A researcher selects a random sample of 200 students to determine whether there is a relationship between the number of days a student is absent and the student's grade point average. The
correlation coefficient, r, of the data is -0.765. On the basis of the correlation coefficient alone, can the
researcher conclude that an increase in the number of days a student is absent causes the student's
grades to drop?
No, because other factors may have influenced the student grades.
Yes, because ris very close to - 1
Yes, because the students in the sample were randomly selected
No because ris negative

I would like to say that I don't know the answer to this question

-3

step-by-step explanation:

a drawing really does here:

so i draw the horizontal line y=2 and the vertical line x=-2 at this intersection i put b (this is where my right angle is going to be).   so point b is at (-2,2).   point a is 5 units long and is also on y=2 so this point has to be (3,2) or (-7,2) -doesn't matter i will go with (3,2).

now we know c is at (-2,y) we don't know the y yet bet we know that c is on x=-2.

we have the area of the triangle is .5bh=12.5

we know the base length is 5 (ab)

we have the height is (2-y) if you look at your

plug in

.5(5)(2-y)=12.5

solve for y to get the y-coordinate for c

2.5(2-y)=12.5

divide both sides by 2.5 giving:

2-y=5

now subtract 2 on both sides

-y=3

y=-3

77

step-by-step explanation: