
Sign up to save your podcasts
Or


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.
The site Redfin gratiously allows users to download a CSV of results they are viewing. Unfortunately, they limit this extract to 500 listings, but you can still use it to try the same approach on your own using the download link shown in the figure below.
By Kyle Polich4.4
475475 ratings
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.
The site Redfin gratiously allows users to download a CSV of results they are viewing. Unfortunately, they limit this extract to 500 listings, but you can still use it to try the same approach on your own using the download link shown in the figure below.

32,110 Listeners

30,680 Listeners

288 Listeners

1,096 Listeners

624 Listeners

583 Listeners

299 Listeners

345 Listeners

208 Listeners

201 Listeners

316 Listeners

98 Listeners

577 Listeners

100 Listeners

228 Listeners