Sales of Volkswagens have grown steadily at auto dealerships in Nevada during the past 5 years (see table below).YearSales14502495TIT352045755580sales (round your response to one decimal place).a) Forecasted sales for year 6 using the trend projection (linear regression) method are

Linear regression is a statistical method used for modeling the relationship between a dependent…

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Understanding Business

12th Edition

ISBN:9781259929434

Author:William Nickels

Publisher:William Nickels

Chapter1: Taking Risks And Making Profits Within The Dynamic Business Environment

Section: Chapter Questions

Problem 1CE

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The number of internal disk drives (in millions) made at a plant in Taiwan during the past 5 years follows: F Year 4 Disk Drives 142 164 196 204 216 B a) Using simple linear regression, the forecast for the number of disk drives to be made next year-isk drives (round your response to one decimal place)
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Sales of Volkswagen's popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years (see table below) Year Sales 1 455 2 495 516 4 563 584 a) Forecasted sales for year 6 using a 3-year moving average is sales (round your response to one decimal place). b) The MAD for a 3-year moving average based forecast is sales (round your response to one decimal place). c) The MSE for a 3-year moving average based forecast is sales (round your response to the nearest whole number).
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Given the following data, use least-squares regression to derive a trend equation: Period Demand where y Demand and x = Period. 1 10 2 12 3 5 4 13 5 12 6 11 D The least-squares regression equation that shows the best relationship between demand and period is (round your responses to two decimal places):
Please show work in excel Sales for the past 12 months at Schumacher & Company’s U.S. Retail Division are given below. a) Use a three-month moving average to forecast sales for the months April through December. b) Use the exponential smoothing method to forecast sales for the months of February through December. Use alpha = 0.6, and assume that the forecast for January was 47. c) Compare the performance of these two methods for the months of April through December using the mean squared error (MSE) as the performance criterion. Which method would you recommend? MONTH SALES Jan 52 Feb 60 Mar 54 Apr 36 May 40 Jun 47 Jul 25 Aug 27 Sep 25 Oct 36 Nov 32 Dec 28
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Quarter. 2018 2019 2020 1 66 73 85 2 106 119 130 3 140 165 205 Using the same data in table 4 82 91 100 a) Use the technique of least squares method, find the trend line b) Find the trend values c) Forecast the sales for 2021 second quarter. d) Plot the time series data and trend line.
Sales of Volkswagens have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). Q Year 1 2 3 4 5 a) Forecasted sales for year 6 using the trend projection (linear regression) method are Sales 455 510 518 575 590 sales (round your response to one decimal place).
The current values of sales of a product in a company are as follows: November - 22, December - 35, January - 28, February - 20, March - 33, April - 20. What is the forecast for May using a mean mobile three months? Select one: a. twenty b. 25.25 c. 24.33 d. 26.33
(Use excel to show formulas used) Use regression or simple exponential smoothing with the following data. For exponential smoothing, assume the forecast for year 1 was the same as the actual and use an alpha of 0.7. Year Sales 1 290 2 340 3 400 4 410 5 400 Forecast Year 6 sales. Compute MAD.

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Sales of Volkswagens have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). Year Sales 1 450 2 495 3 a) Forecasted sales for year 6 using the trend projection (linear regression) method are 520 575 580 sales (round your response to one decimal place). 4 5