Use the following information to answer Questions .
The scatterplot below shows the relationship between a car's speed and the distance it traveled to come
to a complete stop when hitting the brakes. The correlation coefﬁcient between the values is 0.81.
-Can we use the regression equation to predict the stopping distance of a car that is traveling at 40 mph?
A)No, we cannot make a prediction because a car that is traveling at 40 mph is outside the range of our data.We would be extrapolating.
B)No, we cannot make a prediction because the correlation coefﬁcient does not equal 1.
C)Yes, we can always make predictions once we have a regression equation.
D)Yes, we can make a prediction because the scatterplot shows a strong positive linear relationship.

Question

Use the following information to answer Questions .
The scatterplot below shows the relationship between a car's speed and the distance it traveled to come
to a complete stop when hitting the brakes. The correlation coefﬁcient between the values is 0.81. 
-Can we use the regression equation to predict the stopping distance of a car that is traveling at 40 mph?
A)No, we cannot make a prediction because a car that is traveling at 40 mph is outside the range of our data.We would be extrapolating. 
B)No, we cannot make a prediction because the correlation coefﬁcient does not equal 1. 
C)Yes, we can always make predictions once we have a regression equation. 
D)Yes, we can make a prediction because the scatterplot shows a strong positive linear relationship.

Quizplus · Accepted Answer

A prediction for a car traveling at 40 mph would be considered extrapolation if 40 mph is outside the range of data used to create the regression equation, making it less reliable.

Use the Following Information to Answer Questions