.20476[/C][C]2.29524[/C][/ROW]
[ROW][C]224[/C][C]8.5[/C][C]7.04701[/C][C]1.45299[/C][/ROW]
[ROW][C]225[/C][C]7.5[/C][C]4.6576[/C][C]2.8424[/C][/ROW]
[ROW][C]226[/C][C]9.5[/C][C]8.79172[/C][C]0.708276[/C][/ROW]
[ROW][C]227[/C][C]7[/C][C]5.65424[/C][C]1.34576[/C][/ROW]
[ROW][C]228[/C][C]8[/C][C]4.89252[/C][C]3.10748[/C][/ROW]
[ROW][C]229[/C][C]8.5[/C][C]10.636[/C][C]-2.13596[/C][/ROW]
[ROW][C]230[/C][C]3.5[/C][C]3.45925[/C][C]0.040749[/C][/ROW]
[ROW][C]231[/C][C]6.5[/C][C]5.74545[/C][C]0.754548[/C][/ROW]
[ROW][C]232[/C][C]6.5[/C][C]3.0976[/C][C]3.4024[/C][/ROW]
[ROW][C]233[/C][C]10.5[/C][C]8.37447[/C][C]2.12553[/C][/ROW]
[ROW][C]234[/C][C]8.5[/C][C]6.571[/C][C]1.929[/C][/ROW]
[ROW][C]235[/C][C]8[/C][C]4.88944[/C][C]3.11056[/C][/ROW]
[ROW][C]236[/C][C]10[/C][C]6.611[/C][C]3.389[/C][/ROW]
[ROW][C]237[/C][C]10[/C][C]6.91891[/C][C]3.08109[/C][/ROW]
[ROW][C]238[/C][C]9.5[/C][C]5.76684[/C][C]3.73316[/C][/ROW]
[ROW][C]239[/C][C]9[/C][C]5.11196[/C][C]3.88804[/C][/ROW]
[ROW][C]240[/C][C]10[/C][C]8.96965[/C][C]1.03035[/C][/ROW]
[ROW][C]241[/C][C]7.5[/C][C]9.58955[/C][C]-2.08955[/C][/ROW]
[ROW][C]242[/C][C]4.5[/C][C]5.26684[/C][C]-0.766838[/C][/ROW]
[ROW][C]243[/C][C]4.5[/C][C]10.7305[/C][C]-6.23053[/C][/ROW]
[ROW][C]244[/C][C]0.5[/C][C]-0.300842[/C][C]0.800842[/C][/ROW]
[ROW][C]245[/C][C]6.5[/C][C]7.62689[/C][C]-1.12689[/C][/ROW]
[ROW][C]246[/C][C]4.5[/C][C]4.22803[/C][C]0.271969[/C][/ROW]
[ROW][C]247[/C][C]5.5[/C][C]6.27354[/C][C]-0.773539[/C][/ROW]
[ROW][C]248[/C][C]5[/C][C]5.46965[/C][C]-0.469655[/C][/ROW]
[ROW][C]249[/C][C]6[/C][C]7.19033[/C][C]-1.19033[/C][/ROW]
[ROW][C]250[/C][C]4[/C][C]2.37729[/C][C]1.62271[/C][/ROW]
[ROW][C]251[/C][C]8[/C][C]4.70362[/C][C]3.29638[/C][/ROW]
[ROW][C]252[/C][C]10.5[/C][C]8.88944[/C][C]1.61056[/C][/ROW]
[ROW][C]253[/C][C]8.5[/C][C]8.30597[/C][C]0.194027[/C][/ROW]
[ROW][C]254[/C][C]6.5[/C][C]4.40666[/C][C]2.09334[/C][/ROW]
[ROW][C]255[/C][C]8[/C][C]5.39754[/C][C]2.60246[/C][/ROW]
[ROW][C]256[/C][C]8.5[/C][C]9.28237[/C][C]-0.782371[/C][/ROW]
[ROW][C]257[/C][C]5.5[/C][C]4.01872[/C][C]1.48128[/C][/ROW]
[ROW][C]258[/C][C]7[/C][C]7.87544[/C][C]-0.875436[/C][/ROW]
[ROW][C]259[/C][C]5[/C][C]7.0159[/C][C]-2.0159[/C][/ROW]
[ROW][C]260[/C][C]3.5[/C][C]4.95325[/C][C]-1.45325[/C][/ROW]
[ROW][C]261[/C][C]5[/C][C]2.96013[/C][C]2.03987[/C][/ROW]
[ROW][C]262[/C][C]9[/C][C]6.01991[/C][C]2.98009[/C][/ROW]
[ROW][C]263[/C][C]8.5[/C][C]10.0425[/C][C]-1.5425[/C][/ROW]
[ROW][C]264[/C][C]5[/C][C]2.19868[/C][C]2.80132[/C][/ROW]
[ROW][C]265[/C][C]9.5[/C][C]13.1437[/C][C]-3.64368[/C][/ROW]
[ROW][C]266[/C][C]3[/C][C]7.91139[/C][C]-4.91139[/C][/ROW]
[ROW][C]267[/C][C]1.5[/C][C]1.35591[/C][C]0.144085[/C][/ROW]
[ROW][C]268[/C][C]6[/C][C]10.6127[/C][C]-4.61271[/C][/ROW]
[ROW][C]269[/C][C]0.5[/C][C]0.146004[/C][C]0.353996[/C][/ROW]
[ROW][C]270[/C][C]6.5[/C][C]5.73749[/C][C]0.762513[/C][/ROW]
[ROW][C]271[/C][C]7.5[/C][C]8.51104[/C][C]-1.01104[/C][/ROW]
[ROW][C]272[/C][C]4.5[/C][C]2.87729[/C][C]1.62271[/C][/ROW]
[ROW][C]273[/C][C]8[/C][C]5.69014[/C][C]2.30986[/C][/ROW]
[ROW][C]274[/C][C]9[/C][C]8.28943[/C][C]0.710567[/C][/ROW]
[ROW][C]275[/C][C]7.5[/C][C]5.52394[/C][C]1.97606[/C][/ROW]
[ROW][C]276[/C][C]8.5[/C][C]6.48017[/C][C]2.01983[/C][/ROW]
[ROW][C]277[/C][C]7[/C][C]4.37457[/C][C]2.62543[/C][/ROW]
[ROW][C]278[/C][C]9.5[/C][C]9.87941[/C][C]-0.379408[/C][/ROW]
[ROW][C]279[/C][C]6.5[/C][C]2.66072[/C][C]3.83928[/C][/ROW]
[ROW][C]280[/C][C]9.5[/C][C]10.1258[/C][C]-0.625751[/C][/ROW]
[ROW][C]281[/C][C]6[/C][C]3.24063[/C][C]2.75937[/C][/ROW]
[ROW][C]282[/C][C]8[/C][C]4.8864[/C][C]3.1136[/C][/ROW]
[ROW][C]283[/C][C]9.5[/C][C]7.68007[/C][C]1.81993[/C][/ROW]
[ROW][C]284[/C][C]8[/C][C]6.64562[/C][C]1.35438[/C][/ROW]
[ROW][C]285[/C][C]8[/C][C]5.37447[/C][C]2.62553[/C][/ROW]
[ROW][C]286[/C][C]9[/C][C]10.311[/C][C]-1.31101[/C][/ROW]
[ROW][C]287[/C][C]5[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266670&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266670&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
17.56.371.13
22.56.46684-3.96684
365.896880.10312
46.56.355180.144817
515.6579-4.6579
615.41645-4.41645
75.55.225260.274737
88.56.806561.69344
96.56.440860.0591381
104.55.73075-1.23075
1126.22644-4.22644
1256.70654-1.70654
130.55.62242-5.12242
1455.75309-0.753087
1556.08986-1.08986
162.56.04137-3.54137
1756.14912-1.14912
185.56.13125-0.63125
193.55.65111-2.15111
2035.69469-2.69469
2145.27358-1.27358
220.56.28543-5.78543
236.55.789370.710633
244.55.66035-1.16035
257.55.865661.63434
265.56.92799-1.42799
2745.50031-1.50031
287.55.973871.52613
2976.457720.542281
3046.82356-2.82356
315.56.46336-0.963355
322.55.58108-3.08108
335.55.385230.11477
340.56.42803-5.92803
353.56.57915-3.07915
362.56.49487-3.99487
374.56.89424-2.39424
384.57.17522-2.67522
394.55.83685-1.33685
4065.815160.184836
412.56.57219-4.07219
4256.3864-1.3864
4306.58197-6.58197
4456.51128-1.51128
456.55.945460.554536
4656.86236-1.86236
4766.22899-0.228985
484.56.611-2.111
495.55.222170.277826
5015.51176-4.51176
517.54.922192.57781
5266.72576-0.725761
5356.86012-1.86012
5415.59981-4.59981
5556.53671-1.53671
566.55.594170.905828
5775.907031.09297
584.56.62293-2.12293
5906.69454-6.69454
608.55.163853.33615
613.55.78827-2.28827
627.56.341961.15804
633.56.73243-3.23243
6465.264830.735174
651.56.94366-5.44366
6696.579782.42022
673.55.38523-1.88523
683.56.8166-3.3166
6946.38061-2.38061
706.56.428660.0713442
717.57.073610.42639
7265.633850.366151
7355.772-0.772005
745.56.37282-0.872816
753.56.048-2.548
767.56.379451.12055
7716.46684-5.46684
786.55.617440.882558
79NANA0.870891
806.56.56937-0.0693725
816.55.565360.934637
8279.0824-2.0824
833.57.42092-3.92092
841.53.33624-1.83624
8541.988432.01157
867.59.34064-1.84064
874.510.3338-5.83381
8802.72921-2.72921
893.53.94049-0.440488
905.56.6296-1.1296
9157.23335-2.23335
924.58.62077-4.12077
932.50.1143652.38563
947.56.952950.547048
95712.9511-5.9511
9600.691979-0.691979
974.57.44828-2.94828
9836.7336-3.7336
991.53.14588-1.64588
1003.56.81081-3.31081
1012.53.72829-1.22829
1025.53.837821.66218
103813.3823-5.38226
10412.4166-1.4166
10557.42891-2.42891
1064.56.76473-2.26473
10735.46797-2.46797
10830.5553662.44463
109810.9694-2.96941
1102.50.769031.73097
111713.7433-6.74334
11205.13149-5.13149
11312.97775-1.97775
1143.54.37282-0.872816
1155.56.18736-0.68736
1165.510.5944-5.09438
1170.5-0.3298050.829805
1187.54.838752.66125
11996.716182.28382
1209.57.847191.65281
1218.57.019381.48062
12275.722941.27706
12384.7093.291
124109.262160.737845
12574.058182.94182
1268.55.728992.77101
12796.191722.80828
1289.511.8192-2.31919
12943.193140.806855
13063.352842.64716
13188.061-0.061002
1325.52.177023.32298
1339.58.493921.00608
1347.57.63575-0.135749
13575.328541.67146
1367.55.970311.52969
13787.219040.780963
13876.653550.346448
13977.10693-0.106928
14062.628573.37143
1411014.2795-4.27948
1422.5-0.1962192.69622
14397.570541.42946
14488.6923-0.692299
14563.611962.38804
1468.57.728030.771969
14763.511282.48872
14896.617442.38256
14985.594382.40562
15085.411622.58838
15198.938240.0617647
1525.56.15907-0.659067
15353.778011.22199
15476.891090.108913
1555.53.545541.95446
156912.5484-3.54841
15720.4182151.58179
1588.56.15012.3499
15995.814043.18596
1608.56.35732.1427
16196.970132.02987
1627.54.591312.90869
163107.299012.70099
16497.764351.23565
1657.58.22895-0.728947
16662.313153.68685
16710.58.614111.88589
1688.57.580030.91997
16984.860123.13988
170106.703623.29638
17110.510.1460.353996
1726.53.383593.11641
1739.58.36731.1327
1748.57.628360.87164
1757.58.89204-1.39204
17653.500881.49912
17784.013963.98604
1781010.1542-0.154199
17976.125750.874249
1807.56.625750.874249
