In the simple linear regression model for average SAT score, (`total`

) as a function of average teacher salary (`salary`

), the fitted coefficient was -5.02 points per thousand dollars. This suggests that for every additional thousand dollars of salary for teachers in a particular state, the expected SAT score for a student from that state is about 5 points lower.

In the model that includes the percentage of students taking the SAT, the coefficient on `salary`

becomes 1.84 points per thousand dollars. Choose the correct interpretation of this slope coefficient.

50 XP

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