Review:
Ordinary Least Squares Regression
overall review score: 4.5
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score is between 0 and 5
Ordinary least squares (OLS) regression is a statistical technique used to estimate the relationship between one dependent variable and one or more independent variables.
Key Features
- Linear regression model
- Minimization of sum of squared residuals
- Estimation of coefficient values
Pros
- Simple and easy to understand
- Provides estimates of relationships between variables
- Widely used in various fields such as economics, finance, and social sciences
Cons
- Assumes linear relationship between variables
- Sensitive to outliers
- May not perform well with non-linear data