IIUVY uuu 3. (2 points) Chapter 8, Problem 14 from the textbook (Note: each step keep three decimal points if the answer is not a whole number) predictor is temperature for attendance? 23 14. Small Wonder, an amusement park, experiences seasonal attendance. It has collected two years of quarterly attendance data and made a forecast of annual attendance for the coming 5 year. Compute the seasonal indexes for the four quarters and generate quarterly forecasts for the coming year, assuming annual attendance for the coming year to be 1525. Quarter Fall Winter Spring Summer Park Attendance (in thousands) Year 1 Year 2 352 391 156 212 489 518 314 352 15. Burger Lover Restaurant forecasts weekly sales of cheeseburgers. Based on historical observations over the past five novt neriod using the following 4. (2 points) Xun Co. sells TVs in three cities. Management wants to generate a linear regression equation to: (1) use sales to predict future investment in advertisement. Given a =5000, b=0.05, and sales = $10 million, what is the predicted investment in advertisement? (2) use advertisement to predict future sales. Given a=100,000, b=0.2, and advertisement=$1 million, what is the predicted future sales? (3) If the correlation coefficient between sales and advertisement is 0.2, what does this number imply about the relationship between sales and advertisement? (4) Assuming that advertisement is used to predict sales and the generated Coefficient of Determination (r) is 0.04, how do you interpret this number