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Created: Jun 12, 2019
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Simple Linear Regression
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Simple linear regression results:


Dependent Variable: Miles per Gallon, y
Independent Variable: Weight (pounds), x
Miles per Gallon, y = 44.209306 - 0.0069057282 Weight (pounds), x
Sample size: 11
R (correlation coefficient) = -0.95962632
R-sq = 0.92088267
Estimate of error standard deviation: 0.93074958

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept44.2093062.2232496 ≠ 0919.884994<0.0001
Slope-0.00690572820.00067471735 ≠ 09-10.234994<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model190.74880190.748801104.75511<0.0001
Error97.79665310.86629479
Total1098.545455


HTML link:
<A href="https://www.statcrunch.com/5.0/viewresult.php?resid=2699106">Simple Linear Regression</A>

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