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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

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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)
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