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Author's title

Author

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R Software Module

rwasp_multipleregression.wasp

Title produced by software

Multiple Regression

Date of computation

Wed, 10 Dec 2014 19:53:13 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/10/t14182412075xlkf5ukcb3i6rv.htm/, Retrieved Sun, 19 May 2024 16:32:09 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265608, Retrieved Sun, 19 May 2024 16:32:09 +0000

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No (this computation is public)

User-defined keywords

Estimated Impact

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] [ec71b09431fe59ba6fc828a3f51756a9] [Current]
-   PD    [Multiple Regression] [] [2014-12-12 13:12:29] [02fb6cbf799bcf1e525e4e01c2f27ada] 
-   PD    [Multiple Regression] [] [2014-12-12 13:27:18] [02fb6cbf799bcf1e525e4e01c2f27ada] 
-   PD    [Multiple Regression] [] [2014-12-12 13:29:55] [02fb6cbf799bcf1e525e4e01c2f27ada] 
-   PD    [Multiple Regression] [] [2014-12-12 13:32:26] [02fb6cbf799bcf1e525e4e01c2f27ada] 

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Dataseries X:

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12.9 1.00 0.50 0.67 0.67 0.00 0.50
7.4 1.00 0.60 1.00 0.67 0.50 1.00
12.2 0.89 0.50 0.83 0.33 0.50 1.00
12.8 0.89 0.40 1.00 0.67 0.00 1.00
7.4 0.89 0.50 0.83 0.00 0.00 0.00
6.7 0.89 0.70 0.67 0.00 1.00 1.00
12.6 0.78 0.30 0.00 0.00 0.50 0.50
14.8 0.89 0.40 0.83 0.67 0.50 0.00
13.3 1.00 0.40 0.50 0.67 1.00 1.00
11.1 0.89 0.70 0.83 0.00 0.50 0.00
8.2 0.78 0.60 0.33 0.67 0.50 0.50
11.4 1.00 0.60 0.50 1.00 0.00 0.50
6.4 0.78 0.20 0.67 0.00 0.50 0.50
10.6 0.89 0.40 1.00 0.00 0.50 0.50
12.0 0.89 0.40 0.50 0.67 0.00 1.00
6.3 0.89 0.50 0.67 0.33 0.00 0.00
11.3 0.89 0.30 0.17 0.67 0.00 0.50
11.9 0.89 0.40 0.83 0.33 0.50 0.50
9.3 0.67 0.70 0.67 0.33 0.50 1.00
9.6 1.00 0.50 0.67 0.33 0.00 1.00
10.0 0.78 0.20 0.67 0.00 0.00 1.00
6.4 0.78 0.30 0.50 0.67 0.00 0.50
13.8 0.89 0.60 1.00 0.33 0.00 1.00
10.8 0.78 0.60 0.83 0.33 0.00 1.00
13.8 0.89 0.20 0.83 0.33 0.00 1.00
11.7 0.89 0.70 1.00 0.67 1.00 0.00
10.9 0.33 0.20 0.67 0.00 0.00 0.00
16.1 1.00 1.00 1.00 0.33 1.00 1.00
13.4 0.89 0.40 0.83 0.67 0.00 0.50
9.9 0.89 0.40 1.00 1.00 0.00 1.00
11.5 0.67 0.20 0.83 0.67 0.00 0.50
8.3 0.56 0.40 0.67 0.33 0.00 1.00
11.7 0.89 0.40 0.67 0.00 0.50 1.00
6.1 0.89 0.60 1.00 0.67 0.50 1.00
9.0 0.89 0.70 1.00 0.67 0.50 0.50
9.7 1.00 0.20 0.67 0.67 0.00 0.50
10.8 0.78 0.60 1.00 1.00 0.00 0.50
10.3 0.78 0.30 1.00 1.00 0.50 0.50
10.4 0.33 0.30 0.50 0.33 0.00 0.00
12.7 0.78 0.20 0.67 0.00 0.50 0.00
9.3 0.89 0.50 0.83 0.67 0.50 0.50
11.8 0.89 0.70 1.00 0.67 0.50 1.00
5.9 0.78 0.60 1.00 0.67 0.50 0.50
11.4 0.89 0.40 1.00 0.67 0.50 1.00
13.0 0.89 0.60 1.00 0.33 0.50 1.00
10.8 1.00 0.40 1.00 1.00 0.00 1.00
12.3 0.67 0.30 0.83 0.67 0.00 1.00
11.3 1.00 0.50 0.83 0.67 0.50 0.50
11.8 0.89 0.20 0.50 0.00 0.00 1.00
7.9 0.89 0.30 0.83 0.00 0.50 1.00
12.7 0.89 0.50 0.17 0.00 0.00 1.00
12.3 0.78 0.70 0.83 1.00 0.50 1.00
11.6 0.89 0.40 1.00 0.67 1.00 0.50
6.7 0.78 0.30 1.00 0.00 0.00 0.50
10.9 0.78 0.20 0.67 0.67 1.00 1.00
12.1 1.00 0.50 1.00 0.00 0.00 0.50
13.3 0.78 0.40 1.00 0.00 0.50 0.00
10.1 1.00 0.60 1.00 0.67 1.00 1.00
5.7 0.78 0.40 0.83 1.00 0.00 1.00
14.3 0.67 0.40 0.33 0.00 0.00 0.50
8.0 0.33 0.20 0.33 0.33 0.00 0.00
13.3 1.00 0.90 1.00 0.67 0.50 1.00
9.3 1.00 0.80 1.00 0.67 1.00 0.50
12.5 0.78 0.80 0.83 0.00 0.50 1.00
7.6 0.67 0.30 1.00 1.00 0.50 1.00
15.9 1.00 0.20 0.83 0.67 0.00 0.50
9.2 0.89 0.40 0.67 0.00 0.50 1.00
9.1 0.89 0.20 0.83 1.00 0.00 1.00
11.1 0.78 0.20 0.67 0.67 0.50 1.00
13.0 1.00 0.10 0.83 0.67 0.00 1.00
14.5 0.56 0.40 0.67 1.00 0.50 0.00
12.2 0.67 0.50 1.00 0.00 0.50 0.50
12.3 0.89 0.80 0.83 0.33 0.50 1.00
11.4 0.89 0.40 0.67 0.67 0.00 0.50
8.8 0.89 0.60 0.83 0.33 0.50 0.50
14.6 0.89 0.50 0.83 0.67 0.50 1.00
7.3 1.00 0.60 1.00 0.67 0.50 1.00
12.6 0.78 0.30 0.67 0.00 0.00 0.00
NA 0.89 0.80 1.00 1.00 0.50 1.00
13.0 1.00 0.40 0.33 0.00 0.50 0.00
12.6 1.00 0.60 0.83 0.67 0.50 0.50
13.2 0.89 0.40 1.00 0.33 0.00 0.50
9.9 0.44 0.30 0.83 0.00 0.00 0.00
7.7 0.78 0.80 0.83 0.00 1.00 1.00
10.5 0.89 0.60 0.50 0.33 1.00 1.00
13.4 0.67 0.30 0.50 0.00 0.00 0.00
10.9 0.78 0.50 0.83 0.67 0.50 1.00
4.3 0.78 0.40 1.00 0.33 0.00 1.00
10.3 0.33 0.30 0.33 0.67 0.00 0.00
11.8 0.89 0.70 1.00 0.33 0.00 0.50
11.2 0.89 0.20 0.67 0.33 0.50 0.50
11.4 0.89 0.40 0.83 1.00 0.00 1.00
8.6 0.89 0.60 1.00 0.67 0.50 0.50
13.2 0.56 0.60 0.83 0.00 0.00 1.00
12.6 0.67 0.60 0.83 0.67 0.50 0.50
5.6 0.67 0.40 1.00 0.33 0.50 1.00
9.9 0.78 0.60 0.83 0.00 0.00 1.00
8.8 0.78 0.50 1.00 0.33 0.50 1.00
7.7 0.78 0.50 0.83 0.00 0.00 1.00
9.0 0.89 0.60 0.67 0.00 0.00 1.00
7.3 1.00 0.80 0.83 0.33 0.50 1.00
11.4 0.89 0.50 0.83 0.67 1.00 0.50
13.6 0.89 0.60 0.83 0.67 0.50 1.00
7.9 0.78 0.40 0.83 0.67 0.50 1.00
10.7 1.00 0.30 0.67 0.67 0.50 1.00
10.3 0.78 0.30 0.83 1.00 0.00 0.50
8.3 0.67 0.20 0.00 0.00 0.00 0.00
9.6 0.78 0.40 0.83 0.00 0.00 0.50
14.2 0.89 0.50 1.00 0.00 0.00 0.50
8.5 0.67 0.30 0.17 0.00 0.50 0.00
13.5 0.22 0.40 0.17 0.00 0.50 0.00
4.9 0.44 0.50 0.50 1.00 0.00 0.00
6.4 0.89 0.30 0.50 0.67 0.00 1.00
9.6 0.67 0.50 1.00 0.00 0.00 0.50
11.6 0.89 0.40 0.67 0.67 0.00 0.50
11.1 0.67 0.40 0.83 0.67 0.00 1.00
4.35 0.78 0.60 1.00 0.00 1.00 1.00
12.7 0.78 0.30 1.00 0.67 1.00 1.00
18.1 0.78 0.40 1.00 0.33 1.00 0.50
17.85 1.00 0.30 1.00 1.00 1.00 1.00
16.6 0.78 1.00 1.00 1.00 1.00 1.00
12.6 0.67 0.40 1.00 0.00 0.00 0.50
17.1 0.89 0.80 0.83 1.00 0.50 1.00
19.1 0.89 0.30 1.00 0.67 1.00 1.00
16.1 1.00 0.50 0.83 0.67 0.00 1.00
13.35 0.78 0.40 1.00 0.00 0.00 0.50
18.4 0.67 0.30 0.83 0.67 0.00 1.00
14.7 0.89 0.50 0.83 1.00 0.00 1.00
10.6 0.67 0.30 1.00 0.67 0.00 1.00
12.6 0.67 0.30 0.67 0.00 0.00 1.00
16.2 1.00 0.40 0.83 0.00 0.00 1.00
13.6 0.67 0.30 1.00 0.00 0.00 0.50
18.9 1.00 0.60 1.00 0.33 0.50 0.50
14.1 0.89 0.60 0.83 0.67 1.00 1.00
14.5 0.89 0.40 1.00 1.00 1.00 1.00
16.15 1.00 0.40 1.00 0.00 0.00 0.00
14.75 0.67 0.40 1.00 0.67 0.00 0.50
14.8 0.44 0.30 0.67 0.67 0.50 1.00
12.45 0.89 0.20 1.00 0.33 1.00 0.00
12.65 0.56 0.50 0.83 0.67 0.00 1.00
17.35 0.78 0.40 1.00 0.67 1.00 1.00
8.6 1.00 0.40 1.00 0.67 0.00 0.00
18.4 1.00 0.40 0.83 0.67 0.00 1.00
16.1 0.89 0.30 0.67 0.67 0.50 0.50
11.6 0.67 0.40 0.83 0.67 1.00 0.50
17.75 0.89 0.20 1.00 0.33 0.50 1.00
15.25 0.33 0.00 0.00 0.00 0.00 0.00
17.65 0.89 0.40 1.00 0.67 0.50 1.00
15.6 0.78 0.30 0.67 0.00 0.00 0.00
16.35 0.78 0.60 1.00 0.00 1.00 1.00
17.65 1.00 0.40 0.67 0.67 0.00 0.50
13.6 0.44 0.40 1.00 0.00 0.00 0.50
11.7 0.78 0.20 0.67 0.00 0.00 0.00
14.35 0.67 0.40 0.83 0.00 0.50 0.00
14.75 0.33 0.20 0.17 0.00 0.50 0.00
18.25 0.89 0.40 0.83 1.00 1.00 1.00
9.9 0.89 0.30 0.83 0.00 0.00 0.50
16 1.00 0.60 0.83 0.67 1.00 0.00
18.25 0.89 0.60 0.83 1.00 0.00 1.00
16.85 0.89 0.40 0.83 0.00 0.00 1.00
14.6 1.00 0.50 1.00 0.67 1.00 0.50
13.85 0.89 0.40 0.83 0.00 0.50 1.00
18.95 1.00 0.60 1.00 1.00 1.00 1.00
15.6 0.78 0.60 0.83 0.67 0.50 1.00
14.85 0.78 0.90 1.00 0.67 0.50 1.00
11.75 0.67 0.40 0.83 0.67 0.50 0.00
18.45 0.89 0.80 1.00 1.00 0.50 1.00
15.9 0.67 0.50 0.83 1.00 0.00 1.00
17.1 0.78 0.40 0.83 1.00 0.00 0.00
16.1 0.89 0.40 1.00 0.67 1.00 0.50
19.9 0.89 0.70 1.00 1.00 1.00 0.50
10.95 0.78 0.40 1.00 0.33 1.00 1.00
18.45 1.00 0.80 1.00 0.67 0.50 1.00
15.1 1.00 0.40 1.00 1.00 1.00 0.50
15 1.00 0.30 1.00 0.67 0.00 0.50
11.35 0.67 0.50 1.00 0.67 0.50 1.00
15.95 0.89 0.80 1.00 0.67 1.00 1.00
18.1 1.00 0.40 0.83 0.33 0.00 0.50
14.6 1.00 1.00 1.00 1.00 0.50 0.00
15.4 0.89 0.50 1.00 0.67 1.00 1.00
15.4 0.89 0.50 1.00 0.67 1.00 1.00
17.6 0.89 0.30 1.00 0.33 0.00 1.00
13.35 0.89 0.30 0.83 0.33 0.50 1.00
19.1 0.89 0.30 0.50 0.00 0.00 1.00
15.35 1.00 0.40 0.67 0.33 0.50 0.50
7.6 0.67 0.50 1.00 0.33 0.00 1.00
13.4 1.00 0.50 0.67 0.67 0.50 1.00
13.9 0.89 0.40 1.00 0.00 0.00 0.00
19.1 0.89 0.70 1.00 1.00 0.50 0.00
15.25 0.89 0.50 0.50 0.33 0.00 0.50
12.9 0.89 0.40 0.67 0.33 1.00 0.00
16.1 1.00 0.70 0.67 1.00 0.00 1.00
17.35 1.00 0.70 0.67 1.00 0.00 1.00
13.15 1.00 0.70 0.67 1.00 0.00 1.00
12.15 0.89 0.70 0.67 1.00 0.00 1.00
12.6 0.89 0.70 0.67 0.00 0.00 0.00
10.35 0.89 0.70 1.00 0.67 0.50 1.00
15.4 0.33 0.10 0.67 0.33 0.50 0.00
9.6 0.67 0.20 0.67 0.67 0.50 1.00
18.2 0.56 0.30 0.33 0.33 0.00 1.00
13.6 0.44 0.60 0.83 0.33 0.00 0.50
14.85 1.00 0.80 1.00 1.00 1.00 1.00
14.75 0.89 0.80 1.00 0.33 0.50 0.50
14.1 0.33 0.00 0.17 0.00 0.00 0.00
14.9 0.67 0.30 0.67 0.33 0.00 1.00
16.25 0.67 0.60 0.83 0.33 0.50 1.00
19.25 1.00 0.50 0.83 0.67 0.00 1.00
13.6 0.78 0.70 1.00 0.33 0.00 0.50
13.6 0.67 0.30 0.83 0.00 0.50 1.00
15.65 1.00 0.30 1.00 0.67 0.00 0.00
12.75 0.78 0.40 1.00 0.67 0.00 0.50
14.6 0.89 0.40 0.83 1.00 0.00 1.00
9.85 0.89 0.10 0.83 0.00 0.00 1.00
12.65 0.89 0.50 1.00 0.67 0.00 1.00
11.9 0.78 0.30 0.67 0.33 0.00 0.50
19.2 0.00 0.00 0.00 0.00 0.00 0.00
16.6 0.67 0.40 1.00 0.33 0.50 0.00
11.2 1.00 0.60 0.83 0.67 1.00 0.50
15.25 1.00 0.40 1.00 0.33 0.50 1.00
11.9 0.67 0.10 0.33 0.00 0.50 1.00
13.2 0.89 0.30 0.83 0.00 0.00 1.00
16.35 0.89 0.70 0.83 0.67 0.00 1.00
12.4 0.56 0.30 0.17 0.00 0.00 1.00
15.85 0.67 0.50 0.83 0.33 0.50 0.00
14.35 0.67 0.30 0.67 0.33 0.00 0.00
18.15 1.00 0.30 0.83 0.67 1.00 1.00
11.15 1.00 0.60 0.67 0.67 0.50 1.00
15.65 1.00 0.90 1.00 1.00 0.00 1.00
17.75 0.67 0.40 0.83 0.00 0.50 1.00
7.65 0.44 0.30 1.00 0.00 0.50 0.50
12.35 0.89 0.90 1.00 0.67 1.00 1.00
15.6 0.44 0.50 1.00 0.00 0.50 0.00
19.3 0.56 0.30 1.00 1.00 0.50 0.50
15.2 0.89 0.60 0.83 0.67 0.00 0.50
17.1 0.67 0.20 1.00 0.33 0.00 0.50
15.6 0.89 0.40 0.83 1.00 0.50 1.00
18.4 1.00 0.50 0.83 0.67 0.50 0.50
19.05 0.78 0.40 0.83 0.67 0.00 0.50
18.55 0.44 0.00 0.00 0.00 0.00 0.00
19.1 0.89 0.20 1.00 0.33 0.50 1.00
13.1 0.89 0.50 1.00 0.67 0.50 1.00
12.85 0.89 0.30 1.00 0.67 0.00 0.50
9.5 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
11.85 0.89 0.60 0.83 0.33 0.00 1.00
13.6 0.67 0.30 0.83 0.00 0.50 0.50
11.7 0.33 0.00 0.00 0.00 0.00 0.00
12.4 0.78 0.30 0.67 0.00 0.50 0.00
13.35 0.89 0.50 1.00 0.67 0.50 1.00
11.4 0.78 0.40 0.67 0.00 0.00 1.00
14.9 0.78 0.50 0.83 0.67 0.00 0.50
19.9 0.89 0.70 1.00 1.00 1.00 0.50
17.75 0.89 0.40 0.83 1.00 0.50 1.00
11.2 0.78 0.80 1.00 0.67 0.50 1.00
14.6 0.78 0.60 1.00 0.33 0.50 1.00
17.6 0.67 0.40 0.83 0.33 0.00 0.50
14.05 0.89 0.50 0.83 0.33 0.50 0.00
16.1 0.89 0.50 1.00 0.00 0.50 1.00
13.35 0.78 0.30 1.00 0.33 0.00 1.00
11.85 1.00 0.60 1.00 0.00 0.50 1.00
11.95 1.00 0.30 0.67 0.67 0.00 0.50
14.75 0.78 0.60 0.83 1.00 0.50 0.50
15.15 0.78 0.30 0.33 0.33 0.00 1.00
13.2 0.89 0.70 1.00 0.67 1.00 1.00
16.85 0.89 0.70 1.00 1.00 0.00 1.00
7.85 0.67 0.60 0.67 1.00 0.50 1.00
7.7 1.00 0.50 1.00 0.33 0.50 0.00
12.6 0.67 0.50 0.83 0.33 0.00 0.50
7.85 0.56 0.40 0.67 0.00 0.00 1.00
10.95 0.78 0.40 1.00 0.33 1.00 1.00
12.35 1.00 0.70 1.00 1.00 0.00 1.00
9.95 0.67 0.20 0.17 0.00 0.50 0.00
14.9 0.78 0.50 0.83 0.67 0.00 0.50
16.65 0.56 0.40 0.83 0.67 0.50 0.00
13.4 1.00 0.20 1.00 0.67 1.00 1.00
13.95 0.89 0.50 0.67 0.67 0.00 0.00
15.7 0.44 0.40 0.50 0.00 0.00 1.00
16.85 1.00 0.70 0.67 1.00 1.00 1.00
10.95 0.89 0.60 0.83 0.67 1.00 0.00
15.35 0.78 0.40 0.83 0.00 0.00 0.00
12.2 0.89 0.50 1.00 0.67 1.00 1.00
15.1 0.11 0.00 0.17 0.00 0.00 0.00
17.75 0.89 0.70 1.00 0.67 0.50 1.00
15.2 0.89 0.40 0.67 0.67 0.00 1.00
14.6 1.00 0.50 0.67 1.00 0.00 1.00
16.65 0.89 0.60 0.83 0.67 0.00 0.50
8.1 1.00 0.80 0.50 0.67 0.50 0.50

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	9 seconds
R Server	'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265608&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265608&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265608&T=0

As an alternative you can also use a QR Code:

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	9 seconds
R Server	'George Udny Yule' @ yule.wessa.net

Multiple Linear Regression - Estimated Regression Equation
TOT[t] = + 11.9689 + 0.186634Calculation[t] -1.14279Algebraic_Reasoning[t] + 0.88865Graphical_Interpretation[t] + 1.5645Proportionality_and_Ratio[t] + 0.500487Probability_and_Sampling[t] -0.426699Estimation[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
TOT[t] =  +  11.9689 +  0.186634Calculation[t] -1.14279Algebraic_Reasoning[t] +  0.88865Graphical_Interpretation[t] +  1.5645Proportionality_and_Ratio[t] +  0.500487Probability_and_Sampling[t] -0.426699Estimation[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265608&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]TOT[t] =  +  11.9689 +  0.186634Calculation[t] -1.14279Algebraic_Reasoning[t] +  0.88865Graphical_Interpretation[t] +  1.5645Proportionality_and_Ratio[t] +  0.500487Probability_and_Sampling[t] -0.426699Estimation[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265608&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265608&T=1

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Estimated Regression Equation
TOT[t] = + 11.9689 + 0.186634Calculation[t] -1.14279Algebraic_Reasoning[t] + 0.88865Graphical_Interpretation[t] + 1.5645Proportionality_and_Ratio[t] + 0.500487Probability_and_Sampling[t] -0.426699Estimation[t] + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	11.9689	0.986602	12.13	1.74422e-27	8.72109e-28
Calculation	0.186634	1.37027	0.1362	0.891759	0.445879
Algebraic_Reasoning	-1.14279	1.2567	-0.9094	0.363945	0.181973
Graphical_Interpretation	0.88865	1.01137	0.8787	0.380343	0.190172
Proportionality_and_Ratio	1.5645	0.635498	2.462	0.0144274	0.00721368
Probability_and_Sampling	0.500487	0.584006	0.857	0.392186	0.196093
Estimation	-0.426699	0.56106	-0.7605	0.447584	0.223792

