Fitting Lines to Data

Fitting lines to data, often referred to as linear regression, is a fundamental statistical technique used to model the relationship between variables. It involves finding the best-fitting straight line that summarizes the relationship between the independent and dependent variables in a dataset. This method is extensively employed in various fields, including economics, engineering, and natural sciences, to analyze and predict trends, make forecasts, and understand underlying patterns within the data. Through precise mathematical algorithms, linear regression provides valuable insights into the association between variables, facilitating informed decision-making and hypothesis testing.