In Professor Smith's statistics course, the correlation between students' total scores before the final exam and their final exam scores is r = 0.67. The preexam totals for all students in the course have a mean of 275 and a standard deviation of 26. The final exam scores have a mean of 71 and a standard deviation of 6. Professor Smith has lost Jane's final exam, so decides to predict her final exam score based on her preexam course total, which is 293. Use leastsquares regression to predict Jane's final exam score.
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