Multiple choice: Regression effects Multiple regression is used to model y = college cumulative performance index (CPI) using 
1 = high school grade and 2 = average monthly attendance percentage.
a. It is possible that the coefficient of 1 is positive in a simple regression but negative in multiple regression.
b. It is possible that the correlation between y and 2 is 0.60 and the multiple correlation between y and 1 and 2 is 0.36.
c. If the F statistic for H0: 
1 = 2 = 0 has a P-value = 0.004, then we can conclude that both predictors have an effect on CPI.
d. If 2 = 0, then CPI is independent of 2 in simple regression.
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