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Compute a 3-month and weighted moving average and also compare the forecast using MAD.The manager of the Carpet City outlet needs to make an accurate forecast of the demand for Soft Shag carpet (its biggest seller). If the manager does not order enough carpet from t he carpet mill, customers will buy their carpet from one of Carpet's City's many competitors. The manager has collected the following demand data for the past 8 months:Month Demand for Soft Shag Carpet (1,000 yd.)
1 82 123 74 95 156 117 108 12
A. Compute a 3-month moving average forecast for months 4 through 9(use excel)
B. Compute a weighted 3-month moving average forecast for months 4 through 9. Assign weights of .55, .33, and .12 to the months is sequence, starting with the most recent month.
C. Compare the two forecasts by using MAD. Which forecast appears to be more accurate?
Between what two values does the P -value of this test fall?
how many individuals will I need to sample if I want a 95% margin of error to be no more than 3%, I want to know if the results are significant at = 10%. With the information given.
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Carry out the suitable calculations to test for effect modification. Interpret your results.
Evaluate the multiple regression model between quantity sold (Y) and following explanatory variables: average price of deep-dish pizzas, monthly advertising expenditures, and disposable income per household in areas surrounding outlets.
A probability value of .25 means that an event will occur:
A savings account was opened for a baby on 1985 with a $100 deposit. No withdrawals or deposits occurred since the account was opened. The current balance of the account is $246.47. Measured in dollars of the year in which the account was opened, how..
Graphical method to solveout the linear programming problem. Describe where the following TEO constraints intersect.
Confirm that these statements are accurate by finding the geometric mean rate of increase.
Construct a scatter plot of P-RFM and P-HELM. If drawing the plot by hand, use graph paper to ensure accuracy.
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