Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_regression_trees1.wasp
Title produced by softwareRecursive Partitioning (Regression Trees)
Date of computationMon, 10 Dec 2012 14:46:25 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/10/t13551688054d8yhcx4bmpk7jb.htm/, Retrieved Fri, 29 Mar 2024 15:54:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=198307, Retrieved Fri, 29 Mar 2024 15:54:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact88
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Recursive Partitioning (Regression Trees)] [] [2010-12-05 18:59:57] [b98453cac15ba1066b407e146608df68]
- R PD    [Recursive Partitioning (Regression Trees)] [WS10 - F4] [2012-12-10 19:46:25] [0ab7a1f5c5e2896cc7067de738ff1e9d] [Current]
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Dataseries X:
1.593	1.613	1.524
1.619	1.638	1.486
1.619	1.638	1.486
1.618	1.638	1.486
1.618	1.638	1.486
1.618	1.638	1.486
1.653	1.673	1.523
1.653	1.673	1.523
1.653	1.673	1.523
1.653	1.673	1.523
1.653	1.673	1.523
1.653	1.673	1.523
1.653	1.673	1.523
1.653	1.673	1.55
1.667	1.688	1.55
1.667	1.688	1.55
1.667	1.688	1.55
1.667	1.688	1.55
1.667	1.688	1.55
1.667	1.688	1.55
1.667	1.688	1.516
1.667	1.688	1.516
1.667	1.688	1.516
1.667	1.688	1.516
1.667	1.688	1.516
1.667	1.688	1.516
1.667	1.688	1.516
1.667	1.688	1.516
1.667	1.688	1.498
1.667	1.688	1.498
1.667	1.688	1.498
1.667	1.688	1.498
1.667	1.688	1.498
1.667	1.688	1.498
1.667	1.688	1.498
1.667	1.688	1.498
1.667	1.688	1.498
1.667	1.688	1.498
1.667	1.688	1.498
1.667	1.688	1.542
1.667	1.688	1.542
1.667	1.688	1.526
1.687	1.707	1.526
1.687	1.707	1.526
1.687	1.707	1.526
1.687	1.707	1.526
1.687	1.707	1.526
1.687	1.707	1.526
1.687	1.707	1.55
1.687	1.707	1.55
1.687	1.707	1.55
1.687	1.707	1.55
1.713	1.733	1.55
1.713	1.733	1.55
1.713	1.733	1.55
1.713	1.733	1.55
1.713	1.733	1.55
1.713	1.733	1.55
1.713	1.733	1.55
1.713	1.733	1.55
1.713	1.733	1.55
1.713	1.733	1.55
1.713	1.733	1.55
1.713	1.733	1.55
1.713	1.733	1.55
1.713	1.733	1.55
1.741	1.76	1.55
1.741	1.76	1.55
1.741	1.76	1.55
1.741	1.76	1.55
1.741	1.76	1.55
1.741	1.76	1.55
1.741	1.76	1.55
1.741	1.76	1.55
1.741	1.76	1.55
1.741	1.76	1.579
1.769	1.789	1.579
1.769	1.789	1.579
1.769	1.789	1.579
1.769	1.789	1.579
1.769	1.789	1.579
1.769	1.789	1.579
1.769	1.789	1.579
1.769	1.789	1.579
1.743	1.762	1.552
1.743	1.762	1.552
1.743	1.762	1.552
1.743	1.762	1.552
1.743	1.762	1.552
1.743	1.762	1.552
1.789	1.808	1.552
1.789	1.808	1.552
1.789	1.808	1.552
1.789	1.808	1.552
1.789	1.809	1.553
1.789	1.809	1.553
1.789	1.809	1.553
1.789	1.809	1.553
1.804	1.824	1.553
1.804	1.824	1.553
1.804	1.824	1.553
1.804	1.824	1.553
1.804	1.824	1.553
1.804	1.824	1.553
1.804	1.824	1.553
1.804	1.824	1.553
1.804	1.824	1.553
1.804	1.824	1.553
1.804	1.824	1.553
1.804	1.824	1.553
1.777	1.797	1.553
1.777	1.797	1.538
1.777	1.797	1.538
1.777	1.797	1.538
1.777	1.797	1.538
1.777	1.797	1.538
1.777	1.797	1.538
1.736	1.756	1.538
1.736	1.756	1.538
1.736	1.756	1.538
1.736	1.756	1.538
1.736	1.756	1.538
1.736	1.756	1.538
1.736	1.756	1.538
1.736	1.756	1.538
1.736	1.756	1.538
1.719	1.759	1.538
1.719	1.759	1.538
1.719	1.759	1.538
1.719	1.759	1.538
1.719	1.759	1.538
1.719	1.759	1.503
1.719	1.759	1.503
1.719	1.759	1.503
1.719	1.759	1.503
1.719	1.759	1.503
1.693	1.733	1.503
1.693	1.733	1.503
1.693	1.733	1.503
1.693	1.733	1.503
1.693	1.733	1.503
1.693	1.733	1.503
1.693	1.733	1.503
1.693	1.733	1.503
1.693	1.733	1.503
1.693	1.733	1.503
1.693	1.733	1.503
1.693	1.733	1.503
1.693	1.733	1.503
1.693	1.733	1.503
1.693	1.733	1.503
1.693	1.733	1.503
1.71	1.752	1.503
1.71	1.752	1.503
1.71	1.752	1.503
1.71	1.752	1.503
1.71	1.752	1.503
1.71	1.752	1.467
1.71	1.752	1.467
1.687	1.729	1.467
1.687	1.729	1.467
1.687	1.729	1.467
1.687	1.729	1.467
1.687	1.729	1.467
1.687	1.729	1.467
1.659	1.7	1.467
1.659	1.7	1.467
1.659	1.7	1.467
1.659	1.7	1.467
1.659	1.7	1.467
1.659	1.7	1.467
1.659	1.7	1.467
1.659	1.7	1.45
1.659	1.7	1.45
1.641	1.682	1.45
1.641	1.682	1.45
1.641	1.682	1.45
1.641	1.682	1.45
1.641	1.682	1.45
1.641	1.682	1.45
1.641	1.682	1.45
1.641	1.682	1.45
1.641	1.682	1.45




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 6 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198307&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198307&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198307&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Goodness of Fit
Correlation0.7352
R-squared0.5405
RMSE0.0231

\begin{tabular}{lllllllll}
\hline
Goodness of Fit \tabularnewline
Correlation & 0.7352 \tabularnewline
R-squared & 0.5405 \tabularnewline
RMSE & 0.0231 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198307&T=1

[TABLE]
[ROW][C]Goodness of Fit[/C][/ROW]
[ROW][C]Correlation[/C][C]0.7352[/C][/ROW]
[ROW][C]R-squared[/C][C]0.5405[/C][/ROW]
[ROW][C]RMSE[/C][C]0.0231[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198307&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198307&T=1

As an alternative you can also use a QR Code:  

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

Goodness of Fit
Correlation0.7352
R-squared0.5405
RMSE0.0231







Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
11.5241.500555555555560.0234444444444444
21.4861.50055555555556-0.0145555555555557
31.4861.50055555555556-0.0145555555555557
41.4861.50055555555556-0.0145555555555557
51.4861.50055555555556-0.0145555555555557
61.4861.50055555555556-0.0145555555555557
71.5231.500555555555560.0224444444444443
81.5231.500555555555560.0224444444444443
91.5231.500555555555560.0224444444444443
101.5231.500555555555560.0224444444444443
111.5231.500555555555560.0224444444444443
121.5231.500555555555560.0224444444444443
131.5231.500555555555560.0224444444444443
141.551.500555555555560.0494444444444444
151.551.500555555555560.0494444444444444
161.551.500555555555560.0494444444444444
171.551.500555555555560.0494444444444444
181.551.500555555555560.0494444444444444
191.551.500555555555560.0494444444444444
201.551.500555555555560.0494444444444444
211.5161.500555555555560.0154444444444444
221.5161.500555555555560.0154444444444444
231.5161.500555555555560.0154444444444444
241.5161.500555555555560.0154444444444444
251.5161.500555555555560.0154444444444444
261.5161.500555555555560.0154444444444444
271.5161.500555555555560.0154444444444444
281.5161.500555555555560.0154444444444444
291.4981.50055555555556-0.00255555555555564
301.4981.50055555555556-0.00255555555555564
311.4981.50055555555556-0.00255555555555564
321.4981.50055555555556-0.00255555555555564
331.4981.50055555555556-0.00255555555555564
