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Workshop 6 Q3

R Software Module: slr.wasp (opens new window with default values)
Title produced by software: Simple Regression
Date of computation: Sun, 18 Nov 2007 08:57:04 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2007/Nov/18/t11954010471oh52nfdcyhuqc9.htm/, Retrieved Sun, 18 Nov 2007 16:50:47 +0100
 
User-defined keywords:
simple lineair regression
 
Dataseries X:
» Textbox « » Textfile « » CSV «
115,9 112,9 126,3 116,8 112 129,7 113,6 115,7 119,5 125,8 129,6 128 112,8 101,6 123,9 118,8 109,1 130,6 112,4 111 116,2 119,8 117,2 127,3 107,7 97,5 120,1 110,6 111,3 119,8 105,5 108,7 128,7 119,5 121,1 128,4 108,8 107,5 125,6 102,9 107,5 120,4 104,3 100,6 121,9 112,7 124,9 123,9 102,2 104,9 109,8 98,9 107,3 112,6 104 110,6 100,8 103,8 117 108,4 95,5 96,9 103,9 101,1 100,6 104,3 98 99,5 97,4 105,6 117,5 107,4 97,8 91,5 107,7 100,1 96,6 106,8 98 98,6
 
Dataseries Y:
» Textbox « » Textfile « » CSV «
100,6 96,1 110 108,2 106,9 117,2 105,2 106,3 95,9 107,5 113 111,4 95,5 90,3 110,8 107,1 101,4 112,9 98,5 100,1 93,4 104,4 101,8 107,9 91,3 86,6 111,4 98,4 102,2 103 95,8 96 95,7 106,4 112 116,2 93,9 100,5 112,5 101,2 107,8 114,3 99,6 98,6 93,6 99,6 113,1 110,7 88,1 93,1 107,4 99,5 105,6 108,3 99,2 99,3 107,1 106,9 115,4 99 100,1 96,2 96,9 96,2 91 99 99 107,2 110,8 111,1 104,6 94,3 90,7 88,8 90,9 90,5 95,5 103,1 100,6 103,1
 
Text written by user:
 
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
Constant51.687372
Beta0.4528270.0675386.704811 H0: beta = 0
Elasticity0.4933420.073580-6.885790 H0: elast. = 1

Simple Linear Regression - Analysis of Variance
ANOVADFSum of SquaresMean Square
Regression1.0000001639.7237991639.723799
Residual78.0000002845.06507636.475193
Total79.0000004484.78887556.769479
F-TEST44.954492

Simple Linear Regression - Autocorrelation
StatisticValue
Durbin-Watson1.183452
Von Neumann Ratio1.198432
rho - Least Squares0.404499
rho - Maximum Likelihood0.399785
rho - Serial Correlation0.403032
rho - Goldberger0.402135

Simple Linear Regression - Descriptive Statistics
StatisticValue
Mean X111.143750
Biased Variance X99.957711
Biased S.E. X9.997885
Mean Y102.016250
Biased Variance Y56.059861
Biased S.E. Y7.487313
Mean F102.016250
Biased Variance F20.496547
Biased S.E. F4.527311
Mean e0.000000
Biased Variance e35.563313
Biased S.E. e0.675233




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





Copyright

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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