Question: The sales data for two years are as follows. Data are aggregated with two months of sales in each period MONTHS January February March-April May-June

The sales data for two years are as follows. Data are aggregated with two months of sales in each period MONTHS January February March-April May-June July-August September October November-December SALES 209 100 154 172 115 92 MONTHS January February March-April Hay-June July-August September-October November December SALES 102 1044 163 186 116 109 b. Fit a simple linear regression model to the sales data (Do not round Intermediate calculations. Round your final answers to 2 decimal places.) c. In addition to the regression model determine multiplicative seasonal index A full cycle is assumed to be a full year (Do not round intermediate calculations. Round your and final answers to 2 decimal places.) Seasonal Index Months January February March-April May June July August September October November December d. Prepare sales forecasts for next year using both of your regression models derived above to show results both with and without adjustments for seasonality. (Do not round intermediate calculations. Round your final answers to 1 decimal places) Forecast January Feb March April May June July August September--Odbor November December

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