341.4981.50055555555556-0.00255555555555564
351.4981.50055555555556-0.00255555555555564
361.4981.50055555555556-0.00255555555555564
371.4981.50055555555556-0.00255555555555564
381.4981.50055555555556-0.00255555555555564
391.4981.50055555555556-0.00255555555555564
401.5421.500555555555560.0414444444444444
411.5421.500555555555560.0414444444444444
421.5261.500555555555560.0254444444444444
431.5261.500555555555560.0254444444444444
441.5261.500555555555560.0254444444444444
451.5261.500555555555560.0254444444444444
461.5261.500555555555560.0254444444444444
471.5261.500555555555560.0254444444444444
481.5261.500555555555560.0254444444444444
491.551.500555555555560.0494444444444444
501.551.500555555555560.0494444444444444
511.551.500555555555560.0494444444444444
521.551.500555555555560.0494444444444444
531.551.550
541.551.550
551.551.550
561.551.550
571.551.550
581.551.550
591.551.550
601.551.550
611.551.550
621.551.550
631.551.550
641.551.550
651.551.550
661.551.550
671.551.55509803921569-0.0050980392156863
681.551.55509803921569-0.0050980392156863
691.551.55509803921569-0.0050980392156863
701.551.55509803921569-0.0050980392156863
711.551.55509803921569-0.0050980392156863
721.551.55509803921569-0.0050980392156863
731.551.55509803921569-0.0050980392156863
741.551.55509803921569-0.0050980392156863
751.551.55509803921569-0.0050980392156863
761.5791.555098039215690.0239019607843136
771.5791.555098039215690.0239019607843136
781.5791.555098039215690.0239019607843136
791.5791.555098039215690.0239019607843136
801.5791.555098039215690.0239019607843136
811.5791.555098039215690.0239019607843136
821.5791.555098039215690.0239019607843136
831.5791.555098039215690.0239019607843136
841.5791.555098039215690.0239019607843136
851.5521.55509803921569-0.0030980392156863
861.5521.55509803921569-0.0030980392156863
871.5521.55509803921569-0.0030980392156863
881.5521.55509803921569-0.0030980392156863
891.5521.55509803921569-0.0030980392156863
901.5521.55509803921569-0.0030980392156863
911.5521.55509803921569-0.0030980392156863
921.5521.55509803921569-0.0030980392156863
931.5521.55509803921569-0.0030980392156863
941.5521.55509803921569-0.0030980392156863
951.5531.55509803921569-0.00209803921568641
961.5531.55509803921569-0.00209803921568641
971.5531.55509803921569-0.00209803921568641
981.5531.55509803921569-0.00209803921568641
991.5531.55509803921569-0.00209803921568641
1001.5531.55509803921569-0.00209803921568641
1011.5531.55509803921569-0.00209803921568641
1021.5531.55509803921569-0.00209803921568641
1031.5531.55509803921569-0.00209803921568641
1041.5531.55509803921569-0.00209803921568641
1051.5531.55509803921569-0.00209803921568641
1061.5531.55509803921569-0.00209803921568641
1071.5531.55509803921569-0.00209803921568641
1081.5531.55509803921569-0.00209803921568641
1091.5531.55509803921569-0.00209803921568641
1101.5531.55509803921569-0.00209803921568641
1111.5531.55509803921569-0.00209803921568641
1121.5381.55509803921569-0.0170980392156863
1131.5381.55509803921569-0.0170980392156863
1141.5381.55509803921569-0.0170980392156863
1151.5381.55509803921569-0.0170980392156863
1161.5381.55509803921569-0.0170980392156863
1171.5381.55509803921569-0.0170980392156863
1181.5381.5380
1191.5381.5380
1201.5381.5380
1211.5381.5380
1221.5381.5380
1231.5381.5380
1241.5381.5380
1251.5381.5380
1261.5381.5380
1271.5381.52050.0175000000000001
1281.5381.52050.0175000000000001
1291.5381.52050.0175000000000001
1301.5381.52050.0175000000000001
1311.5381.52050.0175000000000001
1321.5031.5205-0.0175000000000001
1331.5031.5205-0.0175000000000001
1341.5031.5205-0.0175000000000001
1351.5031.5205-0.0175000000000001
1361.5031.5205-0.0175000000000001
1371.5031.500555555555560.00244444444444425
1381.5031.500555555555560.00244444444444425
1391.5031.500555555555560.00244444444444425
1401.5031.500555555555560.00244444444444425
1411.5031.500555555555560.00244444444444425
1421.5031.500555555555560.00244444444444425
1431.5031.500555555555560.00244444444444425
1441.5031.500555555555560.00244444444444425
1451.5031.500555555555560.00244444444444425
1461.5031.500555555555560.00244444444444425
1471.5031.500555555555560.00244444444444425
1481.5031.500555555555560.00244444444444425
1491.5031.500555555555560.00244444444444425
1501.5031.500555555555560.00244444444444425
1511.5031.500555555555560.00244444444444425
1521.5031.500555555555560.00244444444444425
1531.5031.500555555555560.00244444444444425
1541.5031.500555555555560.00244444444444425
1551.5031.500555555555560.00244444444444425
1561.5031.500555555555560.00244444444444425
1571.5031.500555555555560.00244444444444425
1581.4671.50055555555556-0.0335555555555556
1591.4671.50055555555556-0.0335555555555556
1601.4671.50055555555556-0.0335555555555556
1611.4671.50055555555556-0.0335555555555556
1621.4671.50055555555556-0.0335555555555556
1631.4671.50055555555556-0.0335555555555556
1641.4671.50055555555556-0.0335555555555556
1651.4671.50055555555556-0.0335555555555556
1661.4671.50055555555556-0.0335555555555556
1671.4671.50055555555556-0.0335555555555556
1681.4671.50055555555556-0.0335555555555556
1691.4671.50055555555556-0.0335555555555556
1701.4671.50055555555556-0.0335555555555556
1711.4671.50055555555556-0.0335555555555556
1721.4671.50055555555556-0.0335555555555556
1731.451.50055555555556-0.0505555555555557
1741.451.50055555555556-0.0505555555555557
1751.451.50055555555556-0.0505555555555557
1761.451.50055555555556-0.0505555555555557
1771.451.50055555555556-0.0505555555555557
1781.451.50055555555556-0.0505555555555557
1791.451.50055555555556-0.0505555555555557
1801.451.50055555555556-0.0505555555555557
1811.451.50055555555556-0.0505555555555557
1821.451.50055555555556-0.0505555555555557
1831.451.50055555555556-0.0505555555555557

\begin{tabular}{lllllllll}
\hline
Actuals, Predictions, and Residuals \tabularnewline
# & Actuals & Forecasts & Residuals \tabularnewline
1 & 1.524 & 1.50055555555556 & 0.0234444444444444 \tabularnewline
2 & 1.486 & 1.50055555555556 & -0.0145555555555557 \tabularnewline
3 & 1.486 & 1.50055555555556 & -0.0145555555555557 \tabularnewline
4 & 1.486 & 1.50055555555556 & -0.0145555555555557 \tabularnewline
5 & 1.486 & 1.50055555555556 & -0.0145555555555557 \tabularnewline
6 & 1.486 & 1.50055555555556 & -0.0145555555555557 \tabularnewline
7 & 1.523 & 1.50055555555556 & 0.0224444444444443 \tabularnewline
8 & 1.523 & 1.50055555555556 & 0.0224444444444443 \tabularnewline
9 & 1.523 & 1.50055555555556 & 0.0224444444444443 \tabularnewline
10 & 1.523 & 1.50055555555556 & 0.0224444444444443 \tabularnewline
