Author: Anonymous

An analyst used data from a pandas DataFrame to fit a multiple linear regression model that predicts annual_spend using both visits_per_month and is_premium_member. The variable is_premium_member takes on the value of 1 if the customer is a premium member and a value of 0 if the customer is not a premium member. The fitted model is given by the equation: Model predicting annual_spend: annual_spend = 120 + 15*(visits_per_month) + 40*(is_premium_member)  Interpret the coefficient for is_premium_member (the one with a value of 40).

Which actions generally improve the credibility of a regression model for business decision-making? Select all that apply.

Fill in the best CRISP-DM phase for each activity.   Defining the business success metric (e.g., reduce churn by 2 points) belongs to: [Dropdown1] Fixing missing values and parsing dates belongs to: [Dropdown2] Selecting features and training a regression model belongs to: [Dropdown3] Interpreting RMSE and whether it meets the business threshold belongs to: [Dropdown4]

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