Answer to Question 1
b
Answer to Question 2
1 . Select the appropriate dependent variable and independent variables based on the research questions or the hypotheses derived from them.
2 . Select any relevant control variables available in the data set and include as additional independent variables.
3 . Perform multiple regression with appropriate software.
4 . Interpret overall Model F and R2 . The Model F should be statistically significant and the R2 should be of a size to be practically significant to the researcher. While it is impossible to give a cut-off range for R2 that applies to all situations, values less than 10 percent are often suspected as practically insignificant. If the model is statistically and practically significant, proceed to step 5.
5 . Examine VIFs for potential multicollinearity. If no concerns emerge, proceed.
6 . Interpret individual parameter estimates. Consider the statistical significance of each variable, the valence of the relationship (positive or negative), and the relative size of the relationship as best captured with the standardized regression coefficients (b).
7 . Examine residual plots. If no patterns emerge, and homoscedasticity is evident, the researcher can confidently interpret the resulting parameter coefficients for explanatory meaning.
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