A statistics student wants to determine if there is a relationship between a student's number of absences, x, and their grade point average (GPA), y. The given data lists the number of absences and GPAs for 15 randomly selected
students.
15
1
0
6
9
12
3
3
1
2
7
0
4.
9
10
Number of
Absences
GPA
2.1 4.3 4.53.2
4.0
1.7
3.8
2.9
3.6
3.4
2.6
3.1
2.8
2.8
4.1
Using technology, the slope of the least-squares regression line is
-0.10, which means for each additional absence, the GPA will decrease by 0.10 points.
0 -0.10, which means for each additional absence, the GPA is predicted to decrease by 0.10 points.
O 0.10, which means for each additional absence, the GPA will increase by 0.10 points.
O 0.10, which means for each additional absence, the GPA is predicted to increase by 0.10 points.

The accompanying table shows the numbers of male and female students in a particular country who received bachelor's degrees in business in a recent year. complete parts (a) and (b) below. business degrees nonbusiness degrees total male 189131 634650 823781 female 169539 885329 1054868 total 358670 1519979 1878649 (a) find the probability that a randomly selected student is male, given that the student received a business degree. the probability that a randomly selected student is male, given that the student received a business degree, is nothing. (round to three decimal places as needed.) (b) find the probability that a randomly selected student received a business degree, given that the student is female. the probability that a randomly selected student received a business degree, given that the student is female, is nothing. (round to three decimal places as needed.)

Complete the conditional statement. if a + 2 < b + 3, then a < b b < a a – b < 1 a < b + 1

What is the missing value in the proportion 4/5 = x/30