method of least squares Antonyms
No Synonyms and anytonyms found
Meaning of method of least squares
method of least squares (n)
a method of fitting a curve to data points so as to minimize the sum of the squares of the distances of the points from the curve
method of least squares Sentence Examples
- The method of least squares minimizes the sum of the squared residuals between the observed data and the fitted model.
- The method of least squares seeks to find the line that best fits a set of data points in a straight line.
- The method of least squares is often used in statistical analysis to find the best-fitting line for a set of data.
- The method of least squares can be used to find the equation of the line that best fits a set of data points.
- The method of least squares is based on the assumption that the errors in the data are normally distributed.
- The method of least squares is a powerful tool for analyzing data and finding the best-fitting line.
- The method of least squares can be used to find the equation of the plane that best fits a set of data points.
- The method of least squares can be used to find the equation of the curve that best fits a set of data points.
- The method of least squares is a widely used statistical technique for fitting models to data.
- The method of least squares is a powerful tool for understanding the relationship between variables.
FAQs About the word method of least squares
a method of fitting a curve to data points so as to minimize the sum of the squares of the distances of the points from the curve
No synonyms found.
No antonyms found.
The method of least squares minimizes the sum of the squared residuals between the observed data and the fitted model.
The method of least squares seeks to find the line that best fits a set of data points in a straight line.
The method of least squares is often used in statistical analysis to find the best-fitting line for a set of data.
The method of least squares can be used to find the equation of the line that best fits a set of data points.
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