Regression analysis is a set of statistical methods used to estimate relationships between a dependent variable and one or more independent variables.
- Linear Regression: A statistical method to model the relationship between a dependent variable and one or more independent variables using a straight line.
- R-squared: Represents the proportion of variance in the dependent variable explained by the independent variable(s) in a regression model.
- Logistic Regression: A statistical method used to model the relationship between a binary dependent variable (e.g., yes/no) and one or more independent variables.
