In a statistics course, a linear regression equation was computed to predict the final exam score from the score midterm exam. The equation of the least-squares regression line was ŷ = 10 + 0.9x, where y represents the fin score and x is the midterm exam score. Suppose Joe scores an 80 on the midterm exam. What would be the pre value of his score on the final exam? The answer cannot be determined from the information given. O 91 82 81

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Author:Amos Gilat
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In a statistics course, a linear regression equation was computed to predict the final exam score from the score on the
midterm exam. The equation of the least-squares regression line was ŷ = 10 + 0.9x, where y represents the final exam
score and x is the midterm exam score. Suppose Joe scores an 80 on the midterm exam. What would be the predicted
value of his score on the final exam?
O The answer cannot be determined from the information given.
91
82
O 81
Transcribed Image Text:In a statistics course, a linear regression equation was computed to predict the final exam score from the score on the midterm exam. The equation of the least-squares regression line was ŷ = 10 + 0.9x, where y represents the final exam score and x is the midterm exam score. Suppose Joe scores an 80 on the midterm exam. What would be the predicted value of his score on the final exam? O The answer cannot be determined from the information given. 91 82 O 81
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