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 (miles per gallon). 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 = 40.15−0.65X Which of the following statements is correct when interpreting the slope ?: Select one: a. Vehicle performance increases by 0.65 miles per gallon when car weight increases by 100 pounds.
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 (miles per gallon). Once the information was collected and analyzed, using a
Select one:
a. Vehicle performance increases by 0.65 miles per gallon when car weight increases by 100 pounds.
b. Vehicle performance is reduced by 0.65 miles per gallon when car weight increases by 1lb
c. Vehicle performance is reduced by 0.65 miles per gallon when the car's weight increases by 100 pounds.
d. Vehicle performance is reduced by 65 miles per gallon when the car's weight increases by 100 pounds.
The given regression line equation is
Y = 40.15−0.65X
Step by step
Solved in 3 steps
