Multiple linear regression is a statistical technique used to model the relationship between one dependent variable and two or more independent variables by fitting a linear equation to observed data. This method allows for the assessment of how multiple factors contribute to the outcome of interest, providing insights into their individual and combined effects. It plays a crucial role in predictive modeling, hypothesis testing, and understanding complex relationships in data.
congrats on reading the definition of multiple linear regression. now let's actually learn it.