1817.53.914243.58576
1829.59.480130.0198699
18361.180554.81945
184109.085150.914846
18579.75338-2.75338
18633.33335-0.333349
18764.789741.21026
18874.240272.75973
189108.758421.24158
19079.89519-2.89519
1913.52.062371.43763
19284.562373.43763
1931011.0624-1.06237
1945.56.02357-0.523568
19564.989751.01025
1966.56.38640.113596
1976.54.166412.33359
1988.510.8418-2.3418
1994-0.05770864.05771
2009.57.233152.26685
20186.508061.49194
2028.59.05496-0.554959
2035.53.818241.68176
20473.661523.33848
20596.777642.22236
20684.262163.73784
207107.901682.09832
20887.434140.565856
20964.821111.17889
21089.50912-1.50912
21152.733352.26665
21299.93891-0.938911
2134.52.313562.18644
2148.57.393071.10693
21572.611614.38839
2169.57.336592.16341
2178.57.725470.774531
2187.56.067521.43248
2197.57.75207-0.252073
22053.355661.64434
22175.14011.8599
22287.389020.610984
2235.53.204762.29524
2248.57.047011.45299
2257.54.65762.8424
2269.58.791720.708276
22775.654241.34576
22884.892523.10748
2298.510.636-2.13596
2303.53.459250.040749
2316.55.745450.754548
2326.53.09763.4024
23310.58.374472.12553
2348.56.5711.929
23584.889443.11056
236106.6113.389
237106.918913.08109
2389.55.766843.73316
23995.111963.88804
240108.969651.03035
2417.59.58955-2.08955
2424.55.26684-0.766838
2434.510.7305-6.23053
2440.5-0.3008420.800842
2456.57.62689-1.12689
2464.54.228030.271969
2475.56.27354-0.773539
24855.46965-0.469655
24967.19033-1.19033
25042.377291.62271
25184.703623.29638
25210.58.889441.61056
2538.58.305970.194027
2546.54.406662.09334
25585.397542.60246
2568.59.28237-0.782371
2575.54.018721.48128
25877.87544-0.875436
25957.0159-2.0159
2603.54.95325-1.45325
26152.960132.03987
26296.019912.98009
2638.510.0425-1.5425
26452.198682.80132
2659.513.1437-3.64368
26637.91139-4.91139
2671.51.355910.144085
268610.6127-4.61271
2690.50.1460040.353996
2706.55.737490.762513
2717.58.51104-1.01104
2724.52.877291.62271
27385.690142.30986
27498.289430.710567
2757.55.523941.97606
2768.56.480172.01983
27774.374572.62543
2789.59.87941-0.379408
2796.52.660723.83928
2809.510.1258-0.625751
28163.240632.75937
28284.88643.1136
2839.57.680071.81993
28486.645621.35438
28585.374472.62553
286910.311-1.31101
2875NANA






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.5186860.9626280.481314
110.6787210.6425590.321279
120.5448330.9103340.455167
130.7842920.4314170.215708
140.7117960.5764080.288204
150.6162810.7674390.383719
160.5755710.8488580.424429
170.4908310.9816620.509169
180.4042940.8085890.595706
190.383320.766640.61668
200.3114820.6229640.688518
210.2471150.4942310.752885
220.4294340.8588680.570566
230.456290.912580.54371
240.4023120.8046240.597688
250.3862730.7725450.613727
260.3256880.6513760.674312
270.288370.5767390.71163
280.3327990.6655980.667201
290.2952920.5905840.704708
300.30410.6081990.6959
310.2528540.5057090.747146
320.2176810.4353620.782319
330.1858760.3717510.814124
340.339430.6788590.66057
350.3079940.6159880.692006
360.346560.693120.65344
370.3012520.6025040.698748
380.2638970.5277940.736103
390.2406580.4813170.759342
400.2144760.4289520.785524
410.22230.44460.7777
420.1880190.3760390.811981
430.3079690.6159380.692031
440.266990.533980.73301
450.2549170.5098350.745083
460.220130.440260.77987
470.2008970.4017930.799103
480.1730520.3461030.826948
490.1457270.2914540.854273
500.2008150.401630.799185
510.2249250.4498490.775075
520.2062210.4124420.793779
530.1800720.3601450.819928
540.2124390.4248780.787561
550.1832940.3665890.816706
560.1777950.355590.822205
570.1935930.3871860.806407
580.1696480.3392950.830352
590.2860310.5720610.713969
600.3630240.7260480.636976
610.3324070.6648140.667593
620.3375180.6750360.662482
630.3260880.6521760.673912
640.2987590.5975180.701241
650.3338710.6677420.666129
660.3992640.7985290.600736
670.3751030.7502070.624897
680.3671330.7342650.632867
690.3435380.6870750.656462
700.3214230.6428460.678577
710.3606330.7212670.639367
720.3437420.6874850.656258
730.3090440.6180880.690956
740.2792230.5584460.720777
750.2659530.5319050.734047
760.2755090.5510180.724491
770.3682830.7365650.631717
780.3434270.6868540.656573
790.3109470.6218930.689053
800.2873390.5746780.712661
810.2754060.5508120.724594
820.2539280.5078550.746072
830.2740240.5480480.725976
840.2516480.5032950.748352
850.2505450.5010910.749455
860.2316480.4632970.768352
870.3462020.6924040.653798
880.3344730.6689460.665527
890.3039230.6078460.696077
900.2771290.5542570.722871
910.2644680.5289350.735532
920.2958290.5916580.704171
930.3378720.6757440.662128
940.3418630.6837260.658137
950.4645830.9291650.535417
960.4311810.8623630.568819
970.4311390.8622780.568861
980.4793810.9587610.520619
990.4634550.926910.536545
1000.4918330.9836650.508167
1010.4708340.9416680.529166
1020.501080.997840.49892
1030.6113940.7772120.388606
1040.5929120.8141770.407088
1050.5909530.8180950.409047
1060.6047890.7904220.395211
1070.6087630.7824740.391237
1080.6267950.746410.373205
1090.651780.696440.34822
1100.6683270.6633460.331673
1110.8497670.3004670.150233
1120.9232590.1534820.0767412
1130.9199070.1601850.0800927
1140.9131220.1737560.0868779
1150.910820.1783610.0891803
1160.9520440.09591250.0479562
1170.9589490.08210180.0410509
1180.970670.05866030.0293302
1190.978260.0434810.0217405
1200.9824580.03508340.0175417
1210.9819970.03600590.018003
1220.9826430.03471410.0173571
1230.9891270.02174610.010873
1240.9879320.02413660.0120683
1250.9904950.019010.00950498
1260.993220.01356020.00678008
1270.994970.01005920.0050296
1280.9955320.008935920.00446796
1290.9947380.01052460.00526229
1300.9950340.009932860.00496643
1310.9938770.0122460.00612302
1320.9955460.008907490.00445374
1330.9950240.009952810.00497641
1340.9943510.01129740.0056487
1350.9936120.01277570.00638785
1360.9933850.01323020.00661511
1370.9931850.01362940.00681469
1380.9915140.01697140.00848569
1390.9907390.01852110.00926057
1400.9932270.01354560.0067728
1410.9968210.006358260.00317913
1420.9971230.005753350.00287667
1430.9967350.006529020.00326451
1440.9962480.007504140.00375207
1450.9961410.007717350.00385867
1460.995410.009180830.00459041
1470.9955450.008909470.00445473
1480.9955750.008850070.00442503
1490.9956590.008681510.00434076
1500.9959080.008183850.00409193
1510.994960.01007930.00503963
1520.9938650.01227050.00613526
1530.9926720.01465610.00732803
1540.9911710.01765860.00882928
1550.9905730.0188530.0094265
1560.9941150.01177060.0058853
1570.9933280.0133450.00667248
1580.9936060.0127890.0063945
1590.994540.01091930.00545963
1600.9941880.01162470.00581233
1610.993630.01273940.00636972
1620.9942420.01151620.00575812
1630.9945650.01087030.00543513
1640.9936690.01266230.00633114
1650.9928960.01420850.00710423
1660.9948080.01038320.00519161
1670.9943390.01132290.00566146
1680.9933950.01320930.00660464
1690.9941480.01170340.00585168
1700.9950690.00986270.00493135
1710.9936520.01269510.00634755
1720.994530.01093980.00546988
1730.9931550.01368990.00684497
1740.9914890.01702110.00851055
1750.9912450.01751030.00875514
1760.9897670.02046590.0102329
1770.9928730.01425380.00712689
1780.991080.01784040.0089202
1790.9888330.02233440.0111672
1800.9861020.02779540.0138977
1810.9886570.02268660.0113433
1820.9857230.02855450.0142773
1830.9934540.01309290.00654647
1840.9918470.01630640.00815318
1850.9943760.01124810.00562403
1860.9928450.01431090.00715544
1870.9912620.01747690.00873845
1880.9909690.0180610.00903052
1890.9890360.02192740.0109637
1900.9905440.0189110.00945551
1910.9884850.02302930.0115146
1920.9898730.02025410.010127
1930.9889840.02203190.011016
1940.9878280.02434320.0121716
1950.9851390.02972290.0148614
1960.9815130.03697310.0184866
1970.9797360.04052720.0202636
