In logistic regression, what type of outcome does the dependent variable typically represent? A) A count of occurrences B) A binary outcome or category C) Time series data D) A con... In logistic regression, what type of outcome does the dependent variable typically represent? A) A count of occurrences B) A binary outcome or category C) Time series data D) A continuous numeric value
Understand the Problem
The question is asking about the type of dependent variable typically used in logistic regression, specifically which of the provided options correctly describes it.
Answer
A binary outcome or category
In logistic regression, the dependent variable typically represents a binary outcome or category.
Answer for screen readers
In logistic regression, the dependent variable typically represents a binary outcome or category.
More Information
In logistic regression, the dependent variable is typically binary, meaning it can have two outcomes, such as 'yes' or 'no', '0' or '1'. The model calculates the probability of the dependent variable being in one of these two categories.
Tips
A common mistake is to think that logistic regression can be used with a continuous dependent variable. It is specifically designed for binary or categorical outcomes.
Sources
- What Is Logistic Regression? | IBM - ibm.com
- Logistic regression - Wikipedia - en.wikipedia.org
- Everything You Need to Know About Logistic Regression - Spiceworks - spiceworks.com
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