\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114946&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114946&T=0
If you paste this QR Code into your document, anyone with a smartphone or tablet will be able to scan it and view this table in a browser.
If you paste this QR Code into your document, anyone with a smartphone or tablet will be able to scan it and view this table in a browser.
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| Multiple Linear Regression - Estimated Regression Equation | | Unemployment[t] = -11.0719345583423 + 0.088032581948727CPI[t] -0.596761895480138Inflation[t] -0.000114964991186943Import[t] + 0.000673173337070053Export[t] + e[t] |
\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Unemployment[t] = -11.0719345583423 + 0.088032581948727CPI[t] -0.596761895480138Inflation[t] -0.000114964991186943Import[t] + 0.000673173337070053Export[t] + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114946&T=1
[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Unemployment[t] = -11.0719345583423 + 0.088032581948727CPI[t] -0.596761895480138Inflation[t] -0.000114964991186943Import[t] + 0.000673173337070053Export[t] + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114946&T=1
Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114946&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 | | Unemployment[t] = -11.0719345583423 + 0.088032581948727CPI[t] -0.596761895480138Inflation[t] -0.000114964991186943Import[t] + 0.000673173337070053Export[t] + e[t] |
If you paste this QR Code into your document, anyone with a smartphone or tablet will be able to scan it and view this table in a browser.
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If you paste this QR Code into your document, anyone with a smartphone or tablet will be able to scan it and view this table in a browser.
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If you paste this QR Code into your document, anyone with a smartphone or tablet will be able to scan it and view this table in a browser.
| Multiple Linear Regression - Ordinary Least Squares | | Variable | Parameter | S.D. | T-STATH0: parameter = 0 | 2-tail p-value | 1-tail p-value | | (Intercept) | -11.0719345583423 | 6.107509 | -1.8128 | 0.074474 | 0.037237 | | CPI | 0.088032581948727 | 0.034215 | 2.5729 | 0.012375 | 0.006188 | | Inflation | -0.596761895480138 | 0.079307 | -7.5248 | 0 | 0 | | Import | -0.000114964991186943 | 4.2e-05 | -2.7178 | 0.008414 | 0.004207 | | Export | 0.000673173337070053 | 0.000203 | 3.3218 | 0.001471 | 0.000735 |
\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) & -11.0719345583423 & 6.107509 & -1.8128 & 0.074474 & 0.037237 \tabularnewline
CPI & 0.088032581948727 & 0.034215 & 2.5729 & 0.012375 & 0.006188 \tabularnewline
Inflation & -0.596761895480138 & 0.079307 & -7.5248 & 0 & 0 \tabularnewline
Import & -0.000114964991186943 & 4.2e-05 & -2.7178 & 0.008414 & 0.004207 \tabularnewline
Export & 0.000673173337070053 & 0.000203 & 3.3218 & 0.001471 & 0.000735 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114946&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]-11.0719345583423[/C][C]6.107509[/C][C]-1.8128[/C][C]0.074474[/C][C]0.037237[/C][/ROW]
[ROW][C]CPI[/C][C]0.088032581948727[/C][C]0.034215[/C][C]2.5729[/C][C]0.012375[/C][C]0.006188[/C][/ROW]
[ROW][C]Inflation[/C][C]-0.596761895480138[/C][C]0.079307[/C][C]-7.5248[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Import[/C][C]-0.000114964991186943[/C][C]4.2e-05[/C][C]-2.7178[/C][C]0.008414[/C][C]0.004207[/C][/ROW]
[ROW][C]Export[/C][C]0.000673173337070053[/C][C]0.000203[/C][C]3.3218[/C][C]0.001471[/C][C]0.000735[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114946&T=2
Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114946&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) | -11.0719345583423 | 6.107509 | -1.8128 | 0.074474 | 0.037237 | | CPI | 0.088032581948727 | 0.034215 | 2.5729 | 0.012375 | 0.006188 | | Inflation | -0.596761895480138 | 0.079307 | -7.5248 | 0 | 0 | | Import | -0.000114964991186943 | 4.2e-05 | -2.7178 | 0.008414 | 0.004207 | | Export | 0.000673173337070053 | 0.000203 | 3.3218 | 0.001471 | 0.000735 |
If you paste this QR Code into your document, anyone with a smartphone or tablet will be able to scan it and view this table in a browser.
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| Multiple Linear Regression - Regression Statistics | | Multiple R | 0.87163810343932 | | R-squared | 0.759752983367295 | | Adjusted R-squared | 0.744968551574513 | | F-TEST (value) | 51.3887171327223 | | F-TEST (DF numerator) | 4 | | F-TEST (DF denominator) | 65 | | p-value | 0 | | Multiple Linear Regression - Residual Statistics | | Residual Standard Deviation | 1.09056476355540 | | Sum Squared Residuals | 77.3065477280625 |
\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.87163810343932 \tabularnewline
R-squared & 0.759752983367295 \tabularnewline
Adjusted R-squared & 0.744968551574513 \tabularnewline
F-TEST (value) & 51.3887171327223 \tabularnewline
F-TEST (DF numerator) & 4 \tabularnewline
F-TEST (DF denominator) & 65 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 1.09056476355540 \tabularnewline
Sum Squared Residuals & 77.3065477280625 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114946&T=3
[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.87163810343932[/C][/ROW]
[ROW][C]R-squared[/C][C]0.759752983367295[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.744968551574513[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]51.3887171327223[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]4[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]65[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]1.09056476355540[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]77.3065477280625[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114946&T=3
Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114946&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 | 0.87163810343932 | | R-squared | 0.759752983367295 | | Adjusted R-squared | 0.744968551574513 | | F-TEST (value) | 51.3887171327223 | | F-TEST (DF numerator) | 4 | | F-TEST (DF denominator) | 65 | | p-value | 0 | | Multiple Linear Regression - Residual Statistics | | Residual Standard Deviation | 1.09056476355540 | | Sum Squared Residuals | 77.3065477280625 |
If you paste this QR Code into your document, anyone with a smartphone or tablet will be able to scan it and view this table in a browser.