11 & 1.523 & 1.50055555555556 & 0.0224444444444443 \tabularnewline
12 & 1.523 & 1.50055555555556 & 0.0224444444444443 \tabularnewline
13 & 1.523 & 1.50055555555556 & 0.0224444444444443 \tabularnewline
14 & 1.55 & 1.50055555555556 & 0.0494444444444444 \tabularnewline
15 & 1.55 & 1.50055555555556 & 0.0494444444444444 \tabularnewline
16 & 1.55 & 1.50055555555556 & 0.0494444444444444 \tabularnewline
17 & 1.55 & 1.50055555555556 & 0.0494444444444444 \tabularnewline
18 & 1.55 & 1.50055555555556 & 0.0494444444444444 \tabularnewline
19 & 1.55 & 1.50055555555556 & 0.0494444444444444 \tabularnewline
20 & 1.55 & 1.50055555555556 & 0.0494444444444444 \tabularnewline
21 & 1.516 & 1.50055555555556 & 0.0154444444444444 \tabularnewline
22 & 1.516 & 1.50055555555556 & 0.0154444444444444 \tabularnewline
23 & 1.516 & 1.50055555555556 & 0.0154444444444444 \tabularnewline
24 & 1.516 & 1.50055555555556 & 0.0154444444444444 \tabularnewline
25 & 1.516 & 1.50055555555556 & 0.0154444444444444 \tabularnewline
26 & 1.516 & 1.50055555555556 & 0.0154444444444444 \tabularnewline
27 & 1.516 & 1.50055555555556 & 0.0154444444444444 \tabularnewline
28 & 1.516 & 1.50055555555556 & 0.0154444444444444 \tabularnewline
29 & 1.498 & 1.50055555555556 & -0.00255555555555564 \tabularnewline
30 & 1.498 & 1.50055555555556 & -0.00255555555555564 \tabularnewline
31 & 1.498 & 1.50055555555556 & -0.00255555555555564 \tabularnewline
32 & 1.498 & 1.50055555555556 & -0.00255555555555564 \tabularnewline
33 & 1.498 & 1.50055555555556 & -0.00255555555555564 \tabularnewline
34 & 1.498 & 1.50055555555556 & -0.00255555555555564 \tabularnewline
35 & 1.498 & 1.50055555555556 & -0.00255555555555564 \tabularnewline
36 & 1.498 & 1.50055555555556 & -0.00255555555555564 \tabularnewline
37 & 1.498 & 1.50055555555556 & -0.00255555555555564 \tabularnewline
38 & 1.498 & 1.50055555555556 & -0.00255555555555564 \tabularnewline
39 & 1.498 & 1.50055555555556 & -0.00255555555555564 \tabularnewline
40 & 1.542 & 1.50055555555556 & 0.0414444444444444 \tabularnewline
41 & 1.542 & 1.50055555555556 & 0.0414444444444444 \tabularnewline
42 & 1.526 & 1.50055555555556 & 0.0254444444444444 \tabularnewline
43 & 1.526 & 1.50055555555556 & 0.0254444444444444 \tabularnewline
44 & 1.526 & 1.50055555555556 & 0.0254444444444444 \tabularnewline
45 & 1.526 & 1.50055555555556 & 0.0254444444444444 \tabularnewline
46 & 1.526 & 1.50055555555556 & 0.0254444444444444 \tabularnewline
47 & 1.526 & 1.50055555555556 & 0.0254444444444444 \tabularnewline
48 & 1.526 & 1.50055555555556 & 0.0254444444444444 \tabularnewline
49 & 1.55 & 1.50055555555556 & 0.0494444444444444 \tabularnewline
50 & 1.55 & 1.50055555555556 & 0.0494444444444444 \tabularnewline
51 & 1.55 & 1.50055555555556 & 0.0494444444444444 \tabularnewline
52 & 1.55 & 1.50055555555556 & 0.0494444444444444 \tabularnewline
53 & 1.55 & 1.55 & 0 \tabularnewline
54 & 1.55 & 1.55 & 0 \tabularnewline
55 & 1.55 & 1.55 & 0 \tabularnewline
56 & 1.55 & 1.55 & 0 \tabularnewline
57 & 1.55 & 1.55 & 0 \tabularnewline
58 & 1.55 & 1.55 & 0 \tabularnewline
59 & 1.55 & 1.55 & 0 \tabularnewline
60 & 1.55 & 1.55 & 0 \tabularnewline
61 & 1.55 & 1.55 & 0 \tabularnewline
62 & 1.55 & 1.55 & 0 \tabularnewline
63 & 1.55 & 1.55 & 0 \tabularnewline
64 & 1.55 & 1.55 & 0 \tabularnewline
65 & 1.55 & 1.55 & 0 \tabularnewline
66 & 1.55 & 1.55 & 0 \tabularnewline
67 & 1.55 & 1.55509803921569 & -0.0050980392156863 \tabularnewline
68 & 1.55 & 1.55509803921569 & -0.0050980392156863 \tabularnewline
69 & 1.55 & 1.55509803921569 & -0.0050980392156863 \tabularnewline
70 & 1.55 & 1.55509803921569 & -0.0050980392156863 \tabularnewline
71 & 1.55 & 1.55509803921569 & -0.0050980392156863 \tabularnewline
72 & 1.55 & 1.55509803921569 & -0.0050980392156863 \tabularnewline
73 & 1.55 & 1.55509803921569 & -0.0050980392156863 \tabularnewline
74 & 1.55 & 1.55509803921569 & -0.0050980392156863 \tabularnewline
75 & 1.55 & 1.55509803921569 & -0.0050980392156863 \tabularnewline
76 & 1.579 & 1.55509803921569 & 0.0239019607843136 \tabularnewline
77 & 1.579 & 1.55509803921569 & 0.0239019607843136 \tabularnewline
78 & 1.579 & 1.55509803921569 & 0.0239019607843136 \tabularnewline
79 & 1.579 & 1.55509803921569 & 0.0239019607843136 \tabularnewline
80 & 1.579 & 1.55509803921569 & 0.0239019607843136 \tabularnewline
81 & 1.579 & 1.55509803921569 & 0.0239019607843136 \tabularnewline
82 & 1.579 & 1.55509803921569 & 0.0239019607843136 \tabularnewline
83 & 1.579 & 1.55509803921569 & 0.0239019607843136 \tabularnewline
84 & 1.579 & 1.55509803921569 & 0.0239019607843136 \tabularnewline
85 & 1.552 & 1.55509803921569 & -0.0030980392156863 \tabularnewline
86 & 1.552 & 1.55509803921569 & -0.0030980392156863 \tabularnewline
87 & 1.552 & 1.55509803921569 & -0.0030980392156863 \tabularnewline
88 & 1.552 & 1.55509803921569 & -0.0030980392156863 \tabularnewline
89 & 1.552 & 1.55509803921569 & -0.0030980392156863 \tabularnewline
90 & 1.552 & 1.55509803921569 & -0.0030980392156863 \tabularnewline
91 & 1.552 & 1.55509803921569 & -0.0030980392156863 \tabularnewline
92 & 1.552 & 1.55509803921569 & -0.0030980392156863 \tabularnewline
93 & 1.552 & 1.55509803921569 & -0.0030980392156863 \tabularnewline
94 & 1.552 & 1.55509803921569 & -0.0030980392156863 \tabularnewline
95 & 1.553 & 1.55509803921569 & -0.00209803921568641 \tabularnewline
96 & 1.553 & 1.55509803921569 & -0.00209803921568641 \tabularnewline
97 & 1.553 & 1.55509803921569 & -0.00209803921568641 \tabularnewline
98 & 1.553 & 1.55509803921569 & -0.00209803921568641 \tabularnewline
99 & 1.553 & 1.55509803921569 & -0.00209803921568641 \tabularnewline
100 & 1.553 & 1.55509803921569 & -0.00209803921568641 \tabularnewline
101 & 1.553 & 1.55509803921569 & -0.00209803921568641 \tabularnewline
102 & 1.553 & 1.55509803921569 & -0.00209803921568641 \tabularnewline
103 & 1.553 & 1.55509803921569 & -0.00209803921568641 \tabularnewline
104 & 1.553 & 1.55509803921569 & -0.00209803921568641 \tabularnewline
105 & 1.553 & 1.55509803921569 & -0.00209803921568641 \tabularnewline
106 & 1.553 & 1.55509803921569 & -0.00209803921568641 \tabularnewline
107 & 1.553 & 1.55509803921569 & -0.00209803921568641 \tabularnewline
108 & 1.553 & 1.55509803921569 & -0.00209803921568641 \tabularnewline
109 & 1.553 & 1.55509803921569 & -0.00209803921568641 \tabularnewline
110 & 1.553 & 1.55509803921569 & -0.00209803921568641 \tabularnewline
111 & 1.553 & 1.55509803921569 & -0.00209803921568641 \tabularnewline
112 & 1.538 & 1.55509803921569 & -0.0170980392156863 \tabularnewline
