When you're trying to predict something that has two possible outcomes—like whether someone will buy a product or not—logistic regression is the best method to use. Here’s why it works well:
Type of Outcome: If your result is a yes or no answer, logistic regression fits perfectly. Other methods expect answers as numbers, not categories.
Gives Probabilities: Logistic regression tells you how likely something is to happen. This is really helpful for figuring out the risks involved.
Easy to Understand: The results from logistic regression can be easily explained using odds ratios, making them simple to interpret.
So, if you're facing a question with two choices, definitely use logistic regression!
When you're trying to predict something that has two possible outcomes—like whether someone will buy a product or not—logistic regression is the best method to use. Here’s why it works well:
Type of Outcome: If your result is a yes or no answer, logistic regression fits perfectly. Other methods expect answers as numbers, not categories.
Gives Probabilities: Logistic regression tells you how likely something is to happen. This is really helpful for figuring out the risks involved.
Easy to Understand: The results from logistic regression can be easily explained using odds ratios, making them simple to interpret.
So, if you're facing a question with two choices, definitely use logistic regression!