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May 29, 2015

Homework Help: Statistics

Posted by Kevin on Sunday, October 21, 2012 at 11:08pm.

In Professor White’s statistics course the correlation between the students’ total scores before the final examination and their final examination scores is r = 0.9. The pre-exam totals for all students in the course have mean 275 and standard deviation 50. The final exam scores have mean 70 and standard deviation 10. Professor White has lost Mary’s total scores before the exam but knows her final exam was 81. He decides to predict her pre-exam total from her final score.

4-1) (2 marks) What is the slope of the least-squares regression line of pre-exam total scores on final exam scores in this course? What is the intercept?

4-2) (1 mark) Use the regression line to predict Mary’s pre-exam total scores.

4-3) (2 marks) Mary doesn’t think this method accurately predicts how well she did on the pre-exam. Calculate r2 and use the value you get to argue that her actual score could have been much higher or much lower than the predicted value.

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