Business at Terry's Tie Shop can be viewed as falling into three distinct seasons: (1) Christmas (November-December) (2) Father's Day (ate May-mid-June); and (3) all other times Average weekly sales (in 5x) during each of these three seasons during the past four years has been as follows Season Year 1 Year 2 Year 3 Year 4 1 2241 2280 2408 1856 2012 1850 1716 1072 1105 Estimate beta coefficients and the intercept of the following forecasting model with seasonality Sales 100 b151-6252 where 51 and 52 represent dummy variables for season 1 and season 2, respectively How much of the variation in the sales is explained by the model above? 00.45 2 3 06.000 Oc056 04.0.75
Business at Terry's Tie Shop can be viewed as falling into three distinct seasons: (1) Christmas (November-December) (2) Father's Day (ate May-mid-June); and (3) all other times Average weekly sales (in 5x) during each of these three seasons during the past four years has been as follows Season Year 1 Year 2 Year 3 Year 4 1 2241 2280 2408 1856 2012 1850 1716 1072 1105 Estimate beta coefficients and the intercept of the following forecasting model with seasonality Sales 100 b151-6252 where 51 and 52 represent dummy variables for season 1 and season 2, respectively How much of the variation in the sales is explained by the model above? 00.45 2 3 06.000 Oc056 04.0.75
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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