20. In a statistics course, a linear regression equation was computed to predict

Question

20. In a statistics course, a linear regression equation was computed to predict the final exa score from the score on the first test. The equation of the least-squares regression line was -10+09x where y represents the final exam score and r is the score on the first exam. Suppose Joe scores a 90 on the first exam. What would be the predicted value of his score on the final exam? A) 91 B) 89 C) 81 D) The value cannot be determined from the information given. We also need to know the correlation. Page 8

Explanation / Answer

Given that y = 10+0.9x

where y = final score and x = score on the first test

Now, x = 90

so, y = 10+0.9(90) = 91

So answer is option (a) 91

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