3. 1.3 Question 3 We are interested in modelling the fuel efficiency of automobiles. We use miles per gallon to measure fuel efficiency. The dependent variable is gas consumption, miles/gallon (mpg). There are three characteristics of the car that are expected to have an impact on the fuel efficiency: weight of the car in 1000 1b (weight); engine displacement for the car in cubic inches (displacement); and acceleration from 1 to 100 km in seconds (acceleration). Considering the following multiple linear regression model mpg = Bo + Biweight + Bydisplacement + Byacceleration + (2) Here is the output Analysis of Variance Sum of Mean Source Squares Square F Value Pr > F Model 239. 08580 f . <. error corrected total parameter estimates standard variable df estimate t value pr> It| Intercept 41.47394 3. 13349 13.24 <. weight . displacement acceleration .34544 write down the fitted linear regression model. give an interpretation of each b fill in missing numbers a-f anova table>