| Abstract | Linear regression is a fundamental statistical technique used to model the relationship between a dependent
variable and one or more independent variables. By establishing a linear equation that best fits the observed
data, it enables the prediction of the dependent variable based on known values of the independent variables.
This method not only quantifies relationships but also provides critical insights for trend analysis and
forecasting, making it an indispensable tool across various domains. As one of the most widely applied
statistical techniques, linear regression plays a pivotal role in predictive modeling, data analysis, and
informed decision-making. This paper explores the core principles of linear regression, examining its
applications, significance in predictive systems, and its extensive use in fields such as finance, healthcare,
and artificial intelligence..
Keywords: Continuous variable, linear regression, Prediction system, least squares method
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