Simple linear regression model (mpg cylinders)

1.

2.

Simple linear regression model (mpg ～ cylinders).
Cylinders has statistically significant relationship with mpg.
60.37% of variability of mpg.
3-1.

Multiple linear regression model (mpg ～. –name).
Cylinders, Horsepower, Weight have negative relationship.
Displacement, Acceleration, Year and Origin have positive relationship.
Displacement, Weight, Year and Origin have significant.
81.82% of variability of mpg.
3-2.

4.
Residual vs Fitted shows that mpg has non-linear relationship with other variables.
Normal Q-Q shows there are some outliers.
In residual vs leverage, it indicates unusually large outliers which is larger than 2.
And unusually high leverage point is existed.