Predicting college debt: other measures. Refer to Exercise
Chapter , Problem 10.14(choose chapter or problem)
Predicting college debt: other measures. Refer to Exercise 10.10. Lets now look at AvgDebt and its relationship with all seven measures available in the data set. In addition to the percent of students who borrow (PercBorrow), we have the admittance rate (Admit), the four-year graduation rate (Yr4Grad), in-state tuition after aid (InAfterAid), out-of-state tuition after aid (OutAfterAid), average aid per student (AvgAid), and the number of students per faculty member (StudPerFac). BESTVAL (a) Generate scatterplots of each explanatory variable and AvgDebt. Do all these relationships look linear? Describe what you see. (b) Fit each of the predictors separately and create a table that lists the explanatory variable, model standard deviation s, and the P-value for the test of a linear association. (c) Which variable appears to be the best single predictor of average debt? Explain your answer.
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