R squared plot

In the previous exercise, you got an R squared value of 0.651. The R squared metric ranges from 0 to 1, 0 being the worst and 1 the best.

Calculating the R squared value is only the first step in studying your model's predictions.

Making an R squared plot is extremely important because it will uncover potential problems with your model, such as non-linear patterns or regions where your model is either over or under-predicting the outcome variable.

In this exercise, you will create an R squared plot of your model's performance.

The home_test_results tibble has been loaded into your session.

Create an R squared plot of your model's performance. The x-axis should have the actual selling price and the y-axis should have the predicted values.
Use the appropriate functions to add the line y = x to your plot and standardize the range of both axes.

Exercise

R squared plot

Instructions