Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Moduleslr.wasp
Title produced by softwareSimple Regression
Date of computationThu, 13 Mar 2008 18:09:18 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Mar/14/t1205453399pxogebtid8r00xb.htm/, Retrieved Sat, 18 May 2024 13:17:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=10072, Retrieved Sat, 18 May 2024 13:17:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact282
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Simple Regression] [MLK 2] [2008-03-14 00:09:18] [d41d8cd98f00b204e9800998ecf8427e] [Current]
Feedback Forum

Post a new message
Dataseries X:
164900
153250
168000
158000
234521
Dataseries Y:
868
836
840
750
1200




Simple Linear Regression - Ungrouped Data
ParameterValueS.E.T-STATNotes
Constant9.068607
Beta0.0050630.0007276.962448 H0: beta = 0
Elasticity0.9899100.142178-0.070965 H0: elast. = 1

\begin{tabular}{lllllllll}
\hline

Simple Linear Regression - Ungrouped Data \tabularnewline

Parameter & Value & S.E. & T-STAT & Notes \tabularnewline

Constant
9.068607 & & & \tabularnewline Beta0.0050630.0007276.962448 H0: beta = 0 \tabularnewline Elasticity0.9899100.142178-0.070965 H0: elast. = 1 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=10072&T=0

[TABLE]

[ROW][C]Simple Linear Regression - Ungrouped Data[/C][/ROW]

[ROW][C]Parameter[/C][C]Value[/C][C]S.E.[/C][C]T-STAT[/C][C]Notes[/C][/ROW]

[ROW][C]Constant[/C]
9.068607[/C][C][/C][C][/C][C][/C][/ROW] [ROW][C]Beta[/C]0.005063[/C]0.000727[/C]6.962448[/C] H0: beta = 0[/C][/ROW] [ROW][C]Elasticity[/C]0.989910[/C]0.142178[/C]-0.070965[/C] H0: elast. = 1[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=10072&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10072&T=0

As an alternative you can also use a QR Code:  

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

Simple Linear Regression - Ungrouped Data
ParameterValueS.E.T-STATNotes
Constant9.068607
Beta0.0050630.0007276.962448 H0: beta = 0
Elasticity0.9899100.142178-0.070965 H0: elast. = 1







Simple Linear Regression - Analysis of Variance
ANOVADFSum of SquaresMean Square
Regression1.000000114148.524476114148.524476
Residual3.0000007064.2755242354.758508
Total4.000000121212.80000030303.200000
F-TEST48.475682

\begin{tabular}{lllllllll}
\hline

Simple Linear Regression - Analysis of Variance \tabularnewline

ANOVA & DF & Sum of Squares & Mean Square \tabularnewline

Regression
1.000000114148.524476114148.524476 \tabularnewline Residual3.0000007064.2755242354.758508 \tabularnewline Total4.000000121212.80000030303.200000 \tabularnewline F-TEST48.475682 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=10072&T=1

[TABLE]

[ROW][C]Simple Linear Regression - Analysis of Variance[/C][/ROW]

[ROW][C]ANOVA[/C][C]DF[/C][C]Sum of Squares[/C][C]Mean Square[/C][/ROW]

[ROW][C]Regression[/C]
1.000000[/C]114148.524476[/C]114148.524476[/C][/ROW] [ROW][C]Residual[/C]3.000000[/C]7064.275524[/C]2354.758508[/C][/ROW] [ROW][C]Total[/C]4.000000[/C]121212.800000[/C]30303.200000[/C][/ROW] [ROW][C]F-TEST[/C]48.475682[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=10072&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10072&T=1

As an alternative you can also use a QR Code:  

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

Simple Linear Regression - Analysis of Variance
ANOVADFSum of SquaresMean Square
Regression1.000000114148.524476114148.524476
Residual3.0000007064.2755242354.758508
Total4.000000121212.80000030303.200000
F-TEST48.475682







Simple Linear Regression - Autocorrelation
StatisticValue
Durbin-Watson1.583982
Von Neumann Ratio1.979978
rho - Least Squares0.166460
rho - Maximum Likelihood0.180982
rho - Serial Correlation0.207700
rho - Goldberger0.173569

\begin{tabular}{lllllllll}
\hline

Simple Linear Regression - Autocorrelation \tabularnewline

Statistic & Value \tabularnewline

Durbin-Watson
1.583982 \tabularnewline Von Neumann Ratio1.979978 \tabularnewline rho - Least Squares0.166460 \tabularnewline rho - Maximum Likelihood0.180982 \tabularnewline rho - Serial Correlation0.207700 \tabularnewline rho - Goldberger0.173569 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=10072&T=2

