Consider the following time series data. Quarter Year 1 Year 2 Year 3 1 4 6 7 2 2 3 6 3 3 5 6 4 5 7 8 Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. Qtr1 = 1 if Quarter 1, 0 otherwise; Qtr2 = 1 if Quarter 2, 0 otherwise; Qtr3 = 1 if Quarter 3, 0 otherwise. If required, round your answers to three decimal places. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example: -300) Value = + Qtr1 + Qtr2 + Qtr3 + t Compute the quarterly forecasts for next year. If required, round your answers to two decimal places. Quarter 1 forecast = Quarter 2 forecast = Quarter 3 forecast = Quarter 4 forecast =

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Q: Consider the following time series data. Please refer to picture. Use a multiple regression model…

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Q: American Adults (N = 1,946)   Model 1

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A: Hi! Thank you for the question, As per the honor code, we are allowed to answer three sub-parts at a…