If the below data represent the number of days? absent, x, and the final exam? score, y, for a sample of college students in a general education course at a large state university, how would I find the least-squares regression line treating number of absences as the explanatory variable and the final exam score as the response variable and then interpret the slope and the? y-intercept, if appropriate and then predict the final exam score for a student who misses five class periods, ^{^}y = __, and the residual?

# of absences         x      0        1        2         3        4        5        6        7        8         9

Final exam score    y    88.6   85.8   82.7   80.8    77.8   74.3   63.5   70.8   64.8    65.8