When graphing the residual values, when do you know if a linear model is an appropriate model for your data? A)If the points in the residual plot are all close to the vertical axis.
B)If the points in the residual plot are all in a straight line.
C)If the points in the residual plot are scattered.
D)If the points in the residual plot are all close to the horizontal axis.

The correct answer is C

Step-by-step explanation:

If we see a curved relationship in the residual plot, the linear model is not appropriate. Another type of residual plot shows the residuals versus the explanatory variable.

1. minimum

2. 6400

3. eight

hope this !

option: d is the correct answer.

d) none of the above.

step-by-step explanation:

clearly from the figure attached to the question we could see that there is no shape given. hence without any shape given in the figure and after rotation we can't obtained a square pyramid.

since, to obtain a image we need a proper figure of the pre-image so that it can be transformed.

hence, the correct answer is:

d) none of the above.

step-by-step explanation: