1. Impact of Vehicle Age: Right-click the Linear Regression Learner (Complex)
node and select “View: Coefficients and Statistics.” Look at the coefficient for year.
• Is it positive? (Does a higher year, meaning a newer car, result in a higher price?)
It equals 757.74.
(Does a higher year, meaning a newer car, result in a higher price?) -> YES
2. Depreciation Analysis: Look at the coefficient for odometer.
• It should be a small negative number.
• Business interpretation: For every 1 mile driven, how much value does the car lose
(in cents)?
-0.106 cents
3. Model Improvement (R2 Comparison): Compare the R2 from Part 4 (Odometer
Only) vs Part 5 (Full Model).
• Did adding the Year and Condition significantly improve the model’s accuracy com-
pared to using Mileage alone?
-0.056 cents
Did adding the Year and Condition significantly improve the model’s accuracy com-
pared to using Mileage alone? -> YES
