Question: This problem is based on the single regression you did in the previous chapter. We just added another variable called "freedom index" to turn it into an example of multiple regression. You now have two independent variables ("constitutional law score" and "freedom index") and one dependent variable that counts the "number of measures introduced" by the legislator. The political consultant wants to determine if the scores on knowledge of constitutional law and score of the freedom index are related to the number of gun control laws introduced. He also wishes to extend any findings into the realm of prediction by using it to estimate the number of measures introduced by a legislator rated average on both these independent variables. He also wishes to use the equation to predict for his data, which will permit him to examine the equation's performance when the predicted values are directly compared with the observed values. Use multiple linear regression, write the null and alternative hypotheses, conduct the analysis, write the prediction equations, make the predictions, and interpret the results. His data are as follows:
