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January 27, 2015

January 27, 2015

Posted by **Celest** on Thursday, July 14, 2011 at 9:21pm.

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**, Friday, July 15, 2011 at 7:26pmUsing 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.

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