\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) & 11.9689 & 0.986602 & 12.13 & 1.74422e-27 & 8.72109e-28 \tabularnewline
Calculation & 0.186634 & 1.37027 & 0.1362 & 0.891759 & 0.445879 \tabularnewline
Algebraic_Reasoning & -1.14279 & 1.2567 & -0.9094 & 0.363945 & 0.181973 \tabularnewline
Graphical_Interpretation & 0.88865 & 1.01137 & 0.8787 & 0.380343 & 0.190172 \tabularnewline
Proportionality_and_Ratio & 1.5645 & 0.635498 & 2.462 & 0.0144274 & 0.00721368 \tabularnewline
Probability_and_Sampling & 0.500487 & 0.584006 & 0.857 & 0.392186 & 0.196093 \tabularnewline
Estimation & -0.426699 & 0.56106 & -0.7605 & 0.447584 & 0.223792 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265608&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]11.9689[/C][C]0.986602[/C][C]12.13[/C][C]1.74422e-27[/C][C]8.72109e-28[/C][/ROW]
[ROW][C]Calculation[/C][C]0.186634[/C][C]1.37027[/C][C]0.1362[/C][C]0.891759[/C][C]0.445879[/C][/ROW]
[ROW][C]Algebraic_Reasoning[/C][C]-1.14279[/C][C]1.2567[/C][C]-0.9094[/C][C]0.363945[/C][C]0.181973[/C][/ROW]
[ROW][C]Graphical_Interpretation[/C][C]0.88865[/C][C]1.01137[/C][C]0.8787[/C][C]0.380343[/C][C]0.190172[/C][/ROW]
[ROW][C]Proportionality_and_Ratio[/C][C]1.5645[/C][C]0.635498[/C][C]2.462[/C][C]0.0144274[/C][C]0.00721368[/C][/ROW]
[ROW][C]Probability_and_Sampling[/C][C]0.500487[/C][C]0.584006[/C][C]0.857[/C][C]0.392186[/C][C]0.196093[/C][/ROW]
[ROW][C]Estimation[/C][C]-0.426699[/C][C]0.56106[/C][C]-0.7605[/C][C]0.447584[/C][C]0.223792[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265608&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265608&T=2

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	11.9689	0.986602	12.13	1.74422e-27	8.72109e-28
Calculation	0.186634	1.37027	0.1362	0.891759	0.445879
Algebraic_Reasoning	-1.14279	1.2567	-0.9094	0.363945	0.181973
Graphical_Interpretation	0.88865	1.01137	0.8787	0.380343	0.190172
Proportionality_and_Ratio	1.5645	0.635498	2.462	0.0144274	0.00721368
Probability_and_Sampling	0.500487	0.584006	0.857	0.392186	0.196093
Estimation	-0.426699	0.56106	-0.7605	0.447584	0.223792

Multiple Linear Regression - Regression Statistics
Multiple R	0.185138
R-squared	0.0342761
Adjusted R-squared	0.0135078
F-TEST (value)	1.65041
F-TEST (DF numerator)	6
F-TEST (DF denominator)	279
p-value	0.133325
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	3.39808
Sum Squared Residuals	3221.6

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.185138 \tabularnewline
R-squared & 0.0342761 \tabularnewline
Adjusted R-squared & 0.0135078 \tabularnewline
F-TEST (value) & 1.65041 \tabularnewline
F-TEST (DF numerator) & 6 \tabularnewline
F-TEST (DF denominator) & 279 \tabularnewline
p-value & 0.133325 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 3.39808 \tabularnewline
Sum Squared Residuals & 3221.6 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265608&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.185138[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0342761[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.0135078[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]1.65041[/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]0.133325[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]3.39808[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]3221.6[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265608&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265608&T=3

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Regression Statistics
Multiple R	0.185138
R-squared	0.0342761
Adjusted R-squared	0.0135078
F-TEST (value)	1.65041
F-TEST (DF numerator)	6
F-TEST (DF denominator)	279
p-value	0.133325
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	3.39808
Sum Squared Residuals	3221.6

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	12.9	13.0144	-0.11436
2	7.4	13.2302	-5.83023
3	12.2	12.641	-0.440979
4	12.8	13.188	-0.388014
5	7.4	12.3011	-4.90115
6	6.7	12.0042	-5.30419
7	12.6	11.8085	0.791507
8	14.8	13.7139	1.08611
9	13.3	13.2647	0.0352939
10	11.1	12.3228	-1.22283
11	8.2	12.8071	-4.60712
12	11.4	13.2653	-1.86529
13	6.4	12.5182	-6.11817
14	10.6	12.6034	-2.00339
15	12	12.7437	-0.743689
16	6.3	12.6752	-6.37525
17	11.3	12.7781	-1.47806
18	11.9	12.9686	-1.06861
19	9.3	12.2292	-2.92918
20	9.6	12.2691	-2.66908
21	10	12.0546	-2.05457
22	6.4	13.0508	-6.65079
23	13.8	12.4275	1.37247
24	10.8	12.2559	-1.45593
25	13.8	12.7336	1.06643
26	11.7	13.7724	-2.07236
27	10.9	12.3973	-1.49729
28	16.1	12.4914	3.60857
29	13.4	13.2503	0.149707
30	9.9	13.7043	-3.8043
31	11.5	13.4378	-1.93779
32	8.3	12.3012	-4.00124
33	11.7	12.0968	-0.396789
34	6.1	13.2097	-7.1097
35	9	13.3088	-4.30877
36	9.7	13.3572	-3.6572
37	10.8	13.6686	-2.86856
38	10.3	14.2616	-3.96164
39	10.4	12.6482	-2.24822
40	12.7	12.7315	-0.0315172
41	9.3	13.3863	-4.08626
42	11.8	13.0954	-1.29542
43	5.9	13.4025	-7.50252
44	11.4	13.4383	-2.03826
45	13	12.6778	0.32223
46	10.8	13.7248	-2.92483
47	12.3	13.1102	-0.810164
48	11.3	13.4068	-2.10679
49	11.8	11.924	-0.124034
50	7.9	12.3533	-4.45325
51	12.7	11.2879	1.41206
52	12.3	13.4401	-1.1401
53	11.6	13.9019	-2.30185
54	6.7	12.4469	-5.7469
55	10.9	13.6033	-2.70328
56	12.1	12.2594	-0.1594
57	13.3	12.7962	0.503787
58	10.1	13.4805	-3.38047
59	5.7	13.5327	-7.8327
60	14.3	11.7167	2.58331
61	8	12.6114	-4.61143
62	13.3	12.8874	0.412609
63	9.3	13.4653	-4.16526
64	12.5	11.7613	0.738674
65	7.6	14.0278	-6.42776
66	15.9	13.4994	2.40062
67	9.2	12.0968	-2.89679
68	9.1	13.7818	-4.68179
69	11.1	13.353	-2.25303
70	13	13.4003	-0.400312
71	14.5	14.0264	0.473603
72	12.2	12.4481	-0.248055
73	12.3	12.2981	0.00185951
74	11.4	13.1081	-1.70811
75	8.8	12.74	-3.94005
76	14.6	13.1729	1.42709
77	7.3	13.2302	-5.93023
78	12.6	12.367	0.233006
79	NA	NA	0.758123
80	13	13.6925	-0.692508
81	12.6	12.2694	0.330566
82	13.2	15.7457	-2.54572
83	9.9	14.2116	-4.31157
84	7.7	9.68369	-1.98369
85	10.5	9.29539	1.20461
86	13.4	15.6524	-2.25238
87	10.9	19.2356	-8.33556
88	4.3	7.02908	-2.72908
89	10.3	11.0266	-0.726596
90	11.8	13.655	-1.85498
91	11.2	13.3532	-2.15323
92	11.4	16.223	-4.82305
93	8.6	7.09858	1.50142
94	13.2	13.8309	-0.630919
95	12.6	19.8653	-7.26527
96	5.6	7.43964	-1.83964
97	9.9	13.8715	-3.97152
98	8.8	12.9539	-4.15392
99	7.7	10.318	-2.61799
100	9	14.0187	-5.01867
101	7.3	9.5365	-2.2365
102	11.4	10.8586	0.541371
103	13.6	18.9667	-5.36666
104	7.9	10.4798	-2.57981
105	10.7	14.2603	-3.56033
106	10.3	13.8653	-3.56535
107	8.3	10.8815	-2.58155
108	9.6	7.63887	1.96113
109	14.2	17.8524	-3.65238
110	8.5	6.95412	1.54588
111	13.5	22.0884	-8.58841
112	4.9	11.358	-6.45797
113	6.4	8.99781	-2.59781
114	9.6	11.1081	-1.50811
115	11.6	13.4959	-1.89588
116	11.1	19.1412	-8.0412
117	4.35	5.43225	-1.08225
118	12.7	7.94939	4.75061
119	18.1	14.5896	3.5104
120	17.85	14.7486	3.10142
121	16.6	16.3121	0.28791
122	12.6	8.84635	3.75365
123	17.1	11.8028	5.29722
124	19.1	15.9432	3.15681
125	16.1	15.0826	1.01738
126	13.35	8.06016	5.28984
127	18.4	17.1389	1.26105
128	14.7	17.3612	-2.66123
129	10.6	9.91977	0.680234
130	12.6	8.40926	4.19074
131	16.2	15.0264	1.17363
132	13.6	7.61165	5.98835
133	18.9	18.1089	0.791128
134	14.1	13.8048	0.295214
135	14.5	10.937	3.56297
136	16.15	14.7603	1.3897
137	14.75	13.1253	1.6247
138	14.8	16.1618	-1.36183
139	12.45	12.6611	-0.211075
140	12.65	8.96797	3.68203
141	17.35	22.3852	-5.03524
142	8.6	3.25747	5.34253
143	18.4	15.7726	2.62737
144	16.1	18.2097	-2.10972
145	11.6	6.98489	4.61511
146	17.75	14.5305	3.21955
147	15.25	11.0383	4.21174
148	17.65	14.417	3.23301
149	15.6	11.6412	3.9588
150	16.35	11.8286	4.52136
151	17.65	16.3192	1.33084
152	13.6	14.3813	-0.781274
153	11.7	9.97461	1.72539
154	14.35	11.8032	2.54679
155	14.75	10.5537	4.19628
156	18.25	20.6664	-2.41636
157	9.9	7.6561	2.2439
158	16	11.0747	4.92533
159	18.25	13.3887	4.86127
160	16.85	16.0581	0.791898
161	14.6	12.989	1.61103
162	13.85	8.89676	4.95324
163	18.95	16.3881	2.5619
164	15.6	13.5963	2.00367
165	14.85	16.7728	-1.92283
166	11.75	6.79743	4.95257
167	18.45	15.9479	2.50211
168	15.9	12.7594	3.1406
169	17.1	14.9019	2.19815
170	16.1	10.2753	5.8247
171	19.9	22.086	-2.18604
172	10.95	5.50167	5.44833
173	18.45	17.7887	0.661335
174	15.1	13.6362	1.46383
175	15	16.9329	-1.93292
176	11.35	8.63138	2.71862
177	15.95	10.5889	5.36111
178	18.1	17.2161	0.883905
179	14.6	12.7742	1.82578
180	15.4	13.5742	1.82578
181	15.4	10.5704	4.82964
182	17.6	17.1195	0.480463
183	13.35	6.05975	7.29025
184	19.1	16.597	2.50305
185	15.35	20.2507	-4.90075
186	7.6	7.25125	0.348746
187	13.4	12.0665	1.3335
188	13.9	8.8384	5.0616
189	19.1	16.1608	2.93917
190	15.25	15.64	-0.390016
191	12.9	9.88874	3.01126
192	16.1	11.8387	4.26126
193	17.35	17.2887	0.061264
194	13.15	14.0682	-0.918206
195	12.15	11.4804	0.669593
196	12.6	15.3454	-2.74542
197	10.35	8.2281	2.1219
198	15.4	19.1325	-3.7325
199	9.6	3.51338	6.08662
200	18.2	17.0058	1.19418
201	13.6	12.5182	1.0818
202	14.85	12.7626	2.08744
203	14.75	12.8315	1.91848
204	14.1	11.6361	2.46395
205	14.9	11.1356	3.76436
206	16.25	9.94319	6.30681
207	19.25	18.1561	1.09393
208	13.6	12.3122	1.28781
209	13.6	11.6995	1.90048
210	15.65	16.2808	-0.630834
211	12.75	11.7032	1.04677
212	14.6	17.0816	-2.48157
213	9.85	10.2737	-0.423735
214	12.65	13.4199	-0.769929
215	11.9	4.66886	7.23114
216	19.2	15.892	3.30803
217	16.6	18.9428	-2.34275
218	11.2	8.87686	2.32314
219	15.25	15.4464	-0.196427
220	11.9	10.803	1.09699
221	13.2	9.54411	3.65589
222	16.35	15.4049	0.94509
223	12.4	9.57662	2.82338
224	15.85	14.3627	1.48725
225	14.35	9.87224	4.47776
226	18.15	19.937	-1.78697
227	11.15	8.65343	2.49657
228	15.65	10.0979	5.55209
229	17.75	22.7337	-4.98369
230	7.65	8.4171	-0.767105
231	12.35	9.36848	2.98152
232	15.6	10.5206	5.07942
233	19.3	17.1217	2.17827
234	15.2	11.1569	4.04307
235	17.1	15.3035	1.79653
236	15.6	10.6068	4.99321
237	18.4	12.5798	5.82024
238	19.05	12.551	6.49902
239	18.55	12.5849	5.96511
240	19.1	19.324	-0.223979
241	13.1	13.7656	-0.665643
242	12.85	15.401	-2.55098
243	9.5	18.4595	-8.95948
244	4.5	4.92646	-0.426456
245	11.85	10.7755	1.07446
246	13.6	13.9305	-0.330451
247	11.7	11.9172	-0.217238
248	12.4	12.374	0.0260214
249	13.35	13.776	-0.426016
250	11.4	9.61548	1.78452
251	14.9	9.0753	5.8247
252	19.9	15.9535	3.94653
253	17.75	19.5106	-1.76061
254	11.2	9.25724	1.94276
255	14.6	9.6773	4.9227
256	17.6	16.6177	0.982322
257	14.05	10.2258	3.82424
258	16.1	15.4998	0.600166
259	13.35	13.682	-0.332015
260	11.85	13.1429	-1.29292
261	11.95	10.9677	0.982267
262	14.75	11.7544	2.99556
263	15.15	15.2957	-0.145663
264	13.2	9.71146	3.48854
265	16.85	22.3917	-5.54167
266	7.85	13.3893	-5.53928
267	7.7	7.66302	0.0369751
268	12.6	16.535	-3.93496
269	7.85	10.036	-2.18604
270	10.95	11.982	-1.03199
271	12.35	14.6667	-2.31666
272	9.95	8.16548	1.78452
273	14.9	11.9023	2.9977
274	16.65	17.1876	-0.53759
275	13.4	12.6572	0.742821
276	13.95	9.86149	4.08851
277	15.7	12.4392	3.26078
278	16.85	19.6356	-2.78557
279	10.95	7.9949	2.9551
280	15.35	16.7242	-1.37422
281	12.2	9.24046	2.95954
282	15.1	10.4454	4.65458
283	17.75	15.4448	2.30524
284	15.2	13.9173	1.28271
285	14.6	10.9717	3.62827
286	16.65	21.3207	-4.67069
287	8.1	NA	NA