1980.9857390.0285220.014261
1990.9888160.02236730.0111837
2000.9872320.02553690.0127684
2010.9842750.0314490.0157245
2020.9803270.03934580.0196729
2030.9767540.04649190.0232459
2040.9780820.04383560.0219178
2050.9755720.04885650.0244283
2060.9804910.03901840.0195092
2070.9783380.04332470.0216624
2080.9726950.05460950.0273047
2090.9663630.06727460.0336373
2100.9685490.06290130.0314507
2110.9632140.07357170.0367859
2120.9563780.08724430.0436222
2130.9502890.09942230.0497111
2140.9397040.1205920.060296
2150.9476830.1046330.0523165
2160.940550.11890.0594502
2170.9277130.1445750.0722873
2180.9164970.1670060.0835032
2190.9002050.199590.099795
2200.8899230.2201530.110077
2210.8761750.247650.123825
2220.853320.2933610.14668
2230.8418320.3163360.158168
2240.8178080.3643840.182192
2250.8169760.3660490.183024
2260.7877920.4244150.212208
2270.7579510.4840990.242049
2280.7795030.4409930.220497
2290.7941490.4117020.205851
2300.7602240.4795510.239776
2310.7253920.5492150.274608
2320.7043610.5912780.295639
2330.6807360.6385270.319264
2340.6455170.7089660.354483
2350.6381750.7236490.361825
2360.6709460.6581070.329054
2370.6654940.6690120.334506
2380.6990490.6019020.300951
2390.7765250.446950.223475
2400.7424960.5150080.257504
2410.7391120.5217760.260888
2420.7035350.5929310.296465
2430.9385730.1228550.0614274
2440.9218670.1562650.0781327
2450.9037110.1925790.0962893
2460.8803950.239210.119605
2470.8513480.2973040.148652
2480.8238220.3523550.176178
2490.7923980.4152040.207602
2500.7514740.4970510.248526
2510.7655910.4688180.234409
2520.721480.557040.27852
2530.6706250.658750.329375
2540.6531150.6937690.346885
2550.6231250.753750.376875
2560.5663260.8673480.433674
2570.5700270.8599470.429973
2580.529450.9410990.47055
2590.4682420.9364840.531758
2600.5010510.9978980.498949
2610.4420660.8841310.557934
2620.4194060.8388120.580594
2630.3564270.7128530.643573
2640.3085040.6170070.691496
2650.5791240.8417510.420876
2660.7867920.4264170.213208
2670.7375240.5249530.262476
2680.9820570.03588640.0179432
2690.9696290.06074250.0303713
2700.9678630.06427410.032137
2710.9436060.1127880.056394
2720.9156050.1687910.0843954
2730.8538710.2922590.146129
2740.7576790.4846410.242321
2750.6232040.7535920.376796
2760.4860580.9721150.513942
2770.8975330.2049340.102467

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
10 & 0.518686 & 0.962628 & 0.481314 \tabularnewline
11 & 0.678721 & 0.642559 & 0.321279 \tabularnewline
12 & 0.544833 & 0.910334 & 0.455167 \tabularnewline
13 & 0.784292 & 0.431417 & 0.215708 \tabularnewline
14 & 0.711796 & 0.576408 & 0.288204 \tabularnewline
15 & 0.616281 & 0.767439 & 0.383719 \tabularnewline
16 & 0.575571 & 0.848858 & 0.424429 \tabularnewline
17 & 0.490831 & 0.981662 & 0.509169 \tabularnewline
18 & 0.404294 & 0.808589 & 0.595706 \tabularnewline
19 & 0.38332 & 0.76664 & 0.61668 \tabularnewline
20 & 0.311482 & 0.622964 & 0.688518 \tabularnewline
21 & 0.247115 & 0.494231 & 0.752885 \tabularnewline
22 & 0.429434 & 0.858868 & 0.570566 \tabularnewline
23 & 0.45629 & 0.91258 & 0.54371 \tabularnewline
24 & 0.402312 & 0.804624 & 0.597688 \tabularnewline
25 & 0.386273 & 0.772545 & 0.613727 \tabularnewline
26 & 0.325688 & 0.651376 & 0.674312 \tabularnewline
27 & 0.28837 & 0.576739 & 0.71163 \tabularnewline
28 & 0.332799 & 0.665598 & 0.667201 \tabularnewline
29 & 0.295292 & 0.590584 & 0.704708 \tabularnewline
30 & 0.3041 & 0.608199 & 0.6959 \tabularnewline
31 & 0.252854 & 0.505709 & 0.747146 \tabularnewline
32 & 0.217681 & 0.435362 & 0.782319 \tabularnewline
33 & 0.185876 & 0.371751 & 0.814124 \tabularnewline
34 & 0.33943 & 0.678859 & 0.66057 \tabularnewline
35 & 0.307994 & 0.615988 & 0.692006 \tabularnewline
36 & 0.34656 & 0.69312 & 0.65344 \tabularnewline
37 & 0.301252 & 0.602504 & 0.698748 \tabularnewline
38 & 0.263897 & 0.527794 & 0.736103 \tabularnewline
39 & 0.240658 & 0.481317 & 0.759342 \tabularnewline
40 & 0.214476 & 0.428952 & 0.785524 \tabularnewline
41 & 0.2223 & 0.4446 & 0.7777 \tabularnewline
42 & 0.188019 & 0.376039 & 0.811981 \tabularnewline
43 & 0.307969 & 0.615938 & 0.692031 \tabularnewline
44 & 0.26699 & 0.53398 & 0.73301 \tabularnewline
45 & 0.254917 & 0.509835 & 0.745083 \tabularnewline
46 & 0.22013 & 0.44026 & 0.77987 \tabularnewline
47 & 0.200897 & 0.401793 & 0.799103 \tabularnewline
48 & 0.173052 & 0.346103 & 0.826948 \tabularnewline
49 & 0.145727 & 0.291454 & 0.854273 \tabularnewline
50 & 0.200815 & 0.40163 & 0.799185 \tabularnewline
51 & 0.224925 & 0.449849 & 0.775075 \tabularnewline
52 & 0.206221 & 0.412442 & 0.793779 \tabularnewline
53 & 0.180072 & 0.360145 & 0.819928 \tabularnewline
54 & 0.212439 & 0.424878 & 0.787561 \tabularnewline
55 & 0.183294 & 0.366589 & 0.816706 \tabularnewline
56 & 0.177795 & 0.35559 & 0.822205 \tabularnewline
57 & 0.193593 & 0.387186 & 0.806407 \tabularnewline
58 & 0.169648 & 0.339295 & 0.830352 \tabularnewline
59 & 0.286031 & 0.572061 & 0.713969 \tabularnewline
60 & 0.363024 & 0.726048 & 0.636976 \tabularnewline
61 & 0.332407 & 0.664814 & 0.667593 \tabularnewline
62 & 0.337518 & 0.675036 & 0.662482 \tabularnewline
63 & 0.326088 & 0.652176 & 0.673912 \tabularnewline
64 & 0.298759 & 0.597518 & 0.701241 \tabularnewline
65 & 0.333871 & 0.667742 & 0.666129 \tabularnewline
66 & 0.399264 & 0.798529 & 0.600736 \tabularnewline
67 & 0.375103 & 0.750207 & 0.624897 \tabularnewline
68 & 0.367133 & 0.734265 & 0.632867 \tabularnewline
69 & 0.343538 & 0.687075 & 0.656462 \tabularnewline
70 & 0.321423 & 0.642846 & 0.678577 \tabularnewline
71 & 0.360633 & 0.721267 & 0.639367 \tabularnewline
72 & 0.343742 & 0.687485 & 0.656258 \tabularnewline
73 & 0.309044 & 0.618088 & 0.690956 \tabularnewline
74 & 0.279223 & 0.558446 & 0.720777 \tabularnewline
75 & 0.265953 & 0.531905 & 0.734047 \tabularnewline
76 & 0.275509 & 0.551018 & 0.724491 \tabularnewline
77 & 0.368283 & 0.736565 & 0.631717 \tabularnewline
78 & 0.343427 & 0.686854 & 0.656573 \tabularnewline
79 & 0.310947 & 0.621893 & 0.689053 \tabularnewline
80 & 0.287339 & 0.574678 & 0.712661 \tabularnewline
81 & 0.275406 & 0.550812 & 0.724594 \tabularnewline
82 & 0.253928 & 0.507855 & 0.746072 \tabularnewline
83 & 0.274024 & 0.548048 & 0.725976 \tabularnewline
84 & 0.251648 & 0.503295 & 0.748352 \tabularnewline
85 & 0.250545 & 0.501091 & 0.749455 \tabularnewline
86 & 0.231648 & 0.463297 & 0.768352 \tabularnewline
87 & 0.346202 & 0.692404 & 0.653798 \tabularnewline
88 & 0.334473 & 0.668946 & 0.665527 \tabularnewline
89 & 0.303923 & 0.607846 & 0.696077 \tabularnewline
90 & 0.277129 & 0.554257 & 0.722871 \tabularnewline
91 & 0.264468 & 0.528935 & 0.735532 \tabularnewline
92 & 0.295829 & 0.591658 & 0.704171 \tabularnewline
93 & 0.337872 & 0.675744 & 0.662128 \tabularnewline
94 & 0.341863 & 0.683726 & 0.658137 \tabularnewline
95 & 0.464583 & 0.929165 & 0.535417 \tabularnewline
96 & 0.431181 & 0.862363 & 0.568819 \tabularnewline
97 & 0.431139 & 0.862278 & 0.568861 \tabularnewline
98 & 0.479381 & 0.958761 & 0.520619 \tabularnewline
99 & 0.463455 & 0.92691 & 0.536545 \tabularnewline
100 & 0.491833 & 0.983665 & 0.508167 \tabularnewline
101 & 0.470834 & 0.941668 & 0.529166 \tabularnewline
102 & 0.50108 & 0.99784 & 0.49892 \tabularnewline
103 & 0.611394 & 0.777212 & 0.388606 \tabularnewline
104 & 0.592912 & 0.814177 & 0.407088 \tabularnewline
105 & 0.590953 & 0.818095 & 0.409047 \tabularnewline
106 & 0.604789 & 0.790422 & 0.395211 \tabularnewline
107 & 0.608763 & 0.782474 & 0.391237 \tabularnewline
108 & 0.626795 & 0.74641 & 0.373205 \tabularnewline
109 & 0.65178 & 0.69644 & 0.34822 \tabularnewline
110 & 0.668327 & 0.663346 & 0.331673 \tabularnewline
111 & 0.849767 & 0.300467 & 0.150233 \tabularnewline
