In the following data set, the equation of the regression line to predict GPA from Age is y = .15x-.08. This line predicts that a person who is 23 years old will have a GPA of 3.27. However, looking at the data itself, a 22-year-old has a 3.9 GPA and a 25-year-old has a 3.6 GPA, so shouldn't a 23-year-old have a GPA which is somewhere between 3.6 and 3.9? Explain why this prediction comes about (and makes sense), given the relationships we see in the data.