In this review, scientists discuss how linear regression, a common method in statistics and machine learning, helps find patterns between different factors. They look at different studies on linear regression and polynomial regression to see which works best for predicting outcomes accurately. By analyzing various research findings, they figure out how efficient these models are in reflecting real-world values from the given data.