Understanding Ordinary Least Squares (OLS) Regression
https://builtin.com/data-science/ols-regression
How OLS Applies to Linear RegressionHow to Find OLS in A Linear Regression ModelAdvantages of OLS RegressionTo sum up, think of OLS as an optimization strategy to obtain a straight line from your model that is as close as possible to your data points. Even though OLS is not the only optimization strategy, it’s the most popular for this kind of task, since the outputs of the regression (coefficients) are unbiased estimators of the real values of alpha and...See more on builtin.comExplore furtherInterpreting the resu To sum up, think of OLS as an optimization strategy to obtain a straight line from your model that is as close as possible to your data points. Even though OLS is not the only optimization strategy, it’s the most popular for this kind of task, since the outputs of the regression (coefficients) are unbiased estimators of the real values of alpha and...
To sum up, think of OLS as an optimization strategy to obtain a straight line from your model that is as close as possible to your data points. Even though OLS is not the only optimization strategy, it’s the most popular for this kind of task, since the outputs of the regression (coefficients) are unbiased estimators of the real values of alpha and...
DA: 21 PA: 50 MOZ Rank: 42