5. Analyzing Lines of Fit
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Make a table of the residual values and then graph them on a scatter plot.
No, see solution.
Let's begin by making a table of the residual values.
x | y | y=4x-5 | y-value From Model | Residual |
---|---|---|---|---|
-4 | -18 | 4( -4)-5 | -21 | -18-(-21)= 3 |
-3 | -13 | 4( -3)-5 | -17 | -13-(-17)= 4 |
-2 | -10 | 4( -2)-5 | -13 | -10-(-13)= 3 |
-1 | -7 | 4( -1)-5 | -9 | -7-(-9)= 2 |
0 | -2 | 4( 0)-5 | -5 | -2-(-5)= 3 |
1 | 0 | 4( 1)-5 | -1 | 0-(-1)= 1 |
2 | 6 | 4( 2)-5 | 3 | 6-3= 3 |
3 | 10 | 4( 3)-5 | 7 | 10-7= 3 |
4 | 15 | 4( 4)-5 | 11 | 15-11= 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 does not model the data well. It is not evenly distributed above and below the x-axis. The residual scatter plot shows that every residual is positive.