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| Multiple Linear Regression - Actuals, Interpolation, and Residuals | | Time or Index | Actuals | InterpolationForecast | ResidualsPrediction Error | | 1 | 5.3 | 3.64376633874945 | 1.65623366125055 | | 2 | 5.4 | 4.12786170139431 | 1.27213829860569 | | 3 | 5.2 | 4.45024219752319 | 0.749757802476811 | | 4 | 5.2 | 4.07516531338401 | 1.12483468661599 | | 5 | 5.1 | 4.34978544310588 | 0.750214556894121 | | 6 | 5 | 4.39807427175125 | 0.601925728248745 | | 7 | 5 | 4.18877805771385 | 0.811221942286153 | | 8 | 4.9 | 3.97784810187330 | 0.922151898126696 | | 9 | 5 | 3.08320960655494 | 1.91679039344506 | | 10 | 5 | 3.68989911279698 | 1.31010088720302 | | 11 | 5 | 4.24339856840162 | 0.756601431598376 | | 12 | 4.9 | 4.66377725808412 | 0.236222741915882 | | 13 | 4.7 | 3.83231006376299 | 0.867689936237008 | | 14 | 4.8 | 4.95459896115926 | -0.154598961159261 | | 15 | 4.7 | 5.42787657149729 | -0.727876571497287 | | 16 | 4.7 | 4.93021956480729 | -0.230219564807288 | | 17 | 4.6 | 4.68534138871137 | -0.0853413887113693 | | 18 | 4.6 | 4.35048683358156 | 0.249513166418440 | | 19 | 4.7 | 4.76978934902411 | -0.0697893490241103 | | 20 | 4.7 | 4.62600298372944 | 0.0739970162705583 | | 21 | 4.5 | 5.39391928501612 | -0.893919285016122 | | 22 | 4.4 | 5.82127595942359 | -1.42127595942359 | | 23 | 4.5 | 5.39161566602043 | -0.891615666020429 | | 24 | 4.4 | 5.78207711594124 | -1.38207711594124 | | 25 | 4.6 | 5.51312681683363 | -0.913126816833626 | | 26 | 4.5 | 5.80120453272777 | -1.30120453272777 | | 27 | 4.4 | 6.38661926875689 | -1.98661926875689 | | 28 | 4.5 | 5.96917314664761 | -1.46917314664761 | | 29 | 4.4 | 6.17450503552661 | -1.77450503552661 | | 30 | 4.6 | 6.2963786466918 | -1.69637864669181 | | 31 | 4.6 | 5.70962892316165 | -1.10962892316165 | | 32 | 4.6 | 6.52608936268465 | -1.92608936268465 | | 33 | 4.7 | 5.82858999407637 | -1.12858999407637 | | 34 | 4.7 | 5.30553834747169 | -0.605538347471693 | | 35 | 4.7 | 5.19202471619143 | -0.492024716191429 | | 36 | 5 | 6.44222236453273 | -1.44222236453273 | | 37 | 5 | 5.68518619467759 | -0.685186194677594 | | 38 | 4.8 | 6.22462043416204 | -1.42462043416204 | | 39 | 5.1 | 7.00775911361506 | -1.90775911361506 | | 40 | 5 | 6.30894712610146 | -1.30894712610146 | | 41 | 5.4 | 6.55190887376233 | -1.15190887376233 | | 42 | 5.5 | 6.149860207069 | -0.649860207069003 | | 43 | 5.8 | 5.55481860091993 | 0.245181399080073 | | 44 | 6.1 | 5.52609873688479 | 0.57390126311521 | | 45 | 6.2 | 4.97647773747816 | 1.22352226252184 | | 46 | 6.6 | 5.99204538724351 | 0.607954612756488 | | 47 | 6.9 | 7.2280770174133 | -0.328077017413308 | | 48 | 7.4 | 7.93839298627247 | -0.538392986272472 | | 49 | 7.7 | 7.45312158863585 | 0.246878411364148 | | 50 | 8.2 | 8.43629965219465 | -0.236299652194652 | | 51 | 8.6 | 9.19589598674138 | -0.595895986741384 | | 52 | 8.9 | 9.09615229520044 | -0.196152295200439 | | 53 | 9.4 | 9.44278996659638 | -0.0427899665963763 | | 54 | 9.5 | 9.74858348780164 | -0.248583487801642 | | 55 | 9.4 | 9.73504445717042 | -0.335044457170416 | | 56 | 9.7 | 9.56038947410255 | 0.139610525897452 | | 57 | 9.8 | 9.38374807691516 | 0.416251923084844 | | 58 | 10.1 | 9.2989511719747 | 0.801048828025306 | | 59 | 10 | 8.67189553139094 | 1.32810446860906 | | 60 | 10 | 8.87645434308809 | 1.12354565691191 | | 61 | 9.7 | 8.17604942613467 | 1.52395057386533 | | 62 | 9.7 | 8.65991631133469 | 1.04008368866531 | | 63 | 9.7 | 8.8983981446729 | 0.801601855327097 | | 64 | 9.9 | 8.24198548094678 | 1.65801451905322 | | 65 | 9.7 | 8.13690121433312 | 1.56309878566688 | | 66 | 9.5 | 8.2313492514376 | 1.2686507485624 | | 67 | 9.5 | 8.50067251638696 | 0.999327483613035 | | 68 | 9.6 | 8.28627900118324 | 1.31372099881676 | | 69 | 9.6 | 8.27926444434384 | 1.32073555565616 | | 70 | 9.6 | 9.74324489250393 | -0.143244892503929 |
\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 5.3 & 3.64376633874945 & 1.65623366125055 \tabularnewline
2 & 5.4 & 4.12786170139431 & 1.27213829860569 \tabularnewline
3 & 5.2 & 4.45024219752319 & 0.749757802476811 \tabularnewline
4 & 5.2 & 4.07516531338401 & 1.12483468661599 \tabularnewline
5 & 5.1 & 4.34978544310588 & 0.750214556894121 \tabularnewline
6 & 5 & 4.39807427175125 & 0.601925728248745 \tabularnewline
7 & 5 & 4.18877805771385 & 0.811221942286153 \tabularnewline
8 & 4.9 & 3.97784810187330 & 0.922151898126696 \tabularnewline
9 & 5 & 3.08320960655494 & 1.91679039344506 \tabularnewline
10 & 5 & 3.68989911279698 & 1.31010088720302 \tabularnewline
11 & 5 & 4.24339856840162 & 0.756601431598376 \tabularnewline
12 & 4.9 & 4.66377725808412 & 0.236222741915882 \tabularnewline
13 & 4.7 & 3.83231006376299 & 0.867689936237008 \tabularnewline
14 & 4.8 & 4.95459896115926 & -0.154598961159261 \tabularnewline
15 & 4.7 & 5.42787657149729 & -0.727876571497287 \tabularnewline
16 & 4.7 & 4.93021956480729 & -0.230219564807288 \tabularnewline
17 & 4.6 & 4.68534138871137 & -0.0853413887113693 \tabularnewline
18 & 4.6 & 4.35048683358156 & 0.249513166418440 \tabularnewline
19 & 4.7 & 4.76978934902411 & -0.0697893490241103 \tabularnewline
20 & 4.7 & 4.62600298372944 & 0.0739970162705583 \tabularnewline
21 & 4.5 & 5.39391928501612 & -0.893919285016122 \tabularnewline
22 & 4.4 & 5.82127595942359 & -1.42127595942359 \tabularnewline
23 & 4.5 & 5.39161566602043 & -0.891615666020429 \tabularnewline
24 & 4.4 & 5.78207711594124 & -1.38207711594124 \tabularnewline
25 & 4.6 & 5.51312681683363 & -0.913126816833626 \tabularnewline
26 & 4.5 & 5.80120453272777 & -1.30120453272777 \tabularnewline
27 & 4.4 & 6.38661926875689 & -1.98661926875689 \tabularnewline
