Question: Question 3 Demand Estimation and Forecasting ( 3 0 marks ) The file Comm 1 7 2 Assignment 1 Data 2 0 2 4 .

Question 3 Demand Estimation and Forecasting (30 marks)
The file Comm172 Assignment1 Data 2024.xlsx contains store sales data for Heineken beer. The data for this question are in the Question 3 sheet. The variable Qc is the total unit sales of Heineken beer (six-packs, in cans, 72oz) across many U.S. stores. The data cover 52 weeks from January 1,2001 to December 24,2001. You must forecast future sales. Please include with your assignment the printout of your excel file showing your answers to these questions:
a)(10 points) Plot the sales data (Qc) over time and fit a linear trend line to these data. On the same chart, extend your trend line for 52 weeks ahead and display the regression equation for the trend line.
b)(8 points) Using the estimated regression coefficients, forecast your sales for 52 weeks ahead. Report your results (for each week from 53 to 104) in a new column titled Trend forecast.
c)(12 points) The forecasting error could be large because the forecast above is not adjusted for seasonal fluctuations (notice that sales are high in summer). Adjust for seasonal fluctuations using the ratio-to-trend method.
To do that, proceed as follows:
i) Using the estimated regression coefficients, predict sales (Qc) for all past weeks in the data (from 1 to 52).
ii) Compute the ratio of actual to predicted sales for all past weeks.
iii) Compute average ratio by quarters (the first 13 weeks comprise the first quarter). This is the ratio-to-trend adjustment. Report these results in a new table, with one data entry for each quarter (i.e, four data entries in total).
iv) Multiply the forecasted values for 52weeks ahead (from the column Trend forecast) by a corresponding quarterly ratio to obtain the adjusted forecast. Report your results in a new column titled Adjusted forecast, next to the column Trend forecast.
v) Display the adjusted forecast on the chart with sales data over time

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