Consider the following time series. Quarter Year 1 Year 3 70 67 61 2 48 40 50 58 60 53 4 79 82 73 (a) Construct a time series plot. 90 80 70 90 80 70 50 40 30 50 40 40 40 30 20 20 10 10 10 10 1 2 34 1 2 34 1 2 3 4 1 234 1 2 3 4 1 234 1 234 1 2 3 4 1 234 1 2341 234123 4 Year 1 Year 2 Year 3 Year 1 Year 2 Year 3 Year 1 Year 2 Year 3 Year 1 Year 2 Year 3 Year/Quarter Year/Quarter Year/Quarter Year/Quarter What type of pattern exists in the data? O The time series plot shows a horizontal pattern, but there is also a seasonal pattern in the data. O The time series plot shows a trend pattern with no seasonal pattern present. O The time series plot shows a horizontal pattern with no seasonal pattern present. O The time series plot shows a trend pattern, but there is also a seasonal pattern in the data. (b) Use the following dummy variables to develop an estimated regression equation to account for seasonal effects in the data: X= 1 if quarter 1, 0 otherwise; x =1 if quarter 2, O otherwise; x,= 1 if quarter 3, 0 otherwise. (c) Compute the quarterly forecasts for next year. quarter 1 forecast quarter 2 forecast quarter 3 forecast quarter 4 forecast

Consider the following time series. Quarter Year 1 Year 3 70 67 61 2 48 40 50 58 60 53 4 79 82 73 (a) Construct a time series plot. 90 80 70 90 80 70 50 40 30 50 40 40 40 30 20 20 10 10 10 10 1 2 34 1 2 34 1 2 3 4 1 234 1 2 3 4 1 234 1 234 1 2 3 4 1 234 1 2341 234123 4 Year 1 Year 2 Year 3 Year 1 Year 2 Year 3 Year 1 Year 2 Year 3 Year 1 Year 2 Year 3 Year/Quarter Year/Quarter Year/Quarter Year/Quarter What type of pattern exists in the data? O The time series plot shows a horizontal pattern, but there is also a seasonal pattern in the data. O The time series plot shows a trend pattern with no seasonal pattern present. O The time series plot shows a horizontal pattern with no seasonal pattern present. O The time series plot shows a trend pattern, but there is also a seasonal pattern in the data. (b) Use the following dummy variables to develop an estimated regression equation to account for seasonal effects in the data: X= 1 if quarter 1, 0 otherwise; x =1 if quarter 2, O otherwise; x,= 1 if quarter 3, 0 otherwise. (c) Compute the quarterly forecasts for next year. quarter 1 forecast quarter 2 forecast quarter 3 forecast quarter 4 forecast

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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