Question: 1. Logistic regression is a particularly appropriate method to use when: A) the dependent variable is numeric. B) there are significant interactions between independent variables.

1. Logistic regression is a particularly appropriate method to use when:

A) the dependent variable is numeric. B) there are significant interactions between independent variables. C) we have multiple qualitative independent variables. D) we would like to know the probability that a binary variable will be 1.

2. If classifications and test.set.results are two equal-length lists of binary (TRUE or FALSE) values, how we can calculate the overall classification accuracy.

A) Computes the root mean squared error of the classifications B) Computes the total number of mismatched values between the two lists C) Computes the proportion of matching values between the two lists D) Computes the proportion of TRUE values in test.set.results

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