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Consider the following time series data. Quarter Year 1 Year 2 Year 3 1 2 5 7 2 0 2. 6 3 5 8 10
Consider the following time series data. Quarter Year 1 Year 2 Year 3 1 2 5 7 2 0 2. 6 3 5 8 10 4 5 8 10 (a) Choose the correct time series plot. (0) 12 11 10 . . Time Series Values Yeart Ver Vert Yap Yr O1 O2 & Ort 1 OGO Tine Period (11) 12 16 . 7 6 Time Series Van 1 0 ht Pert Learl Yew, Year O O O O O O O O O OOO Year: War Yew Time Period (iii) 12 11 9 . k6 (ii) . Read - OG (IV) 13 (6 Select your answer - What type of pattern exists in the data? - Select your answer - Positive trend pattern, no seasonality Horizontal pattern, no seasonality Negative trend pattern, no seasonality lables as follows to develop an equation to account for seasonal Positive trend pattern, with seasonality therwise Horizontal pattern, with seasonality places. For subtractive or negative numbers use a minus sign ev constant is "1" it must be entered in the box. Do not round intermediate calculation 9 Qeri + Qtr2+ Qtr3 (c) Compute the quarterly forecasts for next year based on the model you developed in part (b). MacBook Air 80 F1 F2 ang OOO F4 38 F6 Q Search the (b) Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data: Qori = 1 Quarter 1, 0 otherwise Q2 = 11 Quarter 2,0 otherwise; Qtr3 - 1 f 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 + Qur2+ Qur3 (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 Year Quarter Ft 4 1 4 2 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 variablet such that 1 for Quarter 1 In Year 1, 12 for Quarter 2 in Year 1..t-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). 9 Qtri + Qt2 + Q0r3+ (0) 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 F 1 13 2 14 4 3 15 4 16 MacBook Air (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 Ft 4 1 13 4 2 14 4 3 15 4 4 16 (1) Calculate the MSE for the regression models developed in parts (6) 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 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 - . Olcon Ry MacBook Air
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