Suppose you have many observations of the scores students got on an exam, with other characteristics of the students including how many hours they studied for the exam that week and what is their current major GPA. Now, suppose you ran the standard linear regression of the exam grade on the number of hours studied: Gradei = β0 + β1 Hours Studiedi + Ui and got an estimate of β1, call it b1. Now, suppose a colleague tells you that the students with above average GPAs were the students who studied more for the exam. How does your estimate of β2* in the following regression, Gradei = β0* + β1 Hours Studiedi + β2* Major GPAi + Ui, inform you of what your estimate of what β1* will be for that same regression?
A) If β2* > 0, then β1* > b1
B) If β2* > 0, then β1* < b1
C) If β2* < 0, then β1* > 0
D) If β2* > 0, then β1* > 0
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