The quarterly sales data (number of copies sold) for a college textbook over the past three years follow. Quarter Year 1 Year 2 Year 3 1 1,690 1,810 1,850 2 950 910 1,110 3 2,635 2,910 2,930 4 2,510 2,360 2,625 (a) Use a regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. (Round your numerical values to the nearest integer.) Qrt1 = 1 if quarter 1, 0 otherwise; Qrt2 = 1 if quarter 2, 0 otherwise; Qrt3 = 1 if quarter 3, 0 otherwise t =
The quarterly sales data (number of copies sold) for a college textbook over the past three years follow. Quarter Year 1 Year 2 Year 3 1 1,690 1,810 1,850 2 950 910 1,110 3 2,635 2,910 2,930 4 2,510 2,360 2,625 (a) Use a regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. (Round your numerical values to the nearest integer.) Qrt1 = 1 if quarter 1, 0 otherwise; Qrt2 = 1 if quarter 2, 0 otherwise; Qrt3 = 1 if quarter 3, 0 otherwise t =
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Problem 1P
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The quarterly sales data (number of copies sold) for a college textbook over the past three years follow.
Quarter | Year 1 | Year 2 | Year 3 |
---|---|---|---|
1 | 1,690 | 1,810 | 1,850 |
2 | 950 | 910 | 1,110 |
3 | 2,635 | 2,910 | 2,930 |
4 | 2,510 | 2,360 | 2,625 |
(a) Use a regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. (Round your numerical values to the nearest integer.)
Qrt1 = 1 if quarter 1, 0 otherwise; Qrt2 = 1 if quarter 2, 0 otherwise; Qrt3 = 1 if quarter 3, 0 otherwise
t =
(b)Using the equation developed in part (b), compute the quarterly forecasts for year 4. (Round your answers to the nearest ten.)
quarter 1 forecast:
quarter 2 forecast:
quarter 3 forecast:
quarter 4 forecast:
(c) Let t = 1 refer to the observation in Quarter 1 of Year 1; let t = 2 refer to the observation in Quarter 2 of Year 1;
and t = 12 to refer to the observation in Quarter 4 of Year 3. Using the dummy variables defined in part (b) and also using t, develop an equation to account for seasonal effects and any linear trend in the time series. (Round your numerical values to the nearest integer.)
t =
Based upon the seasonal effects in the data and linear trend, compute the quarterly forecasts for year 4. (Round your answers to the nearest ten.)
quarter 1 forecast:
quarter 2 forecast:
quarter 3 forecast:
quarter 4 forecast:
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