Unit 5 [GB513: Business Analytics] Assignment

Unit 5 [GB513: Business Analytics] Assignment This assignment requires you to use Excel. Make sure to use the Assignment 5 template found in your online course when you turn in your answers. Question 1 Determine the error for each of the following forecasts. Compute MAD and MSE. Period Value Forecast Error 1 202 — — 2 191 202 3 173 192 4 169 181 5 171 174 6 175 172 7 182 174 8 196 179 9 204 189 10 219 198 11 227 211 Question 2 The U.S. Census Bureau publishes data on factory orders for all manufacturing, durable goods, and nondurable goods industries. Shown here are factory orders in the United States over a 13-year period ($ billion). a. Use these data to develop forecasts for the years 6 through 13 using a 5-year moving average. b. Use these data to develop forecasts for the years 6 through 13 using a 5-year weighted moving average. Weight the most recent year by 6, the previous year by 4, the year before that by 2, and the other years by 1. c. Compute the errors of the forecasts in parts (a) and (b) and then the MAD. Which forecast is better? Unit 5 [GB513: Business Analytics] Year Factory Orders ($ billion) 1 2,512.7 2 2,739.2 3 2,874.9 4 2,934.1 5 2,865.7 6 2,978.5 7 3,092.4 8 3,356.8 9 3,607.6 10 3,749.3 11 3,952.0 12 3,949.0 13 4,137.0 Question 3 The “Economic Report to the President of the United States” included data on the amounts of manufacturers’ new and unfilled orders in millions of dollars. Shown here are the figures for new orders over a 21-year period. Use Excel to develop a regression model to fit the trend effects for these data. Use a linear model and then try a quadratic model. How well does either model fit the data? Year Total Number of New Orders 1 55,022 2 55,921 3 64,1 82 4 76,003 5 87,327 6 85,139 7 99,513 Unit 5 [GB513: Business Analytics] 8 115,109 9 131,629 10 147,604 11 156,359 12 168,025 13 162,140 14 175,451 15 192,879 16 195,706 17 195,204 18 209,389 19 227,025 20 240,758 21 243,643 Unit 5 [GB513: Business Analytics] Assignment