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February 19, 2016 18 mins

This episode is a discussion of multiple regression: the use of observations that are a vector of values to predict a response variable. For this episode, we consider how features of a home such as the number of bedrooms, number of bathrooms, and square footage can predict the sale price.

Unlike a typical episode of Data Skeptic, these show notes are not just supporting material, but are actually featured in the episode.

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