The table provided is data of highway gasoline mileage performance and engine displacement for DaimlerChrysler vehicles for model year 2005. Use Minitab to fit a linear regression model using the method of least squares. Include screen shots of Minitab output. Answer the following questions/.

Carline	Engine Replacement	MPG
300C/SRT-8	215	30.8
CARAVAN 2WD	201	32.5
CROSSFIRE ROADSTER	196	35.4
DAKOTA PICKUP 2WD	226	28.1
DAKOTA PICKUP 4WD	226	24.4
DURANGO 2WD	348	24.1
GRAND CHEROKEE 2WD	226	28.5
GRAND CHEROKEE 4WD	348	24.2
LIBERTY/CHEROKEE 2WD	148	32.8
LIBERTY/CHEROKEE 4WD	226	28
NEON/SRT-4/SX 2.0	122	41.3
PACIFICA 2WD	215	30
PACIFICA AWD	215	28.2
PT CRUISER	148	34.1
RAM 1500 PICKUP 2WD	500	18.7
RAM 1500 PICKUP 4WD	348	20.3
SEBRING 4-DR	165	35.1
STRATUS 4-DR	148	37.9
TOWN & COUNTRY 2WD	148	33.8
VIPER CONVERTIBLE	500	25.9
WRANGLER/TJ 4WD	148	26.4

1. According to your Minitab output, isengine displacement a statistically significant predictor ofhighway miles per gallon using a = 0.05? How do you know?
2. Use the regression plots to comment on the validity of linear regression as an analysis approach for this data.
3. What is the R²_adj value for this model? What does it tell you about your confidence in the usefulness of this model to highway miles per gallon based on engine displacement?
4. Find an estimate of the mean highway gasoline mileage performance for a car with 150 cubic inches engine displacement.