CASE 1: The Hartley-Davis The Hartley-Davis motorcycle dealer in the Minneapolis-St. Paul area wants to be able to forecast accurately the demand for the Roadhog Super motorcycle during the next month. From sales records, the dealer has accumulated the data in the following table for the past year: Q1: What is the 3 week moving average forecast for April? (Round to two decimals) Q9; According to The Hartley-Davis What is the 3 week moving average forecast for July? (Round to two decimals) Q2: According to The Hartley-Davis What is the 3 week moving average forecast for January? (Round to two decimals) Q5. Forecast methods based on judgment, opinion, past experiences, or best guesses are known as methods. a) quantitative b) qualitative c) time series d) regression e) none of above is true Q7: According to The Hartley-Davis What is the 5 week moving average forecast for September? (Round to two decimals) Q4: According to The Hartley-Davis What is the 5 week moving average forecast for January? (Round to two decimals) Q12; According to The Hartley-Davis What is the 3 week weighted moving average forecast for November if weights are 0.5,0.3 and 0.2 , using the rule the recent has the highest weight? (Round to two decimals) Question 8 0.2pts Q10; According to The Hartley-Davis What is the 3 week weighted moving average forecast for July if weights are 0.5,0.3 and 0.2 , using the rule the recent has the highest weight? (Round to two decimals)