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 j= 10+ 0.9x...

Extracted text: 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 j= 10+ 0.9x where Y represents the predicted final exam score and x is the score on the first exam. Use Scenario 3-5. Suppose Joe scores a 90 on the first exam. What would be the predicted value of his score on the final exam? O 81 O 89 O 90 O 91 O o o O


Extracted text: 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 j= 10+0.9x where Y represents the predicted final exam score and x is the score on the first exam. Use Scenario 3-5. The first test score is O the response variable. O the slope. O the explanatory variable. O the intercept.