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12.9 & 13.0144 & -0.11436 \tabularnewline
2 & 7.4 & 13.2302 & -5.83023 \tabularnewline
3 & 12.2 & 12.641 & -0.440979 \tabularnewline
4 & 12.8 & 13.188 & -0.388014 \tabularnewline
5 & 7.4 & 12.3011 & -4.90115 \tabularnewline
6 & 6.7 & 12.0042 & -5.30419 \tabularnewline
7 & 12.6 & 11.8085 & 0.791507 \tabularnewline
8 & 14.8 & 13.7139 & 1.08611 \tabularnewline
9 & 13.3 & 13.2647 & 0.0352939 \tabularnewline
10 & 11.1 & 12.3228 & -1.22283 \tabularnewline
11 & 8.2 & 12.8071 & -4.60712 \tabularnewline
12 & 11.4 & 13.2653 & -1.86529 \tabularnewline
13 & 6.4 & 12.5182 & -6.11817 \tabularnewline
14 & 10.6 & 12.6034 & -2.00339 \tabularnewline
15 & 12 & 12.7437 & -0.743689 \tabularnewline
16 & 6.3 & 12.6752 & -6.37525 \tabularnewline
17 & 11.3 & 12.7781 & -1.47806 \tabularnewline
18 & 11.9 & 12.9686 & -1.06861 \tabularnewline
19 & 9.3 & 12.2292 & -2.92918 \tabularnewline
20 & 9.6 & 12.2691 & -2.66908 \tabularnewline
21 & 10 & 12.0546 & -2.05457 \tabularnewline
22 & 6.4 & 13.0508 & -6.65079 \tabularnewline
23 & 13.8 & 12.4275 & 1.37247 \tabularnewline
24 & 10.8 & 12.2559 & -1.45593 \tabularnewline
25 & 13.8 & 12.7336 & 1.06643 \tabularnewline
26 & 11.7 & 13.7724 & -2.07236 \tabularnewline
27 & 10.9 & 12.3973 & -1.49729 \tabularnewline
28 & 16.1 & 12.4914 & 3.60857 \tabularnewline
29 & 13.4 & 13.2503 & 0.149707 \tabularnewline
30 & 9.9 & 13.7043 & -3.8043 \tabularnewline
31 & 11.5 & 13.4378 & -1.93779 \tabularnewline
32 & 8.3 & 12.3012 & -4.00124 \tabularnewline
33 & 11.7 & 12.0968 & -0.396789 \tabularnewline
34 & 6.1 & 13.2097 & -7.1097 \tabularnewline
35 & 9 & 13.3088 & -4.30877 \tabularnewline
36 & 9.7 & 13.3572 & -3.6572 \tabularnewline
37 & 10.8 & 13.6686 & -2.86856 \tabularnewline
38 & 10.3 & 14.2616 & -3.96164 \tabularnewline
39 & 10.4 & 12.6482 & -2.24822 \tabularnewline
40 & 12.7 & 12.7315 & -0.0315172 \tabularnewline
41 & 9.3 & 13.3863 & -4.08626 \tabularnewline
42 & 11.8 & 13.0954 & -1.29542 \tabularnewline
43 & 5.9 & 13.4025 & -7.50252 \tabularnewline
44 & 11.4 & 13.4383 & -2.03826 \tabularnewline
45 & 13 & 12.6778 & 0.32223 \tabularnewline
46 & 10.8 & 13.7248 & -2.92483 \tabularnewline
47 & 12.3 & 13.1102 & -0.810164 \tabularnewline
48 & 11.3 & 13.4068 & -2.10679 \tabularnewline
49 & 11.8 & 11.924 & -0.124034 \tabularnewline
50 & 7.9 & 12.3533 & -4.45325 \tabularnewline
51 & 12.7 & 11.2879 & 1.41206 \tabularnewline
52 & 12.3 & 13.4401 & -1.1401 \tabularnewline
53 & 11.6 & 13.9019 & -2.30185 \tabularnewline
54 & 6.7 & 12.4469 & -5.7469 \tabularnewline
55 & 10.9 & 13.6033 & -2.70328 \tabularnewline
56 & 12.1 & 12.2594 & -0.1594 \tabularnewline
57 & 13.3 & 12.7962 & 0.503787 \tabularnewline
58 & 10.1 & 13.4805 & -3.38047 \tabularnewline
59 & 5.7 & 13.5327 & -7.8327 \tabularnewline
60 & 14.3 & 11.7167 & 2.58331 \tabularnewline
61 & 8 & 12.6114 & -4.61143 \tabularnewline
62 & 13.3 & 12.8874 & 0.412609 \tabularnewline
63 & 9.3 & 13.4653 & -4.16526 \tabularnewline
64 & 12.5 & 11.7613 & 0.738674 \tabularnewline
65 & 7.6 & 14.0278 & -6.42776 \tabularnewline
66 & 15.9 & 13.4994 & 2.40062 \tabularnewline
67 & 9.2 & 12.0968 & -2.89679 \tabularnewline
68 & 9.1 & 13.7818 & -4.68179 \tabularnewline
69 & 11.1 & 13.353 & -2.25303 \tabularnewline
70 & 13 & 13.4003 & -0.400312 \tabularnewline
71 & 14.5 & 14.0264 & 0.473603 \tabularnewline
72 & 12.2 & 12.4481 & -0.248055 \tabularnewline
73 & 12.3 & 12.2981 & 0.00185951 \tabularnewline
74 & 11.4 & 13.1081 & -1.70811 \tabularnewline
75 & 8.8 & 12.74 & -3.94005 \tabularnewline
76 & 14.6 & 13.1729 & 1.42709 \tabularnewline
77 & 7.3 & 13.2302 & -5.93023 \tabularnewline
78 & 12.6 & 12.367 & 0.233006 \tabularnewline
79 & NA & NA & 0.758123 \tabularnewline
80 & 13 & 13.6925 & -0.692508 \tabularnewline
81 & 12.6 & 12.2694 & 0.330566 \tabularnewline
82 & 13.2 & 15.7457 & -2.54572 \tabularnewline
83 & 9.9 & 14.2116 & -4.31157 \tabularnewline
84 & 7.7 & 9.68369 & -1.98369 \tabularnewline
85 & 10.5 & 9.29539 & 1.20461 \tabularnewline
86 & 13.4 & 15.6524 & -2.25238 \tabularnewline
87 & 10.9 & 19.2356 & -8.33556 \tabularnewline
88 & 4.3 & 7.02908 & -2.72908 \tabularnewline
89 & 10.3 & 11.0266 & -0.726596 \tabularnewline
90 & 11.8 & 13.655 & -1.85498 \tabularnewline
91 & 11.2 & 13.3532 & -2.15323 \tabularnewline
92 & 11.4 & 16.223 & -4.82305 \tabularnewline
93 & 8.6 & 7.09858 & 1.50142 \tabularnewline
94 & 13.2 & 13.8309 & -0.630919 \tabularnewline
95 & 12.6 & 19.8653 & -7.26527 \tabularnewline
96 & 5.6 & 7.43964 & -1.83964 \tabularnewline
97 & 9.9 & 13.8715 & -3.97152 \tabularnewline
98 & 8.8 & 12.9539 & -4.15392 \tabularnewline
99 & 7.7 & 10.318 & -2.61799 \tabularnewline
100 & 9 & 14.0187 & -5.01867 \tabularnewline
101 & 7.3 & 9.5365 & -2.2365 \tabularnewline
102 & 11.4 & 10.8586 & 0.541371 \tabularnewline
103 & 13.6 & 18.9667 & -5.36666 \tabularnewline
104 & 7.9 & 10.4798 & -2.57981 \tabularnewline
105 & 10.7 & 14.2603 & -3.56033 \tabularnewline
106 & 10.3 & 13.8653 & -3.56535 \tabularnewline
107 & 8.3 & 10.8815 & -2.58155 \tabularnewline
108 & 9.6 & 7.63887 & 1.96113 \tabularnewline
109 & 14.2 & 17.8524 & -3.65238 \tabularnewline
110 & 8.5 & 6.95412 & 1.54588 \tabularnewline
111 & 13.5 & 22.0884 & -8.58841 \tabularnewline
112 & 4.9 & 11.358 & -6.45797 \tabularnewline
113 & 6.4 & 8.99781 & -2.59781 \tabularnewline
114 & 9.6 & 11.1081 & -1.50811 \tabularnewline
115 & 11.6 & 13.4959 & -1.89588 \tabularnewline
116 & 11.1 & 19.1412 & -8.0412 \tabularnewline
117 & 4.35 & 5.43225 & -1.08225 \tabularnewline
118 & 12.7 & 7.94939 & 4.75061 \tabularnewline
119 & 18.1 & 14.5896 & 3.5104 \tabularnewline
120 & 17.85 & 14.7486 & 3.10142 \tabularnewline
121 & 16.6 & 16.3121 & 0.28791 \tabularnewline
122 & 12.6 & 8.84635 & 3.75365 \tabularnewline
123 & 17.1 & 11.8028 & 5.29722 \tabularnewline
124 & 19.1 & 15.9432 & 3.15681 \tabularnewline
125 & 16.1 & 15.0826 & 1.01738 \tabularnewline
126 & 13.35 & 8.06016 & 5.28984 \tabularnewline
127 & 18.4 & 17.1389 & 1.26105 \tabularnewline
128 & 14.7 & 17.3612 & -2.66123 \tabularnewline
129 & 10.6 & 9.91977 & 0.680234 \tabularnewline
130 & 12.6 & 8.40926 & 4.19074 \tabularnewline
131 & 16.2 & 15.0264 & 1.17363 \tabularnewline
132 & 13.6 & 7.61165 & 5.98835 \tabularnewline
133 & 18.9 & 18.1089 & 0.791128 \tabularnewline
134 & 14.1 & 13.8048 & 0.295214 \tabularnewline
135 & 14.5 & 10.937 & 3.56297 \tabularnewline
136 & 16.15 & 14.7603 & 1.3897 \tabularnewline
137 & 14.75 & 13.1253 & 1.6247 \tabularnewline
138 & 14.8 & 16.1618 & -1.36183 \tabularnewline
139 & 12.45 & 12.6611 & -0.211075 \tabularnewline
140 & 12.65 & 8.96797 & 3.68203 \tabularnewline
141 & 17.35 & 22.3852 & -5.03524 \tabularnewline
142 & 8.6 & 3.25747 & 5.34253 \tabularnewline
143 & 18.4 & 15.7726 & 2.62737 \tabularnewline
144 & 16.1 & 18.2097 & -2.10972 \tabularnewline
145 & 11.6 & 6.98489 & 4.61511 \tabularnewline
146 & 17.75 & 14.5305 & 3.21955 \tabularnewline
147 & 15.25 & 11.0383 & 4.21174 \tabularnewline
148 & 17.65 & 14.417 & 3.23301 \tabularnewline
149 & 15.6 & 11.6412 & 3.9588 \tabularnewline
150 & 16.35 & 11.8286 & 4.52136 \tabularnewline
151 & 17.65 & 16.3192 & 1.33084 \tabularnewline
152 & 13.6 & 14.3813 & -0.781274 \tabularnewline
153 & 11.7 & 9.97461 & 1.72539 \tabularnewline
154 & 14.35 & 11.8032 & 2.54679 \tabularnewline
155 & 14.75 & 10.5537 & 4.19628 \tabularnewline
156 & 18.25 & 20.6664 & -2.41636 \tabularnewline
157 & 9.9 & 7.6561 & 2.2439 \tabularnewline
158 & 16 & 11.0747 & 4.92533 \tabularnewline
159 & 18.25 & 13.3887 & 4.86127 \tabularnewline
160 & 16.85 & 16.0581 & 0.791898 \tabularnewline
161 & 14.6 & 12.989 & 1.61103 \tabularnewline
162 & 13.85 & 8.89676 & 4.95324 \tabularnewline
163 & 18.95 & 16.3881 & 2.5619 \tabularnewline
164 & 15.6 & 13.5963 & 2.00367 \tabularnewline
165 & 14.85 & 16.7728 & -1.92283 \tabularnewline
166 & 11.75 & 6.79743 & 4.95257 \tabularnewline
167 & 18.45 & 15.9479 & 2.50211 \tabularnewline
168 & 15.9 & 12.7594 & 3.1406 \tabularnewline
169 & 17.1 & 14.9019 & 2.19815 \tabularnewline
170 & 16.1 & 10.2753 & 5.8247 \tabularnewline
171 & 19.9 & 22.086 & -2.18604 \tabularnewline
172 & 10.95 & 5.50167 & 5.44833 \tabularnewline
173 & 18.45 & 17.7887 & 0.661335 \tabularnewline
174 & 15.1 & 13.6362 & 1.46383 \tabularnewline
175 & 15 & 16.9329 & -1.93292 \tabularnewline
176 & 11.35 & 8.63138 & 2.71862 \tabularnewline
177 & 15.95 & 10.5889 & 5.36111 \tabularnewline
178 & 18.1 & 17.2161 & 0.883905 \tabularnewline
179 & 14.6 & 12.7742 & 1.82578 \tabularnewline
180 & 15.4 & 13.5742 & 1.82578 \tabularnewline
181 & 15.4 & 10.5704 & 4.82964 \tabularnewline
182 & 17.6 & 17.1195 & 0.480463 \tabularnewline
183 & 13.35 & 6.05975 & 7.29025 \tabularnewline
184 & 19.1 & 16.597 & 2.50305 \tabularnewline
185 & 15.35 & 20.2507 & -4.90075 \tabularnewline
186 & 7.6 & 7.25125 & 0.348746 \tabularnewline
187 & 13.4 & 12.0665 & 1.3335 \tabularnewline
188 & 13.9 & 8.8384 & 5.0616 \tabularnewline
189 & 19.1 & 16.1608 & 2.93917 \tabularnewline
190 & 15.25 & 15.64 & -0.390016 \tabularnewline
191 & 12.9 & 9.88874 & 3.01126 \tabularnewline
192 & 16.1 & 11.8387 & 4.26126 \tabularnewline
193 & 17.35 & 17.2887 & 0.061264 \tabularnewline
194 & 13.15 & 14.0682 & -0.918206 \tabularnewline
195 & 12.15 & 11.4804 & 0.669593 \tabularnewline
196 & 12.6 & 15.3454 & -2.74542 \tabularnewline
197 & 10.35 & 8.2281 & 2.1219 \tabularnewline
198 & 15.4 & 19.1325 & -3.7325 \tabularnewline
199 & 9.6 & 3.51338 & 6.08662 \tabularnewline
200 & 18.2 & 17.0058 & 1.19418 \tabularnewline
201 & 13.6 & 12.5182 & 1.0818 \tabularnewline
202 & 14.85 & 12.7626 & 2.08744 \tabularnewline
203 & 14.75 & 12.8315 & 1.91848 \tabularnewline
204 & 14.1 & 11.6361 & 2.46395 \tabularnewline
205 & 14.9 & 11.1356 & 3.76436 \tabularnewline
206 & 16.25 & 9.94319 & 6.30681 \tabularnewline
207 & 19.25 & 18.1561 & 1.09393 \tabularnewline
208 & 13.6 & 12.3122 & 1.28781 \tabularnewline
209 & 13.6 & 11.6995 & 1.90048 \tabularnewline
210 & 15.65 & 16.2808 & -0.630834 \tabularnewline
211 & 12.75 & 11.7032 & 1.04677 \tabularnewline
212 & 14.6 & 17.0816 & -2.48157 \tabularnewline
213 & 9.85 & 10.2737 & -0.423735 \tabularnewline
214 & 12.65 & 13.4199 & -0.769929 \tabularnewline
215 & 11.9 & 4.66886 & 7.23114 \tabularnewline
216 & 19.2 & 15.892 & 3.30803 \tabularnewline
217 & 16.6 & 18.9428 & -2.34275 \tabularnewline
218 & 11.2 & 8.87686 & 2.32314 \tabularnewline
219 & 15.25 & 15.4464 & -0.196427 \tabularnewline
220 & 11.9 & 10.803 & 1.09699 \tabularnewline
221 & 13.2 & 9.54411 & 3.65589 \tabularnewline
222 & 16.35 & 15.4049 & 0.94509 \tabularnewline
223 & 12.4 & 9.57662 & 2.82338 \tabularnewline
224 & 15.85 & 14.3627 & 1.48725 \tabularnewline
225 & 14.35 & 9.87224 & 4.47776 \tabularnewline
226 & 18.15 & 19.937 & -1.78697 \tabularnewline
227 & 11.15 & 8.65343 & 2.49657 \tabularnewline
228 & 15.65 & 10.0979 & 5.55209 \tabularnewline
229 & 17.75 & 22.7337 & -4.98369 \tabularnewline
230 & 7.65 & 8.4171 & -0.767105 \tabularnewline
231 & 12.35 & 9.36848 & 2.98152 \tabularnewline
232 & 15.6 & 10.5206 & 5.07942 \tabularnewline
233 & 19.3 & 17.1217 & 2.17827 \tabularnewline
234 & 15.2 & 11.1569 & 4.04307 \tabularnewline
235 & 17.1 & 15.3035 & 1.79653 \tabularnewline
236 & 15.6 & 10.6068 & 4.99321 \tabularnewline
237 & 18.4 & 12.5798 & 5.82024 \tabularnewline
238 & 19.05 & 12.551 & 6.49902 \tabularnewline
239 & 18.55 & 12.5849 & 5.96511 \tabularnewline
240 & 19.1 & 19.324 & -0.223979 \tabularnewline
241 & 13.1 & 13.7656 & -0.665643 \tabularnewline
242 & 12.85 & 15.401 & -2.55098 \tabularnewline
243 & 9.5 & 18.4595 & -8.95948 \tabularnewline
244 & 4.5 & 4.92646 & -0.426456 \tabularnewline
245 & 11.85 & 10.7755 & 1.07446 \tabularnewline
246 & 13.6 & 13.9305 & -0.330451 \tabularnewline
247 & 11.7 & 11.9172 & -0.217238 \tabularnewline
248 & 12.4 & 12.374 & 0.0260214 \tabularnewline
249 & 13.35 & 13.776 & -0.426016 \tabularnewline
250 & 11.4 & 9.61548 & 1.78452 \tabularnewline
251 & 14.9 & 9.0753 & 5.8247 \tabularnewline
252 & 19.9 & 15.9535 & 3.94653 \tabularnewline
253 & 17.75 & 19.5106 & -1.76061 \tabularnewline
254 & 11.2 & 9.25724 & 1.94276 \tabularnewline
255 & 14.6 & 9.6773 & 4.9227 \tabularnewline
256 & 17.6 & 16.6177 & 0.982322 \tabularnewline
257 & 14.05 & 10.2258 & 3.82424 \tabularnewline
258 & 16.1 & 15.4998 & 0.600166 \tabularnewline
259 & 13.35 & 13.682 & -0.332015 \tabularnewline
260 & 11.85 & 13.1429 & -1.29292 \tabularnewline
261 & 11.95 & 10.9677 & 0.982267 \tabularnewline
262 & 14.75 & 11.7544 & 2.99556 \tabularnewline
263 & 15.15 & 15.2957 & -0.145663 \tabularnewline
264 & 13.2 & 9.71146 & 3.48854 \tabularnewline
265 & 16.85 & 22.3917 & -5.54167 \tabularnewline
266 & 7.85 & 13.3893 & -5.53928 \tabularnewline
267 & 7.7 & 7.66302 & 0.0369751 \tabularnewline
268 & 12.6 & 16.535 & -3.93496 \tabularnewline
269 & 7.85 & 10.036 & -2.18604 \tabularnewline
270 & 10.95 & 11.982 & -1.03199 \tabularnewline
271 & 12.35 & 14.6667 & -2.31666 \tabularnewline
272 & 9.95 & 8.16548 & 1.78452 \tabularnewline
273 & 14.9 & 11.9023 & 2.9977 \tabularnewline
274 & 16.65 & 17.1876 & -0.53759 \tabularnewline
275 & 13.4 & 12.6572 & 0.742821 \tabularnewline
276 & 13.95 & 9.86149 & 4.08851 \tabularnewline
277 & 15.7 & 12.4392 & 3.26078 \tabularnewline
278 & 16.85 & 19.6356 & -2.78557 \tabularnewline
279 & 10.95 & 7.9949 & 2.9551 \tabularnewline
280 & 15.35 & 16.7242 & -1.37422 \tabularnewline
281 & 12.2 & 9.24046 & 2.95954 \tabularnewline
282 & 15.1 & 10.4454 & 4.65458 \tabularnewline
283 & 17.75 & 15.4448 & 2.30524 \tabularnewline
284 & 15.2 & 13.9173 & 1.28271 \tabularnewline
285 & 14.6 & 10.9717 & 3.62827 \tabularnewline
286 & 16.65 & 21.3207 & -4.67069 \tabularnewline
287 & 8.1 & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265608&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]12.9[/C][C]13.0144[/C][C]-0.11436[/C][/ROW]
[ROW][C]2[/C][C]7.4[/C][C]13.2302[/C][C]-5.83023[/C][/ROW]
[ROW][C]3[/C][C]12.2[/C][C]12.641[/C][C]-0.440979[/C][/ROW]
[ROW][C]4[/C][C]12.8[/C][C]13.188[/C][C]-0.388014[/C][/ROW]
[ROW][C]5[/C][C]7.4[/C][C]12.3011[/C][C]-4.90115[/C][/ROW]
[ROW][C]6[/C][C]6.7[/C][C]12.0042[/C][C]-5.30419[/C][/ROW]
[ROW][C]7[/C][C]12.6[/C][C]11.8085[/C][C]0.791507[/C][/ROW]
[ROW][C]8[/C][C]14.8[/C][C]13.7139[/C][C]1.08611[/C][/ROW]
[ROW][C]9[/C][C]13.3[/C][C]13.2647[/C][C]0.0352939[/C][/ROW]
[ROW][C]10[/C][C]11.1[/C][C]12.3228[/C][C]-1.22283[/C][/ROW]
[ROW][C]11[/C][C]8.2[/C][C]12.8071[/C][C]-4.60712[/C][/ROW]
[ROW][C]12[/C][C]11.4[/C][C]13.2653[/C][C]-1.86529[/C][/ROW]
[ROW][C]13[/C][C]6.4[/C][C]12.5182[/C][C]-6.11817[/C][/ROW]
[ROW][C]14[/C][C]10.6[/C][C]12.6034[/C][C]-2.00339[/C][/ROW]
[ROW][C]15[/C][C]12[/C][C]12.7437[/C][C]-0.743689[/C][/ROW]
[ROW][C]16[/C][C]6.3[/C][C]12.6752[/C][C]-6.37525[/C][/ROW]
[ROW][C]17[/C][C]11.3[/C][C]12.7781[/C][C]-1.47806[/C][/ROW]
[ROW][C]18[/C][C]11.9[/C][C]12.9686[/C][C]-1.06861[/C][/ROW]
[ROW][C]19[/C][C]9.3[/C][C]12.2292[/C][C]-2.92918[/C][/ROW]
[ROW][C]20[/C][C]9.6[/C][C]12.2691[/C][C]-2.66908[/C][/ROW]
[ROW][C]21[/C][C]10[/C][C]12.0546[/C][C]-2.05457[/C][/ROW]
[ROW][C]22[/C][C]6.4[/C][C]13.0508[/C][C]-6.65079[/C][/ROW]
[ROW][C]23[/C][C]13.8[/C][C]12.4275[/C][C]1.37247[/C][/ROW]
[ROW][C]24[/C][C]10.8[/C][C]12.2559[/C][C]-1.45593[/C][/ROW]
[ROW][C]25[/C][C]13.8[/C][C]12.7336[/C][C]1.06643[/C][/ROW]
[ROW][C]26[/C][C]11.7[/C][C]13.7724[/C][C]-2.07236[/C][/ROW]
[ROW][C]27[/C][C]10.9[/C][C]12.3973[/C][C]-1.49729[/C][/ROW]
[ROW][C]28[/C][C]16.1[/C][C]12.4914[/C][C]3.60857[/C][/ROW]
[ROW][C]29[/C][C]13.4[/C][C]13.2503[/C][C]0.149707[/C][/ROW]
[ROW][C]30[/C][C]9.9[/C][C]13.7043[/C][C]-3.8043[/C][/ROW]
[ROW][C]31[/C][C]11.5[/C][C]13.4378[/C][C]-1.93779[/C][/ROW]
[ROW][C]32[/C][C]8.3[/C][C]12.3012[/C][C]-4.00124[/C][/ROW]
[ROW][C]33[/C][C]11.7[/C][C]12.0968[/C][C]-0.396789[/C][/ROW]
