I’m working on a r project and need the explanation and answer to help me learn.

Part 1: Predictive analytics – Multiple linear regression
Use a      multiple regression model to determine the sale of a given residential      property in your neighborhood since 2009 (year of transaction). Include:
Year       built
BUILDING_CODE_ID       (or BUILDING_CODE_FINAL_ROLL depending on how you joined tables; categorical       variable)

Gross       square feet

Number       of units
After      building the model, answer the question “What are the most and least      useful predictors of the amount of a sale?”

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