- O Consider The Following Time Series Data Quarter 1 2 3 4 1 Iii 12 14 19 17 Year 1 5 Car 1 A Choose The 1 (35.43 KiB) Viewed 29 times
- O Consider The Following Time Series Data Quarter 1 2 3 4 1 Iii 12 14 19 17 Year 1 5 Car 1 A Choose The 2 (34.39 KiB) Viewed 29 times
- O Consider The Following Time Series Data Quarter 1 2 3 4 1 Iii 12 14 19 17 Year 1 5 Car 1 A Choose The 3 (37.06 KiB) Viewed 29 times
- O Consider The Following Time Series Data Quarter 1 2 3 4 1 Iii 12 14 19 17 Year 1 5 Car 1 A Choose The 4 (36.94 KiB) Viewed 29 times
(1) LE ** ** . 18 ** 34 A A w -Select your answer- What type of pattem exists in the data? -Select your answer Yed (b) Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data: Qr1-1 if Quarter 1, O otherwise; Qtr2-1 if Quarter 2, 0 otherwise, Qtra-1 if Quartier 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 Quri+ Q42- Qtrs x A-Z 20
CENGAGE MINDTAP Quiz 5 (b) Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data: Qer1 - 1 if Quarter 1, O otherwise; Qer2-1 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. Qeri+ Qtr2+ Qura 9- (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. F Year 4 4 Quarter 1 2 3 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 pert (b) to capture seasonal effects and create a variable t such that t 1 for Quarter in Year 1, 1-2 for Quarter 2 in Year 1-12 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). P- Qtrl+ 13 14 Q Search this course X (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 4 1 2 Qtr2+ P Qura+ A- 0= Ć
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 blan (Example: -300). 4 (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 Period 4 MSE Quarter 1 2 O con Key 3 13 14 15 Qtrl + 16 Qtr2+ Ft Qtr3+ () 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) 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.