1. Consider the following outliers and analyze both the scatter plot and residual plot to determine whether each is an influential observation. Justify your answer. (Note: You can highlight a point by going to that row and clicking the row number. The corresponding point will then be highlighted.)
   1. Morrisonville High School (Row 75), with 3.4% low-income and 15% college ready.
   2. Lane Technical High School of Chicago (Row 1130), with 54% low-income and 92.1% college ready.
   3. Minooka Community High School (Row 2168), with 0.7% low-income and 60.4% college ready.

1. 5.9% of St. Charles North High School students qualify as low-income, and 76.2% of its students are college ready. Find and interpret its residual.

1. Find and interpret the coefficient of determination for the LSR model using Low-Income % to predict % College Ready.

1. Using the same data, find the linear correlation between the Instruction Spending Per Pupil and the % College Ready. How does this correlation compare to the correlation between the Low-Income % and the % College Ready?