What Makes the Interpretation of Conditional Effects Extra Challenging in Logistic

question 5

Multiple Choice

What makes the interpretation of conditional effects extra challenging in logistic regression?

• A) It is not possible to model interaction effects in logistic regression
• B) The results must be raised by its natural logarithm
• C) The conditional effect is dependent on the values of all X-variables
• D) The maximum likelihood estimation makes the results unstable

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Definitions:

Categorical Data

Data that can be sorted into categories based on qualitative properties or attributes, such as names or labels.

Numerical Data

Information that can be measured or counted and represented in numbers and values.

Multicollinearity

A statistical phenomenon in which two or more independent variables in a regression model are highly correlated, potentially distorting the results.

Independent Variables

Factors or predictors in an experiment or model that are intentionally varied to observe their effect on other variables, deemed independent for their unchanged nature by other variables.