Intercept (Mention what 0.63035057 is my intercept. I combined recent and old remodeling dummy variable option has into its own variable and excluded the dummy variable of None from been excluded - which is the model. captured by your intercept) Final Cut Predictive Model RMSE Adjusted R-Squared 47.63571541 0.76171946 Earlier Model* RMSE Adjusted R-Squared RMSE 40.9050699 0.824842972 Compare the RMSE and With the final cut prediction model, the adjusted R-Squared is Adjusted R-Squared of the lower than the earlier model, but the RMSE is higher than the Final Cut Predictive Model earlier model. With the final cut predictive model, I wanted to and the Earlier Model you exclude the categories, which I felt did not help with predicting chose. The point of the the home value, which allowed for better predictions in adding comparison is to make explicit addition rooms to the property's value. the trade-off, IF ANY, between Predictive power and Explanatory power * The earlier model could be any one of the many models that you built in the process of arriving at the Final Cut Predictive Model. List your Final Cut variables and their coefficients below