Reference no: EM132843463
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.
Weight (pounds), x Miles per Gallon, y
3696 16
3847 5
2738 26
3613 20
3334 22
2957 23
3630 18
2514 23
3537 20
3851 18
3388 18
b) Interpret the slope and y Intercept if appropriate. Need to select one answer below and fill in any missing information.
-For every pound of weight added to the car gal mileage in the city will increase ____miles per gallon on average. A weightless car will get ___miles per gallon on average.OR
-For every pound of weight added to the car gal mileage in the city will decrease by ____miles per gallon on average. A weightless car will get ___miles per gallon on average.OR
-A weighltess car will get ___ miles per gallon on average, it's not appropriate to interpret the slope.OR
-It's not appropriate to interpret the slope of the y-intercept.
c) A certain gas-powered car weighs 3600 pounds and gets 17 miles per gallon. Is the miles per gallon of this car above or below the average of similar cars of this weight?
d) Would it makes sense to use least-squares regression line to predict the miles per gallon of a hybrid gas and electric car? Why or why not?
-yes because the hybrid is partially powered by gas
-no because the hybrid is a different type of car
-no because the absolute value of the correlation coefficient is less than the critical value for a sample size of n=11
-yes because the absolute value of the correlation coefficient is greater than the critical value for a sample size of n=11