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


Dependent Variable: MMNT
Independent Variable: MMXT
MMNT = -88.939267 + 0.92961591 MMXT
Sample size: 60
R (correlation coefficient) = 0.9861195
R-sq = 0.97243166
Estimate of error standard deviation: 15.937247

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept-88.9392673.3708731 ≠ 058-26.384638<0.0001
Slope0.929615910.020552531 ≠ 05845.231212<0.0001

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model1519640.57519640.572045.8626<0.0001
Error5814731.759253.99584
Total59534372.33


HTML link:
<A href="https://www.statcrunch.com/5.0/viewresult.php?resid=2718399">Simple Linear Regression</A>

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