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stats case 14.2

# stats case 14.2 - Achem Pichay Travis Giguere Matlock...

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Achem Pichay Travis Giguere Matlock Arnold Mgt 3440-1

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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 Coffee. Her new position means that she was given the added responsibility of discovering what

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