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Created: Dec 11, 2018
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Simple Linear Regression
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Simple linear regression results:

Dependent Variable: Test Avg
Independent Variable: HW Avg
Test Avg = 34.098824 + 0.53312854 HW Avg
Sample size: 65
R (correlation coefficient) = 0.55674217
R-sq = 0.30996184
Estimate of error standard deviation: 16.301389

Parameter estimates:

ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept34.0988247.9668137 ≠ 0634.2801081<0.0001
Slope0.533128540.10021762 ≠ 0635.3197085<0.0001

Analysis of variance table for regression model:


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