Stats case 14.2 - Achem Pichay Travis Giguere Matlock Arnold Mgt 3440-1 Case Study 14.2 Sapphire Coffee Executive Summary Jenny Garcia must make a

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Unformatted text preview: Achem Pichay Travis Giguere Matlock Arnold Mgt 3440-1 Case Study 14.2 Sapphire Coffee Executive Summary Jenny Garcia must make a model to see if the following theory is an accurate predictor: Weekly store sales are expected to average $5.00 per square foot. To solve the problem we have run a linear regression analysis with the data gathered from 53 random stores in her region. The output shows a multiple r reading of .81 which means there is a strong correlation between store size and store sales. Furthermore it shows an R square of .656 which means that 65.6% of the variation in weekly store sales is explained by variation in store size. We will reject the null hypothesis because the t stat lies in the rejection region which means that there is a significant correlation that store sales are expected to average $5.00 per square foot. This is in fact a reliable model to project future store sales. Introduction Jenny Garcia was recently placed in charge of the southern region of coffee shops for Sapphire...
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This note was uploaded on 04/08/2008 for the course MATH ? taught by Professor Mugahl during the Spring '08 term at University of Utah.

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Stats case 14.2 - Achem Pichay Travis Giguere Matlock Arnold Mgt 3440-1 Case Study 14.2 Sapphire Coffee Executive Summary Jenny Garcia must make a

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