Hi all,   Can someone help and explain the  following question?   This question will ask you to provide missing code segments. A logistic regression model was fit on a data set where 40% of the outcomes were events (TARGET=1) and 60% were non-events (TARGET=0). The analyst knows that the population where the model will be deployed has 5% events and 95% non-events. The analyst also knows that the company's profit margin for correctly targeted events is nine times higher than the company's loss for incorrectly targeted non-event. proc logistic data = LOANS descending;  model Purch = Inc Edu;  score data = LOANS_V out = LOANS_VS priorevent= (insert X here);  run; data LOANS_VS; set LOANS_VS;  Solicit = P_1 > (insert Y here); run; What X and Y values should be added to the program to correctly score the data?   ... View more

Hello all,     Can some one explain the following question?   The following LOGISTIC procedure output analyzes the relationship between a binary response and an ordinal predictor variable, wrist_size Using reference cell coding, the analyst selects Large (L) as the reference level.                                            Analysis of Maximum likelihood estimates Parameter         DF          Estimate    standard error     Wald Chi-sq      Pr>Chisq Intercept            1            -1.0415      0.4749                  4.8101            0 .0283 wrist_size  M     1            1.1234       0.4989                  5.0697            0.0243 wrist_size S      1             1.6078      0.5478                  8.6133             0.0033   What is the estimated logit for a person with large wrist size?             ... View more

  Hi all,   I am trying to understand the following question,   Customers were surveyed to assess their intent to purchase a product. An analyst divided the customers into groups defined by the company's pre-assigned market segments and tested for difference in the customers' average intent to purchase. The following is the output from the GLM procedure:   source             DF     Sum of square   Mean Square  F value   Pr>F Model               7        15716.87902     2245.268        64.98     <.0001 Error                146     5044.56             34.5518       Corrected-       153     20761.44481  total     What percentage of customers' intent to purchase is explained by market segment?    Can someone explain this?   Thanks         ... View more