112 & 0.923259 & 0.153482 & 0.0767412 \tabularnewline
113 & 0.919907 & 0.160185 & 0.0800927 \tabularnewline
114 & 0.913122 & 0.173756 & 0.0868779 \tabularnewline
115 & 0.91082 & 0.178361 & 0.0891803 \tabularnewline
116 & 0.952044 & 0.0959125 & 0.0479562 \tabularnewline
117 & 0.958949 & 0.0821018 & 0.0410509 \tabularnewline
118 & 0.97067 & 0.0586603 & 0.0293302 \tabularnewline
119 & 0.97826 & 0.043481 & 0.0217405 \tabularnewline
120 & 0.982458 & 0.0350834 & 0.0175417 \tabularnewline
121 & 0.981997 & 0.0360059 & 0.018003 \tabularnewline
122 & 0.982643 & 0.0347141 & 0.0173571 \tabularnewline
123 & 0.989127 & 0.0217461 & 0.010873 \tabularnewline
124 & 0.987932 & 0.0241366 & 0.0120683 \tabularnewline
125 & 0.990495 & 0.01901 & 0.00950498 \tabularnewline
126 & 0.99322 & 0.0135602 & 0.00678008 \tabularnewline
127 & 0.99497 & 0.0100592 & 0.0050296 \tabularnewline
128 & 0.995532 & 0.00893592 & 0.00446796 \tabularnewline
129 & 0.994738 & 0.0105246 & 0.00526229 \tabularnewline
130 & 0.995034 & 0.00993286 & 0.00496643 \tabularnewline
131 & 0.993877 & 0.012246 & 0.00612302 \tabularnewline
132 & 0.995546 & 0.00890749 & 0.00445374 \tabularnewline
133 & 0.995024 & 0.00995281 & 0.00497641 \tabularnewline
134 & 0.994351 & 0.0112974 & 0.0056487 \tabularnewline
135 & 0.993612 & 0.0127757 & 0.00638785 \tabularnewline
136 & 0.993385 & 0.0132302 & 0.00661511 \tabularnewline
137 & 0.993185 & 0.0136294 & 0.00681469 \tabularnewline
138 & 0.991514 & 0.0169714 & 0.00848569 \tabularnewline
139 & 0.990739 & 0.0185211 & 0.00926057 \tabularnewline
140 & 0.993227 & 0.0135456 & 0.0067728 \tabularnewline
141 & 0.996821 & 0.00635826 & 0.00317913 \tabularnewline
142 & 0.997123 & 0.00575335 & 0.00287667 \tabularnewline
143 & 0.996735 & 0.00652902 & 0.00326451 \tabularnewline
144 & 0.996248 & 0.00750414 & 0.00375207 \tabularnewline
145 & 0.996141 & 0.00771735 & 0.00385867 \tabularnewline
146 & 0.99541 & 0.00918083 & 0.00459041 \tabularnewline
147 & 0.995545 & 0.00890947 & 0.00445473 \tabularnewline
148 & 0.995575 & 0.00885007 & 0.00442503 \tabularnewline
149 & 0.995659 & 0.00868151 & 0.00434076 \tabularnewline
150 & 0.995908 & 0.00818385 & 0.00409193 \tabularnewline
151 & 0.99496 & 0.0100793 & 0.00503963 \tabularnewline
152 & 0.993865 & 0.0122705 & 0.00613526 \tabularnewline
153 & 0.992672 & 0.0146561 & 0.00732803 \tabularnewline
154 & 0.991171 & 0.0176586 & 0.00882928 \tabularnewline
155 & 0.990573 & 0.018853 & 0.0094265 \tabularnewline
156 & 0.994115 & 0.0117706 & 0.0058853 \tabularnewline
157 & 0.993328 & 0.013345 & 0.00667248 \tabularnewline
158 & 0.993606 & 0.012789 & 0.0063945 \tabularnewline
159 & 0.99454 & 0.0109193 & 0.00545963 \tabularnewline
160 & 0.994188 & 0.0116247 & 0.00581233 \tabularnewline
161 & 0.99363 & 0.0127394 & 0.00636972 \tabularnewline
162 & 0.994242 & 0.0115162 & 0.00575812 \tabularnewline
163 & 0.994565 & 0.0108703 & 0.00543513 \tabularnewline
164 & 0.993669 & 0.0126623 & 0.00633114 \tabularnewline
165 & 0.992896 & 0.0142085 & 0.00710423 \tabularnewline
166 & 0.994808 & 0.0103832 & 0.00519161 \tabularnewline
167 & 0.994339 & 0.0113229 & 0.00566146 \tabularnewline
168 & 0.993395 & 0.0132093 & 0.00660464 \tabularnewline
169 & 0.994148 & 0.0117034 & 0.00585168 \tabularnewline
170 & 0.995069 & 0.0098627 & 0.00493135 \tabularnewline
171 & 0.993652 & 0.0126951 & 0.00634755 \tabularnewline
172 & 0.99453 & 0.0109398 & 0.00546988 \tabularnewline
173 & 0.993155 & 0.0136899 & 0.00684497 \tabularnewline
174 & 0.991489 & 0.0170211 & 0.00851055 \tabularnewline
175 & 0.991245 & 0.0175103 & 0.00875514 \tabularnewline
176 & 0.989767 & 0.0204659 & 0.0102329 \tabularnewline
177 & 0.992873 & 0.0142538 & 0.00712689 \tabularnewline
178 & 0.99108 & 0.0178404 & 0.0089202 \tabularnewline
179 & 0.988833 & 0.0223344 & 0.0111672 \tabularnewline
180 & 0.986102 & 0.0277954 & 0.0138977 \tabularnewline
181 & 0.988657 & 0.0226866 & 0.0113433 \tabularnewline
182 & 0.985723 & 0.0285545 & 0.0142773 \tabularnewline
183 & 0.993454 & 0.0130929 & 0.00654647 \tabularnewline
184 & 0.991847 & 0.0163064 & 0.00815318 \tabularnewline
185 & 0.994376 & 0.0112481 & 0.00562403 \tabularnewline
186 & 0.992845 & 0.0143109 & 0.00715544 \tabularnewline
187 & 0.991262 & 0.0174769 & 0.00873845 \tabularnewline
188 & 0.990969 & 0.018061 & 0.00903052 \tabularnewline
189 & 0.989036 & 0.0219274 & 0.0109637 \tabularnewline
190 & 0.990544 & 0.018911 & 0.00945551 \tabularnewline
191 & 0.988485 & 0.0230293 & 0.0115146 \tabularnewline
192 & 0.989873 & 0.0202541 & 0.010127 \tabularnewline
193 & 0.988984 & 0.0220319 & 0.011016 \tabularnewline
194 & 0.987828 & 0.0243432 & 0.0121716 \tabularnewline
195 & 0.985139 & 0.0297229 & 0.0148614 \tabularnewline
196 & 0.981513 & 0.0369731 & 0.0184866 \tabularnewline
197 & 0.979736 & 0.0405272 & 0.0202636 \tabularnewline
198 & 0.985739 & 0.028522 & 0.014261 \tabularnewline
199 & 0.988816 & 0.0223673 & 0.0111837 \tabularnewline
200 & 0.987232 & 0.0255369 & 0.0127684 \tabularnewline
201 & 0.984275 & 0.031449 & 0.0157245 \tabularnewline
202 & 0.980327 & 0.0393458 & 0.0196729 \tabularnewline
203 & 0.976754 & 0.0464919 & 0.0232459 \tabularnewline
204 & 0.978082 & 0.0438356 & 0.0219178 \tabularnewline
205 & 0.975572 & 0.0488565 & 0.0244283 \tabularnewline
206 & 0.980491 & 0.0390184 & 0.0195092 \tabularnewline
207 & 0.978338 & 0.0433247 & 0.0216624 \tabularnewline
208 & 0.972695 & 0.0546095 & 0.0273047 \tabularnewline
209 & 0.966363 & 0.0672746 & 0.0336373 \tabularnewline
210 & 0.968549 & 0.0629013 & 0.0314507 \tabularnewline
211 & 0.963214 & 0.0735717 & 0.0367859 \tabularnewline
212 & 0.956378 & 0.0872443 & 0.0436222 \tabularnewline
213 & 0.950289 & 0.0994223 & 0.0497111 \tabularnewline
214 & 0.939704 & 0.120592 & 0.060296 \tabularnewline
215 & 0.947683 & 0.104633 & 0.0523165 \tabularnewline
216 & 0.94055 & 0.1189 & 0.0594502 \tabularnewline
217 & 0.927713 & 0.144575 & 0.0722873 \tabularnewline
218 & 0.916497 & 0.167006 & 0.0835032 \tabularnewline
219 & 0.900205 & 0.19959 & 0.099795 \tabularnewline
220 & 0.889923 & 0.220153 & 0.110077 \tabularnewline
221 & 0.876175 & 0.24765 & 0.123825 \tabularnewline
222 & 0.85332 & 0.293361 & 0.14668 \tabularnewline
223 & 0.841832 & 0.316336 & 0.158168 \tabularnewline
224 & 0.817808 & 0.364384 & 0.182192 \tabularnewline
225 & 0.816976 & 0.366049 & 0.183024 \tabularnewline
226 & 0.787792 & 0.424415 & 0.212208 \tabularnewline
227 & 0.757951 & 0.484099 & 0.242049 \tabularnewline
228 & 0.779503 & 0.440993 & 0.220497 \tabularnewline
229 & 0.794149 & 0.411702 & 0.205851 \tabularnewline
230 & 0.760224 & 0.479551 & 0.239776 \tabularnewline
231 & 0.725392 & 0.549215 & 0.274608 \tabularnewline
232 & 0.704361 & 0.591278 & 0.295639 \tabularnewline
233 & 0.680736 & 0.638527 & 0.319264 \tabularnewline
234 & 0.645517 & 0.708966 & 0.354483 \tabularnewline
235 & 0.638175 & 0.723649 & 0.361825 \tabularnewline
236 & 0.670946 & 0.658107 & 0.329054 \tabularnewline
237 & 0.665494 & 0.669012 & 0.334506 \tabularnewline
238 & 0.699049 & 0.601902 & 0.300951 \tabularnewline
239 & 0.776525 & 0.44695 & 0.223475 \tabularnewline
240 & 0.742496 & 0.515008 & 0.257504 \tabularnewline
241 & 0.739112 & 0.521776 & 0.260888 \tabularnewline
242 & 0.703535 & 0.592931 & 0.296465 \tabularnewline
243 & 0.938573 & 0.122855 & 0.0614274 \tabularnewline
244 & 0.921867 & 0.156265 & 0.0781327 \tabularnewline
245 & 0.903711 & 0.192579 & 0.0962893 \tabularnewline
246 & 0.880395 & 0.23921 & 0.119605 \tabularnewline
247 & 0.851348 & 0.297304 & 0.148652 \tabularnewline
248 & 0.823822 & 0.352355 & 0.176178 \tabularnewline
249 & 0.792398 & 0.415204 & 0.207602 \tabularnewline