113 & 1.538 & 1.55509803921569 & -0.0170980392156863 \tabularnewline
114 & 1.538 & 1.55509803921569 & -0.0170980392156863 \tabularnewline
115 & 1.538 & 1.55509803921569 & -0.0170980392156863 \tabularnewline
116 & 1.538 & 1.55509803921569 & -0.0170980392156863 \tabularnewline
117 & 1.538 & 1.55509803921569 & -0.0170980392156863 \tabularnewline
118 & 1.538 & 1.538 & 0 \tabularnewline
119 & 1.538 & 1.538 & 0 \tabularnewline
120 & 1.538 & 1.538 & 0 \tabularnewline
121 & 1.538 & 1.538 & 0 \tabularnewline
122 & 1.538 & 1.538 & 0 \tabularnewline
123 & 1.538 & 1.538 & 0 \tabularnewline
124 & 1.538 & 1.538 & 0 \tabularnewline
125 & 1.538 & 1.538 & 0 \tabularnewline
126 & 1.538 & 1.538 & 0 \tabularnewline
127 & 1.538 & 1.5205 & 0.0175000000000001 \tabularnewline
128 & 1.538 & 1.5205 & 0.0175000000000001 \tabularnewline
129 & 1.538 & 1.5205 & 0.0175000000000001 \tabularnewline
130 & 1.538 & 1.5205 & 0.0175000000000001 \tabularnewline
131 & 1.538 & 1.5205 & 0.0175000000000001 \tabularnewline
132 & 1.503 & 1.5205 & -0.0175000000000001 \tabularnewline
133 & 1.503 & 1.5205 & -0.0175000000000001 \tabularnewline
134 & 1.503 & 1.5205 & -0.0175000000000001 \tabularnewline
135 & 1.503 & 1.5205 & -0.0175000000000001 \tabularnewline
136 & 1.503 & 1.5205 & -0.0175000000000001 \tabularnewline
137 & 1.503 & 1.50055555555556 & 0.00244444444444425 \tabularnewline
138 & 1.503 & 1.50055555555556 & 0.00244444444444425 \tabularnewline
139 & 1.503 & 1.50055555555556 & 0.00244444444444425 \tabularnewline
140 & 1.503 & 1.50055555555556 & 0.00244444444444425 \tabularnewline
141 & 1.503 & 1.50055555555556 & 0.00244444444444425 \tabularnewline
142 & 1.503 & 1.50055555555556 & 0.00244444444444425 \tabularnewline
143 & 1.503 & 1.50055555555556 & 0.00244444444444425 \tabularnewline
144 & 1.503 & 1.50055555555556 & 0.00244444444444425 \tabularnewline
145 & 1.503 & 1.50055555555556 & 0.00244444444444425 \tabularnewline
146 & 1.503 & 1.50055555555556 & 0.00244444444444425 \tabularnewline
147 & 1.503 & 1.50055555555556 & 0.00244444444444425 \tabularnewline
148 & 1.503 & 1.50055555555556 & 0.00244444444444425 \tabularnewline
149 & 1.503 & 1.50055555555556 & 0.00244444444444425 \tabularnewline
150 & 1.503 & 1.50055555555556 & 0.00244444444444425 \tabularnewline
151 & 1.503 & 1.50055555555556 & 0.00244444444444425 \tabularnewline
152 & 1.503 & 1.50055555555556 & 0.00244444444444425 \tabularnewline
153 & 1.503 & 1.50055555555556 & 0.00244444444444425 \tabularnewline
154 & 1.503 & 1.50055555555556 & 0.00244444444444425 \tabularnewline
155 & 1.503 & 1.50055555555556 & 0.00244444444444425 \tabularnewline
156 & 1.503 & 1.50055555555556 & 0.00244444444444425 \tabularnewline
157 & 1.503 & 1.50055555555556 & 0.00244444444444425 \tabularnewline
158 & 1.467 & 1.50055555555556 & -0.0335555555555556 \tabularnewline
159 & 1.467 & 1.50055555555556 & -0.0335555555555556 \tabularnewline
160 & 1.467 & 1.50055555555556 & -0.0335555555555556 \tabularnewline
161 & 1.467 & 1.50055555555556 & -0.0335555555555556 \tabularnewline
162 & 1.467 & 1.50055555555556 & -0.0335555555555556 \tabularnewline
163 & 1.467 & 1.50055555555556 & -0.0335555555555556 \tabularnewline
164 & 1.467 & 1.50055555555556 & -0.0335555555555556 \tabularnewline
165 & 1.467 & 1.50055555555556 & -0.0335555555555556 \tabularnewline
166 & 1.467 & 1.50055555555556 & -0.0335555555555556 \tabularnewline
167 & 1.467 & 1.50055555555556 & -0.0335555555555556 \tabularnewline
168 & 1.467 & 1.50055555555556 & -0.0335555555555556 \tabularnewline
169 & 1.467 & 1.50055555555556 & -0.0335555555555556 \tabularnewline
170 & 1.467 & 1.50055555555556 & -0.0335555555555556 \tabularnewline
171 & 1.467 & 1.50055555555556 & -0.0335555555555556 \tabularnewline
172 & 1.467 & 1.50055555555556 & -0.0335555555555556 \tabularnewline
173 & 1.45 & 1.50055555555556 & -0.0505555555555557 \tabularnewline
174 & 1.45 & 1.50055555555556 & -0.0505555555555557 \tabularnewline
175 & 1.45 & 1.50055555555556 & -0.0505555555555557 \tabularnewline
176 & 1.45 & 1.50055555555556 & -0.0505555555555557 \tabularnewline
177 & 1.45 & 1.50055555555556 & -0.0505555555555557 \tabularnewline
178 & 1.45 & 1.50055555555556 & -0.0505555555555557 \tabularnewline
179 & 1.45 & 1.50055555555556 & -0.0505555555555557 \tabularnewline
180 & 1.45 & 1.50055555555556 & -0.0505555555555557 \tabularnewline
181 & 1.45 & 1.50055555555556 & -0.0505555555555557 \tabularnewline
182 & 1.45 & 1.50055555555556 & -0.0505555555555557 \tabularnewline
183 & 1.45 & 1.50055555555556 & -0.0505555555555557 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198307&T=2

[TABLE]
[ROW][C]Actuals, Predictions, and Residuals[/C][/ROW]
[ROW][C]#[/C][C]Actuals[/C][C]Forecasts[/C][C]Residuals[/C][/ROW]
[ROW][C]1[/C][C]1.524[/C][C]1.50055555555556[/C][C]0.0234444444444444[/C][/ROW]
[ROW][C]2[/C][C]1.486[/C][C]1.50055555555556[/C][C]-0.0145555555555557[/C][/ROW]
[ROW][C]3[/C][C]1.486[/C][C]1.50055555555556[/C][C]-0.0145555555555557[/C][/ROW]
[ROW][C]4[/C][C]1.486[/C][C]1.50055555555556[/C][C]-0.0145555555555557[/C][/ROW]
[ROW][C]5[/C][C]1.486[/C][C]1.50055555555556[/C][C]-0.0145555555555557[/C][/ROW]
[ROW][C]6[/C][C]1.486[/C][C]1.50055555555556[/C][C]-0.0145555555555557[/C][/ROW]
[ROW][C]7[/C][C]1.523[/C][C]1.50055555555556[/C][C]0.0224444444444443[/C][/ROW]
[ROW][C]8[/C][C]1.523[/C][C]1.50055555555556[/C][C]0.0224444444444443[/C][/ROW]
[ROW][C]9[/C][C]1.523[/C][C]1.50055555555556[/C][C]0.0224444444444443[/C][/ROW]
[ROW][C]10[/C][C]1.523[/C][C]1.50055555555556[/C][C]0.0224444444444443[/C][/ROW]
[ROW][C]11[/C][C]1.523[/C][C]1.50055555555556[/C][C]0.0224444444444443[/C][/ROW]
[ROW][C]12[/C][C]1.523[/C][C]1.50055555555556[/C][C]0.0224444444444443[/C][/ROW]
[ROW][C]13[/C][C]1.523[/C][C]1.50055555555556[/C][C]0.0224444444444443[/C][/ROW]
[ROW][C]14[/C][C]1.55[/C][C]1.50055555555556[/C][C]0.0494444444444444[/C][/ROW]
[ROW][C]15[/C][C]1.55[/C][C]1.50055555555556[/C][C]0.0494444444444444[/C][/ROW]
[ROW][C]16[/C][C]1.55[/C][C]1.50055555555556[/C][C]0.0494444444444444[/C][/ROW]
[ROW][C]17[/C][C]1.55[/C][C]1.50055555555556[/C][C]0.0494444444444444[/C][/ROW]
[ROW][C]18[/C][C]1.55[/C][C]1.50055555555556[/C][C]0.0494444444444444[/C][/ROW]
[ROW][C]19[/C][C]1.55[/C][C]1.50055555555556[/C][C]0.0494444444444444[/C][/ROW]
[ROW][C]20[/C][C]1.55[/C][C]1.50055555555556[/C][C]0.0494444444444444[/C][/ROW]
[ROW][C]21[/C][C]1.516[/C][C]1.50055555555556[/C][C]0.0154444444444444[/C][/ROW]
[ROW][C]22[/C][C]1.516[/C][C]1.50055555555556[/C][C]0.0154444444444444[/C][/ROW]
[ROW][C]23[/C][C]1.516[/C][C]1.50055555555556[/C][C]0.0154444444444444[/C][/ROW]
