Question: Because the data are categorized by quarter, the forecast may need to account for seasonal impacts. Use the multiple regression model defined below to forecast

Because the data are categorized by quarter, the forecast may need to account for seasonal impacts. Use the multiple regression model defined below to forecast Company XYZ's revenues. (a) Develop an estimated regression equation [F: = bo + biQ2 + bQ3 + b:Q4] using the following dummy variables to only account for seasonal effects in the data: Q2 = 1 if quarter 2, 0 otherwise Q3 = 1 if quarter 3, 0 otherwise Q4 = 1 if quarter 4. 0 otherwise (b) Using a = 0.05, discuss the significance (R-square, F-test and t-tests) of the equation in part (a). (c) Based upon the regression equation, compute each quarter (1, 2nd, 3'd and 4th) of 2021. (d) Analyzing the time series chart previously constructed, does the regression equation appear to be the most appropriate method of forecasting for this data? Explain

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