250 & 0.751474 & 0.497051 & 0.248526 \tabularnewline
251 & 0.765591 & 0.468818 & 0.234409 \tabularnewline
252 & 0.72148 & 0.55704 & 0.27852 \tabularnewline
253 & 0.670625 & 0.65875 & 0.329375 \tabularnewline
254 & 0.653115 & 0.693769 & 0.346885 \tabularnewline
255 & 0.623125 & 0.75375 & 0.376875 \tabularnewline
256 & 0.566326 & 0.867348 & 0.433674 \tabularnewline
257 & 0.570027 & 0.859947 & 0.429973 \tabularnewline
258 & 0.52945 & 0.941099 & 0.47055 \tabularnewline
259 & 0.468242 & 0.936484 & 0.531758 \tabularnewline
260 & 0.501051 & 0.997898 & 0.498949 \tabularnewline
261 & 0.442066 & 0.884131 & 0.557934 \tabularnewline
262 & 0.419406 & 0.838812 & 0.580594 \tabularnewline
263 & 0.356427 & 0.712853 & 0.643573 \tabularnewline
264 & 0.308504 & 0.617007 & 0.691496 \tabularnewline
265 & 0.579124 & 0.841751 & 0.420876 \tabularnewline
266 & 0.786792 & 0.426417 & 0.213208 \tabularnewline
267 & 0.737524 & 0.524953 & 0.262476 \tabularnewline
268 & 0.982057 & 0.0358864 & 0.0179432 \tabularnewline
269 & 0.969629 & 0.0607425 & 0.0303713 \tabularnewline
270 & 0.967863 & 0.0642741 & 0.032137 \tabularnewline
271 & 0.943606 & 0.112788 & 0.056394 \tabularnewline
272 & 0.915605 & 0.168791 & 0.0843954 \tabularnewline
273 & 0.853871 & 0.292259 & 0.146129 \tabularnewline
274 & 0.757679 & 0.484641 & 0.242321 \tabularnewline
275 & 0.623204 & 0.753592 & 0.376796 \tabularnewline
276 & 0.486058 & 0.972115 & 0.513942 \tabularnewline
277 & 0.897533 & 0.204934 & 0.102467 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266670&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]0.518686[/C][C]0.962628[/C][C]0.481314[/C][/ROW]
[ROW][C]11[/C][C]0.678721[/C][C]0.642559[/C][C]0.321279[/C][/ROW]
[ROW][C]12[/C][C]0.544833[/C][C]0.910334[/C][C]0.455167[/C][/ROW]
[ROW][C]13[/C][C]0.784292[/C][C]0.431417[/C][C]0.215708[/C][/ROW]
[ROW][C]14[/C][C]0.711796[/C][C]0.576408[/C][C]0.288204[/C][/ROW]
[ROW][C]15[/C][C]0.616281[/C][C]0.767439[/C][C]0.383719[/C][/ROW]
[ROW][C]16[/C][C]0.575571[/C][C]0.848858[/C][C]0.424429[/C][/ROW]
[ROW][C]17[/C][C]0.490831[/C][C]0.981662[/C][C]0.509169[/C][/ROW]
[ROW][C]18[/C][C]0.404294[/C][C]0.808589[/C][C]0.595706[/C][/ROW]
[ROW][C]19[/C][C]0.38332[/C][C]0.76664[/C][C]0.61668[/C][/ROW]
[ROW][C]20[/C][C]0.311482[/C][C]0.622964[/C][C]0.688518[/C][/ROW]
[ROW][C]21[/C][C]0.247115[/C][C]0.494231[/C][C]0.752885[/C][/ROW]
[ROW][C]22[/C][C]0.429434[/C][C]0.858868[/C][C]0.570566[/C][/ROW]
[ROW][C]23[/C][C]0.45629[/C][C]0.91258[/C][C]0.54371[/C][/ROW]
[ROW][C]24[/C][C]0.402312[/C][C]0.804624[/C][C]0.597688[/C][/ROW]
[ROW][C]25[/C][C]0.386273[/C][C]0.772545[/C][C]0.613727[/C][/ROW]
[ROW][C]26[/C][C]0.325688[/C][C]0.651376[/C][C]0.674312[/C][/ROW]
[ROW][C]27[/C][C]0.28837[/C][C]0.576739[/C][C]0.71163[/C][/ROW]
[ROW][C]28[/C][C]0.332799[/C][C]0.665598[/C][C]0.667201[/C][/ROW]
[ROW][C]29[/C][C]0.295292[/C][C]0.590584[/C][C]0.704708[/C][/ROW]
[ROW][C]30[/C][C]0.3041[/C][C]0.608199[/C][C]0.6959[/C][/ROW]
[ROW][C]31[/C][C]0.252854[/C][C]0.505709[/C][C]0.747146[/C][/ROW]
[ROW][C]32[/C][C]0.217681[/C][C]0.435362[/C][C]0.782319[/C][/ROW]
[ROW][C]33[/C][C]0.185876[/C][C]0.371751[/C][C]0.814124[/C][/ROW]
[ROW][C]34[/C][C]0.33943[/C][C]0.678859[/C][C]0.66057[/C][/ROW]
[ROW][C]35[/C][C]0.307994[/C][C]0.615988[/C][C]0.692006[/C][/ROW]
[ROW][C]36[/C][C]0.34656[/C][C]0.69312[/C][C]0.65344[/C][/ROW]
[ROW][C]37[/C][C]0.301252[/C][C]0.602504[/C][C]0.698748[/C][/ROW]
[ROW][C]38[/C][C]0.263897[/C][C]0.527794[/C][C]0.736103[/C][/ROW]
[ROW][C]39[/C][C]0.240658[/C][C]0.481317[/C][C]0.759342[/C][/ROW]
[ROW][C]40[/C][C]0.214476[/C][C]0.428952[/C][C]0.785524[/C][/ROW]
[ROW][C]41[/C][C]0.2223[/C][C]0.4446[/C][C]0.7777[/C][/ROW]
[ROW][C]42[/C][C]0.188019[/C][C]0.376039[/C][C]0.811981[/C][/ROW]
[ROW][C]43[/C][C]0.307969[/C][C]0.615938[/C][C]0.692031[/C][/ROW]
[ROW][C]44[/C][C]0.26699[/C][C]0.53398[/C][C]0.73301[/C][/ROW]
[ROW][C]45[/C][C]0.254917[/C][C]0.509835[/C][C]0.745083[/C][/ROW]
[ROW][C]46[/C][C]0.22013[/C][C]0.44026[/C][C]0.77987[/C][/ROW]
[ROW][C]47[/C][C]0.200897[/C][C]0.401793[/C][C]0.799103[/C][/ROW]
[ROW][C]48[/C][C]0.173052[/C][C]0.346103[/C][C]0.826948[/C][/ROW]
[ROW][C]49[/C][C]0.145727[/C][C]0.291454[/C][C]0.854273[/C][/ROW]
[ROW][C]50[/C][C]0.200815[/C][C]0.40163[/C][C]0.799185[/C][/ROW]
[ROW][C]51[/C][C]0.224925[/C][C]0.449849[/C][C]0.775075[/C][/ROW]
[ROW][C]52[/C][C]0.206221[/C][C]0.412442[/C][C]0.793779[/C][/ROW]
[ROW][C]53[/C][C]0.180072[/C][C]0.360145[/C][C]0.819928[/C][/ROW]
[ROW][C]54[/C][C]0.212439[/C][C]0.424878[/C][C]0.787561[/C][/ROW]
[ROW][C]55[/C][C]0.183294[/C][C]0.366589[/C][C]0.816706[/C][/ROW]
[ROW][C]56[/C][C]0.177795[/C][C]0.35559[/C][C]0.822205[/C][/ROW]
[ROW][C]57[/C][C]0.193593[/C][C]0.387186[/C][C]0.806407[/C][/ROW]
[ROW][C]58[/C][C]0.169648[/C][C]0.339295[/C][C]0.830352[/C][/ROW]
[ROW][C]59[/C][C]0.286031[/C][C]0.572061[/C][C]0.713969[/C][/ROW]
[ROW][C]60[/C][C]0.363024[/C][C]0.726048[/C][C]0.636976[/C][/ROW]
[ROW][C]61[/C][C]0.332407[/C][C]0.664814[/C][C]0.667593[/C][/ROW]
[ROW][C]62[/C][C]0.337518[/C][C]0.675036[/C][C]0.662482[/C][/ROW]
[ROW][C]63[/C][C]0.326088[/C][C]0.652176[/C][C]0.673912[/C][/ROW]
[ROW][C]64[/C][C]0.298759[/C][C]0.597518[/C][C]0.701241[/C][/ROW]
[ROW][C]65[/C][C]0.333871[/C][C]0.667742[/C][C]0.666129[/C][/ROW]
[ROW][C]66[/C][C]0.399264[/C][C]0.798529[/C][C]0.600736[/C][/ROW]
[ROW][C]67[/C][C]0.375103[/C][C]0.750207[/C][C]0.624897[/C][/ROW]
[ROW][C]68[/C][C]0.367133[/C][C]0.734265[/C][C]0.632867[/C][/ROW]
[ROW][C]69[/C][C]0.343538[/C][C]0.687075[/C][C]0.656462[/C][/ROW]
[ROW][C]70[/C][C]0.321423[/C][C]0.642846[/C][C]0.678577[/C][/ROW]
[ROW][C]71[/C][C]0.360633[/C][C]0.721267[/C][C]0.639367[/C][/ROW]
[ROW][C]72[/C][C]0.343742[/C][C]0.687485[/C][C]0.656258[/C][/ROW]
[ROW][C]73[/C][C]0.309044[/C][C]0.618088[/C][C]0.690956[/C][/ROW]
[ROW][C]74[/C][C]0.279223[/C][C]0.558446[/C][C]0.720777[/C][/ROW]
[ROW][C]75[/C][C]0.265953[/C][C]0.531905[/C][C]0.734047[/C][/ROW]
[ROW][C]76[/C][C]0.275509[/C][C]0.551018[/C][C]0.724491[/C][/ROW]
[ROW][C]77[/C][C]0.368283[/C][C]0.736565[/C][C]0.631717[/C][/ROW]
[ROW][C]78[/C][C]0.343427[/C][C]0.686854[/C][C]0.656573[/C][/ROW]
[ROW][C]79[/C][C]0.310947[/C][C]0.621893[/C][C]0.689053[/C][/ROW]
[ROW][C]80[/C][C]0.287339[/C][C]0.574678[/C][C]0.712661[/C][/ROW]
[ROW][C]81[/C][C]0.275406[/C][C]0.550812[/C][C]0.724594[/C][/ROW]
[ROW][C]82[/C][C]0.253928[/C][C]0.507855[/C][C]0.746072[/C][/ROW]
[ROW][C]83[/C][C]0.274024[/C][C]0.548048[/C][C]0.725976[/C][/ROW]
[ROW][C]84[/C][C]0.251648[/C][C]0.503295[/C][C]0.748352[/C][/ROW]
[ROW][C]85[/C][C]0.250545[/C][C]0.501091[/C][C]0.749455[/C][/ROW]
[ROW][C]86[/C][C]0.231648[/C][C]0.463297[/C][C]0.768352[/C][/ROW]
[ROW][C]87[/C][C]0.346202[/C][C]0.692404[/C][C]0.653798[/C][/ROW]
[ROW][C]88[/C][C]0.334473[/C][C]0.668946[/C][C]0.665527[/C][/ROW]
[ROW][C]89[/C][C]0.303923[/C][C]0.607846[/C][C]0.696077[/C][/ROW]
[ROW][C]90[/C][C]0.277129[/C][C]0.554257[/C][C]0.722871[/C][/ROW]
[ROW][C]91[/C][C]0.264468[/C][C]0.528935[/C][C]0.735532[/C][/ROW]
[ROW][C]92[/C][C]0.295829[/C][C]0.591658[/C][C]0.704171[/C][/ROW]
[ROW][C]93[/C][C]0.337872[/C][C]0.675744[/C][C]0.662128[/C][/ROW]
[ROW][C]94[/C][C]0.341863[/C][C]0.683726[/C][C]0.658137[/C][/ROW]
[ROW][C]95[/C][C]0.464583[/C][C]0.929165[/C][C]0.535417[/C][/ROW]
[ROW][C]96[/C][C]0.431181[/C][C]0.862363[/C][C]0.568819[/C][/ROW]
[ROW][C]97[/C][C]0.431139[/C][C]0.862278[/C][C]0.568861[/C][/ROW]
[ROW][C]98[/C][C]0.479381[/C][C]0.958761[/C][C]0.520619[/C][/ROW]
[ROW][C]99[/C][C]0.463455[/C][C]0.92691[/C][C]0.536545[/C][/ROW]
[ROW][C]100[/C][C]0.491833[/C][C]0.983665[/C][C]0.508167[/C][/ROW]
[ROW][C]101[/C][C]0.470834[/C][C]0.941668[/C][C]0.529166[/C][/ROW]
