A federal government agency that is responsible for setting vehicle fuel economy standards for automobile manufacturers is conducting research in order to update its fuel economy standards for the year 2030. Automobile manufacturers, and consumers, are highly interested in what the agency's findings and determinations will be as this will affect every vehicle in the United States. The federal government agency is very interested in the relationship between the weight of a vehicle and the vehicle's fuel economy (average miles per gallon (MPG)). Specifically, the agency is concerned that if the current trend of automobile manufacturers producing heavier new vehicles continues that its fuel economy targets will not be met. The agency's research department recently collected data for analysis in order to support the agency's upcoming discussion with industry regarding its proposed 2030 fuel economy standards. The average MPG from a random sample of 750 vehicles was recently calculated by the agency. The research division also collected the vehicle weight of these 750 randomly sampled vehicles. The Vehicle Number, Type, Vehicle Weight, Average MPG, Fuel Tank Size (Gallons), Engine Size (Liters), and Meet or Not Meet Current Standards data were collected for these 750 vehicles.

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Part 1

Agency leadership wants to create a simple linear regression model to predict a vehicle's average fuel economy based upon the weight of the vehicle. simple linear regression model using vehicle weight to predict a vehicle's average fuel economy.

Using your simple linear regression model, for each one pound increase in vehicle weight, how much would one predict the vehicle's average fuel economy to decrease?

enter your response here

MPG

(Round to three decimal places as needed.)

Part 2

Using your simple linear regression model, what is the predicted Average MPG of a vehicle when the Vehicle Weight is

2700

pounds (round the slope to 3 decimal places and y-intercept to 2 decimal places)?

enter your response here

MPG

(Round to two decimal places as needed.)

Part 3

Based upon your simple linear regression, should the agency's leadership be concerned that if new vehicles continue to be produced with heavier weights that its goal of better fuel economy will be jeopardized?