Question

answer attempt 1 out of 2
the scatter plot shows negative linear association because as the plotted values of x increase, the values of y generally
describe the association in the scatter plot below

Explanation:

In a scatter - plot, a negative linear association means that as the \(x\) - values (independent variable) increase, the \(y\) - values (dependent variable) decrease in a somewhat linear fashion. The general trend of the data points in the scatter - plot shows that when \(x\) gets larger, \(y\) gets smaller, which is the characteristic of a negative linear association.

Answer:

negative linear association because as the plotted values of \(x\) increase, the values of \(y\) generally decrease.