I am having a difficult time trying to explain what is similar in

the 2 problems below. I know both of the studies are affected by the weight of the car, but is there any other similarities?
The mathematical relationship between weight and miles per gallon (MPG) in the city based on linear
correlation coefficient. A correlation coefficient of -0.84376 indicates that there is a strong negative correlation between the weight of the car and the MPG in the city.
As the weight of the car increases, the MPG in the city decrease. The direction of the regression line on the scatterplot is consistent with a strong negative correlation.

The mathematical relationship between weight of car and braking based on linear correlation coefficient.
A correlation coefficient of 0.35132 indicates that there is a moderate positive correlation. As the weight of the car increases and the braking distance increases. The upper direction of the regression line shows a positive correlation.

Compare the correlations for weight and braking distance with that of weight and city MPG. How are
they similar?