A group of 6 randomly selected students are each asked the following two variables: the number of classes they had skipped in the past week and their GPA (on a 0.0 - 4.0 scale). The resulting data is shown in the following table:

Student	Skips, x	GPA, y
Sue	0	4.0
George	3	3.5
Sally	5	2.8
Joe	6	2.1
John	8	1.5
Ted	8	1.0

1. Which of the following can be inferred from this table of data? There appears to be a
   1. positive correlation between skips and GPA, but not a perfect linear relationship
   2. positive correlation between skips and GPA, and it is a perfect linear relationship
   3. negative correlation between skips and GPA, but not a perfect linear relationship
   4. negative correlation between skips and GPA, and it is a perfect linear relationship
2. Given the data, determine the correlation between the number of skips per student and the GPA of the students. The correlation is:
   1. r = -0.967
   2. r = 0.967
   3. r = -0.697
   4. r = 0.697
3. Which of the following would be an appropriate alternative hypothesis to determine if the correlation between the variables is statistically significant?
   1. r = 0
   2. r 0
   3. = 0
   4. 0