Consider the dataset "Fuel Efficiency and Speed (non-linear)" in the DCMP Linear Regression tool. Define the x-variable to be "Steady Driving Speed" and the y-variable to be "Fuel Efficiency," and then use the software to generate a scatterplot and the equation for the line of best fit. Which of the following is the best answer for the interpretation of the slope of the line of best fit? Choose the best answer. Consider the dataset "Fuel Efficiency and Speed (non-linear)" in the DCMP Linear Regression tool. Define the x-variable to be "Steady Driving Speed" and the y-variable to be "Fuel Efficiency," and then use the software to generate a scatterplot and the equation for the line of best fit. Which of the following is the best answer for the interpretation of the slope of the line of best fit? Choose the best answer. For every one mile per hour (mph) increase in the steady driving speed of the car, we know that the miles per gallon (mpg) fuel efficiency increases by 0.0348 mpg. For every one mph increase in the steady driving speed of the car, we predict that the average mpg fuel efficiency increases by 0.0348 mpg. For every one