A group of scientists and engineers aim to create fuel-efficient and fuel-efficient cars. In order to study the problem, they randomly selected a sample of 20 cars and took information from X: weight (hundreds of pounds) and Y: vehicle performance (mill / gal). Once the information was collected and analyzed, using a scatterplot, they determined that a linear model can fit the data. Using R the following information is obtained from the linear regression model. Y = 40.15−0.513X According to the model, what would be the weight of a car with a performance of 14 mill / gal? Select one: a. -39.98 lbs b. 39.98 lb c. 77.82 lb d. -77.82 lb

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