You are given the following set of data:

a. Determine the appropriate correlation matrix and use it to predict which variable will enter in the first step of a stepwise regression model.
b. Use standard stepwise regression to construct a model, entering all significant variables.
c. Construct a full regression model. What are the differences in the model? Which model explains the most variation in the dependent variable?