Linear regression is a fundamental statistical method used to model the relationship between a dependent variable and one or more independent variables. The primary goal is to establish a linear equation that can predict the dependent variable based on the independent variables. This technique is widely used in various fields, including catalysis, to analyze experimental data and make predictive models.
