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In an observational study about the value used cars, an analysis was done to see if there is a linear relation between the number of oil changes a car has had and the value of the car. The correlation coefficient was found to be r= -0.892. What does this correlation coefficient tell us? O A. This correlation coefficient indicates that a car that has had more oil changes generally has a higher value than a car that has had less oil changes. O B. This correlation coefficient indicates that a car that has had more oil changes generally has a lower value than a car that has had less oil changes. O C. This correlation coefficient tells us that the number of oil changes has little or no relation on the value of the car. Which conclusion can we make based on this correlation coefficient? O A. This is a strong linear relation, so we can conclude that oil changes cause a car's value to decrease. O B., 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. C. 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). D. This is a strong linear relation, so we can conclude that oil changes cause a car's value to increase