Exploring estimated model parameters

In the previous exercise, you trained a linear regression model to predict selling_price using home_age and sqft_living as predictor variables.

Pass your trained model object into the appropriate function to explore the estimated model parameters and select the true statement.

Your trained model, lm_fit, has been loaded into your session.

50 XP

The standard error, std.error, for the sqft_living predictor variable is 175.
The estimated parameter for the home_age predictor variable is 305.
The estimated parameter for the sqft_living predictor variable is 105.
The estimated intercept is 127825.