For Table 4.2, refit the linear probability model or the logistic regression model using the scores (a) (0, 2, 4, 6), (b) (0, 1, 2, 3), and (c) (1, 2, 3, 4). Compare β̂ for the three choices. Compare fitted values. Sum marize the effect of linear transformations of scores, which preserve relative sizes of spacings between scores.

Table 4.2:

Heart Disease Yes Proportion Yes Linear Fit Logit Fit Snoring No 0.017 0.055 0.099 0.118 Never Occasionally Nearly every night Every night 24 1355 603 0.017 0.057 0.096 0.116 0.021 35 21 30 0.044 192 224 0.093 0.132