A principal collects data from students in a high school. The scatter plot shows a line of fit and residuals. A scatter plot is titled Student Time and has x-axis labeled Weekly Tests going from 0 to 7 in increments of one and y-axis labeled Study Time Per Test (in hours) going from 0 to 21 in increments of 3. The ordered pairs 1,12 and 1,9 and 2,10 and 3,6 and 3,10 and 4,5 and 4,9 and 5,9 and 6,8 and 7,4 are plotted. A line of fit is sketched through ordered pairs 0,11 and 10,3. Vertical segments are drawn from each ordered pair to the line of fit and measure 1.9 and 0.6 and 1.5 and 1.2 and 2 and 1.8 and negative 1.3 and negative 2.7 and negative 2.8 and negative 1.4 units. How should the principal interpret the strength of the association? As the number of weekly tests for students increases, the time students spend studying on each test tends to decrease. There is a weak linear relationship between the number of tests students have each week and the amount of time they study for each test. There is a strong linear relationship between the number of tests students have each week and the amount of time they study for each test. As the number of weekly tests for stude