Option c, the correlation coefficient content area bottom part is a measure of linear association.
The correlation analysis is used to quantify the linear dependence. A coefficient of correlation is a statistical statistic of how firmly two variables are significantly proportional. Values have been between -1 and 1. There is no association if the coefficient of correlation is 1. On the other hand, the discount will decrease on one line, increase on the next, and vice versa. The correlation coefficient for Pearson is one of the most frequently employed calculations.
r = (n(∑xy) - (∑x)(∑y)) ÷ (√[n∑x² - (∑x)²] [n∑y² - (∑y)²])
Learn more about the correlation coefficient at
brainly.com/question/13644762?referrer=searchResults
#SPJ4