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"A. The commonly used algorithm for linear regression is <strong>Ordinary Least Squares (OLS)</strong>. OLS finds the best-fitting line by minimizing the sum of the squared differences between the observed values and the predicted values. This results in a linear equation that best describes the relationship between the dependent and independent variables."
<https://www.analyticsvidhya.com/blog/2021/05/5-regression-algorithms-you-should-know-introductory-guide/?utm_source=reading_list&utm_medium=https://www.analyticsvidhya.com/blog/2023/11/googles-bard-can-now-watch-and-answer-questions-about-youtube-videos/>