28 & 4.5 & 5.96917314664761 & -1.46917314664761 \tabularnewline
29 & 4.4 & 6.17450503552661 & -1.77450503552661 \tabularnewline
30 & 4.6 & 6.2963786466918 & -1.69637864669181 \tabularnewline
31 & 4.6 & 5.70962892316165 & -1.10962892316165 \tabularnewline
32 & 4.6 & 6.52608936268465 & -1.92608936268465 \tabularnewline
33 & 4.7 & 5.82858999407637 & -1.12858999407637 \tabularnewline
34 & 4.7 & 5.30553834747169 & -0.605538347471693 \tabularnewline
35 & 4.7 & 5.19202471619143 & -0.492024716191429 \tabularnewline
36 & 5 & 6.44222236453273 & -1.44222236453273 \tabularnewline
37 & 5 & 5.68518619467759 & -0.685186194677594 \tabularnewline
38 & 4.8 & 6.22462043416204 & -1.42462043416204 \tabularnewline
39 & 5.1 & 7.00775911361506 & -1.90775911361506 \tabularnewline
40 & 5 & 6.30894712610146 & -1.30894712610146 \tabularnewline
41 & 5.4 & 6.55190887376233 & -1.15190887376233 \tabularnewline
42 & 5.5 & 6.149860207069 & -0.649860207069003 \tabularnewline
43 & 5.8 & 5.55481860091993 & 0.245181399080073 \tabularnewline
44 & 6.1 & 5.52609873688479 & 0.57390126311521 \tabularnewline
45 & 6.2 & 4.97647773747816 & 1.22352226252184 \tabularnewline
46 & 6.6 & 5.99204538724351 & 0.607954612756488 \tabularnewline
47 & 6.9 & 7.2280770174133 & -0.328077017413308 \tabularnewline
48 & 7.4 & 7.93839298627247 & -0.538392986272472 \tabularnewline
49 & 7.7 & 7.45312158863585 & 0.246878411364148 \tabularnewline
50 & 8.2 & 8.43629965219465 & -0.236299652194652 \tabularnewline
51 & 8.6 & 9.19589598674138 & -0.595895986741384 \tabularnewline
52 & 8.9 & 9.09615229520044 & -0.196152295200439 \tabularnewline
53 & 9.4 & 9.44278996659638 & -0.0427899665963763 \tabularnewline
54 & 9.5 & 9.74858348780164 & -0.248583487801642 \tabularnewline
55 & 9.4 & 9.73504445717042 & -0.335044457170416 \tabularnewline
56 & 9.7 & 9.56038947410255 & 0.139610525897452 \tabularnewline
57 & 9.8 & 9.38374807691516 & 0.416251923084844 \tabularnewline
58 & 10.1 & 9.2989511719747 & 0.801048828025306 \tabularnewline
59 & 10 & 8.67189553139094 & 1.32810446860906 \tabularnewline
60 & 10 & 8.87645434308809 & 1.12354565691191 \tabularnewline
61 & 9.7 & 8.17604942613467 & 1.52395057386533 \tabularnewline
62 & 9.7 & 8.65991631133469 & 1.04008368866531 \tabularnewline
63 & 9.7 & 8.8983981446729 & 0.801601855327097 \tabularnewline
64 & 9.9 & 8.24198548094678 & 1.65801451905322 \tabularnewline
65 & 9.7 & 8.13690121433312 & 1.56309878566688 \tabularnewline
66 & 9.5 & 8.2313492514376 & 1.2686507485624 \tabularnewline
67 & 9.5 & 8.50067251638696 & 0.999327483613035 \tabularnewline
68 & 9.6 & 8.28627900118324 & 1.31372099881676 \tabularnewline
69 & 9.6 & 8.27926444434384 & 1.32073555565616 \tabularnewline
70 & 9.6 & 9.74324489250393 & -0.143244892503929 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114946&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]5.3[/C][C]3.64376633874945[/C][C]1.65623366125055[/C][/ROW]
[ROW][C]2[/C][C]5.4[/C][C]4.12786170139431[/C][C]1.27213829860569[/C][/ROW]
[ROW][C]3[/C][C]5.2[/C][C]4.45024219752319[/C][C]0.749757802476811[/C][/ROW]
[ROW][C]4[/C][C]5.2[/C][C]4.07516531338401[/C][C]1.12483468661599[/C][/ROW]
[ROW][C]5[/C][C]5.1[/C][C]4.34978544310588[/C][C]0.750214556894121[/C][/ROW]
[ROW][C]6[/C][C]5[/C][C]4.39807427175125[/C][C]0.601925728248745[/C][/ROW]
[ROW][C]7[/C][C]5[/C][C]4.18877805771385[/C][C]0.811221942286153[/C][/ROW]
[ROW][C]8[/C][C]4.9[/C][C]3.97784810187330[/C][C]0.922151898126696[/C][/ROW]
[ROW][C]9[/C][C]5[/C][C]3.08320960655494[/C][C]1.91679039344506[/C][/ROW]
[ROW][C]10[/C][C]5[/C][C]3.68989911279698[/C][C]1.31010088720302[/C][/ROW]
[ROW][C]11[/C][C]5[/C][C]4.24339856840162[/C][C]0.756601431598376[/C][/ROW]
[ROW][C]12[/C][C]4.9[/C][C]4.66377725808412[/C][C]0.236222741915882[/C][/ROW]
[ROW][C]13[/C][C]4.7[/C][C]3.83231006376299[/C][C]0.867689936237008[/C][/ROW]
[ROW][C]14[/C][C]4.8[/C][C]4.95459896115926[/C][C]-0.154598961159261[/C][/ROW]
[ROW][C]15[/C][C]4.7[/C][C]5.42787657149729[/C][C]-0.727876571497287[/C][/ROW]
[ROW][C]16[/C][C]4.7[/C][C]4.93021956480729[/C][C]-0.230219564807288[/C][/ROW]
[ROW][C]17[/C][C]4.6[/C][C]4.68534138871137[/C][C]-0.0853413887113693[/C][/ROW]
[ROW][C]18[/C][C]4.6[/C][C]4.35048683358156[/C][C]0.249513166418440[/C][/ROW]
[ROW][C]19[/C][C]4.7[/C][C]4.76978934902411[/C][C]-0.0697893490241103[/C][/ROW]
[ROW][C]20[/C][C]4.7[/C][C]4.62600298372944[/C][C]0.0739970162705583[/C][/ROW]
[ROW][C]21[/C][C]4.5[/C][C]5.39391928501612[/C][C]-0.893919285016122[/C][/ROW]
[ROW][C]22[/C][C]4.4[/C][C]5.82127595942359[/C][C]-1.42127595942359[/C][/ROW]
[ROW][C]23[/C][C]4.5[/C][C]5.39161566602043[/C][C]-0.891615666020429[/C][/ROW]
[ROW][C]24[/C][C]4.4[/C][C]5.78207711594124[/C][C]-1.38207711594124[/C][/ROW]
[ROW][C]25[/C][C]4.6[/C][C]5.51312681683363[/C][C]-0.913126816833626[/C][/ROW]
[ROW][C]26[/C][C]4.5[/C][C]5.80120453272777[/C][C]-1.30120453272777[/C][/ROW]
[ROW][C]27[/C][C]4.4[/C][C]6.38661926875689[/C][C]-1.98661926875689[/C][/ROW]
[ROW][C]28[/C][C]4.5[/C][C]5.96917314664761[/C][C]-1.46917314664761[/C][/ROW]
[ROW][C]29[/C][C]4.4[/C][C]6.17450503552661[/C][C]-1.77450503552661[/C][/ROW]
[ROW][C]30[/C][C]4.6[/C][C]6.2963786466918[/C][C]-1.69637864669181[/C][/ROW]
[ROW][C]31[/C][C]4.6[/C][C]5.70962892316165[/C][C]-1.10962892316165[/C][/ROW]
[ROW][C]32[/C][C]4.6[/C][C]6.52608936268465[/C][C]-1.92608936268465[/C][/ROW]
[ROW][C]33[/C][C]4.7[/C][C]5.82858999407637[/C][C]-1.12858999407637[/C][/ROW]
[ROW][C]34[/C][C]4.7[/C][C]5.30553834747169[/C][C]-0.605538347471693[/C][/ROW]
[ROW][C]35[/C][C]4.7[/C][C]5.19202471619143[/C][C]-0.492024716191429[/C][/ROW]
