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##### GB513- Business Analytics (Kaplan Univ)

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Question;GB513-Unit 5 Business Analytics (Kaplan Univ);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 Error1 202 ? ?2 191 2023 173 1924 169 1815 171 1746 175 1727 182 1748 196 1799 204 18910 219 19811 227 211Question 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?Year Factory Orders ($ billion)1 2,512.72 2,739.23 2,874.94 2,934.15 2,865.76 2,978.57 3,092.48 3,356.89 3,607.610 3,749.311 3,952.012 3,949.013 4,137.0Question 3: The ?Economic Report to the President of the United States? included data on the amounts of manufacturers? new and un filled orders in millions of dollars. Shown here are the figures for neworders over a 21-year period. Use Excel to develop a regression model to fit the trend effects forthese data. Use a linear model and then try a quadratic model. How well does either model fit thedata?Year Total Number of New Orders1 55,0222 55,9213 64,1 824 76,0035 87,3276 85,1397 99,5138 115,1099 131,62910 147,60411 156,35912 168,02513 162,14014 175,45115 192,87916 195,70617 195,20418 209,38919 227,02520 240,75821 243,643Provide error for each forecast by computing MeanAbsolute Deviation (MAD) for Q1 5Provide error for each forecast by computing MeanSquare Error (MSE) for Q1 5Used data in Q2 (a) to develop forecasts for the years 6 through 13 using a 5-year moving average 3 Used data in Q2 (b) to develop forecasts for the years 6 through 13 using a 5-year weighted moving average 3 In the summary tables below, insert only the answers. You will show work after the summary section.Unit 5 Assignment Answers by (Insert your name here)Question 1: MAD MSE Question 2:MAD for part a MAD for part b Recommended forecast method:Question 3 R-squared for Linear model R-squared for quadratic model Regression formula for linear model Regression formula for quadratic model WorkShow all your work for the questions below.Question 1 Show the errors you calculatedQuestion 2 Show the two forecasts and the errorsQuestion 3 Show the regression output tables

Paper#61157 | Written in 18-Jul-2015

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