find the residual values, and use the graphing calculator tool to make a residual plot. does the residual…

find the residual values, and use the graphing calculator tool to make a residual plot. does the residual plot show that the line of best fit is appropriate for the data? no, the points are in a curved pattern. no, the points are evenly distributed about the x - axis. yes, the points are in a linear pattern. yes, the points have no pattern.

find the residual values, and use the graphing calculator tool to make a residual plot. does the residual plot show that the line of best fit is appropriate for the data? no, the points are in a curved pattern. no, the points are evenly distributed about the x - axis. yes, the points are in a linear pattern. yes, the points have no pattern.

Answer

Explanation:

Step1: Calculate residual for (x = 1)

Residual (=\text{Given}-\text{Predicted}) (=-2.7-(-2.84)=-2.7 + 2.84 = 0.14)

Step2: Calculate residual for (x = 2)

Residual (=-0.9-(-0.81)=-0.9+0.81=-0.09)

Step3: Calculate residual for (x = 3)

Residual (=1.1 - 1.22=-0.12)

Step4: Calculate residual for (x = 4)

Residual (=3.2-3.25=-0.05)

Step5: Calculate residual for (x = 5)

Residual (=5.4 - 5.28 = 0.12)

For the second part, in a residual plot, if the points have no pattern (randomly scattered), the line of best - fit is appropriate.

Answer:

The residual values are (0.14), (-0.09), (-0.12), (-0.05), (0.12). The answer for the second part is: Yes, the points have no pattern.