[ROW][C]36[/C][C]5[/C][C]6.44222236453273[/C][C]-1.44222236453273[/C][/ROW]
[ROW][C]37[/C][C]5[/C][C]5.68518619467759[/C][C]-0.685186194677594[/C][/ROW]
[ROW][C]38[/C][C]4.8[/C][C]6.22462043416204[/C][C]-1.42462043416204[/C][/ROW]
[ROW][C]39[/C][C]5.1[/C][C]7.00775911361506[/C][C]-1.90775911361506[/C][/ROW]
[ROW][C]40[/C][C]5[/C][C]6.30894712610146[/C][C]-1.30894712610146[/C][/ROW]
[ROW][C]41[/C][C]5.4[/C][C]6.55190887376233[/C][C]-1.15190887376233[/C][/ROW]
[ROW][C]42[/C][C]5.5[/C][C]6.149860207069[/C][C]-0.649860207069003[/C][/ROW]
[ROW][C]43[/C][C]5.8[/C][C]5.55481860091993[/C][C]0.245181399080073[/C][/ROW]
[ROW][C]44[/C][C]6.1[/C][C]5.52609873688479[/C][C]0.57390126311521[/C][/ROW]
[ROW][C]45[/C][C]6.2[/C][C]4.97647773747816[/C][C]1.22352226252184[/C][/ROW]
[ROW][C]46[/C][C]6.6[/C][C]5.99204538724351[/C][C]0.607954612756488[/C][/ROW]
[ROW][C]47[/C][C]6.9[/C][C]7.2280770174133[/C][C]-0.328077017413308[/C][/ROW]
[ROW][C]48[/C][C]7.4[/C][C]7.93839298627247[/C][C]-0.538392986272472[/C][/ROW]
[ROW][C]49[/C][C]7.7[/C][C]7.45312158863585[/C][C]0.246878411364148[/C][/ROW]
[ROW][C]50[/C][C]8.2[/C][C]8.43629965219465[/C][C]-0.236299652194652[/C][/ROW]
[ROW][C]51[/C][C]8.6[/C][C]9.19589598674138[/C][C]-0.595895986741384[/C][/ROW]
[ROW][C]52[/C][C]8.9[/C][C]9.09615229520044[/C][C]-0.196152295200439[/C][/ROW]
[ROW][C]53[/C][C]9.4[/C][C]9.44278996659638[/C][C]-0.0427899665963763[/C][/ROW]
[ROW][C]54[/C][C]9.5[/C][C]9.74858348780164[/C][C]-0.248583487801642[/C][/ROW]
[ROW][C]55[/C][C]9.4[/C][C]9.73504445717042[/C][C]-0.335044457170416[/C][/ROW]
[ROW][C]56[/C][C]9.7[/C][C]9.56038947410255[/C][C]0.139610525897452[/C][/ROW]
[ROW][C]57[/C][C]9.8[/C][C]9.38374807691516[/C][C]0.416251923084844[/C][/ROW]
[ROW][C]58[/C][C]10.1[/C][C]9.2989511719747[/C][C]0.801048828025306[/C][/ROW]
[ROW][C]59[/C][C]10[/C][C]8.67189553139094[/C][C]1.32810446860906[/C][/ROW]
[ROW][C]60[/C][C]10[/C][C]8.87645434308809[/C][C]1.12354565691191[/C][/ROW]
[ROW][C]61[/C][C]9.7[/C][C]8.17604942613467[/C][C]1.52395057386533[/C][/ROW]
[ROW][C]62[/C][C]9.7[/C][C]8.65991631133469[/C][C]1.04008368866531[/C][/ROW]
[ROW][C]63[/C][C]9.7[/C][C]8.8983981446729[/C][C]0.801601855327097[/C][/ROW]
[ROW][C]64[/C][C]9.9[/C][C]8.24198548094678[/C][C]1.65801451905322[/C][/ROW]
[ROW][C]65[/C][C]9.7[/C][C]8.13690121433312[/C][C]1.56309878566688[/C][/ROW]
[ROW][C]66[/C][C]9.5[/C][C]8.2313492514376[/C][C]1.2686507485624[/C][/ROW]
[ROW][C]67[/C][C]9.5[/C][C]8.50067251638696[/C][C]0.999327483613035[/C][/ROW]
[ROW][C]68[/C][C]9.6[/C][C]8.28627900118324[/C][C]1.31372099881676[/C][/ROW]
[ROW][C]69[/C][C]9.6[/C][C]8.27926444434384[/C][C]1.32073555565616[/C][/ROW]
[ROW][C]70[/C][C]9.6[/C][C]9.74324489250393[/C][C]-0.143244892503929[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114946&T=4
Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114946&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 | 5.3 | 3.64376633874945 | 1.65623366125055 | | 2 | 5.4 | 4.12786170139431 | 1.27213829860569 | | 3 | 5.2 | 4.45024219752319 | 0.749757802476811 | | 4 | 5.2 | 4.07516531338401 | 1.12483468661599 | | 5 | 5.1 | 4.34978544310588 | 0.750214556894121 | | 6 | 5 | 4.39807427175125 | 0.601925728248745 | | 7 | 5 | 4.18877805771385 | 0.811221942286153 | | 8 | 4.9 | 3.97784810187330 | 0.922151898126696 | | 9 | 5 | 3.08320960655494 | 1.91679039344506 | | 10 | 5 | 3.68989911279698 | 1.31010088720302 | | 11 | 5 | 4.24339856840162 | 0.756601431598376 | | 12 | 4.9 | 4.66377725808412 | 0.236222741915882 | | 13 | 4.7 | 3.83231006376299 | 0.867689936237008 | | 14 | 4.8 | 4.95459896115926 | -0.154598961159261 | | 15 | 4.7 | 5.42787657149729 | -0.727876571497287 | | 16 | 4.7 | 4.93021956480729 | -0.230219564807288 | | 17 | 4.6 | 4.68534138871137 | -0.0853413887113693 | | 18 | 4.6 | 4.35048683358156 | 0.249513166418440 | | 19 | 4.7 | 4.76978934902411 | -0.0697893490241103 | | 20 | 4.7 | 4.62600298372944 | 0.0739970162705583 | | 21 | 4.5 | 5.39391928501612 | -0.893919285016122 | | 22 | 4.4 | 5.82127595942359 | -1.42127595942359 | | 23 | 4.5 | 5.39161566602043 | -0.891615666020429 | | 24 | 4.4 | 5.78207711594124 | -1.38207711594124 | | 25 | 4.6 | 5.51312681683363 | -0.913126816833626 | | 26 | 4.5 | 5.80120453272777 | -1.30120453272777 | | 27 | 4.4 | 6.38661926875689 | -1.98661926875689 | | 28 | 4.5 | 5.96917314664761 | -1.46917314664761 | | 29 | 4.4 | 6.17450503552661 | -1.77450503552661 | | 30 | 4.6 | 6.2963786466918 | -1.69637864669181 | | 31 | 4.6 | 5.70962892316165 | -1.10962892316165 | | 32 | 4.6 | 6.52608936268465 | -1.92608936268465 | | 33 | 4.7 | 5.82858999407637 | -1.12858999407637 | | 34 | 4.7 | 5.30553834747169 | -0.605538347471693 | | 35 | 4.7 | 5.19202471619143 | -0.492024716191429 | | 36 | 5 | 6.44222236453273 | -1.44222236453273 | | 37 | 5 | 5.68518619467759 | -0.685186194677594 | | 38 | 4.8 | 6.22462043416204 | -1.42462043416204 | | 39 | 5.1 | 7.00775911361506 | -1.90775911361506 | | 40 | 5 | 6.30894712610146 | -1.30894712610146 | | 41 | 5.4 | 6.55190887376233 | -1.15190887376233 | | 42 | 5.5 | 6.149860207069 | -0.649860207069003 | | 43 | 5.8 | 5.55481860091993 | 0.245181399080073 | | 44 | 6.1 | 5.52609873688479 | 0.57390126311521 | | 45 | 6.2 | 4.97647773747816 | 1.22352226252184 | | 46 | 6.6 | 5.99204538724351 | 0.607954612756488 | | 47 | 6.9 | 7.2280770174133 | -0.328077017413308 | | 48 | 7.4 | 7.93839298627247 | -0.538392986272472 | | 49 | 7.7 | 7.45312158863585 | 0.246878411364148 | | 50 | 8.2 | 8.43629965219465 | -0.236299652194652 | | 51 | 8.6 | 9.19589598674138 | -0.595895986741384 | | 52 | 8.9 | 9.09615229520044 | -0.196152295200439 | | 53 | 9.4 | 9.44278996659638 | -0.0427899665963763 | | 54 | 9.5 | 9.74858348780164 | -0.248583487801642 | | 55 | 9.4 | 9.73504445717042 | -0.335044457170416 | | 56 | 9.7 | 9.56038947410255 | 0.139610525897452 | | 57 | 9.8 | 9.38374807691516 | 0.416251923084844 | | 58 | 10.1 | 9.2989511719747 | 0.801048828025306 | | 59 | 10 | 8.67189553139094 | 1.32810446860906 | | 60 | 10 | 8.87645434308809 | 1.12354565691191 | | 61 | 9.7 | 8.17604942613467 | 1.52395057386533 | | 62 | 9.7 | 8.65991631133469 | 1.04008368866531 | | 63 | 9.7 | 8.8983981446729 | 0.801601855327097 | | 64 | 9.9 | 8.24198548094678 | 1.65801451905322 | | 65 | 9.7 | 8.13690121433312 | 1.56309878566688 | | 66 | 9.5 | 8.2313492514376 | 1.2686507485624 | | 67 | 9.5 | 8.50067251638696 | 0.999327483613035 | | 68 | 9.6 | 8.28627900118324 | 1.31372099881676 | | 69 | 9.6 | 8.27926444434384 | 1.32073555565616 | | 70 | 9.6 | 9.74324489250393 | -0.143244892503929 |
If you paste this QR Code into your document, anyone with a smartphone or tablet will be able to scan it and view this table in a browser.
If you paste this QR Code into your document, anyone with a smartphone or tablet will be able to scan it and view this table in a browser.
If you paste this QR Code into your document, anyone with a smartphone or tablet will be able to scan it and view this table in a browser.
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| Goldfeld-Quandt test for Heteroskedasticity | | p-values | Alternative Hypothesis | | breakpoint index | greater | 2-sided | less | | 8 | 0.000494957745696449 | 0.000989915491392898 | 0.999505042254303 | | 9 | 4.29981642254462e-05 | 8.59963284508925e-05 | 0.999957001835775 | | 10 | 1.61350558111365e-05 | 3.2270111622273e-05 | 0.999983864944189 | | 11 | 2.22287783528556e-06 | 4.44575567057112e-06 | 0.999997777122165 | | 12 | 3.63541665512902e-07 | 7.27083331025804e-07 | 0.999999636458335 | | 13 | 1.24353878019616e-06 | 2.48707756039231e-06 | 0.99999875646122 | | 14 | 1.93981569377450e-07 | 3.87963138754899e-07 | 0.99999980601843 | | 15 | 2.48262665574746e-08 | 4.96525331149491e-08 | 0.999999975173733 | | 16 | 6.67018604696201e-09 | 1.33403720939240e-08 | 0.999999993329814 | | 17 | 1.15527129351079e-09 | 2.31054258702158e-09 | 0.999999998844729 | | 18 | 2.78690220494841e-10 | 5.57380440989683e-10 | 0.99999999972131 | | 19 | 1.81668604129252e-10 | 3.63337208258504e-10 | 0.999999999818331 | | 20 | 1.71235935236908e-10 | 3.42471870473816e-10 | 0.999999999828764 | | 21 | 2.73571198606896e-11 | 5.47142397213791e-11 | 0.999999999972643 | | 22 | 5.46131305634625e-12 | 1.09226261126925e-11 | 0.999999999994539 | | 23 | 1.07679792988648e-12 | 2.15359585977296e-12 | 0.999999999998923 | | 24 | 4.27155149592156e-13 | 8.54310299184311e-13 | 0.999999999999573 | | 25 | 2.38764727244519e-13 | 4.77529454489039e-13 | 0.999999999999761 | | 26 | 6.04816663873705e-14 | 1.20963332774741e-13 | 0.99999999999994 | | 27 | 1.00286712244307e-14 | 2.00573424488615e-14 | 0.99999999999999 | | 28 | 4.2135048092817e-15 | 8.4270096185634e-15 | 0.999999999999996 | | 29 | 9.97559858414151e-16 | 1.99511971682830e-15 | 0.999999999999999 | | 30 | 1.90852446213023e-14 | 3.81704892426046e-14 | 0.99999999999998 | | 31 | 1.27833777509582e-14 | 2.55667555019165e-14 | 0.999999999999987 | | 32 | 4.32869522000716e-14 | 8.65739044001432e-14 | 0.999999999999957 | | 33 | 9.29599050814612e-14 | 1.85919810162922e-13 | 0.999999999999907 | | 34 | 1.12593908987427e-13 | 2.25187817974854e-13 | 0.999999999999887 | | 35 | 8.0463709382234e-14 | 1.60927418764468e-13 | 0.99999999999992 | | 36 | 1.24621122202364e-12 | 2.49242244404729e-12 | 0.999999999998754 | | 37 | 2.95477720478734e-12 | 5.90955440957469e-12 | 0.999999999997045 | | 38 | 1.15884380722128e-12 | 2.31768761444256e-12 | 0.99999999999884 | | 39 | 1.52714181695290e-11 | 3.05428363390579e-11 | 0.999999999984729 | | 40 | 6.68000350007444e-11 | 1.33600070001489e-10 | 0.9999999999332 | | 41 | 2.48001705911171e-08 | 4.96003411822341e-08 | 0.99999997519983 | | 42 | 2.53445649284372e-06 | 5.06891298568743e-06 | 0.999997465543507 | | 43 | 0.000132620007404799 | 0.000265240014809599 | 0.999867379992595 | | 44 | 0.00623118979454409 | 0.0124623795890882 | 0.993768810205456 | | 45 | 0.0310331094549097 | 0.0620662189098194 | 0.96896689054509 | | 46 | 0.609863235718234 | 0.780273528563532 | 0.390136764281766 | | 47 | 0.965225314070416 | 0.0695493718591685 | 0.0347746859295843 | | 48 | 0.98801082456868 | 0.0239783508626397 | 0.0119891754313199 | | 49 | 0.983505652866377 | 0.0329886942672455 | 0.0164943471336227 | | 50 | 0.992191492704966 | 0.0156170145900686 | 0.0078085072950343 | | 51 | 0.999036418051118 | 0.00192716389776367 | 0.000963581948881833 | | 52 | 0.999937156417455 | 0.000125687165090443 | 6.28435825452216e-05 | | 53 | 0.999974946456158 | 5.01070876830934e-05 | 2.50535438415467e-05 | | 54 | 0.999948724833536 | 0.000102550332928613 | 5.12751664643066e-05 | | 55 | 0.999975696993319 | 4.86060133616989e-05 | 2.43030066808494e-05 | | 56 | 0.999950655904092 | 9.86881918165523e-05 | 4.93440959082762e-05 | | 57 | 0.999924182823928 | 0.000151634352143459 | 7.58171760717297e-05 | | 58 | 0.999956687971086 | 8.66240578278326e-05 | 4.33120289139163e-05 | | 59 | 0.999988580451461 | 2.28390970774649e-05 | 1.14195485387325e-05 | | 60 | 0.999993031924616 | 1.39361507681172e-05 | 6.9680753840586e-06 | | 61 | 0.999916089826802 | 0.000167820346395872 | 8.39101731979362e-05 | | 62 | 0.99961865616978 | 0.000762687660440099 | 0.000381343830220050 |
\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
8 & 0.000494957745696449 & 0.000989915491392898 & 0.999505042254303 \tabularnewline