[ROW][C]24[/C][C]1.516[/C][C]1.50055555555556[/C][C]0.0154444444444444[/C][/ROW]
[ROW][C]25[/C][C]1.516[/C][C]1.50055555555556[/C][C]0.0154444444444444[/C][/ROW]
[ROW][C]26[/C][C]1.516[/C][C]1.50055555555556[/C][C]0.0154444444444444[/C][/ROW]
[ROW][C]27[/C][C]1.516[/C][C]1.50055555555556[/C][C]0.0154444444444444[/C][/ROW]
[ROW][C]28[/C][C]1.516[/C][C]1.50055555555556[/C][C]0.0154444444444444[/C][/ROW]
[ROW][C]29[/C][C]1.498[/C][C]1.50055555555556[/C][C]-0.00255555555555564[/C][/ROW]
[ROW][C]30[/C][C]1.498[/C][C]1.50055555555556[/C][C]-0.00255555555555564[/C][/ROW]
[ROW][C]31[/C][C]1.498[/C][C]1.50055555555556[/C][C]-0.00255555555555564[/C][/ROW]
[ROW][C]32[/C][C]1.498[/C][C]1.50055555555556[/C][C]-0.00255555555555564[/C][/ROW]
[ROW][C]33[/C][C]1.498[/C][C]1.50055555555556[/C][C]-0.00255555555555564[/C][/ROW]
[ROW][C]34[/C][C]1.498[/C][C]1.50055555555556[/C][C]-0.00255555555555564[/C][/ROW]
[ROW][C]35[/C][C]1.498[/C][C]1.50055555555556[/C][C]-0.00255555555555564[/C][/ROW]
[ROW][C]36[/C][C]1.498[/C][C]1.50055555555556[/C][C]-0.00255555555555564[/C][/ROW]
[ROW][C]37[/C][C]1.498[/C][C]1.50055555555556[/C][C]-0.00255555555555564[/C][/ROW]
[ROW][C]38[/C][C]1.498[/C][C]1.50055555555556[/C][C]-0.00255555555555564[/C][/ROW]
[ROW][C]39[/C][C]1.498[/C][C]1.50055555555556[/C][C]-0.00255555555555564[/C][/ROW]
[ROW][C]40[/C][C]1.542[/C][C]1.50055555555556[/C][C]0.0414444444444444[/C][/ROW]
[ROW][C]41[/C][C]1.542[/C][C]1.50055555555556[/C][C]0.0414444444444444[/C][/ROW]
[ROW][C]42[/C][C]1.526[/C][C]1.50055555555556[/C][C]0.0254444444444444[/C][/ROW]
[ROW][C]43[/C][C]1.526[/C][C]1.50055555555556[/C][C]0.0254444444444444[/C][/ROW]
[ROW][C]44[/C][C]1.526[/C][C]1.50055555555556[/C][C]0.0254444444444444[/C][/ROW]
[ROW][C]45[/C][C]1.526[/C][C]1.50055555555556[/C][C]0.0254444444444444[/C][/ROW]
[ROW][C]46[/C][C]1.526[/C][C]1.50055555555556[/C][C]0.0254444444444444[/C][/ROW]
[ROW][C]47[/C][C]1.526[/C][C]1.50055555555556[/C][C]0.0254444444444444[/C][/ROW]
[ROW][C]48[/C][C]1.526[/C][C]1.50055555555556[/C][C]0.0254444444444444[/C][/ROW]
[ROW][C]49[/C][C]1.55[/C][C]1.50055555555556[/C][C]0.0494444444444444[/C][/ROW]
[ROW][C]50[/C][C]1.55[/C][C]1.50055555555556[/C][C]0.0494444444444444[/C][/ROW]
[ROW][C]51[/C][C]1.55[/C][C]1.50055555555556[/C][C]0.0494444444444444[/C][/ROW]
[ROW][C]52[/C][C]1.55[/C][C]1.50055555555556[/C][C]0.0494444444444444[/C][/ROW]
[ROW][C]53[/C][C]1.55[/C][C]1.55[/C][C]0[/C][/ROW]
[ROW][C]54[/C][C]1.55[/C][C]1.55[/C][C]0[/C][/ROW]
[ROW][C]55[/C][C]1.55[/C][C]1.55[/C][C]0[/C][/ROW]
[ROW][C]56[/C][C]1.55[/C][C]1.55[/C][C]0[/C][/ROW]
[ROW][C]57[/C][C]1.55[/C][C]1.55[/C][C]0[/C][/ROW]
[ROW][C]58[/C][C]1.55[/C][C]1.55[/C][C]0[/C][/ROW]
[ROW][C]59[/C][C]1.55[/C][C]1.55[/C][C]0[/C][/ROW]
[ROW][C]60[/C][C]1.55[/C][C]1.55[/C][C]0[/C][/ROW]
[ROW][C]61[/C][C]1.55[/C][C]1.55[/C][C]0[/C][/ROW]
[ROW][C]62[/C][C]1.55[/C][C]1.55[/C][C]0[/C][/ROW]
[ROW][C]63[/C][C]1.55[/C][C]1.55[/C][C]0[/C][/ROW]
[ROW][C]64[/C][C]1.55[/C][C]1.55[/C][C]0[/C][/ROW]
[ROW][C]65[/C][C]1.55[/C][C]1.55[/C][C]0[/C][/ROW]
[ROW][C]66[/C][C]1.55[/C][C]1.55[/C][C]0[/C][/ROW]
[ROW][C]67[/C][C]1.55[/C][C]1.55509803921569[/C][C]-0.0050980392156863[/C][/ROW]
[ROW][C]68[/C][C]1.55[/C][C]1.55509803921569[/C][C]-0.0050980392156863[/C][/ROW]
[ROW][C]69[/C][C]1.55[/C][C]1.55509803921569[/C][C]-0.0050980392156863[/C][/ROW]
[ROW][C]70[/C][C]1.55[/C][C]1.55509803921569[/C][C]-0.0050980392156863[/C][/ROW]
[ROW][C]71[/C][C]1.55[/C][C]1.55509803921569[/C][C]-0.0050980392156863[/C][/ROW]
[ROW][C]72[/C][C]1.55[/C][C]1.55509803921569[/C][C]-0.0050980392156863[/C][/ROW]
[ROW][C]73[/C][C]1.55[/C][C]1.55509803921569[/C][C]-0.0050980392156863[/C][/ROW]
[ROW][C]74[/C][C]1.55[/C][C]1.55509803921569[/C][C]-0.0050980392156863[/C][/ROW]
[ROW][C]75[/C][C]1.55[/C][C]1.55509803921569[/C][C]-0.0050980392156863[/C][/ROW]
[ROW][C]76[/C][C]1.579[/C][C]1.55509803921569[/C][C]0.0239019607843136[/C][/ROW]
[ROW][C]77[/C][C]1.579[/C][C]1.55509803921569[/C][C]0.0239019607843136[/C][/ROW]
[ROW][C]78[/C][C]1.579[/C][C]1.55509803921569[/C][C]0.0239019607843136[/C][/ROW]
[ROW][C]79[/C][C]1.579[/C][C]1.55509803921569[/C][C]0.0239019607843136[/C][/ROW]
[ROW][C]80[/C][C]1.579[/C][C]1.55509803921569[/C][C]0.0239019607843136[/C][/ROW]
[ROW][C]81[/C][C]1.579[/C][C]1.55509803921569[/C][C]0.0239019607843136[/C][/ROW]
[ROW][C]82[/C][C]1.579[/C][C]1.55509803921569[/C][C]0.0239019607843136[/C][/ROW]
[ROW][C]83[/C][C]1.579[/C][C]1.55509803921569[/C][C]0.0239019607843136[/C][/ROW]
[ROW][C]84[/C][C]1.579[/C][C]1.55509803921569[/C][C]0.0239019607843136[/C][/ROW]
[ROW][C]85[/C][C]1.552[/C][C]1.55509803921569[/C][C]-0.0030980392156863[/C][/ROW]
[ROW][C]86[/C][C]1.552[/C][C]1.55509803921569[/C][C]-0.0030980392156863[/C][/ROW]
[ROW][C]87[/C][C]1.552[/C][C]1.55509803921569[/C][C]-0.0030980392156863[/C][/ROW]
[ROW][C]88[/C][C]1.552[/C][C]1.55509803921569[/C][C]-0.0030980392156863[/C][/ROW]
[ROW][C]89[/C][C]1.552[/C][C]1.55509803921569[/C][C]-0.0030980392156863[/C][/ROW]
[ROW][C]90[/C][C]1.552[/C][C]1.55509803921569[/C][C]-0.0030980392156863[/C][/ROW]
[ROW][C]91[/C][C]1.552[/C][C]1.55509803921569[/C][C]-0.0030980392156863[/C][/ROW]
[ROW][C]92[/C][C]1.552[/C][C]1.55509803921569[/C][C]-0.0030980392156863[/C][/ROW]
[ROW][C]93[/C][C]1.552[/C][C]1.55509803921569[/C][C]-0.0030980392156863[/C][/ROW]
[ROW][C]94[/C][C]1.552[/C][C]1.55509803921569[/C][C]-0.0030980392156863[/C][/ROW]
[ROW][C]95[/C][C]1.553[/C][C]1.55509803921569[/C][C]-0.00209803921568641[/C][/ROW]
[ROW][C]96[/C][C]1.553[/C][C]1.55509803921569[/C][C]-0.00209803921568641[/C][/ROW]
[ROW][C]97[/C][C]1.553[/C][C]1.55509803921569[/C][C]-0.00209803921568641[/C][/ROW]
[ROW][C]98[/C][C]1.553[/C][C]1.55509803921569[/C][C]-0.00209803921568641[/C][/ROW]
[ROW][C]99[/C][C]1.553[/C][C]1.55509803921569[/C][C]-0.00209803921568641[/C][/ROW]
[ROW][C]100[/C][C]1.553[/C][C]1.55509803921569[/C][C]-0.00209803921568641[/C][/ROW]
[ROW][C]101[/C][C]1.553[/C][C]1.55509803921569[/C][C]-0.00209803921568641[/C][/ROW]
[ROW][C]102[/C][C]1.553[/C][C]1.55509803921569[/C][C]-0.00209803921568641[/C][/ROW]
[ROW][C]103[/C][C]1.553[/C][C]1.55509803921569[/C][C]-0.00209803921568641[/C][/ROW]
[ROW][C]104[/C][C]1.553[/C][C]1.55509803921569[/C][C]-0.00209803921568641[/C][/ROW]
[ROW][C]105[/C][C]1.553[/C][C]1.55509803921569[/C][C]-0.00209803921568641[/C][/ROW]
[ROW][C]106[/C][C]1.553[/C][C]1.55509803921569[/C][C]-0.00209803921568641[/C][/ROW]
[ROW][C]107[/C][C]1.553[/C][C]1.55509803921569[/C][C]-0.00209803921568641[/C][/ROW]
[ROW][C]108[/C][C]1.553[/C][C]1.55509803921569[/C][C]-0.00209803921568641[/C][/ROW]
