Linear regression with a categorical explanatory variable Great job calculating those grouped means! As mentioned in the last video, the means of each category will also be the coefficients of a linear regression model with one categorical variable. You'll prove that in this exercise. To run a linear regression model with categorical explanatory variables, you can use the same code as with numeric explanatory variables. The coefficients returned by the model are different, however. Here you'll run a linear regression on the Taiwan real estate dataset. taiwan_real_estate is available and the ols() function is also loaded. Instructions 1/2 50 XP 1 2 Run and fit a linear regression with price_twd_msq as the response variable, house_age_years as the explanatory variable, and taiwan_real_estate as the dataset. Assign to mdl_price_vs_age. Print its parameters