Unique Skill ID: KS1277W74Y298PPZ7568

Ordinary Least Squares (Regression Analysis)

In statistics, 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 of the independent variable.

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Biostatistics
Clinical SAS
Health Economics And Outcomes Research (HEOR)
Medical Communications
Outcomes Research
Randomization
Real World Data
Real World Evidence
Statistical Programming

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