Calculate all correlations between quantitative variables. Calculate all correlations between quantitative variables. Among independent variables make a not of correlations greater than .9. Between your dependent variable and independent quantitative variables rank correlations from high to low.
- Calculate P-values on all correlations. Between your dependent and independent variables note the ones that are statistically significant at the 5% level.
- Calculate all partial correlations between your dependent and independent variables and rank them from high to low.
- Evaluate two-dimensional graphs between your dependent and each quantitative independent variable. Note any pattern of non-linearity.
- Derive box plots between your dependent variable and all factor variables. See if their are any outliers. Make a note of any that exist.
- Derive a best regression model based on your sample. Allow independent variables to enter the model at the 20% significance level. How does this model compare with your understanding of the drivers of mpg? If they differ what might explain this difference.