Sales of Volkswagen's popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). D Year 1 2 3 4 5 Sales 450 510 516 555 575 a) Forecasted sales for year 6 using the trend projection (linear regression) method are sales (round your response to one decimal place). sales (round your response to one decimal place). b) The MAD for a linear regression forecast is c) The MSE for the linear regression forecast is sales (round your response to one decimal place).

Sales of Volkswagen's popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). D Year 1 2 3 4 5 Sales 450 510 516 555 575 a) Forecasted sales for year 6 using the trend projection (linear regression) method are sales (round your response to one decimal place). sales (round your response to one decimal place). b) The MAD for a linear regression forecast is c) The MSE for the linear regression forecast is sales (round your response to one decimal place).

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter13: Regression And Forecasting Models

Section13.3: Simple Regression Models

Problem 6P: Do the sales prices of houses in a given community vary systematically with their sizes (as measured...

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The file P13_26.xlsx contains the monthly number of airline tickets sold by the CareFree Travel Agency. a. Create a time series chart of the data. Based on what you see, which of the exponential smoothing models do you think will provide the best forecasting model? Why? b. Use simple exponential smoothing to forecast these data, using a smoothing constant of 0.1. c. Repeat part b, but search for the smoothing constant that makes RMSE as small as possible. Does it make much of an improvement over the model in part b?
Do the sales prices of houses in a given community vary systematically with their sizes (as measured in square feet)? Answer this question by estimating a simple regression equation where the sales price of the house is the dependent variable, and the size of the house is the explanatory variable. Use the sample data given in P13_06.xlsx. Interpret your estimated equation, the associated R-square value, and the associated standard error of estimate.
Sales of Volkswagen's popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). Year Sales 1 450 2 502 3 520 4 570 5 575 a) Forecasted sales for year 6 using the trend projection (linear regression) method aresales (round your response to one decimal place). b) The MAD for a linear regression forecast is nothing sales (round your response to one decimal place).
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Choose the type of forecasting technique (survey, Delphi, averaging, seasonal, naive, trend, orassociative) that would be most appropriate for predicting:c. Demand for vacations on the moon.