Using an online calculator, I have the following:
6 data pairs (x,y):
( 0.00 , 95.0 ); ( 1.00 , 91.0 ); ( 2.00 , 82.0 ); ( 3.00 , 69.0 ); ( 4.00 , 67.0 ); ( 5.00 , 58.0 );
r = -0.987 -->correlation coefficient
predicted y = 96.3 - 7.71x -->regression equation
To find the final grade of a student who misses 3.5 days, substitute that value for x and solve for predicted y.
I hope this will help.
You are given the following data.
Number of Absences Final
Grade
0 95
1 91
2 82
3 69
4 67
5 58
- 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.
1 answer
1 answer