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