5. Analyzing Lines of Fit
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Make a table of the residual values and then graph them on a scatter plot.
Yes, see solution.
x | y | y=-1.3x+1 | y-value From Model | Residual |
---|---|---|---|---|
-8 | 9 | -1.3( -8)+1 | 11.4 | 9-11.4= -2.4 |
-6 | 10 | -1.3( -6)+1 | 8.8 | 10-8.8= 1.2 |
-4 | 5 | -1.3( -4)+1 | 6.2 | 5-6.2= -1.2 |
-2 | 8 | -1.3( -2)+1 | 3.6 | 8-3.6= 4.4 |
0 | -1 | -1.3( 0)+1 | 1 | -1-1= -2 |
2 | 1 | -1.3( 2)+1 | -1.6 | 1-(-1.6)= 2.6 |
4 | -4 | -1.3( 4)+1 | -4.2 | -4-(-4.2)= 0.2 |
6 | -12 | -1.3( 6)+1 | -6.8 | -12-(-6.8)= -5.2 |
8 | -7 | -1.3( 8)+1 | -9.4 | -7-(-9.4)= 2.4 |
Now we can create a scatter plot using the given x-values and our residuals. Remember, if the model is a good fit for the data, the scatter plot will be evenly distributed above and below the x-axis. Also, there will be no apparent patterns.
This line of fit models the data well. It is evenly distributed above and below the x-axis.