form a regression model, describe OLS,

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Accepted Answer

OLS is a method used to estimate the relationship between one dependent variable and one or more independent variables.

OLS stands for Ordinary Least Squares.
It is a method used in regression analysis to estimate the unknown parameters in a linear regression model.
The goal of OLS is to minimize the sum of the squared differences between the observed values and the values predicted by the model.
The OLS method calculates the coefficients of the regression equation by finding the line that best fits the data points.
The formula for OLS is: y = b0 + b1*x1 + b2*x2 + ... + bn*xn, where y is the dependent variable, b0 is the intercept, b1, b2, ..., bn are the coefficients, and x1, x2, ..., xn are the independent variables.

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