[ROW][C]102[/C][C]0.50108[/C][C]0.99784[/C][C]0.49892[/C][/ROW]
[ROW][C]103[/C][C]0.611394[/C][C]0.777212[/C][C]0.388606[/C][/ROW]
[ROW][C]104[/C][C]0.592912[/C][C]0.814177[/C][C]0.407088[/C][/ROW]
[ROW][C]105[/C][C]0.590953[/C][C]0.818095[/C][C]0.409047[/C][/ROW]
[ROW][C]106[/C][C]0.604789[/C][C]0.790422[/C][C]0.395211[/C][/ROW]
[ROW][C]107[/C][C]0.608763[/C][C]0.782474[/C][C]0.391237[/C][/ROW]
[ROW][C]108[/C][C]0.626795[/C][C]0.74641[/C][C]0.373205[/C][/ROW]
[ROW][C]109[/C][C]0.65178[/C][C]0.69644[/C][C]0.34822[/C][/ROW]
[ROW][C]110[/C][C]0.668327[/C][C]0.663346[/C][C]0.331673[/C][/ROW]
[ROW][C]111[/C][C]0.849767[/C][C]0.300467[/C][C]0.150233[/C][/ROW]
[ROW][C]112[/C][C]0.923259[/C][C]0.153482[/C][C]0.0767412[/C][/ROW]
[ROW][C]113[/C][C]0.919907[/C][C]0.160185[/C][C]0.0800927[/C][/ROW]
[ROW][C]114[/C][C]0.913122[/C][C]0.173756[/C][C]0.0868779[/C][/ROW]
[ROW][C]115[/C][C]0.91082[/C][C]0.178361[/C][C]0.0891803[/C][/ROW]
[ROW][C]116[/C][C]0.952044[/C][C]0.0959125[/C][C]0.0479562[/C][/ROW]
[ROW][C]117[/C][C]0.958949[/C][C]0.0821018[/C][C]0.0410509[/C][/ROW]
[ROW][C]118[/C][C]0.97067[/C][C]0.0586603[/C][C]0.0293302[/C][/ROW]
[ROW][C]119[/C][C]0.97826[/C][C]0.043481[/C][C]0.0217405[/C][/ROW]
[ROW][C]120[/C][C]0.982458[/C][C]0.0350834[/C][C]0.0175417[/C][/ROW]
[ROW][C]121[/C][C]0.981997[/C][C]0.0360059[/C][C]0.018003[/C][/ROW]
[ROW][C]122[/C][C]0.982643[/C][C]0.0347141[/C][C]0.0173571[/C][/ROW]
[ROW][C]123[/C][C]0.989127[/C][C]0.0217461[/C][C]0.010873[/C][/ROW]
[ROW][C]124[/C][C]0.987932[/C][C]0.0241366[/C][C]0.0120683[/C][/ROW]
[ROW][C]125[/C][C]0.990495[/C][C]0.01901[/C][C]0.00950498[/C][/ROW]
[ROW][C]126[/C][C]0.99322[/C][C]0.0135602[/C][C]0.00678008[/C][/ROW]
[ROW][C]127[/C][C]0.99497[/C][C]0.0100592[/C][C]0.0050296[/C][/ROW]
[ROW][C]128[/C][C]0.995532[/C][C]0.00893592[/C][C]0.00446796[/C][/ROW]
[ROW][C]129[/C][C]0.994738[/C][C]0.0105246[/C][C]0.00526229[/C][/ROW]
[ROW][C]130[/C][C]0.995034[/C][C]0.00993286[/C][C]0.00496643[/C][/ROW]
[ROW][C]131[/C][C]0.993877[/C][C]0.012246[/C][C]0.00612302[/C][/ROW]
[ROW][C]132[/C][C]0.995546[/C][C]0.00890749[/C][C]0.00445374[/C][/ROW]
[ROW][C]133[/C][C]0.995024[/C][C]0.00995281[/C][C]0.00497641[/C][/ROW]
[ROW][C]134[/C][C]0.994351[/C][C]0.0112974[/C][C]0.0056487[/C][/ROW]
[ROW][C]135[/C][C]0.993612[/C][C]0.0127757[/C][C]0.00638785[/C][/ROW]
[ROW][C]136[/C][C]0.993385[/C][C]0.0132302[/C][C]0.00661511[/C][/ROW]
[ROW][C]137[/C][C]0.993185[/C][C]0.0136294[/C][C]0.00681469[/C][/ROW]
[ROW][C]138[/C][C]0.991514[/C][C]0.0169714[/C][C]0.00848569[/C][/ROW]
[ROW][C]139[/C][C]0.990739[/C][C]0.0185211[/C][C]0.00926057[/C][/ROW]
[ROW][C]140[/C][C]0.993227[/C][C]0.0135456[/C][C]0.0067728[/C][/ROW]
[ROW][C]141[/C][C]0.996821[/C][C]0.00635826[/C][C]0.00317913[/C][/ROW]
[ROW][C]142[/C][C]0.997123[/C][C]0.00575335[/C][C]0.00287667[/C][/ROW]
[ROW][C]143[/C][C]0.996735[/C][C]0.00652902[/C][C]0.00326451[/C][/ROW]
[ROW][C]144[/C][C]0.996248[/C][C]0.00750414[/C][C]0.00375207[/C][/ROW]
[ROW][C]145[/C][C]0.996141[/C][C]0.00771735[/C][C]0.00385867[/C][/ROW]
[ROW][C]146[/C][C]0.99541[/C][C]0.00918083[/C][C]0.00459041[/C][/ROW]
[ROW][C]147[/C][C]0.995545[/C][C]0.00890947[/C][C]0.00445473[/C][/ROW]
[ROW][C]148[/C][C]0.995575[/C][C]0.00885007[/C][C]0.00442503[/C][/ROW]
[ROW][C]149[/C][C]0.995659[/C][C]0.00868151[/C][C]0.00434076[/C][/ROW]
[ROW][C]150[/C][C]0.995908[/C][C]0.00818385[/C][C]0.00409193[/C][/ROW]
[ROW][C]151[/C][C]0.99496[/C][C]0.0100793[/C][C]0.00503963[/C][/ROW]
[ROW][C]152[/C][C]0.993865[/C][C]0.0122705[/C][C]0.00613526[/C][/ROW]
[ROW][C]153[/C][C]0.992672[/C][C]0.0146561[/C][C]0.00732803[/C][/ROW]
[ROW][C]154[/C][C]0.991171[/C][C]0.0176586[/C][C]0.00882928[/C][/ROW]
[ROW][C]155[/C][C]0.990573[/C][C]0.018853[/C][C]0.0094265[/C][/ROW]
[ROW][C]156[/C][C]0.994115[/C][C]0.0117706[/C][C]0.0058853[/C][/ROW]
[ROW][C]157[/C][C]0.993328[/C][C]0.013345[/C][C]0.00667248[/C][/ROW]
[ROW][C]158[/C][C]0.993606[/C][C]0.012789[/C][C]0.0063945[/C][/ROW]
[ROW][C]159[/C][C]0.99454[/C][C]0.0109193[/C][C]0.00545963[/C][/ROW]
[ROW][C]160[/C][C]0.994188[/C][C]0.0116247[/C][C]0.00581233[/C][/ROW]
[ROW][C]161[/C][C]0.99363[/C][C]0.0127394[/C][C]0.00636972[/C][/ROW]
[ROW][C]162[/C][C]0.994242[/C][C]0.0115162[/C][C]0.00575812[/C][/ROW]
[ROW][C]163[/C][C]0.994565[/C][C]0.0108703[/C][C]0.00543513[/C][/ROW]
[ROW][C]164[/C][C]0.993669[/C][C]0.0126623[/C][C]0.00633114[/C][/ROW]
[ROW][C]165[/C][C]0.992896[/C][C]0.0142085[/C][C]0.00710423[/C][/ROW]
[ROW][C]166[/C][C]0.994808[/C][C]0.0103832[/C][C]0.00519161[/C][/ROW]
[ROW][C]167[/C][C]0.994339[/C][C]0.0113229[/C][C]0.00566146[/C][/ROW]
[ROW][C]168[/C][C]0.993395[/C][C]0.0132093[/C][C]0.00660464[/C][/ROW]
[ROW][C]169[/C][C]0.994148[/C][C]0.0117034[/C][C]0.00585168[/C][/ROW]
[ROW][C]170[/C][C]0.995069[/C][C]0.0098627[/C][C]0.00493135[/C][/ROW]
[ROW][C]171[/C][C]0.993652[/C][C]0.0126951[/C][C]0.00634755[/C][/ROW]
[ROW][C]172[/C][C]0.99453[/C][C]0.0109398[/C][C]0.00546988[/C][/ROW]
[ROW][C]173[/C][C]0.993155[/C][C]0.0136899[/C][C]0.00684497[/C][/ROW]
[ROW][C]174[/C][C]0.991489[/C][C]0.0170211[/C][C]0.00851055[/C][/ROW]
[ROW][C]175[/C][C]0.991245[/C][C]0.0175103[/C][C]0.00875514[/C][/ROW]
[ROW][C]176[/C][C]0.989767[/C][C]0.0204659[/C][C]0.0102329[/C][/ROW]
[ROW][C]177[/C][C]0.992873[/C][C]0.0142538[/C][C]0.00712689[/C][/ROW]
[ROW][C]178[/C][C]0.99108[/C][C]0.0178404[/C][C]0.0089202[/C][/ROW]
[ROW][C]179[/C][C]0.988833[/C][C]0.0223344[/C][C]0.0111672[/C][/ROW]
[ROW][C]180[/C][C]0.986102[/C][C]0.0277954[/C][C]0.0138977[/C][/ROW]
[ROW][C]181[/C][C]0.988657[/C][C]0.0226866[/C][C]0.0113433[/C][/ROW]
[ROW][C]182[/C][C]0.985723[/C][C]0.0285545[/C][C]0.0142773[/C][/ROW]
[ROW][C]183[/C][C]0.993454[/C][C]0.0130929[/C][C]0.00654647[/C][/ROW]
[ROW][C]184[/C][C]0.991847[/C][C]0.0163064[/C][C]0.00815318[/C][/ROW]
[ROW][C]185[/C][C]0.994376[/C][C]0.0112481[/C][C]0.00562403[/C][/ROW]
[ROW][C]186[/C][C]0.992845[/C][C]0.0143109[/C][C]0.00715544[/C][/ROW]
[ROW][C]187[/C][C]0.991262[/C][C]0.0174769[/C][C]0.00873845[/C][/ROW]
[ROW][C]188[/C][C]0.990969[/C][C]0.018061[/C][C]0.00903052[/C][/ROW]
[ROW][C]189[/C][C]0.989036[/C][C]0.0219274[/C][C]0.0109637[/C][/ROW]
[ROW][C]190[/C][C]0.990544[/C][C]0.018911[/C][C]0.00945551[/C][/ROW]
[ROW][C]191[/C][C]0.988485[/C][C]0.0230293[/C][C]0.0115146[/C][/ROW]
[ROW][C]192[/C][C]0.989873[/C][C]0.0202541[/C][C]0.010127[/C][/ROW]
[ROW][C]193[/C][C]0.988984[/C][C]0.0220319[/C][C]0.011016[/C][/ROW]
[ROW][C]194[/C][C]0.987828[/C][C]0.0243432[/C][C]0.0121716[/C][/ROW]
[ROW][C]195[/C][C]0.985139[/C][C]0.0297229[/C][C]0.0148614[/C][/ROW]
[ROW][C]196[/C][C]0.981513[/C][C]0.0369731[/C][C]0.0184866[/C][/ROW]
[ROW][C]197[/C][C]0.979736[/C][C]0.0405272[/C][C]0.0202636[/C][/ROW]
[ROW][C]198[/C][C]0.985739[/C][C]0.028522[/C][C]0.014261[/C][/ROW]
[ROW][C]199[/C][C]0.988816[/C][C]0.0223673[/C][C]0.0111837[/C][/ROW]
[ROW][C]200[/C][C]0.987232[/C][C]0.0255369[/C][C]0.0127684[/C][/ROW]
[ROW][C]201[/C][C]0.984275[/C][C]0.031449[/C][C]0.0157245[/C][/ROW]
[ROW][C]202[/C][C]0.980327[/C][C]0.0393458[/C][C]0.0196729[/C][/ROW]
[ROW][C]203[/C][C]0.976754[/C][C]0.0464919[/C][C]0.0232459[/C][/ROW]
[ROW][C]204[/C][C]0.978082[/C][C]0.0438356[/C][C]0.0219178[/C][/ROW]
[ROW][C]205[/C][C]0.975572[/C][C]0.0488565[/C][C]0.0244283[/C][/ROW]
[ROW][C]206[/C][C]0.980491[/C][C]0.0390184[/C][C]0.0195092[/C][/ROW]
[ROW][C]207[/C][C]0.978338[/C][C]0.0433247[/C][C]0.0216624[/C][/ROW]
[ROW][C]208[/C][C]0.972695[/C][C]0.0546095[/C][C]0.0273047[/C][/ROW]
[ROW][C]209[/C][C]0.966363[/C][C]0.0672746[/C][C]0.0336373[/C][/ROW]
[ROW][C]210[/C][C]0.968549[/C][C]0.0629013[/C][C]0.0314507[/C][/ROW]