[ROW][C]109[/C][C]1.553[/C][C]1.55509803921569[/C][C]-0.00209803921568641[/C][/ROW]
[ROW][C]110[/C][C]1.553[/C][C]1.55509803921569[/C][C]-0.00209803921568641[/C][/ROW]
[ROW][C]111[/C][C]1.553[/C][C]1.55509803921569[/C][C]-0.00209803921568641[/C][/ROW]
[ROW][C]112[/C][C]1.538[/C][C]1.55509803921569[/C][C]-0.0170980392156863[/C][/ROW]
[ROW][C]113[/C][C]1.538[/C][C]1.55509803921569[/C][C]-0.0170980392156863[/C][/ROW]
[ROW][C]114[/C][C]1.538[/C][C]1.55509803921569[/C][C]-0.0170980392156863[/C][/ROW]
[ROW][C]115[/C][C]1.538[/C][C]1.55509803921569[/C][C]-0.0170980392156863[/C][/ROW]
[ROW][C]116[/C][C]1.538[/C][C]1.55509803921569[/C][C]-0.0170980392156863[/C][/ROW]
[ROW][C]117[/C][C]1.538[/C][C]1.55509803921569[/C][C]-0.0170980392156863[/C][/ROW]
[ROW][C]118[/C][C]1.538[/C][C]1.538[/C][C]0[/C][/ROW]
[ROW][C]119[/C][C]1.538[/C][C]1.538[/C][C]0[/C][/ROW]
[ROW][C]120[/C][C]1.538[/C][C]1.538[/C][C]0[/C][/ROW]
[ROW][C]121[/C][C]1.538[/C][C]1.538[/C][C]0[/C][/ROW]
[ROW][C]122[/C][C]1.538[/C][C]1.538[/C][C]0[/C][/ROW]
[ROW][C]123[/C][C]1.538[/C][C]1.538[/C][C]0[/C][/ROW]
[ROW][C]124[/C][C]1.538[/C][C]1.538[/C][C]0[/C][/ROW]
[ROW][C]125[/C][C]1.538[/C][C]1.538[/C][C]0[/C][/ROW]
[ROW][C]126[/C][C]1.538[/C][C]1.538[/C][C]0[/C][/ROW]
[ROW][C]127[/C][C]1.538[/C][C]1.5205[/C][C]0.0175000000000001[/C][/ROW]
[ROW][C]128[/C][C]1.538[/C][C]1.5205[/C][C]0.0175000000000001[/C][/ROW]
[ROW][C]129[/C][C]1.538[/C][C]1.5205[/C][C]0.0175000000000001[/C][/ROW]
[ROW][C]130[/C][C]1.538[/C][C]1.5205[/C][C]0.0175000000000001[/C][/ROW]
[ROW][C]131[/C][C]1.538[/C][C]1.5205[/C][C]0.0175000000000001[/C][/ROW]
[ROW][C]132[/C][C]1.503[/C][C]1.5205[/C][C]-0.0175000000000001[/C][/ROW]
[ROW][C]133[/C][C]1.503[/C][C]1.5205[/C][C]-0.0175000000000001[/C][/ROW]
[ROW][C]134[/C][C]1.503[/C][C]1.5205[/C][C]-0.0175000000000001[/C][/ROW]
[ROW][C]135[/C][C]1.503[/C][C]1.5205[/C][C]-0.0175000000000001[/C][/ROW]
[ROW][C]136[/C][C]1.503[/C][C]1.5205[/C][C]-0.0175000000000001[/C][/ROW]
[ROW][C]137[/C][C]1.503[/C][C]1.50055555555556[/C][C]0.00244444444444425[/C][/ROW]
[ROW][C]138[/C][C]1.503[/C][C]1.50055555555556[/C][C]0.00244444444444425[/C][/ROW]
[ROW][C]139[/C][C]1.503[/C][C]1.50055555555556[/C][C]0.00244444444444425[/C][/ROW]
[ROW][C]140[/C][C]1.503[/C][C]1.50055555555556[/C][C]0.00244444444444425[/C][/ROW]
[ROW][C]141[/C][C]1.503[/C][C]1.50055555555556[/C][C]0.00244444444444425[/C][/ROW]
[ROW][C]142[/C][C]1.503[/C][C]1.50055555555556[/C][C]0.00244444444444425[/C][/ROW]
[ROW][C]143[/C][C]1.503[/C][C]1.50055555555556[/C][C]0.00244444444444425[/C][/ROW]
[ROW][C]144[/C][C]1.503[/C][C]1.50055555555556[/C][C]0.00244444444444425[/C][/ROW]
[ROW][C]145[/C][C]1.503[/C][C]1.50055555555556[/C][C]0.00244444444444425[/C][/ROW]
[ROW][C]146[/C][C]1.503[/C][C]1.50055555555556[/C][C]0.00244444444444425[/C][/ROW]
[ROW][C]147[/C][C]1.503[/C][C]1.50055555555556[/C][C]0.00244444444444425[/C][/ROW]
[ROW][C]148[/C][C]1.503[/C][C]1.50055555555556[/C][C]0.00244444444444425[/C][/ROW]
[ROW][C]149[/C][C]1.503[/C][C]1.50055555555556[/C][C]0.00244444444444425[/C][/ROW]
[ROW][C]150[/C][C]1.503[/C][C]1.50055555555556[/C][C]0.00244444444444425[/C][/ROW]
[ROW][C]151[/C][C]1.503[/C][C]1.50055555555556[/C][C]0.00244444444444425[/C][/ROW]
[ROW][C]152[/C][C]1.503[/C][C]1.50055555555556[/C][C]0.00244444444444425[/C][/ROW]
[ROW][C]153[/C][C]1.503[/C][C]1.50055555555556[/C][C]0.00244444444444425[/C][/ROW]
[ROW][C]154[/C][C]1.503[/C][C]1.50055555555556[/C][C]0.00244444444444425[/C][/ROW]
[ROW][C]155[/C][C]1.503[/C][C]1.50055555555556[/C][C]0.00244444444444425[/C][/ROW]
[ROW][C]156[/C][C]1.503[/C][C]1.50055555555556[/C][C]0.00244444444444425[/C][/ROW]
[ROW][C]157[/C][C]1.503[/C][C]1.50055555555556[/C][C]0.00244444444444425[/C][/ROW]
[ROW][C]158[/C][C]1.467[/C][C]1.50055555555556[/C][C]-0.0335555555555556[/C][/ROW]
[ROW][C]159[/C][C]1.467[/C][C]1.50055555555556[/C][C]-0.0335555555555556[/C][/ROW]
[ROW][C]160[/C][C]1.467[/C][C]1.50055555555556[/C][C]-0.0335555555555556[/C][/ROW]
[ROW][C]161[/C][C]1.467[/C][C]1.50055555555556[/C][C]-0.0335555555555556[/C][/ROW]
[ROW][C]162[/C][C]1.467[/C][C]1.50055555555556[/C][C]-0.0335555555555556[/C][/ROW]
[ROW][C]163[/C][C]1.467[/C][C]1.50055555555556[/C][C]-0.0335555555555556[/C][/ROW]
[ROW][C]164[/C][C]1.467[/C][C]1.50055555555556[/C][C]-0.0335555555555556[/C][/ROW]
[ROW][C]165[/C][C]1.467[/C][C]1.50055555555556[/C][C]-0.0335555555555556[/C][/ROW]
[ROW][C]166[/C][C]1.467[/C][C]1.50055555555556[/C][C]-0.0335555555555556[/C][/ROW]
[ROW][C]167[/C][C]1.467[/C][C]1.50055555555556[/C][C]-0.0335555555555556[/C][/ROW]
[ROW][C]168[/C][C]1.467[/C][C]1.50055555555556[/C][C]-0.0335555555555556[/C][/ROW]
[ROW][C]169[/C][C]1.467[/C][C]1.50055555555556[/C][C]-0.0335555555555556[/C][/ROW]
[ROW][C]170[/C][C]1.467[/C][C]1.50055555555556[/C][C]-0.0335555555555556[/C][/ROW]
[ROW][C]171[/C][C]1.467[/C][C]1.50055555555556[/C][C]-0.0335555555555556[/C][/ROW]
[ROW][C]172[/C][C]1.467[/C][C]1.50055555555556[/C][C]-0.0335555555555556[/C][/ROW]
[ROW][C]173[/C][C]1.45[/C][C]1.50055555555556[/C][C]-0.0505555555555557[/C][/ROW]
[ROW][C]174[/C][C]1.45[/C][C]1.50055555555556[/C][C]-0.0505555555555557[/C][/ROW]
[ROW][C]175[/C][C]1.45[/C][C]1.50055555555556[/C][C]-0.0505555555555557[/C][/ROW]
[ROW][C]176[/C][C]1.45[/C][C]1.50055555555556[/C][C]-0.0505555555555557[/C][/ROW]
[ROW][C]177[/C][C]1.45[/C][C]1.50055555555556[/C][C]-0.0505555555555557[/C][/ROW]
[ROW][C]178[/C][C]1.45[/C][C]1.50055555555556[/C][C]-0.0505555555555557[/C][/ROW]
[ROW][C]179[/C][C]1.45[/C][C]1.50055555555556[/C][C]-0.0505555555555557[/C][/ROW]
[ROW][C]180[/C][C]1.45[/C][C]1.50055555555556[/C][C]-0.0505555555555557[/C][/ROW]
[ROW][C]181[/C][C]1.45[/C][C]1.50055555555556[/C][C]-0.0505555555555557[/C][/ROW]
[ROW][C]182[/C][C]1.45[/C][C]1.50055555555556[/C][C]-0.0505555555555557[/C][/ROW]
[ROW][C]183[/C][C]1.45[/C][C]1.50055555555556[/C][C]-0.0505555555555557[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198307&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198307&T=2

As an alternative you can also use a QR Code:  

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

Actuals, Predictions, and Residuals
#ActualsForecastsResiduals
11.5241.500555555555560.0234444444444444
21.4861.50055555555556-0.0145555555555557
31.4861.50055555555556-0.0145555555555557
41.4861.50055555555556-0.0145555555555557
51.4861.50055555555556-0.0145555555555557
61.4861.50055555555556-0.0145555555555557
71.5231.500555555555560.0224444444444443
81.5231.500555555555560.0224444444444443
