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.

since proposition states that a number is greater than 25, if is true then the number must actually be greater than 25.

this implies that all possible options, except 24, can be accepted

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step-by-step explanation: