This analysis uses linear regression to examine how selected predictor variables affect miles per gallon (MPG) in the mtcars dataset. After fitting a multiple regression model, I evaluated the statistical significance of the predictors, interpreted the coefficients substantively, and assessed the validity of the model using standard diagnostic plots. These steps ensure that the regression results are both meaningful and statistically reliable.