Core Connections Algebra 1, 2013
CC
Core Connections Algebra 1, 2013 View details
Chapter Closure

Exercise 122 Page 412

a Examining the line of best fit, we notice that it has a positive slope and a correlation coefficient that is close to 1. This tells us the association is strong. Also, an r-value of 0.9 corresponds to an R-squared of (0.9)^2≈ 0.81. This means about 81 % of the difference in scores is explained by the difference in rating.
b Let's first calculate the difference in rating.
74.27-76.61=- 2.34Examining the association, we notice that the association has a slope of about 1.6 and a y-intercept of 0. With this information, we can write the regression's equation in slope-intercept form. y=- 1.6x By substituting x=- 2.34 into the function we can calculate the predicted outcome.
y=1.6x
y=1.6( - 2.34)
Simplify right-hand side
y=- 1.6(2.34)
y=- 3.74
y≈ - 4
The Novato is predicted to lose by about 4 goals.
c By adding the residual to the predicted value, we can determine the actual value. Therefore, we have to start by calculating the predicted value.
y=1.6x
y=1.6( 5)
y=8
The predicted difference in scores was 8. By adding the residual to this number, we get the actual value. 8+7=15