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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

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

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