An engineer wants to determine how the weight of a​ gas-powered car,​ x, affects gas​ mileage, y. The accompanying data represent the weights of various domestic cars and their miles per gallon in the city for the most recent model year. Complete parts​ (a) through​ (d) below. LOADING... Click here to view the weight and gas mileage data. Question content area bottom Part 1 ​(a) Find the​ least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable. ModifyingAbove y with caretequals    enter your response herexplus​(    enter your response here​) ​(Round the x coefficient to five decimal places as needed. Round the constant to one decimal place as​ needed.) Part 2 ​(b) Interpret the slope and​ y-intercept, if appropriate. Choose the correct answer below and fill in any answer boxes in your choice. ​(Use the answer from part a to find this​ answer.) A. For every pound added to the weight of the​ car, gas mileage in the city will decrease by    enter your response here ​mile(s) per​ gallon, on average. It is not appropriate to interpret the​ y-intercept. B. For every pound added to the weight of the​ car, gas mileage in the city will decrease by    enter your response here ​mile(s) per​ gallon, on average. A weightless car will get    enter your response here miles per​ gallon, on average. C. A weightless car will get    enter your response here miles per​ gallon, on average. It is not appropriate to interpret the slope. D. It is not appropriate to interpret the slope or the​ y-intercept. Part 3 ​(c) A certain​ gas-powered car weighs 3629 pounds and gets 19 miles per gallon. Is the miles per gallon of this car above average or below average for cars of this​ weight? The estimated average miles per gallon for cars of this weight is    enter your response here miles per gallon. The miles per gallon of this car is ▼ above below average for cars of this weight. ​(Round to three decimal places as​ needed.) Part 4 ​(d) Would it be reasonable to use the​ least-squares regression line to predict the miles per gallon of a hybrid gas and electric​ car? Why or why​ not? A. ​No, because the absolute value of the correlation coefficient is less than the critical value for a sample size of nequals10. B. ​Yes, because a hybrid gas and electric car is partially powered by gas. C. ​Yes, because the absolute value of the correlation coefficient is greater than the critical value for a sample size of nequals10. D. ​No, because a hybrid gas and electric car is a different type of car.