Parallel slopes model
Let's now fit a "parallel slopes" model with the numerical explanatory/predictor variable log10_size
and the categorical, in this case binary, variable waterfront
. The visualization corresponding to this model is below:
This exercise is part of the course
Modeling with Data in the Tidyverse
Exercise instructions
Fit a multiple regression of log10_price
using log10_size
and waterfront
as the predictors. Recall that the data frame that contains these variables is house_prices
.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Fit model
model_price_4 <- lm(___,
data = ___)
# Get regression table
get_regression_table(model_price_4)