Goods Project Part 2 Final

# Goods Project Part 2 Final - Bryan Redd Data Set UF8 Ozark...

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Bryan Redd Data Set UF8 Ozark Cycle Sports Sales Forecast and Insight into Managerial Questions

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Section A: Introduction The purpose of this report is to provide an interpretation of the multiple regression model to forecast the number of scooters sold per month as well give my insight concerning some managerial concerns. I am preparing this report for Mr. Corrigan Masters, who is an inventory manager for Ozark Cycle Sports. Table 1: Variable Names and Definitions Name Variable Description (all are monthly values) Sales Number of scooters sold TV Television advertising expenses (\$1,000s) Newspaper Newspaper advertising expenses (\$1,000s) Market Average price of gasoline futures markets (\$ per gallon) Associates Average number of sales associates during operating hours Bonus Average value of bonus bucks (\$ per scooter sold) List Average list price of scooters sold (\$) Promo 1 for month with a sales promotion; 0 if no sales promotion
Section B : Forecasting Model Interpretation 1. Quality When assessing the quality of the forecasting model it is necessary to look at the significance f to check the significance of the entire model. The significance f in this analysis confirms that the entire model is significant as shown in provided summary output. The explanatory power of the model is determined by looking at the r-squared value. For this model the r-squared value is 0.532 therefore 53.2% of the variability of number of scooters sold per month is directly related to the significant independent variables. You can find these values in the given summary output contained in the assignment.

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2. Regression Coefficients
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## This note was uploaded on 08/08/2011 for the course WCOB 2023 taught by Professor Billthompson during the Spring '07 term at Arkansas.

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Goods Project Part 2 Final - Bryan Redd Data Set UF8 Ozark...

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