Correlation and Simple Regression1.
Correlation: relationship between two variables A. Pearson correlation (between two continuous variables)
B. Point-biserial correlation (between one continuous variable and one binary variable)
C. Phi correlation (between two binary variables)
2.
Simple Regression: 'predictive' relationship between a dependent variable (DV) and an independent variable (IV) A. R square = explained variation of the DV by the IV / total variation of the DV = SSR / SST
B. F test for testing the signficance of R square = MSR / MSE = (SSR/df) / (SSE/df)
C. t test for testing the signficance of the slope b1
D. standardized b1
E. confidence interval for the slope b1 |