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*Unverified author*
R Software Module: slr.wasp (opens new window with default values)
Title produced by software: Simple Regression
Date of computation: Tue, 07 Jul 2009 19:19:27 -0600
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Jul/08/t1247016094y54meduezngoz75.htm/, Retrieved Wed, 08 Jul 2009 03:21:34 +0200
 
BibTeX entries for LaTeX users:
@Manual{KEY,
    author = {{YOUR NAME}},
    publisher = {Office for Research Development and Education},
    title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2009/Jul/08/t1247016094y54meduezngoz75.htm/},
    year = {2009},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2009},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
38 41 45 48 51 53 57 61 65
 
Dataseries Y:
» Textbox « » Textfile « » CSV «
116 120 123 131 142 145 148 150 152
 
Output produced by software:

Enter (or paste) two different data series delimited by hard returns.

X = exogenous variable / Y = endogenous variable



Simple Linear Regression - Ungrouped Data
ParameterValueS.E.T-STATNotes
Constant60.461026
Beta1.4876920.1646859.033552 H0: beta = 0
Elasticity0.5565210.061606-7.198645 H0: elast. = 1

Simple Linear Regression - Analysis of Variance
ANOVADFSum of SquaresMean Square
Regression1.0000001438.5984621438.598462
Residual7.000000123.40153817.628791
Total8.0000001562.000000195.250000
F-TEST81.605054

Simple Linear Regression - Autocorrelation
StatisticValue
Durbin-Watson0.843486
Von Neumann Ratio0.948922
rho - Least Squares0.594700
rho - Maximum Likelihood0.470093
rho - Serial Correlation0.524626
rho - Goldberger0.528738

Simple Linear Regression - Descriptive Statistics
StatisticValue
Mean X51.000000
Biased Variance X72.222222
Biased S.E. X8.498366
Mean Y136.333333
Biased Variance Y173.555556
Biased S.E. Y13.174049
Mean F136.333333
Biased Variance F159.844274
Biased S.E. F12.642954
Mean e0.000000
Biased Variance e13.711282
Biased S.E. e1.399555




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





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Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

Software written by Ed van Stee & Patrick Wessa


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