Regression Report
Situation: (data are taken from p11_16)
Different trucks have different maintenance costs. I want to find out how well independent variables predict the costs of repairs for the trucks.
Variables:
The two readily available, and seemingly relevant variables are age of the trucks and miles driven.
Influence diagram:
Implementation and use:
The above graphs and equations show that there is a higher correlation between maintenance costs and miles driven, then maintenance costs and the age of the trucks. In fact almost 93 % of the maintenance costs can be explained by the mileage.
From the information I have gained, I am able to forcast the maintenance costs of trucks, by knowing the mileage it has been driven using the following equasion:
maintanance costs = 0.0785 mileage + 8.7698.
This way, I will be able to make better decisions about which truck to buy, and know what my expenses will be.