Regression analysis and ordinary least-squares are the same method.

Question

Quizplus · Accepted Answer

regression analysis and ordinary least squares (OLS) are not the same method. Regression analysis is a statistical process for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables. 
On the other hand, Ordinary Least Squares (OLS) is a type of linear least squares method for estimating the unknown parameters in a linear regression model. OLS chooses the parameters of a linear function of a set of explanatory variables by the principle of least squares: minimizing the sum of the squares of the differences between the observed dependent variable in the given dataset and those predicted by the linear function.
So, while OLS is a method used in linear regression analysis, they are not the same thing. Regression analysis is a broader concept, and OLS is a specific technique used within that framework.

Regression Analysis and Ordinary Least-Squares Are the Same Method