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The process of linear regression involves fitting a line to a set of data points to model the relationship between two variables. This can be done using a variety of methods, including the use of the popular programming language MATLAB. With its powerful and flexible tools for data analysis and visualization, MATLAB can be used to perform linear regression on a wide range of datasets, from small-scale experiments to large-scale industrial applications. By generating a linear model that accurately captures the relationship between the variables, MATLAB can help researchers and engineers gain valuable insights into their data and make informed decisions based on their findings.