least squares Antonyms
No Synonyms and anytonyms found
Meaning of least squares
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
least squares Sentence Examples
- The aim of the least squares method is to minimize the sum of the squares of the differences between the observed values and the values predicted by the model.
- The least squares method is a standard approach to fitting a mathematical model to a set of data points.
- The least squares method can be used to fit a variety of models, including linear models, polynomial models, and exponential models.
- The least squares method is widely used in statistics, engineering, and other fields.
- The least squares method is a powerful tool for finding the best-fit line or curve to a set of data points.
- The least squares method can be used to find the line or curve that is most likely to produce accurate predictions for new data points.
- The least squares method is often used in conjunction with other statistical methods to analyze data.
- The least squares method is a relatively simple method to understand and implement.
- The least squares method can be used to solve a variety of problems in statistics and engineering.
- The least squares method is a valuable tool for statisticians and engineers.
FAQs About the word 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 aim of the least squares method is to minimize the sum of the squares of the differences between the observed values and the values predicted by the model.
The least squares method is a standard approach to fitting a mathematical model to a set of data points.
The least squares method can be used to fit a variety of models, including linear models, polynomial models, and exponential models.
The least squares method is widely used in statistics, engineering, and other fields.
