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Whats my grade? In Professor Friedmans economics course, the correlation between the

Chapter 3, Problem R3.5

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QUESTION:

Whats my grade? In Professor Friedmans economics course, the correlation between the students total scores prior to the final examination and their finalexamination scores is r = 0.6. The pre-exam totals for all students in the course have mean 280 and standard deviation 30. The final-exam scores have mean 75 and standard deviation 8. Professor Friedman has lost Julies final exam but knows that her total before the exam was 300. He decides to predict her finalexam score from her pre-exam total. (a) Find the equation for the appropriate least-squares regression line for Professor Friedmans prediction. (b) Use the least-squares regression line to predict Julies final-exam score. (c) Explain the meaning of the phrase least squares in the context of this question. (d) Julie doesnt think this method accurately predicts how well she did on the final exam. Determine r 2 . Use this result to argue that her actual score could have been much higher (or much lower) than the predicted value.

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QUESTION:

Whats my grade? In Professor Friedmans economics course, the correlation between the students total scores prior to the final examination and their finalexamination scores is r = 0.6. The pre-exam totals for all students in the course have mean 280 and standard deviation 30. The final-exam scores have mean 75 and standard deviation 8. Professor Friedman has lost Julies final exam but knows that her total before the exam was 300. He decides to predict her finalexam score from her pre-exam total. (a) Find the equation for the appropriate least-squares regression line for Professor Friedmans prediction. (b) Use the least-squares regression line to predict Julies final-exam score. (c) Explain the meaning of the phrase least squares in the context of this question. (d) Julie doesnt think this method accurately predicts how well she did on the final exam. Determine r 2 . Use this result to argue that her actual score could have been much higher (or much lower) than the predicted value.

ANSWER:

Step 1 of 4

Given:

The value of the correlation is  .

The average pre-exam score is 280.

The standard deviation of pre-exam score is 30.

The average final exam score is 75.

The standard deviation of final-exam score is 8.

 

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