:5; In a Stuoy aoour tne value or useu cars wnlcn useo 1.: oata pomts, It was round me: tnere was linear correlation coefficient of r = - 0.845 for the relationship between the number of oil changes a car has had and the value of the car. 3a) (2 pts) What does this correlation coefcient tell us? A. A car that has had more oil changes generally has a higher value than a car that has had less oil changes. B. A car that has had more oil changes generally has a lower value than a car that has had less oil changes. C. The number of oil changes has little or no relation on the value of the car. 3b) (2 pts) Which conclusion makes the most sense? A. This is a strong linear relation, so we can conclude that oil changes cause a car's value to increase. B. This is a strong linear relation, so we can conclude that oil changes cause a car's value to decrease. C. We can't determine that the oil changes cause a car's value to increase or decrease because the linear relation is not strong enough to make such a conclusion. D. We can't determine that oil changes cause a car's value to increase or decrease because the correlation could be the result of a common underlying cause (lurking variable). 3c) (2 pts) Give an explanation of your above answers (how you decided there was/wasn't a linear relation, why you can/can't determine that oil changes cause the car's value to increase or decrease, if you think a lurking variable is involved)