[ROW][C]34[/C][C]6.1[/C][C]13.2097[/C][C]-7.1097[/C][/ROW]
[ROW][C]35[/C][C]9[/C][C]13.3088[/C][C]-4.30877[/C][/ROW]
[ROW][C]36[/C][C]9.7[/C][C]13.3572[/C][C]-3.6572[/C][/ROW]
[ROW][C]37[/C][C]10.8[/C][C]13.6686[/C][C]-2.86856[/C][/ROW]
[ROW][C]38[/C][C]10.3[/C][C]14.2616[/C][C]-3.96164[/C][/ROW]
[ROW][C]39[/C][C]10.4[/C][C]12.6482[/C][C]-2.24822[/C][/ROW]
[ROW][C]40[/C][C]12.7[/C][C]12.7315[/C][C]-0.0315172[/C][/ROW]
[ROW][C]41[/C][C]9.3[/C][C]13.3863[/C][C]-4.08626[/C][/ROW]
[ROW][C]42[/C][C]11.8[/C][C]13.0954[/C][C]-1.29542[/C][/ROW]
[ROW][C]43[/C][C]5.9[/C][C]13.4025[/C][C]-7.50252[/C][/ROW]
[ROW][C]44[/C][C]11.4[/C][C]13.4383[/C][C]-2.03826[/C][/ROW]
[ROW][C]45[/C][C]13[/C][C]12.6778[/C][C]0.32223[/C][/ROW]
[ROW][C]46[/C][C]10.8[/C][C]13.7248[/C][C]-2.92483[/C][/ROW]
[ROW][C]47[/C][C]12.3[/C][C]13.1102[/C][C]-0.810164[/C][/ROW]
[ROW][C]48[/C][C]11.3[/C][C]13.4068[/C][C]-2.10679[/C][/ROW]
[ROW][C]49[/C][C]11.8[/C][C]11.924[/C][C]-0.124034[/C][/ROW]
[ROW][C]50[/C][C]7.9[/C][C]12.3533[/C][C]-4.45325[/C][/ROW]
[ROW][C]51[/C][C]12.7[/C][C]11.2879[/C][C]1.41206[/C][/ROW]
[ROW][C]52[/C][C]12.3[/C][C]13.4401[/C][C]-1.1401[/C][/ROW]
[ROW][C]53[/C][C]11.6[/C][C]13.9019[/C][C]-2.30185[/C][/ROW]
[ROW][C]54[/C][C]6.7[/C][C]12.4469[/C][C]-5.7469[/C][/ROW]
[ROW][C]55[/C][C]10.9[/C][C]13.6033[/C][C]-2.70328[/C][/ROW]
[ROW][C]56[/C][C]12.1[/C][C]12.2594[/C][C]-0.1594[/C][/ROW]
[ROW][C]57[/C][C]13.3[/C][C]12.7962[/C][C]0.503787[/C][/ROW]
[ROW][C]58[/C][C]10.1[/C][C]13.4805[/C][C]-3.38047[/C][/ROW]
[ROW][C]59[/C][C]5.7[/C][C]13.5327[/C][C]-7.8327[/C][/ROW]
[ROW][C]60[/C][C]14.3[/C][C]11.7167[/C][C]2.58331[/C][/ROW]
[ROW][C]61[/C][C]8[/C][C]12.6114[/C][C]-4.61143[/C][/ROW]
[ROW][C]62[/C][C]13.3[/C][C]12.8874[/C][C]0.412609[/C][/ROW]
[ROW][C]63[/C][C]9.3[/C][C]13.4653[/C][C]-4.16526[/C][/ROW]
[ROW][C]64[/C][C]12.5[/C][C]11.7613[/C][C]0.738674[/C][/ROW]
[ROW][C]65[/C][C]7.6[/C][C]14.0278[/C][C]-6.42776[/C][/ROW]
[ROW][C]66[/C][C]15.9[/C][C]13.4994[/C][C]2.40062[/C][/ROW]
[ROW][C]67[/C][C]9.2[/C][C]12.0968[/C][C]-2.89679[/C][/ROW]
[ROW][C]68[/C][C]9.1[/C][C]13.7818[/C][C]-4.68179[/C][/ROW]
[ROW][C]69[/C][C]11.1[/C][C]13.353[/C][C]-2.25303[/C][/ROW]
[ROW][C]70[/C][C]13[/C][C]13.4003[/C][C]-0.400312[/C][/ROW]
[ROW][C]71[/C][C]14.5[/C][C]14.0264[/C][C]0.473603[/C][/ROW]
[ROW][C]72[/C][C]12.2[/C][C]12.4481[/C][C]-0.248055[/C][/ROW]
[ROW][C]73[/C][C]12.3[/C][C]12.2981[/C][C]0.00185951[/C][/ROW]
[ROW][C]74[/C][C]11.4[/C][C]13.1081[/C][C]-1.70811[/C][/ROW]
[ROW][C]75[/C][C]8.8[/C][C]12.74[/C][C]-3.94005[/C][/ROW]
[ROW][C]76[/C][C]14.6[/C][C]13.1729[/C][C]1.42709[/C][/ROW]
[ROW][C]77[/C][C]7.3[/C][C]13.2302[/C][C]-5.93023[/C][/ROW]
[ROW][C]78[/C][C]12.6[/C][C]12.367[/C][C]0.233006[/C][/ROW]
[ROW][C]79[/C][C]NA[/C][C]NA[/C][C]0.758123[/C][/ROW]
[ROW][C]80[/C][C]13[/C][C]13.6925[/C][C]-0.692508[/C][/ROW]
[ROW][C]81[/C][C]12.6[/C][C]12.2694[/C][C]0.330566[/C][/ROW]
[ROW][C]82[/C][C]13.2[/C][C]15.7457[/C][C]-2.54572[/C][/ROW]
[ROW][C]83[/C][C]9.9[/C][C]14.2116[/C][C]-4.31157[/C][/ROW]
[ROW][C]84[/C][C]7.7[/C][C]9.68369[/C][C]-1.98369[/C][/ROW]
[ROW][C]85[/C][C]10.5[/C][C]9.29539[/C][C]1.20461[/C][/ROW]
[ROW][C]86[/C][C]13.4[/C][C]15.6524[/C][C]-2.25238[/C][/ROW]
[ROW][C]87[/C][C]10.9[/C][C]19.2356[/C][C]-8.33556[/C][/ROW]
[ROW][C]88[/C][C]4.3[/C][C]7.02908[/C][C]-2.72908[/C][/ROW]
[ROW][C]89[/C][C]10.3[/C][C]11.0266[/C][C]-0.726596[/C][/ROW]
[ROW][C]90[/C][C]11.8[/C][C]13.655[/C][C]-1.85498[/C][/ROW]
[ROW][C]91[/C][C]11.2[/C][C]13.3532[/C][C]-2.15323[/C][/ROW]
[ROW][C]92[/C][C]11.4[/C][C]16.223[/C][C]-4.82305[/C][/ROW]
[ROW][C]93[/C][C]8.6[/C][C]7.09858[/C][C]1.50142[/C][/ROW]
[ROW][C]94[/C][C]13.2[/C][C]13.8309[/C][C]-0.630919[/C][/ROW]
[ROW][C]95[/C][C]12.6[/C][C]19.8653[/C][C]-7.26527[/C][/ROW]
[ROW][C]96[/C][C]5.6[/C][C]7.43964[/C][C]-1.83964[/C][/ROW]
[ROW][C]97[/C][C]9.9[/C][C]13.8715[/C][C]-3.97152[/C][/ROW]
[ROW][C]98[/C][C]8.8[/C][C]12.9539[/C][C]-4.15392[/C][/ROW]
[ROW][C]99[/C][C]7.7[/C][C]10.318[/C][C]-2.61799[/C][/ROW]
[ROW][C]100[/C][C]9[/C][C]14.0187[/C][C]-5.01867[/C][/ROW]
[ROW][C]101[/C][C]7.3[/C][C]9.5365[/C][C]-2.2365[/C][/ROW]
[ROW][C]102[/C][C]11.4[/C][C]10.8586[/C][C]0.541371[/C][/ROW]
[ROW][C]103[/C][C]13.6[/C][C]18.9667[/C][C]-5.36666[/C][/ROW]
[ROW][C]104[/C][C]7.9[/C][C]10.4798[/C][C]-2.57981[/C][/ROW]
[ROW][C]105[/C][C]10.7[/C][C]14.2603[/C][C]-3.56033[/C][/ROW]
[ROW][C]106[/C][C]10.3[/C][C]13.8653[/C][C]-3.56535[/C][/ROW]
[ROW][C]107[/C][C]8.3[/C][C]10.8815[/C][C]-2.58155[/C][/ROW]
[ROW][C]108[/C][C]9.6[/C][C]7.63887[/C][C]1.96113[/C][/ROW]
[ROW][C]109[/C][C]14.2[/C][C]17.8524[/C][C]-3.65238[/C][/ROW]
[ROW][C]110[/C][C]8.5[/C][C]6.95412[/C][C]1.54588[/C][/ROW]
[ROW][C]111[/C][C]13.5[/C][C]22.0884[/C][C]-8.58841[/C][/ROW]
[ROW][C]112[/C][C]4.9[/C][C]11.358[/C][C]-6.45797[/C][/ROW]
[ROW][C]113[/C][C]6.4[/C][C]8.99781[/C][C]-2.59781[/C][/ROW]
[ROW][C]114[/C][C]9.6[/C][C]11.1081[/C][C]-1.50811[/C][/ROW]
[ROW][C]115[/C][C]11.6[/C][C]13.4959[/C][C]-1.89588[/C][/ROW]
[ROW][C]116[/C][C]11.1[/C][C]19.1412[/C][C]-8.0412[/C][/ROW]
[ROW][C]117[/C][C]4.35[/C][C]5.43225[/C][C]-1.08225[/C][/ROW]
[ROW][C]118[/C][C]12.7[/C][C]7.94939[/C][C]4.75061[/C][/ROW]
[ROW][C]119[/C][C]18.1[/C][C]14.5896[/C][C]3.5104[/C][/ROW]
[ROW][C]120[/C][C]17.85[/C][C]14.7486[/C][C]3.10142[/C][/ROW]
[ROW][C]121[/C][C]16.6[/C][C]16.3121[/C][C]0.28791[/C][/ROW]
[ROW][C]122[/C][C]12.6[/C][C]8.84635[/C][C]3.75365[/C][/ROW]
[ROW][C]123[/C][C]17.1[/C][C]11.8028[/C][C]5.29722[/C][/ROW]
[ROW][C]124[/C][C]19.1[/C][C]15.9432[/C][C]3.15681[/C][/ROW]
[ROW][C]125[/C][C]16.1[/C][C]15.0826[/C][C]1.01738[/C][/ROW]
[ROW][C]126[/C][C]13.35[/C][C]8.06016[/C][C]5.28984[/C][/ROW]
[ROW][C]127[/C][C]18.4[/C][C]17.1389[/C][C]1.26105[/C][/ROW]
[ROW][C]128[/C][C]14.7[/C][C]17.3612[/C][C]-2.66123[/C][/ROW]
[ROW][C]129[/C][C]10.6[/C][C]9.91977[/C][C]0.680234[/C][/ROW]
[ROW][C]130[/C][C]12.6[/C][C]8.40926[/C][C]4.19074[/C][/ROW]
[ROW][C]131[/C][C]16.2[/C][C]15.0264[/C][C]1.17363[/C][/ROW]
[ROW][C]132[/C][C]13.6[/C][C]7.61165[/C][C]5.98835[/C][/ROW]
[ROW][C]133[/C][C]18.9[/C][C]18.1089[/C][C]0.791128[/C][/ROW]
[ROW][C]134[/C][C]14.1[/C][C]13.8048[/C][C]0.295214[/C][/ROW]
[ROW][C]135[/C][C]14.5[/C][C]10.937[/C][C]3.56297[/C][/ROW]
[ROW][C]136[/C][C]16.15[/C][C]14.7603[/C][C]1.3897[/C][/ROW]
[ROW][C]137[/C][C]14.75[/C][C]13.1253[/C][C]1.6247[/C][/ROW]
[ROW][C]138[/C][C]14.8[/C][C]16.1618[/C][C]-1.36183[/C][/ROW]
[ROW][C]139[/C][C]12.45[/C][C]12.6611[/C][C]-0.211075[/C][/ROW]
[ROW][C]140[/C][C]12.65[/C][C]8.96797[/C][C]3.68203[/C][/ROW]
[ROW][C]141[/C][C]17.35[/C][C]22.3852[/C][C]-5.03524[/C][/ROW]
[ROW][C]142[/C][C]8.6[/C][C]3.25747[/C][C]5.34253[/C][/ROW]
[ROW][C]143[/C][C]18.4[/C][C]15.7726[/C][C]2.62737[/C][/ROW]
[ROW][C]144[/C][C]16.1[/C][C]18.2097[/C][C]-2.10972[/C][/ROW]
[ROW][C]145[/C][C]11.6[/C][C]6.98489[/C][C]4.61511[/C][/ROW]
[ROW][C]146[/C][C]17.75[/C][C]14.5305[/C][C]3.21955[/C][/ROW]
[ROW][C]147[/C][C]15.25[/C][C]11.0383[/C][C]4.21174[/C][/ROW]
[ROW][C]148[/C][C]17.65[/C][C]14.417[/C][C]3.23301[/C][/ROW]
[ROW][C]149[/C][C]15.6[/C][C]11.6412[/C][C]3.9588[/C][/ROW]
[ROW][C]150[/C][C]16.35[/C][C]11.8286[/C][C]4.52136[/C][/ROW]
[ROW][C]151[/C][C]17.65[/C][C]16.3192[/C][C]1.33084[/C][/ROW]
[ROW][C]152[/C][C]13.6[/C][C]14.3813[/C][C]-0.781274[/C][/ROW]
[ROW][C]153[/C][C]11.7[/C][C]9.97461[/C][C]1.72539[/C][/ROW]
[ROW][C]154[/C][C]14.35[/C][C]11.8032[/C][C]2.54679[/C][/ROW]
[ROW][C]155[/C][C]14.75[/C][C]10.5537[/C][C]4.19628[/C][/ROW]
[ROW][C]156[/C][C]18.25[/C][C]20.6664[/C][C]-2.41636[/C][/ROW]
[ROW][C]157[/C][C]9.9[/C][C]7.6561[/C][C]2.2439[/C][/ROW]
[ROW][C]158[/C][C]16[/C][C]11.0747[/C][C]4.92533[/C][/ROW]
[ROW][C]159[/C][C]18.25[/C][C]13.3887[/C][C]4.86127[/C][/ROW]
[ROW][C]160[/C][C]16.85[/C][C]16.0581[/C][C]0.791898[/C][/ROW]
[ROW][C]161[/C][C]14.6[/C][C]12.989[/C][C]1.61103[/C][/ROW]
[ROW][C]162[/C][C]13.85[/C][C]8.89676[/C][C]4.95324[/C][/ROW]
[ROW][C]163[/C][C]18.95[/C][C]16.3881[/C][C]2.5619[/C][/ROW]
[ROW][C]164[/C][C]15.6[/C][C]13.5963[/C][C]2.00367[/C][/ROW]
[ROW][C]165[/C][C]14.85[/C][C]16.7728[/C][C]-1.92283[/C][/ROW]
[ROW][C]166[/C][C]11.75[/C][C]6.79743[/C][C]4.95257[/C][/ROW]
[ROW][C]167[/C][C]18.45[/C][C]15.9479[/C][C]2.50211[/C][/ROW]
[ROW][C]168[/C][C]15.9[/C][C]12.7594[/C][C]3.1406[/C][/ROW]
[ROW][C]169[/C][C]17.1[/C][C]14.9019[/C][C]2.19815[/C][/ROW]
[ROW][C]170[/C][C]16.1[/C][C]10.2753[/C][C]5.8247[/C][/ROW]
[ROW][C]171[/C][C]19.9[/C][C]22.086[/C][C]-2.18604[/C][/ROW]
[ROW][C]172[/C][C]10.95[/C][C]5.50167[/C][C]5.44833[/C][/ROW]
[ROW][C]173[/C][C]18.45[/C][C]17.7887[/C][C]0.661335[/C][/ROW]
[ROW][C]174[/C][C]15.1[/C][C]13.6362[/C][C]1.46383[/C][/ROW]
[ROW][C]175[/C][C]15[/C][C]16.9329[/C][C]-1.93292[/C][/ROW]
[ROW][C]176[/C][C]11.35[/C][C]8.63138[/C][C]2.71862[/C][/ROW]
[ROW][C]177[/C][C]15.95[/C][C]10.5889[/C][C]5.36111[/C][/ROW]
[ROW][C]178[/C][C]18.1[/C][C]17.2161[/C][C]0.883905[/C][/ROW]
[ROW][C]179[/C][C]14.6[/C][C]12.7742[/C][C]1.82578[/C][/ROW]
[ROW][C]180[/C][C]15.4[/C][C]13.5742[/C][C]1.82578[/C][/ROW]
[ROW][C]181[/C][C]15.4[/C][C]10.5704[/C][C]4.82964[/C][/ROW]
[ROW][C]182[/C][C]17.6[/C][C]17.1195[/C][C]0.480463[/C][/ROW]
[ROW][C]183[/C][C]13.35[/C][C]6.05975[/C][C]7.29025[/C][/ROW]
[ROW][C]184[/C][C]19.1[/C][C]16.597[/C][C]2.50305[/C][/ROW]
[ROW][C]185[/C][C]15.35[/C][C]20.2507[/C][C]-4.90075[/C][/ROW]
[ROW][C]186[/C][C]7.6[/C][C]7.25125[/C][C]0.348746[/C][/ROW]
[ROW][C]187[/C][C]13.4[/C][C]12.0665[/C][C]1.3335[/C][/ROW]
[ROW][C]188[/C][C]13.9[/C][C]8.8384[/C][C]5.0616[/C][/ROW]
[ROW][C]189[/C][C]19.1[/C][C]16.1608[/C][C]2.93917[/C][/ROW]
[ROW][C]190[/C][C]15.25[/C][C]15.64[/C][C]-0.390016[/C][/ROW]
[ROW][C]191[/C][C]12.9[/C][C]9.88874[/C][C]3.01126[/C][/ROW]
[ROW][C]192[/C][C]16.1[/C][C]11.8387[/C][C]4.26126[/C][/ROW]
[ROW][C]193[/C][C]17.35[/C][C]17.2887[/C][C]0.061264[/C][/ROW]
[ROW][C]194[/C][C]13.15[/C][C]14.0682[/C][C]-0.918206[/C][/ROW]
[ROW][C]195[/C][C]12.15[/C][C]11.4804[/C][C]0.669593[/C][/ROW]
[ROW][C]196[/C][C]12.6[/C][C]15.3454[/C][C]-2.74542[/C][/ROW]
[ROW][C]197[/C][C]10.35[/C][C]8.2281[/C][C]2.1219[/C][/ROW]
[ROW][C]198[/C][C]15.4[/C][C]19.1325[/C][C]-3.7325[/C][/ROW]
[ROW][C]199[/C][C]9.6[/C][C]3.51338[/C][C]6.08662[/C][/ROW]
[ROW][C]200[/C][C]18.2[/C][C]17.0058[/C][C]1.19418[/C][/ROW]
[ROW][C]201[/C][C]13.6[/C][C]12.5182[/C][C]1.0818[/C][/ROW]
[ROW][C]202[/C][C]14.85[/C][C]12.7626[/C][C]2.08744[/C][/ROW]
[ROW][C]203[/C][C]14.75[/C][C]12.8315[/C][C]1.91848[/C][/ROW]
[ROW][C]204[/C][C]14.1[/C][C]11.6361[/C][C]2.46395[/C][/ROW]
[ROW][C]205[/C][C]14.9[/C][C]11.1356[/C][C]3.76436[/C][/ROW]
[ROW][C]206[/C][C]16.25[/C][C]9.94319[/C][C]6.30681[/C][/ROW]
[ROW][C]207[/C][C]19.25[/C][C]18.1561[/C][C]1.09393[/C][/ROW]
[ROW][C]208[/C][C]13.6[/C][C]12.3122[/C][C]1.28781[/C][/ROW]
[ROW][C]209[/C][C]13.6[/C][C]11.6995[/C][C]1.90048[/C][/ROW]
[ROW][C]210[/C][C]15.65[/C][C]16.2808[/C][C]-0.630834[/C][/ROW]
[ROW][C]211[/C][C]12.75[/C][C]11.7032[/C][C]1.04677[/C][/ROW]
[ROW][C]212[/C][C]14.6[/C][C]17.0816[/C][C]-2.48157[/C][/ROW]
[ROW][C]213[/C][C]9.85[/C][C]10.2737[/C][C]-0.423735[/C][/ROW]
[ROW][C]214[/C][C]12.65[/C][C]13.4199[/C][C]-0.769929[/C][/ROW]
[ROW][C]215[/C][C]11.9[/C][C]4.66886[/C][C]7.23114[/C][/ROW]
[ROW][C]216[/C][C]19.2[/C][C]15.892[/C][C]3.30803[/C][/ROW]
[ROW][C]217[/C][C]16.6[/C][C]18.9428[/C][C]-2.34275[/C][/ROW]
[ROW][C]218[/C][C]11.2[/C][C]8.87686[/C][C]2.32314[/C][/ROW]
[ROW][C]219[/C][C]15.25[/C][C]15.4464[/C][C]-0.196427[/C][/ROW]
[ROW][C]220[/C][C]11.9[/C][C]10.803[/C][C]1.09699[/C][/ROW]
[ROW][C]221[/C][C]13.2[/C][C]9.54411[/C][C]3.65589[/C][/ROW]
[ROW][C]222[/C][C]16.35[/C][C]15.4049[/C][C]0.94509[/C][/ROW]
[ROW][C]223[/C][C]12.4[/C][C]9.57662[/C][C]2.82338[/C][/ROW]
[ROW][C]224[/C][C]15.85[/C][C]14.3627[/C][C]1.48725[/C][/ROW]
[ROW][C]225[/C][C]14.35[/C][C]9.87224[/C][C]4.47776[/C][/ROW]
[ROW][C]226[/C][C]18.15[/C][C]19.937[/C][C]-1.78697[/C][/ROW]
[ROW][C]227[/C][C]11.15[/C][C]8.65343[/C][C]2.49657[/C][/ROW]
[ROW][C]228[/C][C]15.65[/C][C]10.0979[/C][C]5.55209[/C][/ROW]
[ROW][C]229[/C][C]17.75[/C][C]22.7337[/C][C]-4.98369[/C][/ROW]
[ROW][C]230[/C][C]7.65[/C][C]8.4171[/C][C]-0.767105[/C][/ROW]
[ROW][C]231[/C][C]12.35[/C][C]9.36848[/C][C]2.98152[/C][/ROW]
[ROW][C]232[/C][C]15.6[/C][C]10.5206[/C][C]5.07942[/C][/ROW]
[ROW][C]233[/C][C]19.3[/C][C]17.1217[/C][C]2.17827[/C][/ROW]
[ROW][C]234[/C][C]15.2[/C][C]11.1569[/C][C]4.04307[/C][/ROW]
[ROW][C]235[/C][C]17.1[/C][C]15.3035[/C][C]1.79653[/C][/ROW]
[ROW][C]236[/C][C]15.6[/C][C]10.6068[/C][C]4.99321[/C][/ROW]
[ROW][C]237[/C][C]18.4[/C][C]12.5798[/C][C]5.82024[/C][/ROW]
[ROW][C]238[/C][C]19.05[/C][C]12.551[/C][C]6.49902[/C][/ROW]
[ROW][C]239[/C][C]18.55[/C][C]12.5849[/C][C]5.96511[/C][/ROW]
[ROW][C]240[/C][C]19.1[/C][C]19.324[/C][C]-0.223979[/C][/ROW]
[ROW][C]241[/C][C]13.1[/C][C]13.7656[/C][C]-0.665643[/C][/ROW]
[ROW][C]242[/C][C]12.85[/C][C]15.401[/C][C]-2.55098[/C][/ROW]
[ROW][C]243[/C][C]9.5[/C][C]18.4595[/C][C]-8.95948[/C][/ROW]
[ROW][C]244[/C][C]4.5[/C][C]4.92646[/C][C]-0.426456[/C][/ROW]
[ROW][C]245[/C][C]11.85[/C][C]10.7755[/C][C]1.07446[/C][/ROW]
[ROW][C]246[/C][C]13.6[/C][C]13.9305[/C][C]-0.330451[/C][/ROW]
[ROW][C]247[/C][C]11.7[/C][C]11.9172[/C][C]-0.217238[/C][/ROW]
[ROW][C]248[/C][C]12.4[/C][C]12.374[/C][C]0.0260214[/C][/ROW]
[ROW][C]249[/C][C]13.35[/C][C]13.776[/C][C]-0.426016[/C][/ROW]
[ROW][C]250[/C][C]11.4[/C][C]9.61548[/C][C]1.78452[/C][/ROW]
[ROW][C]251[/C][C]14.9[/C][C]9.0753[/C][C]5.8247[/C][/ROW]
[ROW][C]252[/C][C]19.9[/C][C]15.9535[/C][C]3.94653[/C][/ROW]
[ROW][C]253[/C][C]17.75[/C][C]19.5106[/C][C]-1.76061[/C][/ROW]
[ROW][C]254[/C][C]11.2[/C][C]9.25724[/C][C]1.94276[/C][/ROW]
[ROW][C]255[/C][C]14.6[/C][C]9.6773[/C][C]4.9227[/C][/ROW]
[ROW][C]256[/C][C]17.6[/C][C]16.6177[/C][C]0.982322[/C][/ROW]
[ROW][C]257[/C][C]14.05[/C][C]10.2258[/C][C]3.82424[/C][/ROW]
[ROW][C]258[/C][C]16.1[/C][C]15.4998[/C][C]0.600166[/C][/ROW]
[ROW][C]259[/C][C]13.35[/C][C]13.682[/C][C]-0.332015[/C][/ROW]
[ROW][C]260[/C][C]11.85[/C][C]13.1429[/C][C]-1.29292[/C][/ROW]
[ROW][C]261[/C][C]11.95[/C][C]10.9677[/C][C]0.982267[/C][/ROW]
[ROW][C]262[/C][C]14.75[/C][C]11.7544[/C][C]2.99556[/C][/ROW]
[ROW][C]263[/C][C]15.15[/C][C]15.2957[/C][C]-0.145663[/C][/ROW]
[ROW][C]264[/C][C]13.2[/C][C]9.71146[/C][C]3.48854[/C][/ROW]
[ROW][C]265[/C][C]16.85[/C][C]22.3917[/C][C]-5.54167[/C][/ROW]
[ROW][C]266[/C][C]7.85[/C][C]13.3893[/C][C]-5.53928[/C][/ROW]
[ROW][C]267[/C][C]7.7[/C][C]7.66302[/C][C]0.0369751[/C][/ROW]
[ROW][C]268[/C][C]12.6[/C][C]16.535[/C][C]-3.93496[/C][/ROW]
[ROW][C]269[/C][C]7.85[/C][C]10.036[/C][C]-2.18604[/C][/ROW]
[ROW][C]270[/C][C]10.95[/C][C]11.982[/C][C]-1.03199[/C][/ROW]
[ROW][C]271[/C][C]12.35[/C][C]14.6667[/C][C]-2.31666[/C][/ROW]
[ROW][C]272[/C][C]9.95[/C][C]8.16548[/C][C]1.78452[/C][/ROW]
[ROW][C]273[/C][C]14.9[/C][C]11.9023[/C][C]2.9977[/C][/ROW]
[ROW][C]274[/C][C]16.65[/C][C]17.1876[/C][C]-0.53759[/C][/ROW]
[ROW][C]275[/C][C]13.4[/C][C]12.6572[/C][C]0.742821[/C][/ROW]
[ROW][C]276[/C][C]13.95[/C][C]9.86149[/C][C]4.08851[/C][/ROW]
[ROW][C]277[/C][C]15.7[/C][C]12.4392[/C][C]3.26078[/C][/ROW]
[ROW][C]278[/C][C]16.85[/C][C]19.6356[/C][C]-2.78557[/C][/ROW]
[ROW][C]279[/C][C]10.95[/C][C]7.9949[/C][C]2.9551[/C][/ROW]
[ROW][C]280[/C][C]15.35[/C][C]16.7242[/C][C]-1.37422[/C][/ROW]
[ROW][C]281[/C][C]12.2[/C][C]9.24046[/C][C]2.95954[/C][/ROW]
[ROW][C]282[/C][C]15.1[/C][C]10.4454[/C][C]4.65458[/C][/ROW]
[ROW][C]283[/C][C]17.75[/C][C]15.4448[/C][C]2.30524[/C][/ROW]
[ROW][C]284[/C][C]15.2[/C][C]13.9173[/C][C]1.28271[/C][/ROW]
[ROW][C]285[/C][C]14.6[/C][C]10.9717[/C][C]3.62827[/C][/ROW]
[ROW][C]286[/C][C]16.65[/C][C]21.3207[/C][C]-4.67069[/C][/ROW]
[ROW][C]287[/C][C]8.1[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265608&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265608&T=4

