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I. True/False/Uncertain At the 10th decile the (cumulative) lift would always be one. With 3 categories of Y and 10 Xs, the multinomial logit has

I. True/False/Uncertain

  1. At the 10th decile the (cumulative) lift would always be one.
  2. With 3 categories of Y and 10 Xs, the multinomial logit has twice as many parameters as the cumulative logit.
  3. If one uses Canadian provincial data to model COVID-19 cases, one should use an offset.
  4. Global homogeneitySSGis zero when we start with each observation in its own group with the Ward clustering method.
  5. Having more missing values in the variable education for higher levels of education is an example of MAR.

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