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Created: Aug 18, 2019
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Simple Linear Regression
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Simple linear regression results:


Dependent Variable: var2
Independent Variable: var1
var2 = -47219.815 + 2.6864915 var1
Sample size: 8
R (correlation coefficient) = 0.66212012
R-sq = 0.43840306
Estimate of error standard deviation: 38430.556

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept-47219.81572856.076 ≠ 06-0.64812460.5409
Slope2.68649151.2413248 ≠ 062.16421320.0736

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model16.9175678e96.9175678e94.68381890.0736
Error68.8614458e91.4769076e9
Total71.5779014e10


HTML link:
<A href="https://www.statcrunch.com/5.0/viewresult.php?resid=2718944">Simple Linear Regression</A>

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