Prepare a forecast for the next year

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Reference no: EM131944407

Sales data for two years are as follows. Data are aggregated with two months of sales (in 1,000 units) in each "period."

Year 1		Year 2
Period	Sales	Period	Sales
January-February	115	January-February	124
March-April	112	March-April	132
May-June	159	May-June	168
July-August	182	July-August	203
September-October	126	September-October	135
November-December	106	November-December	123

A) Plot the data.

B) Fit a 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.

Reference no: EM131944407

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