Posted by Celest on .
Can someone please help me, I have been working on this for 2 hours now and I keep getting a negative answer.
You are given the following data.
Number of Absences Final
Grade
0 99
1 94
2 79
3 73
4 68
5 53
 Find the correlation coefficient for the data.
 Find the equation for the regression line for the data, and predict the final grade of a student who misses 3.5 days.

stats 
MathGuru,
Using an online calculator, I have the following data:
6 data pairs (x,y):
( 0.00 , 99.0 ); ( 1.00 , 94.0 ); ( 2.00 , 79.0 ); ( 3.00 , 73.0 ); ( 4.00 , 68.0 ); ( 5.00 , 53.0 );
y = a + bx where:
a= 100
b= 8.97
r = 0.986
In the regression equation, substitute 3.5 for x and solve for y to predict the final grade.
I hope this helps.