To find the residual values, we need to subtract the predicted values from the given values.
The residual values are:
-3.5 - (-1.1) = -2.4
-2.9 - 2 = -4.9
-1.1 - 5.1 = -6.2
2.2 - 8.2 = -6
3.4 - 1.3 = 2.1
The table with the residual values is:
| x | given | predicted | residual value |
|---|-------|-----------|----------------|
| 1 | -3.5 | -1.1 | -2.4 |
| 2 | -2.9 | 2 | -4.9 |
| 3 | -1.1 | 5.1 | -6.2 |
| 4 | 2.2 | 8.2 | -6 |
| 5 | 3.4 | 1.3 | 2.1 |
To create a residual plot, we plot the residual values on the y-axis and the given values on the x-axis.
Looking at the residual plot, we can see that the points have no pattern and are scattered randomly around the x-axis. Therefore, we can conclude that the line of best fit is appropriate for the data.
Answer: Yes, the points have no pattern.