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 Plot (iii) Time Period What type of pattern exists in the data? Upward Trend Pattern b. 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+ c. 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 = 0000