- Consider The Following Time Series Data N Quarter 1 7 2 3 4 Year 1 4 2 3 5 Year 2 6 3 5 7 Year 3 7 6 68 Iv Plot I 1 (15.94 KiB) Viewed 30 times
- Consider The Following Time Series Data N Quarter 1 7 2 3 4 Year 1 4 2 3 5 Year 2 6 3 5 7 Year 3 7 6 68 Iv Plot I 2 (18.03 KiB) Viewed 30 times
- Consider The Following Time Series Data N Quarter 1 7 2 3 4 Year 1 4 2 3 5 Year 2 6 3 5 7 Year 3 7 6 68 Iv Plot I 3 (34.2 KiB) Viewed 30 times
- Consider The Following Time Series Data N Quarter 1 7 2 3 4 Year 1 4 2 3 5 Year 2 6 3 5 7 Year 3 7 6 68 Iv Plot I 4 (20.55 KiB) Viewed 30 times
(iv) Plot (iv) What type of patter exists in the data? -Select your answer. G Ted kkk (b) Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data: Qtr11 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). If the constant is "1" it must be entered in the box. Do not round intermediate calculation. 9 Qtri + Qer2+ Qera
(b) Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data: Qtr11 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). If the constant is "1" it must be entered in the box. Do not round intermediate calculation. 9- Qtrl + Qtr2+ (c) Compute the quarterly forecasts for next year based on the model you developed in part (b). If required, round your answers to three decimal places. Do not round intermediate calculation. Ft Year 4 4 4 4 4 4 Quarter 4 4 (d) Use a multiple regression model to develop an equation to account for trend and seasonal effects in the data. Use the dummy variables you developed in part (b) to capture seasonal effects and create a variable t such that t= 1 for Quarter 1 in Year 1, t-2 for Quarter 2 in Year 1, r= 12 for Quarter 4 in Year 3. 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). 9m Qtrl + Qtr2+ Qtr3+ 1 (e) Compute the quarterly forecasts for next year based on the model you developed in part (d). Do not round your interim computations and round your final answer to three decimal places. Year Quarter Period 1 2 2 3 3 4 4 13 14 Qtr3 15 16 Fi
(f) Calculate the MSE for the regression models developed in parts (b) and (d). If required, round your intermediate calculations and final answer to three decimal places. Model developed in part (b) Model developed in part (d) MSE Is the model you developed in part (b) or the model you developed in part (d) more effective? The model developed in - Select your answer is more effective because it has the - Select your answer MSE.