Answer:
a set of four data pairs with a correlation coefficient r = –0.8
Explanation:
The correlation coefficient, or r value, tells us how well the regression model fits the data. The r values range from -1 to 1, with -1 being a perfect fit of a negative trend and 1 being a perfect fit of a positive trend. The closer the r value is to -1 or 1, the better the line fits; the closer the r value is to 0, the worse the fit.
Since the r value is -0.8, which is very close to 1 (think 80%), this means this would be a good candidate for linear regression.