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	12.9	13.0144	-0.11436
2	7.4	13.2302	-5.83023
3	12.2	12.641	-0.440979
4	12.8	13.188	-0.388014
5	7.4	12.3011	-4.90115
6	6.7	12.0042	-5.30419
7	12.6	11.8085	0.791507
8	14.8	13.7139	1.08611
9	13.3	13.2647	0.0352939
10	11.1	12.3228	-1.22283
11	8.2	12.8071	-4.60712
12	11.4	13.2653	-1.86529
13	6.4	12.5182	-6.11817
14	10.6	12.6034	-2.00339
15	12	12.7437	-0.743689
16	6.3	12.6752	-6.37525
17	11.3	12.7781	-1.47806
18	11.9	12.9686	-1.06861
19	9.3	12.2292	-2.92918
20	9.6	12.2691	-2.66908
21	10	12.0546	-2.05457
22	6.4	13.0508	-6.65079
23	13.8	12.4275	1.37247
24	10.8	12.2559	-1.45593
25	13.8	12.7336	1.06643
26	11.7	13.7724	-2.07236
27	10.9	12.3973	-1.49729
28	16.1	12.4914	3.60857
29	13.4	13.2503	0.149707
30	9.9	13.7043	-3.8043
31	11.5	13.4378	-1.93779
32	8.3	12.3012	-4.00124
33	11.7	12.0968	-0.396789
34	6.1	13.2097	-7.1097
35	9	13.3088	-4.30877
36	9.7	13.3572	-3.6572
37	10.8	13.6686	-2.86856
38	10.3	14.2616	-3.96164
39	10.4	12.6482	-2.24822
40	12.7	12.7315	-0.0315172
41	9.3	13.3863	-4.08626
42	11.8	13.0954	-1.29542
43	5.9	13.4025	-7.50252
44	11.4	13.4383	-2.03826
45	13	12.6778	0.32223
46	10.8	13.7248	-2.92483
47	12.3	13.1102	-0.810164
48	11.3	13.4068	-2.10679
49	11.8	11.924	-0.124034
50	7.9	12.3533	-4.45325
51	12.7	11.2879	1.41206
52	12.3	13.4401	-1.1401
53	11.6	13.9019	-2.30185
54	6.7	12.4469	-5.7469
55	10.9	13.6033	-2.70328
56	12.1	12.2594	-0.1594
57	13.3	12.7962	0.503787
58	10.1	13.4805	-3.38047
59	5.7	13.5327	-7.8327
60	14.3	11.7167	2.58331
61	8	12.6114	-4.61143
62	13.3	12.8874	0.412609
63	9.3	13.4653	-4.16526
64	12.5	11.7613	0.738674
65	7.6	14.0278	-6.42776
66	15.9	13.4994	2.40062
67	9.2	12.0968	-2.89679
68	9.1	13.7818	-4.68179
69	11.1	13.353	-2.25303
70	13	13.4003	-0.400312
71	14.5	14.0264	0.473603
72	12.2	12.4481	-0.248055
73	12.3	12.2981	0.00185951
74	11.4	13.1081	-1.70811
75	8.8	12.74	-3.94005
76	14.6	13.1729	1.42709
77	7.3	13.2302	-5.93023
78	12.6	12.367	0.233006
79	NA	NA	0.758123
80	13	13.6925	-0.692508
81	12.6	12.2694	0.330566
82	13.2	15.7457	-2.54572
83	9.9	14.2116	-4.31157
84	7.7	9.68369	-1.98369
85	10.5	9.29539	1.20461
86	13.4	15.6524	-2.25238
87	10.9	19.2356	-8.33556
88	4.3	7.02908	-2.72908
89	10.3	11.0266	-0.726596
90	11.8	13.655	-1.85498
91	11.2	13.3532	-2.15323
92	11.4	16.223	-4.82305
93	8.6	7.09858	1.50142
94	13.2	13.8309	-0.630919
95	12.6	19.8653	-7.26527
96	5.6	7.43964	-1.83964
97	9.9	13.8715	-3.97152
98	8.8	12.9539	-4.15392
99	7.7	10.318	-2.61799
100	9	14.0187	-5.01867
101	7.3	9.5365	-2.2365
102	11.4	10.8586	0.541371
103	13.6	18.9667	-5.36666
104	7.9	10.4798	-2.57981
105	10.7	14.2603	-3.56033
106	10.3	13.8653	-3.56535
107	8.3	10.8815	-2.58155
108	9.6	7.63887	1.96113
109	14.2	17.8524	-3.65238
110	8.5	6.95412	1.54588
111	13.5	22.0884	-8.58841
112	4.9	11.358	-6.45797
113	6.4	8.99781	-2.59781
114	9.6	11.1081	-1.50811
115	11.6	13.4959	-1.89588
116	11.1	19.1412	-8.0412
117	4.35	5.43225	-1.08225
118	12.7	7.94939	4.75061
119	18.1	14.5896	3.5104
120	17.85	14.7486	3.10142
121	16.6	16.3121	0.28791
122	12.6	8.84635	3.75365
123	17.1	11.8028	5.29722
124	19.1	15.9432	3.15681
125	16.1	15.0826	1.01738
126	13.35	8.06016	5.28984
127	18.4	17.1389	1.26105
128	14.7	17.3612	-2.66123
129	10.6	9.91977	0.680234
130	12.6	8.40926	4.19074
131	16.2	15.0264	1.17363
132	13.6	7.61165	5.98835
133	18.9	18.1089	0.791128
134	14.1	13.8048	0.295214
135	14.5	10.937	3.56297
136	16.15	14.7603	1.3897
137	14.75	13.1253	1.6247
138	14.8	16.1618	-1.36183
139	12.45	12.6611	-0.211075
140	12.65	8.96797	3.68203
141	17.35	22.3852	-5.03524
142	8.6	3.25747	5.34253
143	18.4	15.7726	2.62737
144	16.1	18.2097	-2.10972
145	11.6	6.98489	4.61511
146	17.75	14.5305	3.21955
147	15.25	11.0383	4.21174
148	17.65	14.417	3.23301
149	15.6	11.6412	3.9588
150	16.35	11.8286	4.52136
151	17.65	16.3192	1.33084
152	13.6	14.3813	-0.781274
153	11.7	9.97461	1.72539
154	14.35	11.8032	2.54679
155	14.75	10.5537	4.19628
156	18.25	20.6664	-2.41636
157	9.9	7.6561	2.2439
158	16	11.0747	4.92533
159	18.25	13.3887	4.86127
160	16.85	16.0581	0.791898
161	14.6	12.989	1.61103
162	13.85	8.89676	4.95324
163	18.95	16.3881	2.5619
164	15.6	13.5963	2.00367
165	14.85	16.7728	-1.92283
166	11.75	6.79743	4.95257
167	18.45	15.9479	2.50211
168	15.9	12.7594	3.1406
169	17.1	14.9019	2.19815
170	16.1	10.2753	5.8247
171	19.9	22.086	-2.18604
172	10.95	5.50167	5.44833
173	18.45	17.7887	0.661335
174	15.1	13.6362	1.46383
175	15	16.9329	-1.93292
176	11.35	8.63138	2.71862
177	15.95	10.5889	5.36111
178	18.1	17.2161	0.883905
179	14.6	12.7742	1.82578
180	15.4	13.5742	1.82578
181	15.4	10.5704	4.82964
182	17.6	17.1195	0.480463
183	13.35	6.05975	7.29025
184	19.1	16.597	2.50305
185	15.35	20.2507	-4.90075
186	7.6	7.25125	0.348746
187	13.4	12.0665	1.3335
188	13.9	8.8384	5.0616
189	19.1	16.1608	2.93917
190	15.25	15.64	-0.390016
191	12.9	9.88874	3.01126
192	16.1	11.8387	4.26126
193	17.35	17.2887	0.061264
194	13.15	14.0682	-0.918206
195	12.15	11.4804	0.669593
196	12.6	15.3454	-2.74542
197	10.35	8.2281	2.1219
198	15.4	19.1325	-3.7325
199	9.6	3.51338	6.08662
200	18.2	17.0058	1.19418
201	13.6	12.5182	1.0818
202	14.85	12.7626	2.08744
203	14.75	12.8315	1.91848
204	14.1	11.6361	2.46395
205	14.9	11.1356	3.76436
206	16.25	9.94319	6.30681
207	19.25	18.1561	1.09393
208	13.6	12.3122	1.28781
209	13.6	11.6995	1.90048
210	15.65	16.2808	-0.630834
211	12.75	11.7032	1.04677
212	14.6	17.0816	-2.48157
213	9.85	10.2737	-0.423735
214	12.65	13.4199	-0.769929
215	11.9	4.66886	7.23114
216	19.2	15.892	3.30803
217	16.6	18.9428	-2.34275
218	11.2	8.87686	2.32314
219	15.25	15.4464	-0.196427
220	11.9	10.803	1.09699
221	13.2	9.54411	3.65589
222	16.35	15.4049	0.94509
223	12.4	9.57662	2.82338
224	15.85	14.3627	1.48725
225	14.35	9.87224	4.47776
226	18.15	19.937	-1.78697
227	11.15	8.65343	2.49657
228	15.65	10.0979	5.55209
229	17.75	22.7337	-4.98369
230	7.65	8.4171	-0.767105
231	12.35	9.36848	2.98152
232	15.6	10.5206	5.07942
233	19.3	17.1217	2.17827
234	15.2	11.1569	4.04307
235	17.1	15.3035	1.79653
236	15.6	10.6068	4.99321
237	18.4	12.5798	5.82024
238	19.05	12.551	6.49902
239	18.55	12.5849	5.96511
240	19.1	19.324	-0.223979
241	13.1	13.7656	-0.665643
242	12.85	15.401	-2.55098
243	9.5	18.4595	-8.95948
244	4.5	4.92646	-0.426456
245	11.85	10.7755	1.07446
246	13.6	13.9305	-0.330451
247	11.7	11.9172	-0.217238
248	12.4	12.374	0.0260214
249	13.35	13.776	-0.426016
250	11.4	9.61548	1.78452
251	14.9	9.0753	5.8247
252	19.9	15.9535	3.94653
253	17.75	19.5106	-1.76061
254	11.2	9.25724	1.94276
255	14.6	9.6773	4.9227
256	17.6	16.6177	0.982322
257	14.05	10.2258	3.82424
258	16.1	15.4998	0.600166
259	13.35	13.682	-0.332015
260	11.85	13.1429	-1.29292
261	11.95	10.9677	0.982267
262	14.75	11.7544	2.99556
263	15.15	15.2957	-0.145663
264	13.2	9.71146	3.48854
265	16.85	22.3917	-5.54167
266	7.85	13.3893	-5.53928
267	7.7	7.66302	0.0369751
268	12.6	16.535	-3.93496
269	7.85	10.036	-2.18604
270	10.95	11.982	-1.03199
271	12.35	14.6667	-2.31666
272	9.95	8.16548	1.78452
273	14.9	11.9023	2.9977
274	16.65	17.1876	-0.53759
275	13.4	12.6572	0.742821
276	13.95	9.86149	4.08851
277	15.7	12.4392	3.26078
278	16.85	19.6356	-2.78557
279	10.95	7.9949	2.9551
280	15.35	16.7242	-1.37422
281	12.2	9.24046	2.95954
282	15.1	10.4454	4.65458
283	17.75	15.4448	2.30524
284	15.2	13.9173	1.28271
285	14.6	10.9717	3.62827
286	16.65	21.3207	-4.67069
287	8.1	NA	NA

