Suppose the logistic model holds in which x is uniformly distributed between 0 and 100, and logit(????i) = −2.0 + 0.04xi. Randomly generate 100 independent observations from this model. Plot the residuals against x and against the fitted values. Why do residual plots for binary data have this appearance?