[ROW][C]211[/C][C]0.963214[/C][C]0.0735717[/C][C]0.0367859[/C][/ROW]
[ROW][C]212[/C][C]0.956378[/C][C]0.0872443[/C][C]0.0436222[/C][/ROW]
[ROW][C]213[/C][C]0.950289[/C][C]0.0994223[/C][C]0.0497111[/C][/ROW]
[ROW][C]214[/C][C]0.939704[/C][C]0.120592[/C][C]0.060296[/C][/ROW]
[ROW][C]215[/C][C]0.947683[/C][C]0.104633[/C][C]0.0523165[/C][/ROW]
[ROW][C]216[/C][C]0.94055[/C][C]0.1189[/C][C]0.0594502[/C][/ROW]
[ROW][C]217[/C][C]0.927713[/C][C]0.144575[/C][C]0.0722873[/C][/ROW]
[ROW][C]218[/C][C]0.916497[/C][C]0.167006[/C][C]0.0835032[/C][/ROW]
[ROW][C]219[/C][C]0.900205[/C][C]0.19959[/C][C]0.099795[/C][/ROW]
[ROW][C]220[/C][C]0.889923[/C][C]0.220153[/C][C]0.110077[/C][/ROW]
[ROW][C]221[/C][C]0.876175[/C][C]0.24765[/C][C]0.123825[/C][/ROW]
[ROW][C]222[/C][C]0.85332[/C][C]0.293361[/C][C]0.14668[/C][/ROW]
[ROW][C]223[/C][C]0.841832[/C][C]0.316336[/C][C]0.158168[/C][/ROW]
[ROW][C]224[/C][C]0.817808[/C][C]0.364384[/C][C]0.182192[/C][/ROW]
[ROW][C]225[/C][C]0.816976[/C][C]0.366049[/C][C]0.183024[/C][/ROW]
[ROW][C]226[/C][C]0.787792[/C][C]0.424415[/C][C]0.212208[/C][/ROW]
[ROW][C]227[/C][C]0.757951[/C][C]0.484099[/C][C]0.242049[/C][/ROW]
[ROW][C]228[/C][C]0.779503[/C][C]0.440993[/C][C]0.220497[/C][/ROW]
[ROW][C]229[/C][C]0.794149[/C][C]0.411702[/C][C]0.205851[/C][/ROW]
[ROW][C]230[/C][C]0.760224[/C][C]0.479551[/C][C]0.239776[/C][/ROW]
[ROW][C]231[/C][C]0.725392[/C][C]0.549215[/C][C]0.274608[/C][/ROW]
[ROW][C]232[/C][C]0.704361[/C][C]0.591278[/C][C]0.295639[/C][/ROW]
[ROW][C]233[/C][C]0.680736[/C][C]0.638527[/C][C]0.319264[/C][/ROW]
[ROW][C]234[/C][C]0.645517[/C][C]0.708966[/C][C]0.354483[/C][/ROW]
[ROW][C]235[/C][C]0.638175[/C][C]0.723649[/C][C]0.361825[/C][/ROW]
[ROW][C]236[/C][C]0.670946[/C][C]0.658107[/C][C]0.329054[/C][/ROW]
[ROW][C]237[/C][C]0.665494[/C][C]0.669012[/C][C]0.334506[/C][/ROW]
[ROW][C]238[/C][C]0.699049[/C][C]0.601902[/C][C]0.300951[/C][/ROW]
[ROW][C]239[/C][C]0.776525[/C][C]0.44695[/C][C]0.223475[/C][/ROW]
[ROW][C]240[/C][C]0.742496[/C][C]0.515008[/C][C]0.257504[/C][/ROW]
[ROW][C]241[/C][C]0.739112[/C][C]0.521776[/C][C]0.260888[/C][/ROW]
[ROW][C]242[/C][C]0.703535[/C][C]0.592931[/C][C]0.296465[/C][/ROW]
[ROW][C]243[/C][C]0.938573[/C][C]0.122855[/C][C]0.0614274[/C][/ROW]
[ROW][C]244[/C][C]0.921867[/C][C]0.156265[/C][C]0.0781327[/C][/ROW]
[ROW][C]245[/C][C]0.903711[/C][C]0.192579[/C][C]0.0962893[/C][/ROW]
[ROW][C]246[/C][C]0.880395[/C][C]0.23921[/C][C]0.119605[/C][/ROW]
[ROW][C]247[/C][C]0.851348[/C][C]0.297304[/C][C]0.148652[/C][/ROW]
[ROW][C]248[/C][C]0.823822[/C][C]0.352355[/C][C]0.176178[/C][/ROW]
[ROW][C]249[/C][C]0.792398[/C][C]0.415204[/C][C]0.207602[/C][/ROW]
[ROW][C]250[/C][C]0.751474[/C][C]0.497051[/C][C]0.248526[/C][/ROW]
[ROW][C]251[/C][C]0.765591[/C][C]0.468818[/C][C]0.234409[/C][/ROW]
[ROW][C]252[/C][C]0.72148[/C][C]0.55704[/C][C]0.27852[/C][/ROW]
[ROW][C]253[/C][C]0.670625[/C][C]0.65875[/C][C]0.329375[/C][/ROW]
[ROW][C]254[/C][C]0.653115[/C][C]0.693769[/C][C]0.346885[/C][/ROW]
[ROW][C]255[/C][C]0.623125[/C][C]0.75375[/C][C]0.376875[/C][/ROW]
[ROW][C]256[/C][C]0.566326[/C][C]0.867348[/C][C]0.433674[/C][/ROW]
[ROW][C]257[/C][C]0.570027[/C][C]0.859947[/C][C]0.429973[/C][/ROW]
[ROW][C]258[/C][C]0.52945[/C][C]0.941099[/C][C]0.47055[/C][/ROW]
[ROW][C]259[/C][C]0.468242[/C][C]0.936484[/C][C]0.531758[/C][/ROW]
[ROW][C]260[/C][C]0.501051[/C][C]0.997898[/C][C]0.498949[/C][/ROW]
[ROW][C]261[/C][C]0.442066[/C][C]0.884131[/C][C]0.557934[/C][/ROW]
[ROW][C]262[/C][C]0.419406[/C][C]0.838812[/C][C]0.580594[/C][/ROW]
[ROW][C]263[/C][C]0.356427[/C][C]0.712853[/C][C]0.643573[/C][/ROW]
[ROW][C]264[/C][C]0.308504[/C][C]0.617007[/C][C]0.691496[/C][/ROW]
[ROW][C]265[/C][C]0.579124[/C][C]0.841751[/C][C]0.420876[/C][/ROW]
[ROW][C]266[/C][C]0.786792[/C][C]0.426417[/C][C]0.213208[/C][/ROW]
[ROW][C]267[/C][C]0.737524[/C][C]0.524953[/C][C]0.262476[/C][/ROW]
[ROW][C]268[/C][C]0.982057[/C][C]0.0358864[/C][C]0.0179432[/C][/ROW]
[ROW][C]269[/C][C]0.969629[/C][C]0.0607425[/C][C]0.0303713[/C][/ROW]
[ROW][C]270[/C][C]0.967863[/C][C]0.0642741[/C][C]0.032137[/C][/ROW]
[ROW][C]271[/C][C]0.943606[/C][C]0.112788[/C][C]0.056394[/C][/ROW]
[ROW][C]272[/C][C]0.915605[/C][C]0.168791[/C][C]0.0843954[/C][/ROW]
[ROW][C]273[/C][C]0.853871[/C][C]0.292259[/C][C]0.146129[/C][/ROW]
[ROW][C]274[/C][C]0.757679[/C][C]0.484641[/C][C]0.242321[/C][/ROW]
[ROW][C]275[/C][C]0.623204[/C][C]0.753592[/C][C]0.376796[/C][/ROW]
[ROW][C]276[/C][C]0.486058[/C][C]0.972115[/C][C]0.513942[/C][/ROW]
[ROW][C]277[/C][C]0.897533[/C][C]0.204934[/C][C]0.102467[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266670&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266670&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
100.5186860.9626280.481314
110.6787210.6425590.321279
120.5448330.9103340.455167
130.7842920.4314170.215708
140.7117960.5764080.288204
150.6162810.7674390.383719
160.5755710.8488580.424429
170.4908310.9816620.509169
180.4042940.8085890.595706
190.383320.766640.61668
200.3114820.6229640.688518
210.2471150.4942310.752885
220.4294340.8588680.570566
230.456290.912580.54371
240.4023120.8046240.597688
250.3862730.7725450.613727
260.3256880.6513760.674312
270.288370.5767390.71163
280.3327990.6655980.667201
290.2952920.5905840.704708
300.30410.6081990.6959
310.2528540.5057090.747146
320.2176810.4353620.782319
330.1858760.3717510.814124
340.339430.6788590.66057
350.3079940.6159880.692006
360.346560.693120.65344
370.3012520.6025040.698748
380.2638970.5277940.736103
390.2406580.4813170.759342
400.2144760.4289520.785524
410.22230.44460.7777
420.1880190.3760390.811981
430.3079690.6159380.692031
440.266990.533980.73301
450.2549170.5098350.745083
460.220130.440260.77987
470.2008970.4017930.799103
480.1730520.3461030.826948
490.1457270.2914540.854273
500.2008150.401630.799185
510.2249250.4498490.775075
520.2062210.4124420.793779
530.1800720.3601450.819928
540.2124390.4248780.787561
550.1832940.3665890.816706
560.1777950.355590.822205
570.1935930.3871860.806407
580.1696480.3392950.830352
590.2860310.5720610.713969
600.3630240.7260480.636976
610.3324070.6648140.667593
620.3375180.6750360.662482
630.3260880.6521760.673912
640.2987590.5975180.701241
650.3338710.6677420.666129
660.3992640.7985290.600736
670.3751030.7502070.624897
680.3671330.7342650.632867
690.3435380.6870750.656462
700.3214230.6428460.678577
710.3606330.7212670.639367
720.3437420.6874850.656258
730.3090440.6180880.690956
740.2792230.5584460.720777
750.2659530.5319050.734047
760.2755090.5510180.724491
770.3682830.7365650.631717
780.3434270.6868540.656573
790.3109470.6218930.689053
800.2873390.5746780.712661
810.2754060.5508120.724594
820.2539280.5078550.746072
830.2740240.5480480.725976
840.2516480.5032950.748352
850.2505450.5010910.749455
860.2316480.4632970.768352
870.3462020.6924040.653798
880.3344730.6689460.665527
890.3039230.6078460.696077
900.2771290.5542570.722871
910.2644680.5289350.735532
920.2958290.5916580.704171
930.3378720.6757440.662128
940.3418630.6837260.658137
950.4645830.9291650.535417
960.4311810.8623630.568819
970.4311390.8622780.568861
980.4793810.9587610.520619
990.4634550.926910.536545
1000.4918330.9836650.508167
1010.4708340.9416680.529166
1020.501080.997840.49892
1030.6113940.7772120.388606
1040.5929120.8141770.407088
1050.5909530.8180950.409047
1060.6047890.7904220.395211
1070.6087630.7824740.391237
1080.6267950.746410.373205
1090.651780.696440.34822
1100.6683270.6633460.331673
1110.8497670.3004670.150233
1120.9232590.1534820.0767412
1130.9199070.1601850.0800927
1140.9131220.1737560.0868779
1150.910820.1783610.0891803
1160.9520440.09591250.0479562
1170.9589490.08210180.0410509
1180.970670.05866030.0293302
1190.978260.0434810.0217405