91.5231.500555555555560.0224444444444443
101.5231.500555555555560.0224444444444443
111.5231.500555555555560.0224444444444443
121.5231.500555555555560.0224444444444443
131.5231.500555555555560.0224444444444443
141.551.500555555555560.0494444444444444
151.551.500555555555560.0494444444444444
161.551.500555555555560.0494444444444444
171.551.500555555555560.0494444444444444
181.551.500555555555560.0494444444444444
191.551.500555555555560.0494444444444444
201.551.500555555555560.0494444444444444
211.5161.500555555555560.0154444444444444
221.5161.500555555555560.0154444444444444
231.5161.500555555555560.0154444444444444
241.5161.500555555555560.0154444444444444
251.5161.500555555555560.0154444444444444
261.5161.500555555555560.0154444444444444
271.5161.500555555555560.0154444444444444
281.5161.500555555555560.0154444444444444
291.4981.50055555555556-0.00255555555555564
301.4981.50055555555556-0.00255555555555564
311.4981.50055555555556-0.00255555555555564
321.4981.50055555555556-0.00255555555555564
331.4981.50055555555556-0.00255555555555564
341.4981.50055555555556-0.00255555555555564
351.4981.50055555555556-0.00255555555555564
361.4981.50055555555556-0.00255555555555564
371.4981.50055555555556-0.00255555555555564
381.4981.50055555555556-0.00255555555555564
391.4981.50055555555556-0.00255555555555564
401.5421.500555555555560.0414444444444444
411.5421.500555555555560.0414444444444444
421.5261.500555555555560.0254444444444444
431.5261.500555555555560.0254444444444444
441.5261.500555555555560.0254444444444444
451.5261.500555555555560.0254444444444444
461.5261.500555555555560.0254444444444444
471.5261.500555555555560.0254444444444444
481.5261.500555555555560.0254444444444444
491.551.500555555555560.0494444444444444
501.551.500555555555560.0494444444444444
511.551.500555555555560.0494444444444444
521.551.500555555555560.0494444444444444
531.551.550
541.551.550
551.551.550
561.551.550
571.551.550
581.551.550
591.551.550
601.551.550
611.551.550
621.551.550
631.551.550
641.551.550
651.551.550
661.551.550
671.551.55509803921569-0.0050980392156863
681.551.55509803921569-0.0050980392156863
691.551.55509803921569-0.0050980392156863
701.551.55509803921569-0.0050980392156863
711.551.55509803921569-0.0050980392156863
721.551.55509803921569-0.0050980392156863
731.551.55509803921569-0.0050980392156863
741.551.55509803921569-0.0050980392156863
751.551.55509803921569-0.0050980392156863
761.5791.555098039215690.0239019607843136
771.5791.555098039215690.0239019607843136
781.5791.555098039215690.0239019607843136
791.5791.555098039215690.0239019607843136
801.5791.555098039215690.0239019607843136
811.5791.555098039215690.0239019607843136
821.5791.555098039215690.0239019607843136
831.5791.555098039215690.0239019607843136
841.5791.555098039215690.0239019607843136
851.5521.55509803921569-0.0030980392156863
861.5521.55509803921569-0.0030980392156863
871.5521.55509803921569-0.0030980392156863
881.5521.55509803921569-0.0030980392156863
891.5521.55509803921569-0.0030980392156863
901.5521.55509803921569-0.0030980392156863
911.5521.55509803921569-0.0030980392156863
921.5521.55509803921569-0.0030980392156863
931.5521.55509803921569-0.0030980392156863
941.5521.55509803921569-0.0030980392156863
951.5531.55509803921569-0.00209803921568641
961.5531.55509803921569-0.00209803921568641
971.5531.55509803921569-0.00209803921568641
981.5531.55509803921569-0.00209803921568641
991.5531.55509803921569-0.00209803921568641
1001.5531.55509803921569-0.00209803921568641
1011.5531.55509803921569-0.00209803921568641
1021.5531.55509803921569-0.00209803921568641
1031.5531.55509803921569-0.00209803921568641
1041.5531.55509803921569-0.00209803921568641
1051.5531.55509803921569-0.00209803921568641
1061.5531.55509803921569-0.00209803921568641
1071.5531.55509803921569-0.00209803921568641
1081.5531.55509803921569-0.00209803921568641
1091.5531.55509803921569-0.00209803921568641
1101.5531.55509803921569-0.00209803921568641
1111.5531.55509803921569-0.00209803921568641
1121.5381.55509803921569-0.0170980392156863
1131.5381.55509803921569-0.0170980392156863
1141.5381.55509803921569-0.0170980392156863
1151.5381.55509803921569-0.0170980392156863
1161.5381.55509803921569-0.0170980392156863
1171.5381.55509803921569-0.0170980392156863
1181.5381.5380
1191.5381.5380
1201.5381.5380
1211.5381.5380
1221.5381.5380
1231.5381.5380
1241.5381.5380
1251.5381.5380
1261.5381.5380
1271.5381.52050.0175000000000001
1281.5381.52050.0175000000000001
1291.5381.52050.0175000000000001
1301.5381.52050.0175000000000001
1311.5381.52050.0175000000000001
1321.5031.5205-0.0175000000000001
1331.5031.5205-0.0175000000000001
1341.5031.5205-0.0175000000000001
1351.5031.5205-0.0175000000000001
1361.5031.5205-0.0175000000000001
1371.5031.500555555555560.00244444444444425
1381.5031.500555555555560.00244444444444425
1391.5031.500555555555560.00244444444444425
1401.5031.500555555555560.00244444444444425
1411.5031.500555555555560.00244444444444425
1421.5031.500555555555560.00244444444444425
1431.5031.500555555555560.00244444444444425
1441.5031.500555555555560.00244444444444425
1451.5031.500555555555560.00244444444444425
1461.5031.500555555555560.00244444444444425
1471.5031.500555555555560.00244444444444425
1481.5031.500555555555560.00244444444444425
1491.5031.500555555555560.00244444444444425
1501.5031.500555555555560.00244444444444425
1511.5031.500555555555560.00244444444444425
1521.5031.500555555555560.00244444444444425
1531.5031.500555555555560.00244444444444425
1541.5031.500555555555560.00244444444444425
1551.5031.500555555555560.00244444444444425
1561.5031.500555555555560.00244444444444425
1571.5031.500555555555560.00244444444444425
1581.4671.50055555555556-0.0335555555555556
1591.4671.50055555555556-0.0335555555555556
1601.4671.50055555555556-0.0335555555555556
1611.4671.50055555555556-0.0335555555555556
1621.4671.50055555555556-0.0335555555555556
1631.4671.50055555555556-0.0335555555555556
1641.4671.50055555555556-0.0335555555555556
1651.4671.50055555555556-0.0335555555555556
1661.4671.50055555555556-0.0335555555555556
1671.4671.50055555555556-0.0335555555555556
1681.4671.50055555555556-0.0335555555555556
1691.4671.50055555555556-0.0335555555555556
1701.4671.50055555555556-0.0335555555555556
1711.4671.50055555555556-0.0335555555555556
1721.4671.50055555555556-0.0335555555555556
1731.451.50055555555556-0.0505555555555557
1741.451.50055555555556-0.0505555555555557
1751.451.50055555555556-0.0505555555555557
1761.451.50055555555556-0.0505555555555557
1771.451.50055555555556-0.0505555555555557