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
10	0.412157	0.824314	0.587843
11	0.424039	0.848078	0.575961
12	0.295488	0.590976	0.704512
13	0.536068	0.927865	0.463932
14	0.425687	0.851373	0.574313
15	0.326483	0.652966	0.673517
16	0.395636	0.791273	0.604364
17	0.314161	0.628321	0.685839
18	0.241919	0.483837	0.758081
19	0.198078	0.396156	0.801922
20	0.143098	0.286197	0.856902
21	0.100484	0.200969	0.899516
22	0.166614	0.333228	0.833386
23	0.216188	0.432376	0.783812
24	0.174071	0.348141	0.825929
25	0.150001	0.300001	0.849999
26	0.117233	0.234467	0.882767
27	0.0995283	0.199057	0.900472
28	0.174262	0.348525	0.825738
29	0.148006	0.296012	0.851994
30	0.141641	0.283281	0.858359
31	0.109555	0.219111	0.890445
32	0.0917408	0.183482	0.908259
33	0.0707328	0.141466	0.929267
34	0.133672	0.267343	0.866328
35	0.118111	0.236222	0.881889
36	0.102345	0.20469	0.897655
37	0.0804602	0.16092	0.91954
38	0.0647546	0.129509	0.935245
39	0.0529385	0.105877	0.947061
40	0.0450072	0.0900143	0.954993
41	0.0382872	0.0765744	0.961713
42	0.0293364	0.0586729	0.970664
43	0.0487301	0.0974602	0.95127
44	0.0373393	0.0746786	0.962661
45	0.0324482	0.0648964	0.967552
46	0.025046	0.050092	0.974954
47	0.0206835	0.0413669	0.979317
48	0.0154547	0.0309093	0.984545
49	0.0112871	0.0225742	0.988713
50	0.0127703	0.0255405	0.98723
51	0.0105137	0.0210274	0.989486
52	0.00837685	0.0167537	0.991623
53	0.0062505	0.012501	0.99375
54	0.00777497	0.0155499	0.992225
55	0.00580355	0.0116071	0.994196
56	0.00461617	0.00923233	0.995384
57	0.00481942	0.00963883	0.995181
58	0.0038365	0.007673	0.996164
59	0.00841933	0.0168387	0.991581
60	0.0101372	0.0202743	0.989863
61	0.00904413	0.0180883	0.990956
62	0.00774492	0.0154898	0.992255
63	0.00703608	0.0140722	0.992964
64	0.00556611	0.0111322	0.994434
65	0.00603268	0.0120654	0.993967
66	0.0095959	0.0191918	0.990404
67	0.00841415	0.0168283	0.991586
68	0.00792437	0.0158487	0.992076
69	0.00635639	0.0127128	0.993644
70	0.00528401	0.010568	0.994716
71	0.00782352	0.015647	0.992176
72	0.00658259	0.0131652	0.993417
73	0.00516717	0.0103343	0.994833
74	0.00397741	0.00795481	0.996023
75	0.00382843	0.00765686	0.996172
76	0.00435609	0.00871219	0.995644
77	0.00640119	0.0128024	0.993599
78	0.00515808	0.0103162	0.994842
79	0.00392285	0.0078457	0.996077
80	0.00307436	0.00614872	0.996926
81	0.00263851	0.00527702	0.997361
82	0.00205373	0.00410746	0.997946
83	0.00212898	0.00425795	0.997871
84	0.00162379	0.00324758	0.998376
85	0.00139832	0.00279664	0.998602
86	0.0010957	0.00219141	0.998904
87	0.00423631	0.00847263	0.995764
88	0.00347929	0.00695859	0.996521
89	0.00268839	0.00537679	0.997312
90	0.00210655	0.0042131	0.997893
91	0.00173092	0.00346185	0.998269
92	0.00193058	0.00386117	0.998069
93	0.00208973	0.00417947	0.99791
94	0.00182807	0.00365614	0.998172
95	0.00372749	0.00745498	0.996273
96	0.00297245	0.00594489	0.997028
97	0.00283908	0.00567816	0.997161
98	0.00318552	0.00637103	0.996814
99	0.00291615	0.0058323	0.997084
100	0.00423332	0.00846663	0.995767
101	0.00352386	0.00704772	0.996476
102	0.00344931	0.00689862	0.996551
103	0.00440283	0.00880565	0.995597
104	0.00386225	0.00772449	0.996138
105	0.00369669	0.00739337	0.996303
106	0.00450863	0.00901727	0.995491
107	0.00400956	0.00801911	0.99599
108	0.00413451	0.00826902	0.995865
109	0.00458173	0.00916346	0.995418
110	0.00499898	0.00999796	0.995001
111	0.0186926	0.0373852	0.981307
112	0.037511	0.0750221	0.962489
113	0.0345581	0.0691163	0.965442
114	0.0312862	0.0625723	0.968714
115	0.02991	0.0598201	0.97009
116	0.0793642	0.158728	0.920636
117	0.0800388	0.160078	0.919961
118	0.150525	0.30105	0.849475
119	0.206701	0.413402	0.793299
120	0.260739	0.521478	0.739261
121	0.24787	0.49574	0.75213
122	0.305416	0.610832	0.694584
123	0.427361	0.854723	0.572639
124	0.459803	0.919605	0.540197
125	0.445588	0.891176	0.554412
126	0.577291	0.845418	0.422709
127	0.570419	0.859161	0.429581
128	0.569766	0.860469	0.430234
129	0.551761	0.896477	0.448239
130	0.586866	0.826268	0.413134
131	0.571245	0.857511	0.428755
132	0.677321	0.645359	0.322679
133	0.65754	0.68492	0.34246
134	0.637471	0.725058	0.362529
135	0.648943	0.702113	0.351057
136	0.641367	0.717266	0.358633
137	0.646481	0.707038	0.353519
138	0.622182	0.755636	0.377818
139	0.608007	0.783986	0.391993
140	0.633532	0.732936	0.366468
141	0.694298	0.611404	0.305702
142	0.75492	0.490161	0.24508
143	0.753479	0.493042	0.246521
144	0.745976	0.508047	0.254024
145	0.774654	0.450692	0.225346
146	0.784953	0.430094	0.215047
147	0.805744	0.388512	0.194256
148	0.80849	0.38302	0.19151
149	0.821914	0.356172	0.178086
150	0.845763	0.308475	0.154237
151	0.832693	0.334614	0.167307
152	0.815475	0.369051	0.184525
153	0.799851	0.400298	0.200149
154	0.792602	0.414796	0.207398
155	0.810531	0.378939	0.189469
156	0.808738	0.382524	0.191262
157	0.798044	0.403912	0.201956
158	0.834362	0.331276	0.165638
159	0.855636	0.288729	0.144364
160	0.83676	0.326479	0.16324
161	0.818441	0.363118	0.181559
162	0.847449	0.305101	0.152551
163	0.840533	0.318934	0.159467
164	0.829893	0.340214	0.170107
165	0.825432	0.349136	0.174568
166	0.853187	0.293627	0.146813
167	0.846177	0.307645	0.153823
168	0.843968	0.312063	0.156032
169	0.830074	0.339852	0.169926
170	0.871032	0.257936	0.128968
171	0.863622	0.272755	0.136378
172	0.892321	0.215359	0.107679
173	0.87538	0.249241	0.12462
174	0.859453	0.281093	0.140547
175	0.853767	0.292467	0.146233
176	0.846505	0.306989	0.153495
177	0.871753	0.256494	0.128247
178	0.852841	0.294318	0.147159
179	0.836372	0.327255	0.163628
180	0.818841	0.362318	0.181159
181	0.835738	0.328525	0.164262
182	0.813006	0.373988	0.186994
183	0.890603	0.218794	0.109397
184	0.88263	0.23474	0.11737
185	0.920849	0.158302	0.0791512
186	0.906512	0.186977	0.0934883
187	0.891913	0.216174	0.108087
188	0.906413	0.187173	0.0935867
189	0.902005	0.19599	0.0979951
190	0.88509	0.22982	0.11491
191	0.878501	0.242997	0.121499
192	0.886797	0.226407	0.113203
193	0.868049	0.263902	0.131951
194	0.852855	0.29429	0.147145
195	0.831049	0.337903	0.168951
196	0.832979	0.334043	0.167021
197	0.819655	0.36069	0.180345
198	0.853411	0.293177	0.146589
199	0.887786	0.224428	0.112214
200	0.874823	0.250354	0.125177
201	0.855128	0.289745	0.144872
202	0.840705	0.31859	0.159295
203	0.823427	0.353146	0.176573
204	0.804977	0.390045	0.195023
205	0.802473	0.395053	0.197527
206	0.859754	0.280492	0.140246
207	0.837819	0.324361	0.162181
208	0.814374	0.371252	0.185626
209	0.791195	0.417611	0.208805
210	0.776896	0.446207	0.223104
211	0.748193	0.503614	0.251807
212	0.747758	0.504484	0.252242
213	0.724719	0.550562	0.275281
214	0.701171	0.597657	0.298829
215	0.764803	0.470394	0.235197
216	0.747929	0.504142	0.252071
217	0.727765	0.544471	0.272235
218	0.702063	0.595873	0.297937
219	0.66641	0.667179	0.33359
220	0.628788	0.742425	0.371212
221	0.625387	0.749227	0.374613
222	0.586935	0.82613	0.413065
223	0.563718	0.872564	0.436282
224	0.523962	0.952076	0.476038
225	0.544284	0.911432	0.455716
226	0.509537	0.980927	0.490463
227	0.482405	0.964811	0.517595
228	0.536543	0.926914	0.463457
229	0.685921	0.628159	0.314079
230	0.645412	0.709175	0.354588
231	0.611183	0.777635	0.388817
232	0.595131	0.809739	0.404869
233	0.561433	0.877134	0.438567
234	0.532841	0.934319	0.467159
235	0.490709	0.981418	0.509291
236	0.549948	0.900104	0.450052
237	0.595442	0.809116	0.404558
238	0.71161	0.57678	0.28839
239	0.775837	0.448326	0.224163
240	0.738849	0.522302	0.261151
241	0.705441	0.589119	0.294559
242	0.681335	0.63733	0.318665
243	0.933003	0.133994	0.066997
244	0.916024	0.167952	0.083976
245	0.893979	0.212043	0.106021
246	0.868871	0.262257	0.131129
247	0.83744	0.325119	0.16256
248	0.804825	0.39035	0.195175
249	0.767192	0.465616	0.232808
250	0.722917	0.554166	0.277083
251	0.832425	0.335151	0.167575
252	0.831634	0.336732	0.168366
253	0.816357	0.367287	0.183643
254	0.777764	0.444471	0.222236
255	0.78111	0.437779	0.21889
256	0.746939	0.506121	0.253061
257	0.774818	0.450363	0.225182
258	0.728743	0.542514	0.271257
259	0.675566	0.648869	0.324434
260	0.639754	0.720492	0.360246
261	0.573051	0.853899	0.426949
262	0.536289	0.927421	0.463711
263	0.473745	0.947489	0.526255
264	0.419109	0.838218	0.580891
265	0.729396	0.541208	0.270604
266	0.738781	0.522439	0.261219
267	0.681362	0.637275	0.318638
268	0.853048	0.293904	0.146952
269	0.858925	0.28215	0.141075
270	0.917177	0.165645	0.0828225
271	0.875983	0.248034	0.124017
272	0.843112	0.313777	0.156888
273	0.757671	0.484657	0.242329
274	0.640153	0.719695	0.359847
275	0.493975	0.98795	0.506025
276	0.344626	0.689253	0.655374
277	0.906899	0.186203	0.0931015

