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What does least squares mean?
What does least squares mean?
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Solution
Meaning of least square:
The method of least square is an approach in regression analysis.
It approximates the solution in the system where there are more equations than unknowns by minimizing the sum of squares of the residual.
It helps in reading the trend of the data whether data is in increasing direction or decreasing direction or a constant.
Types of least square problem:
- Linear or ordinary least squares
- Non linear least squares
Thus, the least square is a method to find the best fit for the given data points.
Meaning of least square:
The method of least square is an approach in regression analysis.
It approximates the solution in the system where there are more equations than unknowns by minimizing the sum of squares of the residual.
It helps in reading the trend of the data whether data is in increasing direction or decreasing direction or a constant.
Types of least square problem:
- Linear or ordinary least squares
- Non linear least squares
Thus, the least square is a method to find the best fit for the given data points.
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