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Use the information below to answer Qu 7 and 8 The least squares regression line for the college applications forecast based on changes in tuition

Use the information below to answer Qu 7 and 8 The least squares regression line for the college applications forecast based on changes in tuition is given below: Y = 6541.571 -0.4487X 7. Approximately how many applications does the college expect to lose for every $1,000 increase in tuition? A. 12350 B. 6093 C. 6102 D. 1681 E. 449 8. How many applications do you predict the college will receive if the tuition rate is set to $7,000, (Round to the nearest integer). A. 9682 B. 3401 C. -1022 D. 1022 E. None of the above
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Use the information below to answer Qu 7 and 8 The least squares regression line for the college applications forecast based on changes in tuition is given below: Y= 6541.5710.4487X 7. Approximately how many applications does the college expect to lose for every $1,000 increase in tuition? A. 12350 B. 6093 C. 6102 D. 1681 (E.) 449 8. How many applications do you predict the college will receive if the tuition rate is set to $7,000, (Round to the nearest integer). A. 9682 B. 3401 C. -1022 D. 1022 E. None of the above

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