5 Sales data for two years are as follows. Data are aggregated with two months of sales in each "period."

a. Plot the data.

b. Fit a simple linear regression model to the sales data.

c. In addition to the regression model, determine multiplicative seasonal index factors. A full cycle is assumed to be a full year.

d. Using the results from parts b and

c, prepare a forecast for the next year.

Transcribed Image Text:

MONTHS SALES MONTHS SALES January-February 109 January-February 115 March-April 104 March-April 112 May-June 150 May-June 159 July-August 170 July-August 182 September-October 120 September-October 126 November-December 100 November-December 106