[TABLE]

[ROW][C]Simple Linear Regression - Autocorrelation[/C][/ROW]

[ROW][C]Statistic[/C][C]Value[/C][/ROW]

[ROW][C]Durbin-Watson[/C]
1.583982[/C][/ROW] [ROW][C]Von Neumann Ratio[/C]1.979978[/C][/ROW] [ROW][C]rho - Least Squares[/C]0.166460[/C][/ROW] [ROW][C]rho - Maximum Likelihood[/C]0.180982[/C][/ROW] [ROW][C]rho - Serial Correlation[/C]0.207700[/C][/ROW] [ROW][C]rho - Goldberger[/C]0.173569[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=10072&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10072&T=2

As an alternative you can also use a QR Code:  

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

Simple Linear Regression - Autocorrelation
StatisticValue
Durbin-Watson1.583982
Von Neumann Ratio1.979978
rho - Least Squares0.166460
rho - Maximum Likelihood0.180982
rho - Serial Correlation0.207700
rho - Goldberger0.173569







Simple Linear Regression - Descriptive Statistics
StatisticValue
Mean X175734.200000
Biased Variance X8.906253e+8
Biased S.E. X29843.346638
Mean Y898.800000
Biased Variance Y24242.560000
Biased S.E. Y155.700225
Mean F898.800000
Biased Variance F22829.704895
Biased S.E. F151.095019
Mean e0.000000
Biased Variance e1412.855105
Biased S.E. e21.701422

\begin{tabular}{lllllllll}
\hline

Simple Linear Regression - Descriptive Statistics \tabularnewline

Statistic & Value \tabularnewline

Mean X
175734.200000 \tabularnewline Biased Variance X8.906253e+8 \tabularnewline Biased S.E. X29843.346638 \tabularnewline Mean Y898.800000 \tabularnewline Biased Variance Y24242.560000 \tabularnewline Biased S.E. Y155.700225 \tabularnewline Mean F898.800000 \tabularnewline Biased Variance F22829.704895 \tabularnewline Biased S.E. F151.095019 \tabularnewline Mean e0.000000 \tabularnewline Biased Variance e1412.855105 \tabularnewline Biased S.E. e21.701422 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=10072&T=3

[TABLE]

[ROW][C]Simple Linear Regression - Descriptive Statistics[/C][/ROW]

[ROW][C]Statistic[/C][C]Value[/C][/ROW]

[ROW][C]Mean X[/C]
175734.200000[/C][/ROW] [ROW][C]Biased Variance X[/C]8.906253e+8[/C][/ROW] [ROW][C]Biased S.E. X[/C]29843.346638[/C][/ROW] [ROW][C]Mean Y[/C]898.800000[/C][/ROW] [ROW][C]Biased Variance Y[/C]24242.560000[/C][/ROW] [ROW][C]Biased S.E. Y[/C]155.700225[/C][/ROW] [ROW][C]Mean F[/C]898.800000[/C][/ROW] [ROW][C]Biased Variance F[/C]22829.704895[/C][/ROW] [ROW][C]Biased S.E. F[/C]151.095019[/C][/ROW] [ROW][C]Mean e[/C]0.000000[/C][/ROW] [ROW][C]Biased Variance e[/C]1412.855105[/C][/ROW] [ROW][C]Biased S.E. e[/C]21.701422[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=10072&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10072&T=3

As an alternative you can also use a QR Code:  

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

Simple Linear Regression - Descriptive Statistics
StatisticValue
Mean X175734.200000
Biased Variance X8.906253e+8
Biased S.E. X29843.346638
Mean Y898.800000
Biased Variance Y24242.560000
Biased S.E. Y155.700225
Mean F898.800000
Biased Variance F22829.704895
Biased S.E. F151.095019
Mean e0.000000
Biased Variance e1412.855105
Biased S.E. e21.701422



Parameters (Session):
Parameters (R input):
R code (references can be found in the software module):