Suppose a residual plot for a LSRL fitted to given scatterplot shows a pattern to the residuals. What can you conclude?
A a LSRL is the best summary for the data
B the correlation is a perfect fit (r = 1)
C a non-linear function would be a better fit for the data
D the correlation must be 0
C a non-linear function would be a better fit for the data
If the residual plot shows a pattern to the residuals, it indicates that the linear model is not capturing the true relationship between the variables. In this case, a non-linear function would likely provide a better fit for the data.