The data below are the average one-way commute times (in minutes) for selected students and the number of absences for those students during the term. Commute time (min.), x Number of absences,

x 45 62 80 85 75 94 70 96 66

y 3 7 9 10 8 14 4 16 5

a. Find the equation of the regression line for the given data. Round the regression line values to the nearest hundredth.

b. What would be the predicted number of absences if the commute time was 95 minutes? Round the predicted number of absences to the nearest whole number.

c. Is this a reasonable question? Explain why or why not.

Amovie producer conducted a survey after the screening of his movie to find out how the film would be received by viewers from different age groups. the columns in the two-way table indicate the numbers of viewers who rated the film on a four-point scale: excellent, good, average, and poor. viewer's age group excellent good average poor marginal totals 16-25 52 42 12 7 113 26-35 33 50 5 9 97 36-45 58 12 28 34 132 which of these observations is supported by the data in the table? note: a rating of good or excellent means the audience liked the movie, while a rating of poor means the audience disliked the movie. a. the majority of the audience in the 26-35 age group disliked the movie. b. among those who liked the movie, the majority were in the oldest age group. c. among those who disliked the movie, the majority were in the 26-35 age group. d. the majority of the audience in the 16-25 age group liked the movie. e. the majority of the audience from all the age groups disliked the movie