9 & 4.29981642254462e-05 & 8.59963284508925e-05 & 0.999957001835775 \tabularnewline
10 & 1.61350558111365e-05 & 3.2270111622273e-05 & 0.999983864944189 \tabularnewline
11 & 2.22287783528556e-06 & 4.44575567057112e-06 & 0.999997777122165 \tabularnewline
12 & 3.63541665512902e-07 & 7.27083331025804e-07 & 0.999999636458335 \tabularnewline
13 & 1.24353878019616e-06 & 2.48707756039231e-06 & 0.99999875646122 \tabularnewline
14 & 1.93981569377450e-07 & 3.87963138754899e-07 & 0.99999980601843 \tabularnewline
15 & 2.48262665574746e-08 & 4.96525331149491e-08 & 0.999999975173733 \tabularnewline
16 & 6.67018604696201e-09 & 1.33403720939240e-08 & 0.999999993329814 \tabularnewline
17 & 1.15527129351079e-09 & 2.31054258702158e-09 & 0.999999998844729 \tabularnewline
18 & 2.78690220494841e-10 & 5.57380440989683e-10 & 0.99999999972131 \tabularnewline
19 & 1.81668604129252e-10 & 3.63337208258504e-10 & 0.999999999818331 \tabularnewline
20 & 1.71235935236908e-10 & 3.42471870473816e-10 & 0.999999999828764 \tabularnewline
21 & 2.73571198606896e-11 & 5.47142397213791e-11 & 0.999999999972643 \tabularnewline
22 & 5.46131305634625e-12 & 1.09226261126925e-11 & 0.999999999994539 \tabularnewline
23 & 1.07679792988648e-12 & 2.15359585977296e-12 & 0.999999999998923 \tabularnewline
24 & 4.27155149592156e-13 & 8.54310299184311e-13 & 0.999999999999573 \tabularnewline
25 & 2.38764727244519e-13 & 4.77529454489039e-13 & 0.999999999999761 \tabularnewline
26 & 6.04816663873705e-14 & 1.20963332774741e-13 & 0.99999999999994 \tabularnewline
27 & 1.00286712244307e-14 & 2.00573424488615e-14 & 0.99999999999999 \tabularnewline
28 & 4.2135048092817e-15 & 8.4270096185634e-15 & 0.999999999999996 \tabularnewline
29 & 9.97559858414151e-16 & 1.99511971682830e-15 & 0.999999999999999 \tabularnewline
30 & 1.90852446213023e-14 & 3.81704892426046e-14 & 0.99999999999998 \tabularnewline
31 & 1.27833777509582e-14 & 2.55667555019165e-14 & 0.999999999999987 \tabularnewline
32 & 4.32869522000716e-14 & 8.65739044001432e-14 & 0.999999999999957 \tabularnewline
33 & 9.29599050814612e-14 & 1.85919810162922e-13 & 0.999999999999907 \tabularnewline
34 & 1.12593908987427e-13 & 2.25187817974854e-13 & 0.999999999999887 \tabularnewline
35 & 8.0463709382234e-14 & 1.60927418764468e-13 & 0.99999999999992 \tabularnewline
36 & 1.24621122202364e-12 & 2.49242244404729e-12 & 0.999999999998754 \tabularnewline
37 & 2.95477720478734e-12 & 5.90955440957469e-12 & 0.999999999997045 \tabularnewline
38 & 1.15884380722128e-12 & 2.31768761444256e-12 & 0.99999999999884 \tabularnewline
39 & 1.52714181695290e-11 & 3.05428363390579e-11 & 0.999999999984729 \tabularnewline
40 & 6.68000350007444e-11 & 1.33600070001489e-10 & 0.9999999999332 \tabularnewline
41 & 2.48001705911171e-08 & 4.96003411822341e-08 & 0.99999997519983 \tabularnewline
42 & 2.53445649284372e-06 & 5.06891298568743e-06 & 0.999997465543507 \tabularnewline
43 & 0.000132620007404799 & 0.000265240014809599 & 0.999867379992595 \tabularnewline
44 & 0.00623118979454409 & 0.0124623795890882 & 0.993768810205456 \tabularnewline
45 & 0.0310331094549097 & 0.0620662189098194 & 0.96896689054509 \tabularnewline
46 & 0.609863235718234 & 0.780273528563532 & 0.390136764281766 \tabularnewline
47 & 0.965225314070416 & 0.0695493718591685 & 0.0347746859295843 \tabularnewline
48 & 0.98801082456868 & 0.0239783508626397 & 0.0119891754313199 \tabularnewline
49 & 0.983505652866377 & 0.0329886942672455 & 0.0164943471336227 \tabularnewline
50 & 0.992191492704966 & 0.0156170145900686 & 0.0078085072950343 \tabularnewline
51 & 0.999036418051118 & 0.00192716389776367 & 0.000963581948881833 \tabularnewline
52 & 0.999937156417455 & 0.000125687165090443 & 6.28435825452216e-05 \tabularnewline
53 & 0.999974946456158 & 5.01070876830934e-05 & 2.50535438415467e-05 \tabularnewline
54 & 0.999948724833536 & 0.000102550332928613 & 5.12751664643066e-05 \tabularnewline
55 & 0.999975696993319 & 4.86060133616989e-05 & 2.43030066808494e-05 \tabularnewline
56 & 0.999950655904092 & 9.86881918165523e-05 & 4.93440959082762e-05 \tabularnewline
57 & 0.999924182823928 & 0.000151634352143459 & 7.58171760717297e-05 \tabularnewline
58 & 0.999956687971086 & 8.66240578278326e-05 & 4.33120289139163e-05 \tabularnewline
59 & 0.999988580451461 & 2.28390970774649e-05 & 1.14195485387325e-05 \tabularnewline
60 & 0.999993031924616 & 1.39361507681172e-05 & 6.9680753840586e-06 \tabularnewline
61 & 0.999916089826802 & 0.000167820346395872 & 8.39101731979362e-05 \tabularnewline
62 & 0.99961865616978 & 0.000762687660440099 & 0.000381343830220050 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114946&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]8[/C][C]0.000494957745696449[/C][C]0.000989915491392898[/C][C]0.999505042254303[/C][/ROW]
[ROW][C]9[/C][C]4.29981642254462e-05[/C][C]8.59963284508925e-05[/C][C]0.999957001835775[/C][/ROW]
[ROW][C]10[/C][C]1.61350558111365e-05[/C][C]3.2270111622273e-05[/C][C]0.999983864944189[/C][/ROW]
[ROW][C]11[/C][C]2.22287783528556e-06[/C][C]4.44575567057112e-06[/C][C]0.999997777122165[/C][/ROW]
[ROW][C]12[/C][C]3.63541665512902e-07[/C][C]7.27083331025804e-07[/C][C]0.999999636458335[/C][/ROW]
[ROW][C]13[/C][C]1.24353878019616e-06[/C][C]2.48707756039231e-06[/C][C]0.99999875646122[/C][/ROW]
[ROW][C]14[/C][C]1.93981569377450e-07[/C][C]3.87963138754899e-07[/C][C]0.99999980601843[/C][/ROW]
[ROW][C]15[/C][C]2.48262665574746e-08[/C][C]4.96525331149491e-08[/C][C]0.999999975173733[/C][/ROW]
[ROW][C]16[/C][C]6.67018604696201e-09[/C][C]1.33403720939240e-08[/C][C]0.999999993329814[/C][/ROW]
