Answer:
See below for answers
Explanation:
a) What
means is that there's a strong positive correlation between the independent/explanatory variable "City Fuel Economy" and the dependent/response variable "Highway Fuel Economy".
is known as the correlation coefficient.
b) There would be no effect on the value of the correlation coefficient. The correlation does not change when the units of measurement of either one of the variables change. In other words, if we change the units of measurement of the explanatory/response variable, it has no effect on the correlation
.
c) There's no effect on the correlation because it follows the line of best fit. Of course, you can't say there aren't any residuals when you draw the line of best fit, which can somewhat change the correlation coefficient depending on how big the residuals are.
Hope my explanations made sense!