In a statistics course, a linear regression equation was computed to predict the final exam score from the score on the first test. The equation of the least-squares regression line was: y = 8.5 + 0.85x where y represents the predicted final exam score and x 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) 90. (B) 85. (C) 80. (D) The value cannot be determined from the information given. We also need to know the correlation. (E) none of the above