Suppose we have a very large data set with variables Sales, Temperature, Windspeed, Humidity, and Budget

We wish to create a model with the following interpretation: When comparing sales on days of the same temperature, an increase in budget by $$1000$ will increase the predicted sales by $\_\_\_\_\_\_\_.$

To create a model that will answer this question, how would we proceed?

Question $4$ options:

Use Y $=$ Sales. Use two or more X$-$variables: include Temperature and Budget, and additionally may additionally include Windspeed and Humidity.

Use Y $=$ Sales. Use X $=$ Budget.

Use Y $=$ Temperature. Use the X$-$variables Sales and Budget.

Use Y $=$ Sales. Use two or more X$-$variables: use Temperature and Budget, and may additionally include windspeed and humidity.

Use Y $=$ Sales. Use exactly two X$-$variables: Temperature and Budget.