Least squares estimation is a statistical method used to determine the best-fitting line through a set of data points by minimizing the sum of the squares of the vertical distances between the observed values and the predicted values on the line. This technique is fundamental in creating simple linear regression models, allowing for accurate predictions based on linear relationships. By finding the line that best represents the data, least squares estimation helps in understanding and quantifying relationships between variables.
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