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
10 & 0.412157 & 0.824314 & 0.587843 \tabularnewline
11 & 0.424039 & 0.848078 & 0.575961 \tabularnewline
12 & 0.295488 & 0.590976 & 0.704512 \tabularnewline
13 & 0.536068 & 0.927865 & 0.463932 \tabularnewline
14 & 0.425687 & 0.851373 & 0.574313 \tabularnewline
15 & 0.326483 & 0.652966 & 0.673517 \tabularnewline
16 & 0.395636 & 0.791273 & 0.604364 \tabularnewline
17 & 0.314161 & 0.628321 & 0.685839 \tabularnewline
18 & 0.241919 & 0.483837 & 0.758081 \tabularnewline
19 & 0.198078 & 0.396156 & 0.801922 \tabularnewline
20 & 0.143098 & 0.286197 & 0.856902 \tabularnewline
21 & 0.100484 & 0.200969 & 0.899516 \tabularnewline
22 & 0.166614 & 0.333228 & 0.833386 \tabularnewline
23 & 0.216188 & 0.432376 & 0.783812 \tabularnewline
24 & 0.174071 & 0.348141 & 0.825929 \tabularnewline
25 & 0.150001 & 0.300001 & 0.849999 \tabularnewline
26 & 0.117233 & 0.234467 & 0.882767 \tabularnewline
27 & 0.0995283 & 0.199057 & 0.900472 \tabularnewline
28 & 0.174262 & 0.348525 & 0.825738 \tabularnewline
29 & 0.148006 & 0.296012 & 0.851994 \tabularnewline
30 & 0.141641 & 0.283281 & 0.858359 \tabularnewline
31 & 0.109555 & 0.219111 & 0.890445 \tabularnewline
32 & 0.0917408 & 0.183482 & 0.908259 \tabularnewline
33 & 0.0707328 & 0.141466 & 0.929267 \tabularnewline
34 & 0.133672 & 0.267343 & 0.866328 \tabularnewline
35 & 0.118111 & 0.236222 & 0.881889 \tabularnewline
36 & 0.102345 & 0.20469 & 0.897655 \tabularnewline
37 & 0.0804602 & 0.16092 & 0.91954 \tabularnewline
38 & 0.0647546 & 0.129509 & 0.935245 \tabularnewline
39 & 0.0529385 & 0.105877 & 0.947061 \tabularnewline
40 & 0.0450072 & 0.0900143 & 0.954993 \tabularnewline
41 & 0.0382872 & 0.0765744 & 0.961713 \tabularnewline
42 & 0.0293364 & 0.0586729 & 0.970664 \tabularnewline
43 & 0.0487301 & 0.0974602 & 0.95127 \tabularnewline
44 & 0.0373393 & 0.0746786 & 0.962661 \tabularnewline
45 & 0.0324482 & 0.0648964 & 0.967552 \tabularnewline
46 & 0.025046 & 0.050092 & 0.974954 \tabularnewline
47 & 0.0206835 & 0.0413669 & 0.979317 \tabularnewline
48 & 0.0154547 & 0.0309093 & 0.984545 \tabularnewline
49 & 0.0112871 & 0.0225742 & 0.988713 \tabularnewline
50 & 0.0127703 & 0.0255405 & 0.98723 \tabularnewline
51 & 0.0105137 & 0.0210274 & 0.989486 \tabularnewline
52 & 0.00837685 & 0.0167537 & 0.991623 \tabularnewline
53 & 0.0062505 & 0.012501 & 0.99375 \tabularnewline
54 & 0.00777497 & 0.0155499 & 0.992225 \tabularnewline
55 & 0.00580355 & 0.0116071 & 0.994196 \tabularnewline
56 & 0.00461617 & 0.00923233 & 0.995384 \tabularnewline
57 & 0.00481942 & 0.00963883 & 0.995181 \tabularnewline
58 & 0.0038365 & 0.007673 & 0.996164 \tabularnewline
59 & 0.00841933 & 0.0168387 & 0.991581 \tabularnewline
60 & 0.0101372 & 0.0202743 & 0.989863 \tabularnewline
61 & 0.00904413 & 0.0180883 & 0.990956 \tabularnewline
62 & 0.00774492 & 0.0154898 & 0.992255 \tabularnewline
63 & 0.00703608 & 0.0140722 & 0.992964 \tabularnewline
64 & 0.00556611 & 0.0111322 & 0.994434 \tabularnewline
65 & 0.00603268 & 0.0120654 & 0.993967 \tabularnewline
66 & 0.0095959 & 0.0191918 & 0.990404 \tabularnewline
67 & 0.00841415 & 0.0168283 & 0.991586 \tabularnewline
68 & 0.00792437 & 0.0158487 & 0.992076 \tabularnewline
69 & 0.00635639 & 0.0127128 & 0.993644 \tabularnewline
70 & 0.00528401 & 0.010568 & 0.994716 \tabularnewline
71 & 0.00782352 & 0.015647 & 0.992176 \tabularnewline
72 & 0.00658259 & 0.0131652 & 0.993417 \tabularnewline
73 & 0.00516717 & 0.0103343 & 0.994833 \tabularnewline
74 & 0.00397741 & 0.00795481 & 0.996023 \tabularnewline
75 & 0.00382843 & 0.00765686 & 0.996172 \tabularnewline
76 & 0.00435609 & 0.00871219 & 0.995644 \tabularnewline
77 & 0.00640119 & 0.0128024 & 0.993599 \tabularnewline
78 & 0.00515808 & 0.0103162 & 0.994842 \tabularnewline
79 & 0.00392285 & 0.0078457 & 0.996077 \tabularnewline
80 & 0.00307436 & 0.00614872 & 0.996926 \tabularnewline
81 & 0.00263851 & 0.00527702 & 0.997361 \tabularnewline
82 & 0.00205373 & 0.00410746 & 0.997946 \tabularnewline
83 & 0.00212898 & 0.00425795 & 0.997871 \tabularnewline
84 & 0.00162379 & 0.00324758 & 0.998376 \tabularnewline
85 & 0.00139832 & 0.00279664 & 0.998602 \tabularnewline
86 & 0.0010957 & 0.00219141 & 0.998904 \tabularnewline
87 & 0.00423631 & 0.00847263 & 0.995764 \tabularnewline
88 & 0.00347929 & 0.00695859 & 0.996521 \tabularnewline
89 & 0.00268839 & 0.00537679 & 0.997312 \tabularnewline
90 & 0.00210655 & 0.0042131 & 0.997893 \tabularnewline
91 & 0.00173092 & 0.00346185 & 0.998269 \tabularnewline
92 & 0.00193058 & 0.00386117 & 0.998069 \tabularnewline
93 & 0.00208973 & 0.00417947 & 0.99791 \tabularnewline
94 & 0.00182807 & 0.00365614 & 0.998172 \tabularnewline
95 & 0.00372749 & 0.00745498 & 0.996273 \tabularnewline
96 & 0.00297245 & 0.00594489 & 0.997028 \tabularnewline
97 & 0.00283908 & 0.00567816 & 0.997161 \tabularnewline
98 & 0.00318552 & 0.00637103 & 0.996814 \tabularnewline
99 & 0.00291615 & 0.0058323 & 0.997084 \tabularnewline
100 & 0.00423332 & 0.00846663 & 0.995767 \tabularnewline
101 & 0.00352386 & 0.00704772 & 0.996476 \tabularnewline
102 & 0.00344931 & 0.00689862 & 0.996551 \tabularnewline
103 & 0.00440283 & 0.00880565 & 0.995597 \tabularnewline
104 & 0.00386225 & 0.00772449 & 0.996138 \tabularnewline
105 & 0.00369669 & 0.00739337 & 0.996303 \tabularnewline
106 & 0.00450863 & 0.00901727 & 0.995491 \tabularnewline
107 & 0.00400956 & 0.00801911 & 0.99599 \tabularnewline
108 & 0.00413451 & 0.00826902 & 0.995865 \tabularnewline
109 & 0.00458173 & 0.00916346 & 0.995418 \tabularnewline
110 & 0.00499898 & 0.00999796 & 0.995001 \tabularnewline
111 & 0.0186926 & 0.0373852 & 0.981307 \tabularnewline
112 & 0.037511 & 0.0750221 & 0.962489 \tabularnewline
113 & 0.0345581 & 0.0691163 & 0.965442 \tabularnewline
114 & 0.0312862 & 0.0625723 & 0.968714 \tabularnewline
115 & 0.02991 & 0.0598201 & 0.97009 \tabularnewline
116 & 0.0793642 & 0.158728 & 0.920636 \tabularnewline
117 & 0.0800388 & 0.160078 & 0.919961 \tabularnewline
118 & 0.150525 & 0.30105 & 0.849475 \tabularnewline
119 & 0.206701 & 0.413402 & 0.793299 \tabularnewline
120 & 0.260739 & 0.521478 & 0.739261 \tabularnewline
121 & 0.24787 & 0.49574 & 0.75213 \tabularnewline
122 & 0.305416 & 0.610832 & 0.694584 \tabularnewline
123 & 0.427361 & 0.854723 & 0.572639 \tabularnewline
124 & 0.459803 & 0.919605 & 0.540197 \tabularnewline
125 & 0.445588 & 0.891176 & 0.554412 \tabularnewline
126 & 0.577291 & 0.845418 & 0.422709 \tabularnewline
127 & 0.570419 & 0.859161 & 0.429581 \tabularnewline
128 & 0.569766 & 0.860469 & 0.430234 \tabularnewline
129 & 0.551761 & 0.896477 & 0.448239 \tabularnewline
130 & 0.586866 & 0.826268 & 0.413134 \tabularnewline
131 & 0.571245 & 0.857511 & 0.428755 \tabularnewline
132 & 0.677321 & 0.645359 & 0.322679 \tabularnewline
133 & 0.65754 & 0.68492 & 0.34246 \tabularnewline
134 & 0.637471 & 0.725058 & 0.362529 \tabularnewline
135 & 0.648943 & 0.702113 & 0.351057 \tabularnewline
136 & 0.641367 & 0.717266 & 0.358633 \tabularnewline
137 & 0.646481 & 0.707038 & 0.353519 \tabularnewline
138 & 0.622182 & 0.755636 & 0.377818 \tabularnewline
139 & 0.608007 & 0.783986 & 0.391993 \tabularnewline
140 & 0.633532 & 0.732936 & 0.366468 \tabularnewline
141 & 0.694298 & 0.611404 & 0.305702 \tabularnewline
142 & 0.75492 & 0.490161 & 0.24508 \tabularnewline
143 & 0.753479 & 0.493042 & 0.246521 \tabularnewline
144 & 0.745976 & 0.508047 & 0.254024 \tabularnewline
145 & 0.774654 & 0.450692 & 0.225346 \tabularnewline
146 & 0.784953 & 0.430094 & 0.215047 \tabularnewline
147 & 0.805744 & 0.388512 & 0.194256 \tabularnewline
148 & 0.80849 & 0.38302 & 0.19151 \tabularnewline
149 & 0.821914 & 0.356172 & 0.178086 \tabularnewline
150 & 0.845763 & 0.308475 & 0.154237 \tabularnewline
151 & 0.832693 & 0.334614 & 0.167307 \tabularnewline
152 & 0.815475 & 0.369051 & 0.184525 \tabularnewline
153 & 0.799851 & 0.400298 & 0.200149 \tabularnewline
154 & 0.792602 & 0.414796 & 0.207398 \tabularnewline
155 & 0.810531 & 0.378939 & 0.189469 \tabularnewline
156 & 0.808738 & 0.382524 & 0.191262 \tabularnewline
157 & 0.798044 & 0.403912 & 0.201956 \tabularnewline
158 & 0.834362 & 0.331276 & 0.165638 \tabularnewline
159 & 0.855636 & 0.288729 & 0.144364 \tabularnewline
160 & 0.83676 & 0.326479 & 0.16324 \tabularnewline
161 & 0.818441 & 0.363118 & 0.181559 \tabularnewline
162 & 0.847449 & 0.305101 & 0.152551 \tabularnewline
163 & 0.840533 & 0.318934 & 0.159467 \tabularnewline
164 & 0.829893 & 0.340214 & 0.170107 \tabularnewline
165 & 0.825432 & 0.349136 & 0.174568 \tabularnewline
166 & 0.853187 & 0.293627 & 0.146813 \tabularnewline
167 & 0.846177 & 0.307645 & 0.153823 \tabularnewline
168 & 0.843968 & 0.312063 & 0.156032 \tabularnewline
169 & 0.830074 & 0.339852 & 0.169926 \tabularnewline
170 & 0.871032 & 0.257936 & 0.128968 \tabularnewline
171 & 0.863622 & 0.272755 & 0.136378 \tabularnewline
172 & 0.892321 & 0.215359 & 0.107679 \tabularnewline
173 & 0.87538 & 0.249241 & 0.12462 \tabularnewline
174 & 0.859453 & 0.281093 & 0.140547 \tabularnewline
175 & 0.853767 & 0.292467 & 0.146233 \tabularnewline
176 & 0.846505 & 0.306989 & 0.153495 \tabularnewline
177 & 0.871753 & 0.256494 & 0.128247 \tabularnewline
178 & 0.852841 & 0.294318 & 0.147159 \tabularnewline
179 & 0.836372 & 0.327255 & 0.163628 \tabularnewline
180 & 0.818841 & 0.362318 & 0.181159 \tabularnewline
181 & 0.835738 & 0.328525 & 0.164262 \tabularnewline
182 & 0.813006 & 0.373988 & 0.186994 \tabularnewline
183 & 0.890603 & 0.218794 & 0.109397 \tabularnewline
184 & 0.88263 & 0.23474 & 0.11737 \tabularnewline
185 & 0.920849 & 0.158302 & 0.0791512 \tabularnewline
186 & 0.906512 & 0.186977 & 0.0934883 \tabularnewline
187 & 0.891913 & 0.216174 & 0.108087 \tabularnewline
188 & 0.906413 & 0.187173 & 0.0935867 \tabularnewline
189 & 0.902005 & 0.19599 & 0.0979951 \tabularnewline
190 & 0.88509 & 0.22982 & 0.11491 \tabularnewline
191 & 0.878501 & 0.242997 & 0.121499 \tabularnewline
192 & 0.886797 & 0.226407 & 0.113203 \tabularnewline
193 & 0.868049 & 0.263902 & 0.131951 \tabularnewline
194 & 0.852855 & 0.29429 & 0.147145 \tabularnewline
195 & 0.831049 & 0.337903 & 0.168951 \tabularnewline
196 & 0.832979 & 0.334043 & 0.167021 \tabularnewline
197 & 0.819655 & 0.36069 & 0.180345 \tabularnewline
198 & 0.853411 & 0.293177 & 0.146589 \tabularnewline
199 & 0.887786 & 0.224428 & 0.112214 \tabularnewline
200 & 0.874823 & 0.250354 & 0.125177 \tabularnewline
201 & 0.855128 & 0.289745 & 0.144872 \tabularnewline
202 & 0.840705 & 0.31859 & 0.159295 \tabularnewline
203 & 0.823427 & 0.353146 & 0.176573 \tabularnewline
204 & 0.804977 & 0.390045 & 0.195023 \tabularnewline
205 & 0.802473 & 0.395053 & 0.197527 \tabularnewline
206 & 0.859754 & 0.280492 & 0.140246 \tabularnewline
207 & 0.837819 & 0.324361 & 0.162181 \tabularnewline
208 & 0.814374 & 0.371252 & 0.185626 \tabularnewline
209 & 0.791195 & 0.417611 & 0.208805 \tabularnewline
210 & 0.776896 & 0.446207 & 0.223104 \tabularnewline
211 & 0.748193 & 0.503614 & 0.251807 \tabularnewline
212 & 0.747758 & 0.504484 & 0.252242 \tabularnewline
213 & 0.724719 & 0.550562 & 0.275281 \tabularnewline
214 & 0.701171 & 0.597657 & 0.298829 \tabularnewline
215 & 0.764803 & 0.470394 & 0.235197 \tabularnewline
216 & 0.747929 & 0.504142 & 0.252071 \tabularnewline
217 & 0.727765 & 0.544471 & 0.272235 \tabularnewline
218 & 0.702063 & 0.595873 & 0.297937 \tabularnewline
219 & 0.66641 & 0.667179 & 0.33359 \tabularnewline
220 & 0.628788 & 0.742425 & 0.371212 \tabularnewline
221 & 0.625387 & 0.749227 & 0.374613 \tabularnewline
222 & 0.586935 & 0.82613 & 0.413065 \tabularnewline
223 & 0.563718 & 0.872564 & 0.436282 \tabularnewline
224 & 0.523962 & 0.952076 & 0.476038 \tabularnewline
225 & 0.544284 & 0.911432 & 0.455716 \tabularnewline
226 & 0.509537 & 0.980927 & 0.490463 \tabularnewline
227 & 0.482405 & 0.964811 & 0.517595 \tabularnewline
228 & 0.536543 & 0.926914 & 0.463457 \tabularnewline
229 & 0.685921 & 0.628159 & 0.314079 \tabularnewline
230 & 0.645412 & 0.709175 & 0.354588 \tabularnewline
231 & 0.611183 & 0.777635 & 0.388817 \tabularnewline
232 & 0.595131 & 0.809739 & 0.404869 \tabularnewline
233 & 0.561433 & 0.877134 & 0.438567 \tabularnewline
234 & 0.532841 & 0.934319 & 0.467159 \tabularnewline
235 & 0.490709 & 0.981418 & 0.509291 \tabularnewline
236 & 0.549948 & 0.900104 & 0.450052 \tabularnewline
237 & 0.595442 & 0.809116 & 0.404558 \tabularnewline
238 & 0.71161 & 0.57678 & 0.28839 \tabularnewline
239 & 0.775837 & 0.448326 & 0.224163 \tabularnewline
240 & 0.738849 & 0.522302 & 0.261151 \tabularnewline
241 & 0.705441 & 0.589119 & 0.294559 \tabularnewline
242 & 0.681335 & 0.63733 & 0.318665 \tabularnewline
243 & 0.933003 & 0.133994 & 0.066997 \tabularnewline
244 & 0.916024 & 0.167952 & 0.083976 \tabularnewline
245 & 0.893979 & 0.212043 & 0.106021 \tabularnewline
246 & 0.868871 & 0.262257 & 0.131129 \tabularnewline
247 & 0.83744 & 0.325119 & 0.16256 \tabularnewline
248 & 0.804825 & 0.39035 & 0.195175 \tabularnewline
249 & 0.767192 & 0.465616 & 0.232808 \tabularnewline
250 & 0.722917 & 0.554166 & 0.277083 \tabularnewline
251 & 0.832425 & 0.335151 & 0.167575 \tabularnewline
252 & 0.831634 & 0.336732 & 0.168366 \tabularnewline
253 & 0.816357 & 0.367287 & 0.183643 \tabularnewline
254 & 0.777764 & 0.444471 & 0.222236 \tabularnewline
255 & 0.78111 & 0.437779 & 0.21889 \tabularnewline
256 & 0.746939 & 0.506121 & 0.253061 \tabularnewline
257 & 0.774818 & 0.450363 & 0.225182 \tabularnewline
258 & 0.728743 & 0.542514 & 0.271257 \tabularnewline
259 & 0.675566 & 0.648869 & 0.324434 \tabularnewline
260 & 0.639754 & 0.720492 & 0.360246 \tabularnewline
261 & 0.573051 & 0.853899 & 0.426949 \tabularnewline
262 & 0.536289 & 0.927421 & 0.463711 \tabularnewline
263 & 0.473745 & 0.947489 & 0.526255 \tabularnewline
264 & 0.419109 & 0.838218 & 0.580891 \tabularnewline
265 & 0.729396 & 0.541208 & 0.270604 \tabularnewline
266 & 0.738781 & 0.522439 & 0.261219 \tabularnewline
267 & 0.681362 & 0.637275 & 0.318638 \tabularnewline
268 & 0.853048 & 0.293904 & 0.146952 \tabularnewline
269 & 0.858925 & 0.28215 & 0.141075 \tabularnewline
270 & 0.917177 & 0.165645 & 0.0828225 \tabularnewline
271 & 0.875983 & 0.248034 & 0.124017 \tabularnewline
272 & 0.843112 & 0.313777 & 0.156888 \tabularnewline
273 & 0.757671 & 0.484657 & 0.242329 \tabularnewline
274 & 0.640153 & 0.719695 & 0.359847 \tabularnewline
275 & 0.493975 & 0.98795 & 0.506025 \tabularnewline
276 & 0.344626 & 0.689253 & 0.655374 \tabularnewline
277 & 0.906899 & 0.186203 & 0.0931015 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265608&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]0.412157[/C][C]0.824314[/C][C]0.587843[/C][/ROW]
[ROW][C]11[/C][C]0.424039[/C][C]0.848078[/C][C]0.575961[/C][/ROW]
[ROW][C]12[/C][C]0.295488[/C][C]0.590976[/C][C]0.704512[/C][/ROW]
[ROW][C]13[/C][C]0.536068[/C][C]0.927865[/C][C]0.463932[/C][/ROW]
[ROW][C]14[/C][C]0.425687[/C][C]0.851373[/C][C]0.574313[/C][/ROW]
[ROW][C]15[/C][C]0.326483[/C][C]0.652966[/C][C]0.673517[/C][/ROW]
[ROW][C]16[/C][C]0.395636[/C][C]0.791273[/C][C]0.604364[/C][/ROW]
[ROW][C]17[/C][C]0.314161[/C][C]0.628321[/C][C]0.685839[/C][/ROW]
[ROW][C]18[/C][C]0.241919[/C][C]0.483837[/C][C]0.758081[/C][/ROW]
[ROW][C]19[/C][C]0.198078[/C][C]0.396156[/C][C]0.801922[/C][/ROW]
[ROW][C]20[/C][C]0.143098[/C][C]0.286197[/C][C]0.856902[/C][/ROW]
[ROW][C]21[/C][C]0.100484[/C][C]0.200969[/C][C]0.899516[/C][/ROW]
[ROW][C]22[/C][C]0.166614[/C][C]0.333228[/C][C]0.833386[/C][/ROW]
[ROW][C]23[/C][C]0.216188[/C][C]0.432376[/C][C]0.783812[/C][/ROW]
[ROW][C]24[/C][C]0.174071[/C][C]0.348141[/C][C]0.825929[/C][/ROW]
[ROW][C]25[/C][C]0.150001[/C][C]0.300001[/C][C]0.849999[/C][/ROW]
[ROW][C]26[/C][C]0.117233[/C][C]0.234467[/C][C]0.882767[/C][/ROW]
[ROW][C]27[/C][C]0.0995283[/C][C]0.199057[/C][C]0.900472[/C][/ROW]
[ROW][C]28[/C][C]0.174262[/C][C]0.348525[/C][C]0.825738[/C][/ROW]
[ROW][C]29[/C][C]0.148006[/C][C]0.296012[/C][C]0.851994[/C][/ROW]
[ROW][C]30[/C][C]0.141641[/C][C]0.283281[/C][C]0.858359[/C][/ROW]
[ROW][C]31[/C][C]0.109555[/C][C]0.219111[/C][C]0.890445[/C][/ROW]
[ROW][C]32[/C][C]0.0917408[/C][C]0.183482[/C][C]0.908259[/C][/ROW]
[ROW][C]33[/C][C]0.0707328[/C][C]0.141466[/C][C]0.929267[/C][/ROW]
[ROW][C]34[/C][C]0.133672[/C][C]0.267343[/C][C]0.866328[/C][/ROW]
[ROW][C]35[/C][C]0.118111[/C][C]0.236222[/C][C]0.881889[/C][/ROW]
[ROW][C]36[/C][C]0.102345[/C][C]0.20469[/C][C]0.897655[/C][/ROW]
[ROW][C]37[/C][C]0.0804602[/C][C]0.16092[/C][C]0.91954[/C][/ROW]
[ROW][C]38[/C][C]0.0647546[/C][C]0.129509[/C][C]0.935245[/C][/ROW]
[ROW][C]39[/C][C]0.0529385[/C][C]0.105877[/C][C]0.947061[/C][/ROW]
[ROW][C]40[/C][C]0.0450072[/C][C]0.0900143[/C][C]0.954993[/C][/ROW]
[ROW][C]41[/C][C]0.0382872[/C][C]0.0765744[/C][C]0.961713[/C][/ROW]
[ROW][C]42[/C][C]0.0293364[/C][C]0.0586729[/C][C]0.970664[/C][/ROW]
[ROW][C]43[/C][C]0.0487301[/C][C]0.0974602[/C][C]0.95127[/C][/ROW]
[ROW][C]44[/C][C]0.0373393[/C][C]0.0746786[/C][C]0.962661[/C][/ROW]
[ROW][C]45[/C][C]0.0324482[/C][C]0.0648964[/C][C]0.967552[/C][/ROW]
[ROW][C]46[/C][C]0.025046[/C][C]0.050092[/C][C]0.974954[/C][/ROW]
[ROW][C]47[/C][C]0.0206835[/C][C]0.0413669[/C][C]0.979317[/C][/ROW]
[ROW][C]48[/C][C]0.0154547[/C][C]0.0309093[/C][C]0.984545[/C][/ROW]
[ROW][C]49[/C][C]0.0112871[/C][C]0.0225742[/C][C]0.988713[/C][/ROW]
[ROW][C]50[/C][C]0.0127703[/C][C]0.0255405[/C][C]0.98723[/C][/ROW]
[ROW][C]51[/C][C]0.0105137[/C][C]0.0210274[/C][C]0.989486[/C][/ROW]
[ROW][C]52[/C][C]0.00837685[/C][C]0.0167537[/C][C]0.991623[/C][/ROW]
[ROW][C]53[/C][C]0.0062505[/C][C]0.012501[/C][C]0.99375[/C][/ROW]
[ROW][C]54[/C][C]0.00777497[/C][C]0.0155499[/C][C]0.992225[/C][/ROW]
[ROW][C]55[/C][C]0.00580355[/C][C]0.0116071[/C][C]0.994196[/C][/ROW]
[ROW][C]56[/C][C]0.00461617[/C][C]0.00923233[/C][C]0.995384[/C][/ROW]
[ROW][C]57[/C][C]0.00481942[/C][C]0.00963883[/C][C]0.995181[/C][/ROW]
[ROW][C]58[/C][C]0.0038365[/C][C]0.007673[/C][C]0.996164[/C][/ROW]
[ROW][C]59[/C][C]0.00841933[/C][C]0.0168387[/C][C]0.991581[/C][/ROW]
[ROW][C]60[/C][C]0.0101372[/C][C]0.0202743[/C][C]0.989863[/C][/ROW]
[ROW][C]61[/C][C]0.00904413[/C][C]0.0180883[/C][C]0.990956[/C][/ROW]
[ROW][C]62[/C][C]0.00774492[/C][C]0.0154898[/C][C]0.992255[/C][/ROW]
[ROW][C]63[/C][C]0.00703608[/C][C]0.0140722[/C][C]0.992964[/C][/ROW]
[ROW][C]64[/C][C]0.00556611[/C][C]0.0111322[/C][C]0.994434[/C][/ROW]
[ROW][C]65[/C][C]0.00603268[/C][C]0.0120654[/C][C]0.993967[/C][/ROW]
[ROW][C]66[/C][C]0.0095959[/C][C]0.0191918[/C][C]0.990404[/C][/ROW]
[ROW][C]67[/C][C]0.00841415[/C][C]0.0168283[/C][C]0.991586[/C][/ROW]
[ROW][C]68[/C][C]0.00792437[/C][C]0.0158487[/C][C]0.992076[/C][/ROW]
[ROW][C]69[/C][C]0.00635639[/C][C]0.0127128[/C][C]0.993644[/C][/ROW]
[ROW][C]70[/C][C]0.00528401[/C][C]0.010568[/C][C]0.994716[/C][/ROW]
[ROW][C]71[/C][C]0.00782352[/C][C]0.015647[/C][C]0.992176[/C][/ROW]
[ROW][C]72[/C][C]0.00658259[/C][C]0.0131652[/C][C]0.993417[/C][/ROW]
[ROW][C]73[/C][C]0.00516717[/C][C]0.0103343[/C][C]0.994833[/C][/ROW]
[ROW][C]74[/C][C]0.00397741[/C][C]0.00795481[/C][C]0.996023[/C][/ROW]
[ROW][C]75[/C][C]0.00382843[/C][C]0.00765686[/C][C]0.996172[/C][/ROW]
[ROW][C]76[/C][C]0.00435609[/C][C]0.00871219[/C][C]0.995644[/C][/ROW]
[ROW][C]77[/C][C]0.00640119[/C][C]0.0128024[/C][C]0.993599[/C][/ROW]
[ROW][C]78[/C][C]0.00515808[/C][C]0.0103162[/C][C]0.994842[/C][/ROW]
[ROW][C]79[/C][C]0.00392285[/C][C]0.0078457[/C][C]0.996077[/C][/ROW]
[ROW][C]80[/C][C]0.00307436[/C][C]0.00614872[/C][C]0.996926[/C][/ROW]
[ROW][C]81[/C][C]0.00263851[/C][C]0.00527702[/C][C]0.997361[/C][/ROW]
[ROW][C]82[/C][C]0.00205373[/C][C]0.00410746[/C][C]0.997946[/C][/ROW]
[ROW][C]83[/C][C]0.00212898[/C][C]0.00425795[/C][C]0.997871[/C][/ROW]
[ROW][C]84[/C][C]0.00162379[/C][C]0.00324758[/C][C]0.998376[/C][/ROW]
[ROW][C]85[/C][C]0.00139832[/C][C]0.00279664[/C][C]0.998602[/C][/ROW]
[ROW][C]86[/C][C]0.0010957[/C][C]0.00219141[/C][C]0.998904[/C][/ROW]
[ROW][C]87[/C][C]0.00423631[/C][C]0.00847263[/C][C]0.995764[/C][/ROW]
[ROW][C]88[/C][C]0.00347929[/C][C]0.00695859[/C][C]0.996521[/C][/ROW]
[ROW][C]89[/C][C]0.00268839[/C][C]0.00537679[/C][C]0.997312[/C][/ROW]
[ROW][C]90[/C][C]0.00210655[/C][C]0.0042131[/C][C]0.997893[/C][/ROW]
[ROW][C]91[/C][C]0.00173092[/C][C]0.00346185[/C][C]0.998269[/C][/ROW]
[ROW][C]92[/C][C]0.00193058[/C][C]0.00386117[/C][C]0.998069[/C][/ROW]
[ROW][C]93[/C][C]0.00208973[/C][C]0.00417947[/C][C]0.99791[/C][/ROW]
[ROW][C]94[/C][C]0.00182807[/C][C]0.00365614[/C][C]0.998172[/C][/ROW]
[ROW][C]95[/C][C]0.00372749[/C][C]0.00745498[/C][C]0.996273[/C][/ROW]
[ROW][C]96[/C][C]0.00297245[/C][C]0.00594489[/C][C]0.997028[/C][/ROW]
[ROW][C]97[/C][C]0.00283908[/C][C]0.00567816[/C][C]0.997161[/C][/ROW]
[ROW][C]98[/C][C]0.00318552[/C][C]0.00637103[/C][C]0.996814[/C][/ROW]
[ROW][C]99[/C][C]0.00291615[/C][C]0.0058323[/C][C]0.997084[/C][/ROW]
[ROW][C]100[/C][C]0.00423332[/C][C]0.00846663[/C][C]0.995767[/C][/ROW]
[ROW][C]101[/C][C]0.00352386[/C][C]0.00704772[/C][C]0.996476[/C][/ROW]
[ROW][C]102[/C][C]0.00344931[/C][C]0.00689862[/C][C]0.996551[/C][/ROW]
[ROW][C]103[/C][C]0.00440283[/C][C]0.00880565[/C][C]0.995597[/C][/ROW]
[ROW][C]104[/C][C]0.00386225[/C][C]0.00772449[/C][C]0.996138[/C][/ROW]
[ROW][C]105[/C][C]0.00369669[/C][C]0.00739337[/C][C]0.996303[/C][/ROW]
[ROW][C]106[/C][C]0.00450863[/C][C]0.00901727[/C][C]0.995491[/C][/ROW]
[ROW][C]107[/C][C]0.00400956[/C][C]0.00801911[/C][C]0.99599[/C][/ROW]
[ROW][C]108[/C][C]0.00413451[/C][C]0.00826902[/C][C]0.995865[/C][/ROW]
[ROW][C]109[/C][C]0.00458173[/C][C]0.00916346[/C][C]0.995418[/C][/ROW]
[ROW][C]110[/C][C]0.00499898[/C][C]0.00999796[/C][C]0.995001[/C][/ROW]
[ROW][C]111[/C][C]0.0186926[/C][C]0.0373852[/C][C]0.981307[/C][/ROW]
[ROW][C]112[/C][C]0.037511[/C][C]0.0750221[/C][C]0.962489[/C][/ROW]
[ROW][C]113[/C][C]0.0345581[/C][C]0.0691163[/C][C]0.965442[/C][/ROW]
[ROW][C]114[/C][C]0.0312862[/C][C]0.0625723[/C][C]0.968714[/C][/ROW]
[ROW][C]115[/C][C]0.02991[/C][C]0.0598201[/C][C]0.97009[/C][/ROW]
[ROW][C]116[/C][C]0.0793642[/C][C]0.158728[/C][C]0.920636[/C][/ROW]
[ROW][C]117[/C][C]0.0800388[/C][C]0.160078[/C][C]0.919961[/C][/ROW]
[ROW][C]118[/C][C]0.150525[/C][C]0.30105[/C][C]0.849475[/C][/ROW]
[ROW][C]119[/C][C]0.206701[/C][C]0.413402[/C][C]0.793299[/C][/ROW]
[ROW][C]120[/C][C]0.260739[/C][C]0.521478[/C][C]0.739261[/C][/ROW]
[ROW][C]121[/C][C]0.24787[/C][C]0.49574[/C][C]0.75213[/C][/ROW]
[ROW][C]122[/C][C]0.305416[/C][C]0.610832[/C][C]0.694584[/C][/ROW]
[ROW][C]123[/C][C]0.427361[/C][C]0.854723[/C][C]0.572639[/C][/ROW]
[ROW][C]124[/C][C]0.459803[/C][C]0.919605[/C][C]0.540197[/C][/ROW]
[ROW][C]125[/C][C]0.445588[/C][C]0.891176[/C][C]0.554412[/C][/ROW]
[ROW][C]126[/C][C]0.577291[/C][C]0.845418[/C][C]0.422709[/C][/ROW]
[ROW][C]127[/C][C]0.570419[/C][C]0.859161[/C][C]0.429581[/C][/ROW]
[ROW][C]128[/C][C]0.569766[/C][C]0.860469[/C][C]0.430234[/C][/ROW]
[ROW][C]129[/C][C]0.551761[/C][C]0.896477[/C][C]0.448239[/C][/ROW]
[ROW][C]130[/C][C]0.586866[/C][C]0.826268[/C][C]0.413134[/C][/ROW]
[ROW][C]131[/C][C]0.571245[/C][C]0.857511[/C][C]0.428755[/C][/ROW]
[ROW][C]132[/C][C]0.677321[/C][C]0.645359[/C][C]0.322679[/C][/ROW]
[ROW][C]133[/C][C]0.65754[/C][C]0.68492[/C][C]0.34246[/C][/ROW]
[ROW][C]134[/C][C]0.637471[/C][C]0.725058[/C][C]0.362529[/C][/ROW]
[ROW][C]135[/C][C]0.648943[/C][C]0.702113[/C][C]0.351057[/C][/ROW]
[ROW][C]136[/C][C]0.641367[/C][C]0.717266[/C][C]0.358633[/C][/ROW]
[ROW][C]137[/C][C]0.646481[/C][C]0.707038[/C][C]0.353519[/C][/ROW]
[ROW][C]138[/C][C]0.622182[/C][C]0.755636[/C][C]0.377818[/C][/ROW]
[ROW][C]139[/C][C]0.608007[/C][C]0.783986[/C][C]0.391993[/C][/ROW]
[ROW][C]140[/C][C]0.633532[/C][C]0.732936[/C][C]0.366468[/C][/ROW]
[ROW][C]141[/C][C]0.694298[/C][C]0.611404[/C][C]0.305702[/C][/ROW]
[ROW][C]142[/C][C]0.75492[/C][C]0.490161[/C][C]0.24508[/C][/ROW]
[ROW][C]143[/C][C]0.753479[/C][C]0.493042[/C][C]0.246521[/C][/ROW]
[ROW][C]144[/C][C]0.745976[/C][C]0.508047[/C][C]0.254024[/C][/ROW]
[ROW][C]145[/C][C]0.774654[/C][C]0.450692[/C][C]0.225346[/C][/ROW]
[ROW][C]146[/C][C]0.784953[/C][C]0.430094[/C][C]0.215047[/C][/ROW]
[ROW][C]147[/C][C]0.805744[/C][C]0.388512[/C][C]0.194256[/C][/ROW]
[ROW][C]148[/C][C]0.80849[/C][C]0.38302[/C][C]0.19151[/C][/ROW]
[ROW][C]149[/C][C]0.821914[/C][C]0.356172[/C][C]0.178086[/C][/ROW]
[ROW][C]150[/C][C]0.845763[/C][C]0.308475[/C][C]0.154237[/C][/ROW]
[ROW][C]151[/C][C]0.832693[/C][C]0.334614[/C][C]0.167307[/C][/ROW]
[ROW][C]152[/C][C]0.815475[/C][C]0.369051[/C][C]0.184525[/C][/ROW]
[ROW][C]153[/C][C]0.799851[/C][C]0.400298[/C][C]0.200149[/C][/ROW]
[ROW][C]154[/C][C]0.792602[/C][C]0.414796[/C][C]0.207398[/C][/ROW]
[ROW][C]155[/C][C]0.810531[/C][C]0.378939[/C][C]0.189469[/C][/ROW]
[ROW][C]156[/C][C]0.808738[/C][C]0.382524[/C][C]0.191262[/C][/ROW]
[ROW][C]157[/C][C]0.798044[/C][C]0.403912[/C][C]0.201956[/C][/ROW]
[ROW][C]158[/C][C]0.834362[/C][C]0.331276[/C][C]0.165638[/C][/ROW]
[ROW][C]159[/C][C]0.855636[/C][C]0.288729[/C][C]0.144364[/C][/ROW]
[ROW][C]160[/C][C]0.83676[/C][C]0.326479[/C][C]0.16324[/C][/ROW]
[ROW][C]161[/C][C]0.818441[/C][C]0.363118[/C][C]0.181559[/C][/ROW]
[ROW][C]162[/C][C]0.847449[/C][C]0.305101[/C][C]0.152551[/C][/ROW]
[ROW][C]163[/C][C]0.840533[/C][C]0.318934[/C][C]0.159467[/C][/ROW]
[ROW][C]164[/C][C]0.829893[/C][C]0.340214[/C][C]0.170107[/C][/ROW]
[ROW][C]165[/C][C]0.825432[/C][C]0.349136[/C][C]0.174568[/C][/ROW]
[ROW][C]166[/C][C]0.853187[/C][C]0.293627[/C][C]0.146813[/C][/ROW]
[ROW][C]167[/C][C]0.846177[/C][C]0.307645[/C][C]0.153823[/C][/ROW]
[ROW][C]168[/C][C]0.843968[/C][C]0.312063[/C][C]0.156032[/C][/ROW]
[ROW][C]169[/C][C]0.830074[/C][C]0.339852[/C][C]0.169926[/C][/ROW]
[ROW][C]170[/C][C]0.871032[/C][C]0.257936[/C][C]0.128968[/C][/ROW]
[ROW][C]171[/C][C]0.863622[/C][C]0.272755[/C][C]0.136378[/C][/ROW]
[ROW][C]172[/C][C]0.892321[/C][C]0.215359[/C][C]0.107679[/C][/ROW]
[ROW][C]173[/C][C]0.87538[/C][C]0.249241[/C][C]0.12462[/C][/ROW]
[ROW][C]174[/C][C]0.859453[/C][C]0.281093[/C][C]0.140547[/C][/ROW]
[ROW][C]175[/C][C]0.853767[/C][C]0.292467[/C][C]0.146233[/C][/ROW]
[ROW][C]176[/C][C]0.846505[/C][C]0.306989[/C][C]0.153495[/C][/ROW]
[ROW][C]177[/C][C]0.871753[/C][C]0.256494[/C][C]0.128247[/C][/ROW]
[ROW][C]178[/C][C]0.852841[/C][C]0.294318[/C][C]0.147159[/C][/ROW]
[ROW][C]179[/C][C]0.836372[/C][C]0.327255[/C][C]0.163628[/C][/ROW]
[ROW][C]180[/C][C]0.818841[/C][C]0.362318[/C][C]0.181159[/C][/ROW]
[ROW][C]181[/C][C]0.835738[/C][C]0.328525[/C][C]0.164262[/C][/ROW]
[ROW][C]182[/C][C]0.813006[/C][C]0.373988[/C][C]0.186994[/C][/ROW]
[ROW][C]183[/C][C]0.890603[/C][C]0.218794[/C][C]0.109397[/C][/ROW]
[ROW][C]184[/C][C]0.88263[/C][C]0.23474[/C][C]0.11737[/C][/ROW]
[ROW][C]185[/C][C]0.920849[/C][C]0.158302[/C][C]0.0791512[/C][/ROW]
[ROW][C]186[/C][C]0.906512[/C][C]0.186977[/C][C]0.0934883[/C][/ROW]
[ROW][C]187[/C][C]0.891913[/C][C]0.216174[/C][C]0.108087[/C][/ROW]
[ROW][C]188[/C][C]0.906413[/C][C]0.187173[/C][C]0.0935867[/C][/ROW]
[ROW][C]189[/C][C]0.902005[/C][C]0.19599[/C][C]0.0979951[/C][/ROW]
[ROW][C]190[/C][C]0.88509[/C][C]0.22982[/C][C]0.11491[/C][/ROW]
[ROW][C]191[/C][C]0.878501[/C][C]0.242997[/C][C]0.121499[/C][/ROW]
[ROW][C]192[/C][C]0.886797[/C][C]0.226407[/C][C]0.113203[/C][/ROW]
[ROW][C]193[/C][C]0.868049[/C][C]0.263902[/C][C]0.131951[/C][/ROW]
[ROW][C]194[/C][C]0.852855[/C][C]0.29429[/C][C]0.147145[/C][/ROW]
[ROW][C]195[/C][C]0.831049[/C][C]0.337903[/C][C]0.168951[/C][/ROW]
[ROW][C]196[/C][C]0.832979[/C][C]0.334043[/C][C]0.167021[/C][/ROW]
[ROW][C]197[/C][C]0.819655[/C][C]0.36069[/C][C]0.180345[/C][/ROW]
[ROW][C]198[/C][C]0.853411[/C][C]0.293177[/C][C]0.146589[/C][/ROW]
[ROW][C]199[/C][C]0.887786[/C][C]0.224428[/C][C]0.112214[/C][/ROW]
[ROW][C]200[/C][C]0.874823[/C][C]0.250354[/C][C]0.125177[/C][/ROW]
[ROW][C]201[/C][C]0.855128[/C][C]0.289745[/C][C]0.144872[/C][/ROW]
[ROW][C]202[/C][C]0.840705[/C][C]0.31859[/C][C]0.159295[/C][/ROW]
[ROW][C]203[/C][C]0.823427[/C][C]0.353146[/C][C]0.176573[/C][/ROW]
[ROW][C]204[/C][C]0.804977[/C][C]0.390045[/C][C]0.195023[/C][/ROW]
[ROW][C]205[/C][C]0.802473[/C][C]0.395053[/C][C]0.197527[/C][/ROW]
[ROW][C]206[/C][C]0.859754[/C][C]0.280492[/C][C]0.140246[/C][/ROW]
[ROW][C]207[/C][C]0.837819[/C][C]0.324361[/C][C]0.162181[/C][/ROW]
[ROW][C]208[/C][C]0.814374[/C][C]0.371252[/C][C]0.185626[/C][/ROW]
[ROW][C]209[/C][C]0.791195[/C][C]0.417611[/C][C]0.208805[/C][/ROW]
[ROW][C]210[/C][C]0.776896[/C][C]0.446207[/C][C]0.223104[/C][/ROW]
[ROW][C]211[/C][C]0.748193[/C][C]0.503614[/C][C]0.251807[/C][/ROW]
[ROW][C]212[/C][C]0.747758[/C][C]0.504484[/C][C]0.252242[/C][/ROW]
[ROW][C]213[/C][C]0.724719[/C][C]0.550562[/C][C]0.275281[/C][/ROW]
[ROW][C]214[/C][C]0.701171[/C][C]0.597657[/C][C]0.298829[/C][/ROW]
[ROW][C]215[/C][C]0.764803[/C][C]0.470394[/C][C]0.235197[/C][/ROW]
[ROW][C]216[/C][C]0.747929[/C][C]0.504142[/C][C]0.252071[/C][/ROW]
[ROW][C]217[/C][C]0.727765[/C][C]0.544471[/C][C]0.272235[/C][/ROW]
[ROW][C]218[/C][C]0.702063[/C][C]0.595873[/C][C]0.297937[/C][/ROW]
[ROW][C]219[/C][C]0.66641[/C][C]0.667179[/C][C]0.33359[/C][/ROW]
[ROW][C]220[/C][C]0.628788[/C][C]0.742425[/C][C]0.371212[/C][/ROW]
[ROW][C]221[/C][C]0.625387[/C][C]0.749227[/C][C]0.374613[/C][/ROW]
[ROW][C]222[/C][C]0.586935[/C][C]0.82613[/C][C]0.413065[/C][/ROW]
[ROW][C]223[/C][C]0.563718[/C][C]0.872564[/C][C]0.436282[/C][/ROW]
[ROW][C]224[/C][C]0.523962[/C][C]0.952076[/C][C]0.476038[/C][/ROW]
[ROW][C]225[/C][C]0.544284[/C][C]0.911432[/C][C]0.455716[/C][/ROW]
[ROW][C]226[/C][C]0.509537[/C][C]0.980927[/C][C]0.490463[/C][/ROW]
[ROW][C]227[/C][C]0.482405[/C][C]0.964811[/C][C]0.517595[/C][/ROW]
[ROW][C]228[/C][C]0.536543[/C][C]0.926914[/C][C]0.463457[/C][/ROW]
[ROW][C]229[/C][C]0.685921[/C][C]0.628159[/C][C]0.314079[/C][/ROW]
[ROW][C]230[/C][C]0.645412[/C][C]0.709175[/C][C]0.354588[/C][/ROW]
[ROW][C]231[/C][C]0.611183[/C][C]0.777635[/C][C]0.388817[/C][/ROW]
[ROW][C]232[/C][C]0.595131[/C][C]0.809739[/C][C]0.404869[/C][/ROW]
[ROW][C]233[/C][C]0.561433[/C][C]0.877134[/C][C]0.438567[/C][/ROW]
[ROW][C]234[/C][C]0.532841[/C][C]0.934319[/C][C]0.467159[/C][/ROW]
[ROW][C]235[/C][C]0.490709[/C][C]0.981418[/C][C]0.509291[/C][/ROW]
[ROW][C]236[/C][C]0.549948[/C][C]0.900104[/C][C]0.450052[/C][/ROW]
[ROW][C]237[/C][C]0.595442[/C][C]0.809116[/C][C]0.404558[/C][/ROW]
[ROW][C]238[/C][C]0.71161[/C][C]0.57678[/C][C]0.28839[/C][/ROW]
[ROW][C]239[/C][C]0.775837[/C][C]0.448326[/C][C]0.224163[/C][/ROW]
[ROW][C]240[/C][C]0.738849[/C][C]0.522302[/C][C]0.261151[/C][/ROW]
[ROW][C]241[/C][C]0.705441[/C][C]0.589119[/C][C]0.294559[/C][/ROW]
[ROW][C]242[/C][C]0.681335[/C][C]0.63733[/C][C]0.318665[/C][/ROW]
[ROW][C]243[/C][C]0.933003[/C][C]0.133994[/C][C]0.066997[/C][/ROW]
[ROW][C]244[/C][C]0.916024[/C][C]0.167952[/C][C]0.083976[/C][/ROW]
[ROW][C]245[/C][C]0.893979[/C][C]0.212043[/C][C]0.106021[/C][/ROW]
[ROW][C]246[/C][C]0.868871[/C][C]0.262257[/C][C]0.131129[/C][/ROW]
[ROW][C]247[/C][C]0.83744[/C][C]0.325119[/C][C]0.16256[/C][/ROW]
[ROW][C]248[/C][C]0.804825[/C][C]0.39035[/C][C]0.195175[/C][/ROW]
[ROW][C]249[/C][C]0.767192[/C][C]0.465616[/C][C]0.232808[/C][/ROW]
[ROW][C]250[/C][C]0.722917[/C][C]0.554166[/C][C]0.277083[/C][/ROW]
[ROW][C]251[/C][C]0.832425[/C][C]0.335151[/C][C]0.167575[/C][/ROW]
[ROW][C]252[/C][C]0.831634[/C][C]0.336732[/C][C]0.168366[/C][/ROW]
[ROW][C]253[/C][C]0.816357[/C][C]0.367287[/C][C]0.183643[/C][/ROW]
[ROW][C]254[/C][C]0.777764[/C][C]0.444471[/C][C]0.222236[/C][/ROW]
[ROW][C]255[/C][C]0.78111[/C][C]0.437779[/C][C]0.21889[/C][/ROW]
[ROW][C]256[/C][C]0.746939[/C][C]0.506121[/C][C]0.253061[/C][/ROW]
[ROW][C]257[/C][C]0.774818[/C][C]0.450363[/C][C]0.225182[/C][/ROW]
[ROW][C]258[/C][C]0.728743[/C][C]0.542514[/C][C]0.271257[/C][/ROW]
[ROW][C]259[/C][C]0.675566[/C][C]0.648869[/C][C]0.324434[/C][/ROW]
[ROW][C]260[/C][C]0.639754[/C][C]0.720492[/C][C]0.360246[/C][/ROW]
[ROW][C]261[/C][C]0.573051[/C][C]0.853899[/C][C]0.426949[/C][/ROW]
[ROW][C]262[/C][C]0.536289[/C][C]0.927421[/C][C]0.463711[/C][/ROW]
[ROW][C]263[/C][C]0.473745[/C][C]0.947489[/C][C]0.526255[/C][/ROW]
[ROW][C]264[/C][C]0.419109[/C][C]0.838218[/C][C]0.580891[/C][/ROW]
[ROW][C]265[/C][C]0.729396[/C][C]0.541208[/C][C]0.270604[/C][/ROW]
[ROW][C]266[/C][C]0.738781[/C][C]0.522439[/C][C]0.261219[/C][/ROW]
[ROW][C]267[/C][C]0.681362[/C][C]0.637275[/C][C]0.318638[/C][/ROW]
[ROW][C]268[/C][C]0.853048[/C][C]0.293904[/C][C]0.146952[/C][/ROW]
[ROW][C]269[/C][C]0.858925[/C][C]0.28215[/C][C]0.141075[/C][/ROW]
[ROW][C]270[/C][C]0.917177[/C][C]0.165645[/C][C]0.0828225[/C][/ROW]
[ROW][C]271[/C][C]0.875983[/C][C]0.248034[/C][C]0.124017[/C][/ROW]
[ROW][C]272[/C][C]0.843112[/C][C]0.313777[/C][C]0.156888[/C][/ROW]
[ROW][C]273[/C][C]0.757671[/C][C]0.484657[/C][C]0.242329[/C][/ROW]
[ROW][C]274[/C][C]0.640153[/C][C]0.719695[/C][C]0.359847[/C][/ROW]
[ROW][C]275[/C][C]0.493975[/C][C]0.98795[/C][C]0.506025[/C][/ROW]
[ROW][C]276[/C][C]0.344626[/C][C]0.689253[/C][C]0.655374[/C][/ROW]
[ROW][C]277[/C][C]0.906899[/C][C]0.186203[/C][C]0.0931015[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265608&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265608&T=5

