the given data:weight(x) mpg(y)3799 163920 172763 253519 193402 212920 223641 172684 233400 193795 173358 17the next question includeA certain gas powered car weighs 3700 pounds and get 16 miles per gallon. Is that mile per gallon of this car above or below average for car of this weight??The last question is would it be reasonable to use the least squared regeneration line to predict the miles per gallon of a hybrid gas and electric car? Why or why not??a) no because the hybrid is a different type of car?b) Yes because the hybrid is partially powered by gasc) Yes because the absolute value of the correlation coefficient is greater than the critical value for the sample size of n=11d) no because the absolute value for the correlation cory fission is less than the critical value for the sample size of? n=11

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. Click here to view the weight and gas mileage data. Learning (a) Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable. g Free y =x + (Round the x coefficient to five decimal places as needed. Round the constant to two decimal places as needed.) sources (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.) O A. For every pound added to the weight of the car, gas mileage in the city will decrease by mile(s) per gallon, on average. It is not appropriate to interpret the y-intercept. neDrive O B. A weightless car will get miles per gallon, on average. It is not appropriate to interpret the slope. O C. For every pound added to the weight of the car, gas mileage in the city will decrease by mile(s) per gallon, on average. A weightless car will get miles per gallon, on average. O D. It is not appropriate to interpret the slope or the y-intercept