Mam 1 ABCD Name: W Unit l0 Blvarlate Statistics 1 st . . , Stet and 4. The scatter plot below shows the relationship between number of absences per heme the average GPA (unweighted on a 4-point scale). )[f 21) Based on the scatter-plot, what would you estimate the correlation coefcient r to be? Morin L mm b) Describe what the rvnlue tells you about Lg: ' the relationship between the number of absences and the average GPA. i ,i]:,,i,lli' t. a l Number of (Absences (per semester) c) Two lines of t were established for the above data that pass through (2?, 7). Which is a better line of t for the data: y = 0.35x + 4 or y = -1.15x + 6? Create a table and a residual plot for both lines of t. (Label and scale both axes on the plots the same way). Residual Plot for y = 0.35x + 4 Residual Plot for y = 1.15x + 6 --- -- -- (1) Based off you: residual plots, draw a conclusion based on all three criteria on which line of t is a better model for the data. The line of t is a better model for our data because: e) that does it mean for the number of absences in a semester and the average GPA to be correlated but not have causation? Why is this distinction important when interpreting and analyzing data