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Mark Gershon, owner of a musical instrument distributorship, thinks that demand for guitars may be related to the number of television appearances by the popular group Maroon 5 during the previous month. Gershon has collected the data shown in the following table: 3 4 7 6 8 5 Maroon 5 TV Appearances Demand for Guitars 3 6 7 5 10 7 This exercise contains only parts b, c, and d. b) Using the least-squares regression method, the equation for forecasting is (round your responses to four decimal places): Y = n + X
Dr. Lillian Fok, a New Orleans psychologist, specializes in treating patients who are agoraphobic (i.e., afraid to leave their homes). The following table indicates how many patients Dr. Fok has seen each year for the past 10 years. It also indicates what the robbery rate was in New Orleans during the same year: Year 1 2 3 4 5 6 7 8 9 10 36 33 40 41 40 55 60 54 58 61 Number of Patients Robbery Rate per 1,000 Population 58.3 61.1 73.4 75.7 81.1 89.0 101.1 94.8 103.2 116.2 The simple linear regression equation that shows the best relationship between the number of patients and year is (round your responses to three decimal places): y = ỹ [+ + X where y = Dependent Variable and x = Independent Variable.
The Carbondale Hospital is considering the purchase of a new ambulance. The decision will rest partly on the anticipated mileage to be driven next year. The miles driven during the past 5 years are as follows: Year 1 2 3 4 5 Mileage 3,000 4,000 3,400 3,800 3,700 a) Using a 2-year moving average, the forecast for year 6 = 3750 miles (round your response to the nearest whole number). b) If a 2-year moving average is used to make the forecast, the MAD based on this = miles (round your response to a whole number). (Hint: You will have only 3 years of matched data.)