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FinalProject[1]

# FinalProject[1] - IS 281 Fall 2011 Final Project How well...

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IS 281 Fall 2011 Final Project How well do floor space area (FloorSpace), the number of competing ads (Competing Ads), and price (Price) predict the number of mountain bikes sold (UnitsSold)? The Bike Sales worksheet includes data for a random sample of 30 stores. Click here to download the file. Before studying the relationships among the above variables, your first step consists of examining each variable by itself. First, you will describe each variable visually. Prepare a frequency distribution and a histogram for each variable. You should have at least 10 bins for each variable. Move each histogram to a new worksheet. Provide a description of each histogram, specifying the modal class, any skewness, and any outliers. Next, you will describe each variable numerically. Run descriptive statistics for each variable. Create a new worksheet “Descriptives” and insert the results of the descriptive statistics in this new worksheet. Based on the mean and median for each variable, describe the data to indicate the presence or absence of any skewness. Also specify the direction of the skewness where

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FinalProject[1] - IS 281 Fall 2011 Final Project How well...

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