# Question

A mail-order firm has found the following seasonal indexes for the number of calls received each month. Below the seasonal indexes is the actual number of calls (thousands) per month during 2009.

a. Using the seasonal indexes, deseasonalize the data for 2009.

b. The president of the firm is quite pleased that the number of calls went up each month during the May through December portion of 2009. Based on the results obtained in part (a), is the firm’s performance really on the increase?

a. Using the seasonal indexes, deseasonalize the data for 2009.

b. The president of the firm is quite pleased that the number of calls went up each month during the May through December portion of 2009. Based on the results obtained in part (a), is the firm’s performance really on the increase?

## Answer to relevant Questions

The linear trend equation ŷ = 120 + 4.8x has been developed, where ŷ = estimated sales (thousands of dollars) and x = 1 for the year 1999. What level of sales would be forecast for 2013; for 2015? For the data of Exercise 18.7, use the weighting constant α = 0.5 and exponential smoothing to determine the forecast for 2008. In exercise Using the MAD criterion, determine which one of the equations developed in Exercise 18.7 is the better fit to the data in that exercise. Repeat the evaluation, using the MSE criterion. In exercise For the shipment data listed in Exercise 18.45, construct a first-order autoregressive forecasting equation and make a forecast for period 19. In exercise Fit a linear trend equation to the following data describing the number of active U.S. Army personnel from 2001 through 2007. What is the trend estimate for 2015?Post your question

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