1200.9824580.03508340.0175417
1210.9819970.03600590.018003
1220.9826430.03471410.0173571
1230.9891270.02174610.010873
1240.9879320.02413660.0120683
1250.9904950.019010.00950498
1260.993220.01356020.00678008
1270.994970.01005920.0050296
1280.9955320.008935920.00446796
1290.9947380.01052460.00526229
1300.9950340.009932860.00496643
1310.9938770.0122460.00612302
1320.9955460.008907490.00445374
1330.9950240.009952810.00497641
1340.9943510.01129740.0056487
1350.9936120.01277570.00638785
1360.9933850.01323020.00661511
1370.9931850.01362940.00681469
1380.9915140.01697140.00848569
1390.9907390.01852110.00926057
1400.9932270.01354560.0067728
1410.9968210.006358260.00317913
1420.9971230.005753350.00287667
1430.9967350.006529020.00326451
1440.9962480.007504140.00375207
1450.9961410.007717350.00385867
1460.995410.009180830.00459041
1470.9955450.008909470.00445473
1480.9955750.008850070.00442503
1490.9956590.008681510.00434076
1500.9959080.008183850.00409193
1510.994960.01007930.00503963
1520.9938650.01227050.00613526
1530.9926720.01465610.00732803
1540.9911710.01765860.00882928
1550.9905730.0188530.0094265
1560.9941150.01177060.0058853
1570.9933280.0133450.00667248
1580.9936060.0127890.0063945
1590.994540.01091930.00545963
1600.9941880.01162470.00581233
1610.993630.01273940.00636972
1620.9942420.01151620.00575812
1630.9945650.01087030.00543513
1640.9936690.01266230.00633114
1650.9928960.01420850.00710423
1660.9948080.01038320.00519161
1670.9943390.01132290.00566146
1680.9933950.01320930.00660464
1690.9941480.01170340.00585168
1700.9950690.00986270.00493135
1710.9936520.01269510.00634755
1720.994530.01093980.00546988
1730.9931550.01368990.00684497
1740.9914890.01702110.00851055
1750.9912450.01751030.00875514
1760.9897670.02046590.0102329
1770.9928730.01425380.00712689
1780.991080.01784040.0089202
1790.9888330.02233440.0111672
1800.9861020.02779540.0138977
1810.9886570.02268660.0113433
1820.9857230.02855450.0142773
1830.9934540.01309290.00654647
1840.9918470.01630640.00815318
1850.9943760.01124810.00562403
1860.9928450.01431090.00715544
1870.9912620.01747690.00873845
1880.9909690.0180610.00903052
1890.9890360.02192740.0109637
1900.9905440.0189110.00945551
1910.9884850.02302930.0115146
1920.9898730.02025410.010127
1930.9889840.02203190.011016
1940.9878280.02434320.0121716
1950.9851390.02972290.0148614
1960.9815130.03697310.0184866
1970.9797360.04052720.0202636
1980.9857390.0285220.014261
1990.9888160.02236730.0111837
2000.9872320.02553690.0127684
2010.9842750.0314490.0157245
2020.9803270.03934580.0196729
2030.9767540.04649190.0232459
2040.9780820.04383560.0219178
2050.9755720.04885650.0244283
2060.9804910.03901840.0195092
2070.9783380.04332470.0216624
2080.9726950.05460950.0273047
2090.9663630.06727460.0336373
2100.9685490.06290130.0314507
2110.9632140.07357170.0367859
2120.9563780.08724430.0436222
2130.9502890.09942230.0497111
2140.9397040.1205920.060296
2150.9476830.1046330.0523165
2160.940550.11890.0594502
2170.9277130.1445750.0722873
2180.9164970.1670060.0835032
2190.9002050.199590.099795
2200.8899230.2201530.110077
2210.8761750.247650.123825
2220.853320.2933610.14668
2230.8418320.3163360.158168
2240.8178080.3643840.182192
2250.8169760.3660490.183024
2260.7877920.4244150.212208
2270.7579510.4840990.242049
2280.7795030.4409930.220497
2290.7941490.4117020.205851
2300.7602240.4795510.239776
2310.7253920.5492150.274608
2320.7043610.5912780.295639
2330.6807360.6385270.319264
2340.6455170.7089660.354483
2350.6381750.7236490.361825
2360.6709460.6581070.329054
2370.6654940.6690120.334506
2380.6990490.6019020.300951
2390.7765250.446950.223475
2400.7424960.5150080.257504
2410.7391120.5217760.260888
2420.7035350.5929310.296465
2430.9385730.1228550.0614274
2440.9218670.1562650.0781327
2450.9037110.1925790.0962893
2460.8803950.239210.119605
2470.8513480.2973040.148652
2480.8238220.3523550.176178
2490.7923980.4152040.207602
2500.7514740.4970510.248526
2510.7655910.4688180.234409
2520.721480.557040.27852
2530.6706250.658750.329375
2540.6531150.6937690.346885
2550.6231250.753750.376875
2560.5663260.8673480.433674
2570.5700270.8599470.429973
2580.529450.9410990.47055
2590.4682420.9364840.531758
2600.5010510.9978980.498949
2610.4420660.8841310.557934
2620.4194060.8388120.580594
2630.3564270.7128530.643573
2640.3085040.6170070.691496
2650.5791240.8417510.420876
2660.7867920.4264170.213208
2670.7375240.5249530.262476
2680.9820570.03588640.0179432
2690.9696290.06074250.0303713
2700.9678630.06427410.032137
2710.9436060.1127880.056394
2720.9156050.1687910.0843954
2730.8538710.2922590.146129
2740.7576790.4846410.242321
2750.6232040.7535920.376796
2760.4860580.9721150.513942
2770.8975330.2049340.102467






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level150.0559701NOK
5% type I error level900.335821NOK
10% type I error level1010.376866NOK

\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 & 15 & 0.0559701 & NOK \tabularnewline
5% type I error level & 90 & 0.335821 & NOK \tabularnewline
10% type I error level & 101 & 0.376866 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266670&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]15[/C][C]0.0559701[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]90[/C][C]0.335821[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]101[/C][C]0.376866[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266670&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266670&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 level150.0559701NOK
5% type I error level900.335821NOK
10% type I error level1010.376866NOK


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):
Parameters (R input):
par1 = 7 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
R code (references can be found in the software module):
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, signif(mysum$coefficients[i,1],6), 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,signif(mysum$coefficients[i,1],6))
a<-table.element(a, signif(mysum$coefficients[i,2],6))
a<-table.element(a, signif(mysum$coefficients[i,3],4))
a<-table.element(a, signif(mysum$coefficients[i,4],6))
a<-table.element(a, signif(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, signif(sqrt(mysum$r.squared),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, signif(mysum$r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, signif(mysum$adj.r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[1],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[2],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[3],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6))
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, signif(mysum$sigma,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, signif(sum(myerror*myerror),6))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,signif(x[i],6))
a<-table.element(a,signif(x[i]-mysum$resid[i],6))
a<-table.element(a,signif(mysum$resid[i],6))
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,signif(gqarr[mypoint-kp3+1,1],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,2],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,3],6))
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,signif(numsignificant1,6))
a<-table.element(a,signif(numsignificant1/numgqtests,6))
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,signif(numsignificant5,6))
a<-table.element(a,signif(numsignificant5/numgqtests,6))
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,signif(numsignificant10,6))
a<-table.element(a,signif(numsignificant10/numgqtests,6))
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')
}