1781.451.50055555555556-0.0505555555555557
1791.451.50055555555556-0.0505555555555557
1801.451.50055555555556-0.0505555555555557
1811.451.50055555555556-0.0505555555555557
1821.451.50055555555556-0.0505555555555557
1831.451.50055555555556-0.0505555555555557



Parameters (Session):
par1 = 3 ; par2 = none ; par3 = 3 ; par4 = no ;
Parameters (R input):
par1 = 3 ; par2 = none ; par3 = 3 ; par4 = no ;
R code (references can be found in the software module):
library(party)
library(Hmisc)
par1 <- as.numeric(par1)
par3 <- as.numeric(par3)
x <- data.frame(t(y))
is.data.frame(x)
x <- x[!is.na(x[,par1]),]
k <- length(x[1,])
n <- length(x[,1])
colnames(x)[par1]
x[,par1]
if (par2 == 'kmeans') {
cl <- kmeans(x[,par1], par3)
print(cl)
clm <- matrix(cbind(cl$centers,1:par3),ncol=2)
clm <- clm[sort.list(clm[,1]),]
for (i in 1:par3) {
cl$cluster[cl$cluster==clm[i,2]] <- paste('C',i,sep='')
}
cl$cluster <- as.factor(cl$cluster)
print(cl$cluster)
x[,par1] <- cl$cluster
}
if (par2 == 'quantiles') {
x[,par1] <- cut2(x[,par1],g=par3)
}
if (par2 == 'hclust') {
hc <- hclust(dist(x[,par1])^2, 'cen')
print(hc)
memb <- cutree(hc, k = par3)
dum <- c(mean(x[memb==1,par1]))
for (i in 2:par3) {
dum <- c(dum, mean(x[memb==i,par1]))
}
hcm <- matrix(cbind(dum,1:par3),ncol=2)
hcm <- hcm[sort.list(hcm[,1]),]
for (i in 1:par3) {
memb[memb==hcm[i,2]] <- paste('C',i,sep='')
}
memb <- as.factor(memb)
print(memb)
x[,par1] <- memb
}
if (par2=='equal') {
ed <- cut(as.numeric(x[,par1]),par3,labels=paste('C',1:par3,sep=''))
x[,par1] <- as.factor(ed)
}
table(x[,par1])
colnames(x)
colnames(x)[par1]
x[,par1]
if (par2 == 'none') {
m <- ctree(as.formula(paste(colnames(x)[par1],' ~ .',sep='')),data = x)
}
load(file='createtable')
if (par2 != 'none') {
m <- ctree(as.formula(paste('as.factor(',colnames(x)[par1],') ~ .',sep='')),data = x)
if (par4=='yes') {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'10-Fold Cross Validation',3+2*par3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'',1,TRUE)
a<-table.element(a,'Prediction (training)',par3+1,TRUE)
a<-table.element(a,'Prediction (testing)',par3+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Actual',1,TRUE)
for (jjj in 1:par3) a<-table.element(a,paste('C',jjj,sep=''),1,TRUE)
a<-table.element(a,'CV',1,TRUE)
for (jjj in 1:par3) a<-table.element(a,paste('C',jjj,sep=''),1,TRUE)
a<-table.element(a,'CV',1,TRUE)
a<-table.row.end(a)
for (i in 1:10) {
ind <- sample(2, nrow(x), replace=T, prob=c(0.9,0.1))
m.ct <- ctree(as.formula(paste('as.factor(',colnames(x)[par1],') ~ .',sep='')),data =x[ind==1,])
if (i==1) {
m.ct.i.pred <- predict(m.ct, newdata=x[ind==1,])
m.ct.i.actu <- x[ind==1,par1]
m.ct.x.pred <- predict(m.ct, newdata=x[ind==2,])
m.ct.x.actu <- x[ind==2,par1]
} else {
m.ct.i.pred <- c(m.ct.i.pred,predict(m.ct, newdata=x[ind==1,]))
m.ct.i.actu <- c(m.ct.i.actu,x[ind==1,par1])
m.ct.x.pred <- c(m.ct.x.pred,predict(m.ct, newdata=x[ind==2,]))
m.ct.x.actu <- c(m.ct.x.actu,x[ind==2,par1])
}
}
print(m.ct.i.tab <- table(m.ct.i.actu,m.ct.i.pred))
numer <- 0
for (i in 1:par3) {
print(m.ct.i.tab[i,i] / sum(m.ct.i.tab[i,]))
numer <- numer + m.ct.i.tab[i,i]
}
print(m.ct.i.cp <- numer / sum(m.ct.i.tab))
print(m.ct.x.tab <- table(m.ct.x.actu,m.ct.x.pred))
numer <- 0
for (i in 1:par3) {
print(m.ct.x.tab[i,i] / sum(m.ct.x.tab[i,]))
numer <- numer + m.ct.x.tab[i,i]
}
print(m.ct.x.cp <- numer / sum(m.ct.x.tab))
for (i in 1:par3) {
a<-table.row.start(a)
a<-table.element(a,paste('C',i,sep=''),1,TRUE)
for (jjj in 1:par3) a<-table.element(a,m.ct.i.tab[i,jjj])
a<-table.element(a,round(m.ct.i.tab[i,i]/sum(m.ct.i.tab[i,]),4))
for (jjj in 1:par3) a<-table.element(a,m.ct.x.tab[i,jjj])
a<-table.element(a,round(m.ct.x.tab[i,i]/sum(m.ct.x.tab[i,]),4))
a<-table.row.end(a)
}
a<-table.row.start(a)
a<-table.element(a,'Overall',1,TRUE)
for (jjj in 1:par3) a<-table.element(a,'-')
a<-table.element(a,round(m.ct.i.cp,4))
for (jjj in 1:par3) a<-table.element(a,'-')
a<-table.element(a,round(m.ct.x.cp,4))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
}
}
m
bitmap(file='test1.png')
plot(m)
dev.off()
bitmap(file='test1a.png')
plot(x[,par1] ~ as.factor(where(m)),main='Response by Terminal Node',xlab='Terminal Node',ylab='Response')
dev.off()
if (par2 == 'none') {
forec <- predict(m)
result <- as.data.frame(cbind(x[,par1],forec,x[,par1]-forec))
colnames(result) <- c('Actuals','Forecasts','Residuals')
print(result)
}
if (par2 != 'none') {
print(cbind(as.factor(x[,par1]),predict(m)))
myt <- table(as.factor(x[,par1]),predict(m))
print(myt)
}
bitmap(file='test2.png')
if(par2=='none') {
op <- par(mfrow=c(2,2))
plot(density(result$Actuals),main='Kernel Density Plot of Actuals')
plot(density(result$Residuals),main='Kernel Density Plot of Residuals')
plot(result$Forecasts,result$Actuals,main='Actuals versus Predictions',xlab='Predictions',ylab='Actuals')
plot(density(result$Forecasts),main='Kernel Density Plot of Predictions')
par(op)
}
if(par2!='none') {
plot(myt,main='Confusion Matrix',xlab='Actual',ylab='Predicted')
}
dev.off()
if (par2 == 'none') {
detcoef <- cor(result$Forecasts,result$Actuals)
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goodness of Fit',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Correlation',1,TRUE)
a<-table.element(a,round(detcoef,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'R-squared',1,TRUE)
a<-table.element(a,round(detcoef*detcoef,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'RMSE',1,TRUE)
a<-table.element(a,round(sqrt(mean((result$Residuals)^2)),4))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Actuals, Predictions, and Residuals',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'#',header=TRUE)
a<-table.element(a,'Actuals',header=TRUE)
a<-table.element(a,'Forecasts',header=TRUE)
a<-table.element(a,'Residuals',header=TRUE)
a<-table.row.end(a)
for (i in 1:length(result$Actuals)) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,result$Actuals[i])
a<-table.element(a,result$Forecasts[i])
a<-table.element(a,result$Residuals[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
}
if (par2 != 'none') {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Confusion Matrix (predicted in columns / actuals in rows)',par3+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'',1,TRUE)
for (i in 1:par3) {
a<-table.element(a,paste('C',i,sep=''),1,TRUE)
}
a<-table.row.end(a)
for (i in 1:par3) {
a<-table.row.start(a)
a<-table.element(a,paste('C',i,sep=''),1,TRUE)
for (j in 1:par3) {
a<-table.element(a,myt[i,j])
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
}