OLS Regression Explained | Best Fit Line in 60 Seconds
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OLS Regression Explained | Best Fit Line in 60 Seconds
How does regression find the best-fit line? OLS (Ordinary Least Squares) measures the difference between actual and predicted values, squares the errors, and chooses the line with the smallest total squared error. This simple idea powers beta estimation, risk models, portfolio analysis, and much more in finance. 📈 Learn finance concepts ...
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