Answer the following statement(s) true (T) or false (F)
1. Logistic regression works well with multiple independent variables regardless of the level of measurement.
2. A binary variable is one that can assume only two values.
3. One way logistic regression differs from OLS regression is that it helps make prediction when variables are not related in a linear fashion.
4. Logistic regression allows a researcher to make a specific estimate of the effect of X on Y.
5. MLE works by estimating the probability of correctly guessing the value of the dependent variable with knowledge of the value of the independent variable.
1. False (one must be interval)
2. True
3. True
4. False (it allows an estimate of the probability of Y for a given value of X)
5. True
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