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You’ve completed a linear regression model using in-store sales data to store visits data. You observe a strong, positive correlation between the independent variable and the dependent variable. The r-squared value (i.e. the coefficient of determination) is close to 1. Standard deviation of the data set is quite low. It is reasonable to conclude that sales increased because of increases in in-store traffic?
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You are triggered in a meeting and start to feel frustrated. Do you: Select all that apply.
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What is the GAP model useful for?
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