How do I choose the right regression model for my data?

How do I choose the right regression model for my data?

Choosing the right regression model depends on the nature of your data and the relationship you want to analyze. What type of data are you working with?

I have a dataset with both continuous and categorical variables.

In that case, you might consider using multiple linear regression if your dependent variable is continuous. If you have categorical outcomes, logistic regression could be a better fit. Would you like to know more about these models?

Yes, can you explain the difference between linear and logistic regression?

Sure! Linear regression predicts a continuous outcome, while logistic regression predicts a binary outcome. Linear regression uses a straight line to model relationships, whereas logistic regression uses a logistic function to model probabilities.

That makes sense! How do I evaluate the performance of these models?

You can evaluate model performance using metrics like R-squared for linear regression and accuracy, precision, or AUC for logistic regression. Would you like to dive deeper into any of these metrics?