[ROW][C]17[/C][C]1.15527129351079e-09[/C][C]2.31054258702158e-09[/C][C]0.999999998844729[/C][/ROW]
[ROW][C]18[/C][C]2.78690220494841e-10[/C][C]5.57380440989683e-10[/C][C]0.99999999972131[/C][/ROW]
[ROW][C]19[/C][C]1.81668604129252e-10[/C][C]3.63337208258504e-10[/C][C]0.999999999818331[/C][/ROW]
[ROW][C]20[/C][C]1.71235935236908e-10[/C][C]3.42471870473816e-10[/C][C]0.999999999828764[/C][/ROW]
[ROW][C]21[/C][C]2.73571198606896e-11[/C][C]5.47142397213791e-11[/C][C]0.999999999972643[/C][/ROW]
[ROW][C]22[/C][C]5.46131305634625e-12[/C][C]1.09226261126925e-11[/C][C]0.999999999994539[/C][/ROW]
[ROW][C]23[/C][C]1.07679792988648e-12[/C][C]2.15359585977296e-12[/C][C]0.999999999998923[/C][/ROW]
[ROW][C]24[/C][C]4.27155149592156e-13[/C][C]8.54310299184311e-13[/C][C]0.999999999999573[/C][/ROW]
[ROW][C]25[/C][C]2.38764727244519e-13[/C][C]4.77529454489039e-13[/C][C]0.999999999999761[/C][/ROW]
[ROW][C]26[/C][C]6.04816663873705e-14[/C][C]1.20963332774741e-13[/C][C]0.99999999999994[/C][/ROW]
[ROW][C]27[/C][C]1.00286712244307e-14[/C][C]2.00573424488615e-14[/C][C]0.99999999999999[/C][/ROW]
[ROW][C]28[/C][C]4.2135048092817e-15[/C][C]8.4270096185634e-15[/C][C]0.999999999999996[/C][/ROW]
[ROW][C]29[/C][C]9.97559858414151e-16[/C][C]1.99511971682830e-15[/C][C]0.999999999999999[/C][/ROW]
[ROW][C]30[/C][C]1.90852446213023e-14[/C][C]3.81704892426046e-14[/C][C]0.99999999999998[/C][/ROW]
[ROW][C]31[/C][C]1.27833777509582e-14[/C][C]2.55667555019165e-14[/C][C]0.999999999999987[/C][/ROW]
[ROW][C]32[/C][C]4.32869522000716e-14[/C][C]8.65739044001432e-14[/C][C]0.999999999999957[/C][/ROW]
[ROW][C]33[/C][C]9.29599050814612e-14[/C][C]1.85919810162922e-13[/C][C]0.999999999999907[/C][/ROW]
[ROW][C]34[/C][C]1.12593908987427e-13[/C][C]2.25187817974854e-13[/C][C]0.999999999999887[/C][/ROW]
[ROW][C]35[/C][C]8.0463709382234e-14[/C][C]1.60927418764468e-13[/C][C]0.99999999999992[/C][/ROW]
[ROW][C]36[/C][C]1.24621122202364e-12[/C][C]2.49242244404729e-12[/C][C]0.999999999998754[/C][/ROW]
[ROW][C]37[/C][C]2.95477720478734e-12[/C][C]5.90955440957469e-12[/C][C]0.999999999997045[/C][/ROW]
[ROW][C]38[/C][C]1.15884380722128e-12[/C][C]2.31768761444256e-12[/C][C]0.99999999999884[/C][/ROW]
[ROW][C]39[/C][C]1.52714181695290e-11[/C][C]3.05428363390579e-11[/C][C]0.999999999984729[/C][/ROW]
[ROW][C]40[/C][C]6.68000350007444e-11[/C][C]1.33600070001489e-10[/C][C]0.9999999999332[/C][/ROW]
[ROW][C]41[/C][C]2.48001705911171e-08[/C][C]4.96003411822341e-08[/C][C]0.99999997519983[/C][/ROW]
[ROW][C]42[/C][C]2.53445649284372e-06[/C][C]5.06891298568743e-06[/C][C]0.999997465543507[/C][/ROW]
[ROW][C]43[/C][C]0.000132620007404799[/C][C]0.000265240014809599[/C][C]0.999867379992595[/C][/ROW]
[ROW][C]44[/C][C]0.00623118979454409[/C][C]0.0124623795890882[/C][C]0.993768810205456[/C][/ROW]
[ROW][C]45[/C][C]0.0310331094549097[/C][C]0.0620662189098194[/C][C]0.96896689054509[/C][/ROW]
[ROW][C]46[/C][C]0.609863235718234[/C][C]0.780273528563532[/C][C]0.390136764281766[/C][/ROW]
[ROW][C]47[/C][C]0.965225314070416[/C][C]0.0695493718591685[/C][C]0.0347746859295843[/C][/ROW]
[ROW][C]48[/C][C]0.98801082456868[/C][C]0.0239783508626397[/C][C]0.0119891754313199[/C][/ROW]
[ROW][C]49[/C][C]0.983505652866377[/C][C]0.0329886942672455[/C][C]0.0164943471336227[/C][/ROW]
[ROW][C]50[/C][C]0.992191492704966[/C][C]0.0156170145900686[/C][C]0.0078085072950343[/C][/ROW]
[ROW][C]51[/C][C]0.999036418051118[/C][C]0.00192716389776367[/C][C]0.000963581948881833[/C][/ROW]
[ROW][C]52[/C][C]0.999937156417455[/C][C]0.000125687165090443[/C][C]6.28435825452216e-05[/C][/ROW]
[ROW][C]53[/C][C]0.999974946456158[/C][C]5.01070876830934e-05[/C][C]2.50535438415467e-05[/C][/ROW]
[ROW][C]54[/C][C]0.999948724833536[/C][C]0.000102550332928613[/C][C]5.12751664643066e-05[/C][/ROW]
[ROW][C]55[/C][C]0.999975696993319[/C][C]4.86060133616989e-05[/C][C]2.43030066808494e-05[/C][/ROW]
[ROW][C]56[/C][C]0.999950655904092[/C][C]9.86881918165523e-05[/C][C]4.93440959082762e-05[/C][/ROW]
[ROW][C]57[/C][C]0.999924182823928[/C][C]0.000151634352143459[/C][C]7.58171760717297e-05[/C][/ROW]
[ROW][C]58[/C][C]0.999956687971086[/C][C]8.66240578278326e-05[/C][C]4.33120289139163e-05[/C][/ROW]
[ROW][C]59[/C][C]0.999988580451461[/C][C]2.28390970774649e-05[/C][C]1.14195485387325e-05[/C][/ROW]
[ROW][C]60[/C][C]0.999993031924616[/C][C]1.39361507681172e-05[/C][C]6.9680753840586e-06[/C][/ROW]
[ROW][C]61[/C][C]0.999916089826802[/C][C]0.000167820346395872[/C][C]8.39101731979362e-05[/C][/ROW]
[ROW][C]62[/C][C]0.99961865616978[/C][C]0.000762687660440099[/C][C]0.000381343830220050[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114946&T=5
Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114946&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 | | 8 | 0.000494957745696449 | 0.000989915491392898 | 0.999505042254303 | | 9 | 4.29981642254462e-05 | 8.59963284508925e-05 | 0.999957001835775 | | 10 | 1.61350558111365e-05 | 3.2270111622273e-05 | 0.999983864944189 | | 11 | 2.22287783528556e-06 | 4.44575567057112e-06 | 0.999997777122165 | | 12 | 3.63541665512902e-07 | 7.27083331025804e-07 | 0.999999636458335 | | 13 | 1.24353878019616e-06 | 2.48707756039231e-06 | 0.99999875646122 | | 14 | 1.93981569377450e-07 | 3.87963138754899e-07 | 0.99999980601843 | | 15 | 2.48262665574746e-08 | 4.96525331149491e-08 | 0.999999975173733 | | 16 | 6.67018604696201e-09 | 1.33403720939240e-08 | 0.999999993329814 | | 17 | 1.15527129351079e-09 | 2.31054258702158e-09 | 0.999999998844729 | | 18 | 2.78690220494841e-10 | 5.57380440989683e-10 | 0.99999999972131 | | 19 | 1.81668604129252e-10 | 3.63337208258504e-10 | 0.999999999818331 | | 20 | 1.71235935236908e-10 | 3.42471870473816e-10 | 0.999999999828764 | | 21 | 2.73571198606896e-11 | 5.47142397213791e-11 | 0.999999999972643 | | 22 | 5.46131305634625e-12 | 1.09226261126925e-11 | 0.999999999994539 | | 23 | 1.07679792988648e-12 | 2.15359585977296e-12 | 0.999999999998923 | | 24 | 4.27155149592156e-13 | 8.54310299184311e-13 | 0.999999999999573 | | 25 | 2.38764727244519e-13 | 4.77529454489039e-13 | 0.999999999999761 | | 26 | 6.04816663873705e-14 | 1.20963332774741e-13 | 0.99999999999994 | | 27 | 1.00286712244307e-14 | 2.00573424488615e-14 | 0.99999999999999 | | 28 | 4.2135048092817e-15 | 8.4270096185634e-15 | 0.999999999999996 | | 29 | 9.97559858414151e-16 | 1.99511971682830e-15 | 0.999999999999999 | | 30 | 1.90852446213023e-14 | 3.81704892426046e-14 | 0.99999999999998 | | 31 | 1.27833777509582e-14 | 2.55667555019165e-14 | 0.999999999999987 | | 32 | 4.32869522000716e-14 | 8.65739044001432e-14 | 0.999999999999957 | | 33 | 9.29599050814612e-14 | 1.85919810162922e-13 | 0.999999999999907 | | 34 | 1.12593908987427e-13 | 2.25187817974854e-13 | 0.999999999999887 | | 35 | 8.0463709382234e-14 | 1.60927418764468e-13 | 0.99999999999992 | | 36 | 1.24621122202364e-12 | 2.49242244404729e-12 | 0.999999999998754 | | 37 | 2.95477720478734e-12 | 5.90955440957469e-12 | 0.999999999997045 | | 38 | 1.15884380722128e-12 | 2.31768761444256e-12 | 0.99999999999884 | | 39 | 1.52714181695290e-11 | 3.05428363390579e-11 | 0.999999999984729 | | 40 | 6.68000350007444e-11 | 1.33600070001489e-10 | 0.9999999999332 | | 41 | 2.48001705911171e-08 | 4.96003411822341e-08 | 0.99999997519983 | | 42 | 2.53445649284372e-06 | 5.06891298568743e-06 | 0.999997465543507 | | 43 | 0.000132620007404799 | 0.000265240014809599 | 0.999867379992595 | | 44 | 0.00623118979454409 | 0.0124623795890882 | 0.993768810205456 | | 45 | 0.0310331094549097 | 0.0620662189098194 | 0.96896689054509 | | 46 | 0.609863235718234 | 0.780273528563532 | 0.390136764281766 | | 47 | 0.965225314070416 | 0.0695493718591685 | 0.0347746859295843 | | 48 | 0.98801082456868 | 0.0239783508626397 | 0.0119891754313199 | | 49 | 0.983505652866377 | 0.0329886942672455 | 0.0164943471336227 | | 50 | 0.992191492704966 | 0.0156170145900686 | 0.0078085072950343 | | 51 | 0.999036418051118 | 0.00192716389776367 | 0.000963581948881833 | | 52 | 0.999937156417455 | 0.000125687165090443 | 6.28435825452216e-05 | | 53 | 0.999974946456158 | 5.01070876830934e-05 | 2.50535438415467e-05 | | 54 | 0.999948724833536 | 0.000102550332928613 | 5.12751664643066e-05 | | 55 | 0.999975696993319 | 4.86060133616989e-05 | 2.43030066808494e-05 | | 56 | 0.999950655904092 | 9.86881918165523e-05 | 4.93440959082762e-05 | | 57 | 0.999924182823928 | 0.000151634352143459 | 7.58171760717297e-05 | | 58 | 0.999956687971086 | 8.66240578278326e-05 | 4.33120289139163e-05 | | 59 | 0.999988580451461 | 2.28390970774649e-05 | 1.14195485387325e-05 | | 60 | 0.999993031924616 | 1.39361507681172e-05 | 6.9680753840586e-06 | | 61 | 0.999916089826802 | 0.000167820346395872 | 8.39101731979362e-05 | | 62 | 0.99961865616978 | 0.000762687660440099 | 0.000381343830220050 |
If you paste this QR Code into your document, anyone with a smartphone or tablet will be able to scan it and view this table in a browser.
If you paste this QR Code into your document, anyone with a smartphone or tablet will be able to scan it and view this table in a browser.
If you paste this QR Code into your document, anyone with a smartphone or tablet will be able to scan it and view this table in a browser.
If you paste this QR Code into your document, anyone with a smartphone or tablet will be able to scan it and view this table in a browser.
If you paste this QR Code into your document, anyone with a smartphone or tablet will be able to scan it and view this table in a browser.
| Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | | Description | # significant tests | % significant tests | OK/NOK | | 1% type I error level | 48 | 0.872727272727273 | NOK | | 5% type I error level | 52 | 0.945454545454545 | NOK | | 10% type I error level | 54 | 0.981818181818182 | 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 & 48 & 0.872727272727273 & NOK \tabularnewline
5% type I error level & 52 & 0.945454545454545 & NOK \tabularnewline
10% type I error level & 54 & 0.981818181818182 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114946&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]48[/C][C]0.872727272727273[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]52[/C][C]0.945454545454545[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]54[/C][C]0.981818181818182[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114946&T=6
Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114946&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 | 48 | 0.872727272727273 | NOK | | 5% type I error level | 52 | 0.945454545454545 | NOK | | 10% type I error level | 54 | 0.981818181818182 | NOK |
If you paste this QR Code into your document, anyone with a smartphone or tablet will be able to scan it and view this table in a browser.
If you paste this QR Code into your document, anyone with a smartphone or tablet will be able to scan it and view this table in a browser.
If you paste this QR Code into your document, anyone with a smartphone or tablet will be able to scan it and view this table in a browser.
If you paste this QR Code into your document, anyone with a smartphone or tablet will be able to scan it and view this table in a browser.
If you paste this QR Code into your document, anyone with a smartphone or tablet will be able to scan it and view this table in a browser.
|
