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? x given predicted residual 1 -2.7 -2.84 2 -0.9 -0.81 3 1.1 1.22 4 3.2 3.25 5 5.4 5.28 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? x given predicted residual 1 -2.7 -2.84 2 -0.9 -0.81 3 1.1 1.22 4 3.2 3.25 5 5.4 5.28 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: Recall residual formula

Residual = Given - Predicted

Step2: Calculate residual for x = 1

Residual = - 2.7-(-2.84)= - 2.7 + 2.84 = 0.14

Step3: Calculate residual for x = 2

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

Step4: Calculate residual for x = 3

Residual = 1.1 - 1.22=-0.12

Step5: Calculate residual for x = 4

Residual = 3.2 - 3.25=-0.05

Step6: Calculate residual for x = 5

Residual = 5.4 - 5.28 = 0.12

Step7: Analyze residual plot

A good - fitting line of best fit has residuals that are randomly scattered (no pattern). Here, the points have no pattern.

Answer:

x Given Predicted Residual
1 - 2.7 - 2.84 0.14
2 - 0.9 - 0.81 - 0.09
3 1.1 1.22 - 0.12
4 3.2 3.25 - 0.05
5 5.4 5.28 0.12
Yes, the points have no pattern.