As an alternative you can also use a QR Code:

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

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
10	0.412157	0.824314	0.587843
11	0.424039	0.848078	0.575961
12	0.295488	0.590976	0.704512
13	0.536068	0.927865	0.463932
14	0.425687	0.851373	0.574313
15	0.326483	0.652966	0.673517
16	0.395636	0.791273	0.604364
17	0.314161	0.628321	0.685839
18	0.241919	0.483837	0.758081
19	0.198078	0.396156	0.801922
20	0.143098	0.286197	0.856902
21	0.100484	0.200969	0.899516
22	0.166614	0.333228	0.833386
23	0.216188	0.432376	0.783812
24	0.174071	0.348141	0.825929
25	0.150001	0.300001	0.849999
26	0.117233	0.234467	0.882767
27	0.0995283	0.199057	0.900472
28	0.174262	0.348525	0.825738
29	0.148006	0.296012	0.851994
30	0.141641	0.283281	0.858359
31	0.109555	0.219111	0.890445
32	0.0917408	0.183482	0.908259
33	0.0707328	0.141466	0.929267
34	0.133672	0.267343	0.866328
35	0.118111	0.236222	0.881889
36	0.102345	0.20469	0.897655
37	0.0804602	0.16092	0.91954
38	0.0647546	0.129509	0.935245
39	0.0529385	0.105877	0.947061
40	0.0450072	0.0900143	0.954993
41	0.0382872	0.0765744	0.961713
42	0.0293364	0.0586729	0.970664
43	0.0487301	0.0974602	0.95127
44	0.0373393	0.0746786	0.962661
45	0.0324482	0.0648964	0.967552
46	0.025046	0.050092	0.974954
47	0.0206835	0.0413669	0.979317
48	0.0154547	0.0309093	0.984545
49	0.0112871	0.0225742	0.988713
50	0.0127703	0.0255405	0.98723
51	0.0105137	0.0210274	0.989486
52	0.00837685	0.0167537	0.991623
53	0.0062505	0.012501	0.99375
54	0.00777497	0.0155499	0.992225
55	0.00580355	0.0116071	0.994196
56	0.00461617	0.00923233	0.995384
57	0.00481942	0.00963883	0.995181
58	0.0038365	0.007673	0.996164
59	0.00841933	0.0168387	0.991581
60	0.0101372	0.0202743	0.989863
61	0.00904413	0.0180883	0.990956
62	0.00774492	0.0154898	0.992255
63	0.00703608	0.0140722	0.992964
64	0.00556611	0.0111322	0.994434
65	0.00603268	0.0120654	0.993967
66	0.0095959	0.0191918	0.990404
67	0.00841415	0.0168283	0.991586
68	0.00792437	0.0158487	0.992076
69	0.00635639	0.0127128	0.993644
70	0.00528401	0.010568	0.994716
71	0.00782352	0.015647	0.992176
72	0.00658259	0.0131652	0.993417
73	0.00516717	0.0103343	0.994833
74	0.00397741	0.00795481	0.996023
75	0.00382843	0.00765686	0.996172
76	0.00435609	0.00871219	0.995644
77	0.00640119	0.0128024	0.993599
78	0.00515808	0.0103162	0.994842
79	0.00392285	0.0078457	0.996077
80	0.00307436	0.00614872	0.996926
81	0.00263851	0.00527702	0.997361
82	0.00205373	0.00410746	0.997946
83	0.00212898	0.00425795	0.997871
84	0.00162379	0.00324758	0.998376
85	0.00139832	0.00279664	0.998602
86	0.0010957	0.00219141	0.998904
87	0.00423631	0.00847263	0.995764
88	0.00347929	0.00695859	0.996521
89	0.00268839	0.00537679	0.997312
90	0.00210655	0.0042131	0.997893
91	0.00173092	0.00346185	0.998269
92	0.00193058	0.00386117	0.998069
93	0.00208973	0.00417947	0.99791
94	0.00182807	0.00365614	0.998172
95	0.00372749	0.00745498	0.996273
96	0.00297245	0.00594489	0.997028
97	0.00283908	0.00567816	0.997161
98	0.00318552	0.00637103	0.996814
99	0.00291615	0.0058323	0.997084
100	0.00423332	0.00846663	0.995767
101	0.00352386	0.00704772	0.996476
102	0.00344931	0.00689862	0.996551
103	0.00440283	0.00880565	0.995597
104	0.00386225	0.00772449	0.996138
105	0.00369669	0.00739337	0.996303
106	0.00450863	0.00901727	0.995491
107	0.00400956	0.00801911	0.99599
108	0.00413451	0.00826902	0.995865
109	0.00458173	0.00916346	0.995418
110	0.00499898	0.00999796	0.995001
111	0.0186926	0.0373852	0.981307
112	0.037511	0.0750221	0.962489
113	0.0345581	0.0691163	0.965442
114	0.0312862	0.0625723	0.968714
115	0.02991	0.0598201	0.97009
116	0.0793642	0.158728	0.920636
117	0.0800388	0.160078	0.919961
118	0.150525	0.30105	0.849475
119	0.206701	0.413402	0.793299
120	0.260739	0.521478	0.739261
121	0.24787	0.49574	0.75213
122	0.305416	0.610832	0.694584
123	0.427361	0.854723	0.572639
124	0.459803	0.919605	0.540197
125	0.445588	0.891176	0.554412
126	0.577291	0.845418	0.422709
127	0.570419	0.859161	0.429581
128	0.569766	0.860469	0.430234
129	0.551761	0.896477	0.448239
130	0.586866	0.826268	0.413134
131	0.571245	0.857511	0.428755
132	0.677321	0.645359	0.322679
133	0.65754	0.68492	0.34246
134	0.637471	0.725058	0.362529
135	0.648943	0.702113	0.351057
136	0.641367	0.717266	0.358633
137	0.646481	0.707038	0.353519
138	0.622182	0.755636	0.377818
139	0.608007	0.783986	0.391993
140	0.633532	0.732936	0.366468
141	0.694298	0.611404	0.305702
142	0.75492	0.490161	0.24508
143	0.753479	0.493042	0.246521
144	0.745976	0.508047	0.254024
145	0.774654	0.450692	0.225346
146	0.784953	0.430094	0.215047
147	0.805744	0.388512	0.194256
148	0.80849	0.38302	0.19151
149	0.821914	0.356172	0.178086
150	0.845763	0.308475	0.154237
151	0.832693	0.334614	0.167307
152	0.815475	0.369051	0.184525
153	0.799851	0.400298	0.200149
154	0.792602	0.414796	0.207398
155	0.810531	0.378939	0.189469
156	0.808738	0.382524	0.191262
157	0.798044	0.403912	0.201956
158	0.834362	0.331276	0.165638
159	0.855636	0.288729	0.144364
160	0.83676	0.326479	0.16324
161	0.818441	0.363118	0.181559
162	0.847449	0.305101	0.152551
163	0.840533	0.318934	0.159467
164	0.829893	0.340214	0.170107
165	0.825432	0.349136	0.174568
166	0.853187	0.293627	0.146813
167	0.846177	0.307645	0.153823
168	0.843968	0.312063	0.156032
169	0.830074	0.339852	0.169926
170	0.871032	0.257936	0.128968
171	0.863622	0.272755	0.136378
172	0.892321	0.215359	0.107679
173	0.87538	0.249241	0.12462
174	0.859453	0.281093	0.140547
175	0.853767	0.292467	0.146233
176	0.846505	0.306989	0.153495
177	0.871753	0.256494	0.128247
178	0.852841	0.294318	0.147159
179	0.836372	0.327255	0.163628
180	0.818841	0.362318	0.181159
181	0.835738	0.328525	0.164262
182	0.813006	0.373988	0.186994
183	0.890603	0.218794	0.109397
184	0.88263	0.23474	0.11737
185	0.920849	0.158302	0.0791512
186	0.906512	0.186977	0.0934883
187	0.891913	0.216174	0.108087
188	0.906413	0.187173	0.0935867
189	0.902005	0.19599	0.0979951
190	0.88509	0.22982	0.11491
191	0.878501	0.242997	0.121499
192	0.886797	0.226407	0.113203
193	0.868049	0.263902	0.131951
194	0.852855	0.29429	0.147145
195	0.831049	0.337903	0.168951
196	0.832979	0.334043	0.167021
197	0.819655	0.36069	0.180345
198	0.853411	0.293177	0.146589
199	0.887786	0.224428	0.112214
200	0.874823	0.250354	0.125177
201	0.855128	0.289745	0.144872
202	0.840705	0.31859	0.159295
203	0.823427	0.353146	0.176573
204	0.804977	0.390045	0.195023
205	0.802473	0.395053	0.197527
206	0.859754	0.280492	0.140246
207	0.837819	0.324361	0.162181
208	0.814374	0.371252	0.185626
209	0.791195	0.417611	0.208805
210	0.776896	0.446207	0.223104
211	0.748193	0.503614	0.251807
212	0.747758	0.504484	0.252242
213	0.724719	0.550562	0.275281
214	0.701171	0.597657	0.298829
215	0.764803	0.470394	0.235197
216	0.747929	0.504142	0.252071
217	0.727765	0.544471	0.272235
218	0.702063	0.595873	0.297937
219	0.66641	0.667179	0.33359
220	0.628788	0.742425	0.371212
221	0.625387	0.749227	0.374613
222	0.586935	0.82613	0.413065
223	0.563718	0.872564	0.436282
224	0.523962	0.952076	0.476038
225	0.544284	0.911432	0.455716
226	0.509537	0.980927	0.490463
227	0.482405	0.964811	0.517595
228	0.536543	0.926914	0.463457
229	0.685921	0.628159	0.314079
230	0.645412	0.709175	0.354588
231	0.611183	0.777635	0.388817
232	0.595131	0.809739	0.404869
233	0.561433	0.877134	0.438567
234	0.532841	0.934319	0.467159
235	0.490709	0.981418	0.509291
236	0.549948	0.900104	0.450052
237	0.595442	0.809116	0.404558
238	0.71161	0.57678	0.28839
239	0.775837	0.448326	0.224163
240	0.738849	0.522302	0.261151
241	0.705441	0.589119	0.294559
242	0.681335	0.63733	0.318665
243	0.933003	0.133994	0.066997
244	0.916024	0.167952	0.083976
245	0.893979	0.212043	0.106021
246	0.868871	0.262257	0.131129
247	0.83744	0.325119	0.16256
248	0.804825	0.39035	0.195175
249	0.767192	0.465616	0.232808
250	0.722917	0.554166	0.277083
251	0.832425	0.335151	0.167575
252	0.831634	0.336732	0.168366
253	0.816357	0.367287	0.183643
254	0.777764	0.444471	0.222236
255	0.78111	0.437779	0.21889
256	0.746939	0.506121	0.253061
257	0.774818	0.450363	0.225182
258	0.728743	0.542514	0.271257
259	0.675566	0.648869	0.324434
260	0.639754	0.720492	0.360246
261	0.573051	0.853899	0.426949
262	0.536289	0.927421	0.463711
263	0.473745	0.947489	0.526255
264	0.419109	0.838218	0.580891
265	0.729396	0.541208	0.270604
266	0.738781	0.522439	0.261219
267	0.681362	0.637275	0.318638
268	0.853048	0.293904	0.146952
269	0.858925	0.28215	0.141075
270	0.917177	0.165645	0.0828225
271	0.875983	0.248034	0.124017
272	0.843112	0.313777	0.156888
273	0.757671	0.484657	0.242329
274	0.640153	0.719695	0.359847
275	0.493975	0.98795	0.506025
276	0.344626	0.689253	0.655374
277	0.906899	0.186203	0.0931015

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	38	0.141791	NOK
5% type I error level	65	0.242537	NOK
10% type I error level	76	0.283582	NOK

\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 & 38 & 0.141791 & NOK \tabularnewline
5% type I error level & 65 & 0.242537 & NOK \tabularnewline
10% type I error level & 76 & 0.283582 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265608&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]38[/C][C]0.141791[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]65[/C][C]0.242537[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]76[/C][C]0.283582[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265608&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265608&T=6

As an alternative you can also use a 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 tests	OK/NOK
1% type I error level	38	0.141791	NOK
5% type I error level	65	0.242537	NOK
10% type I error level	76	0.283582	NOK

Figure 1

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Figure 7

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Figure 9

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Figure 10

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Parameters (Session):

par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;

Parameters (R input):

par1 = 1 ; 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')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code