Houghton Mifflin Harcourt Algebra 1, 2015
HM
Houghton Mifflin Harcourt Algebra 1, 2015 View details
2. Fitting a Linear Model to Data
Continue to next subchapter

Exercise 20 Page 373

Make a table of values to calculate the residuals.

The line is not a good fit.

Practice makes perfect
The following table shows the median age of people living in Texas.
Year Median Age of People
1970 27.1
1980 29.3
1990 31.1
2000 33.8
2010 37.6

We will use the residuals to to calculate the quality of fit for the line y=0.5x+20.

x y (Actual) y predicted by y=0.5x+20 Residual for y=0.5x+20
0 27.1 y=0.5( 0)+20= 20 27.1- 20=7.1
10 29.3 y=0.5( 10)+20= 25 29.3- 25=4.3
20 31.1 y=0.5( 20)+20= 30 31.1- 30=1.1
30 33.8 y=0.5( 30)+20= 35 33.8- 35=-1.2
40 37.6 y=0.5( 40)+20= 40 37.6- 40=-2.4

As you can see, the residuals are large. Therefore, the line is not a good fit.