Isurveyed students in my math ii classes to see how many hours of television they watched the night before our big test on triangles. below are the responses of nine randomly selected students, along with the grades they each earned on that test. (slope, y-intercept,
6
hours spent watching tv grade on test (out of 100)
4 71

2 81

4 62

1 86

3 77

1 93

2 84

3 80

2 85

use your equation to predict a student’s score if he/she watched 1.5 hours of tv. round your answer to the nearest whole number.

Given the table below representing the number of hours of television nine Math II class students watched the night before a big test on triangles along with the grades they each earned on that test.



Let the number the number of hours of television each of the students watched the night before the test be x while the grades they each earned on that test be y.

We use the following table to find the equation of the line of best fit of the regression analysis of the data.



Recall that the equation of the line of best fit of a regression analysis is given by

where:

and




Thus, the equation of the line of best fit is given by y = 97.95 - 7.391x

A student that watched 1.5 hours of TV will have a score given by
y = 97.95 - 7.391(1.5) = 97.95 - 11.0865 = 86.8635

Therefore, a student’s score if he/she watched 1.5 hours of TV to the nearest whole number is 87.