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.

part a

in a city ice cream is mostly only bought when the temperature is very high as ice cream cools down our

so we can derive the conclusion that as the temperature increases the number of ice creams sold also increases

part b

y intercept is 5

slope is 2

happy to

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