Using an online calculator, I found the following:
6 data pairs (x,y):
( 0.00 , 93.0 ); ( 1.00 , 93.0 ); ( 2.00 , 77.0 ); ( 3.00 , 68.0 ); ( 4.00 , 65.0 ); ( 5.00 , 54.0 );
r = -0.977 (rounded to 3 decimal places)
Equation for the regression line:
predicted y = 95.6 - 8.23x
Substitute 3.5 for x in the regression equation to calculate y.
I hope this will help.
Number of Absences
Final
Grade
0
93
1
93
2
77
3
68
4
65
5
54
- Find the correlation coefficient for the data.
I got this part of my answer. I believe the answer to be -0.9767
I am just going crazy with the second part.
- Find the equation for the regression line for the data, and predict the final grade of a student who misses 3.5 days.
Thanks :)
1 answer
1 answer