# What does least-squares mean?

The least-squares method is used in statistics.

## Answer: The least-squares method is used in statistics to find the line of best fit to the given data.

Let's understand the least-squares method.

**Explanation:**

The least-squares method is used in statistics to find the line of best fit to the given data. The line is of the form y = mx + b. The line so obtained using the least-squares method is called the regression line. The main aim of this method is to minimize the sum of the squares of errors as much as possible. That's why this method is known as the "Least Squares Method".

Consider the set of points: (1, 1), (-2,-1), and (3, 2).

You can use the least-squares calculator to find the line of best fit for a given data set within a few seconds.

Using this method, the equation of regression line is y = 0.61x + 0.26

### Thus, the least-squares method is used in statistics to find the line of best fit to the given data.

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