Problem 4 The quarterly sales data of one company over the past three years follow. Year 2019 Qeri Qtr2 Qtra Qtr4 2020 Qtri Qtr2 Qtr3 Qtr4 2021 Qtri Qtr2 Qtr3 Qtr4 Sum of Sales Amount 113788.668 30739.191 30274.866 26493.477 26281.134 118597.092 32277.195 31854.921 27643.779 26821.197 127046.229 33749.148 33255.927 29940.456 30100.698 Hình 1: Data Table for Exercise 4 a. Construct a time series plot. What type of pattern erists in the data? b. Use a regression model with dummy variables to develop an equation to account for seasonal effects (only) in the data. c. Compute the quarterly forecasts for next year. d. Take into account for both the seasonal effects in the data and linear trend, compute the quarterly forecasts for next year.
Problem 4 The quarterly sales data of one company over the past three years follow. Year 2019 Qeri Qtr2 Qtra Qtr4 2020 Qtri Qtr2 Qtr3 Qtr4 2021 Qtri Qtr2 Qtr3 Qtr4 Sum of Sales Amount 113788.668 30739.191 30274.866 26493.477 26281.134 118597.092 32277.195 31854.921 27643.779 26821.197 127046.229 33749.148 33255.927 29940.456 30100.698 Hình 1: Data Table for Exercise 4 a. Construct a time series plot. What type of pattern erists in the data? b. Use a regression model with dummy variables to develop an equation to account for seasonal effects (only) in the data. c. Compute the quarterly forecasts for next year. d. Take into account for both the seasonal effects in the data and linear trend, compute the quarterly forecasts for next year.
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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