How do I prepare my data for regression analysis?

How do I prepare my data for regression analysis?

To prepare your data for regression analysis, you should start by cleaning your dataset, handling missing values, and encoding categorical variables.

What techniques can I use to handle missing values?

You can use techniques like mean/mode imputation, interpolation, or even removing rows with missing values, depending on your dataset.

Should I normalize or standardize my data?

It depends on the regression model you're using. Normalization is useful for models sensitive to the scale of data, while standardization is often preferred for linear regression.

What about outliers? How should I deal with them?

Outliers can skew your results. You can either remove them, transform them, or use robust regression techniques that are less sensitive to outliers.