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Multiple linear regression

A particular benefit to A/B design is the grouping variable, allowing it to further assess resulting data.

A company is interested in whether the group of ad design, Old or New, in addition to the amount of time spent searching for items on their website, TimeSearching, impacts the amount of money spent, AmountSpent. Create a linear regression model to assess these variables on the amount of money spent on the website.

The SiteSales dataset has been loaded for you.

This exercise is part of the course

A/B Testing in R

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Exercise instructions

  • Create a linear model called grpmodel including the grouping variable Ad with TimeSearching impacting AmountSpent.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Create a linear model including group
grpmodel <- lm(___ ~ ___ + ___, data = SiteSales)
summary(___)
Edit and Run Code