This tool helps you estimate your required sample size for statistical significance in regression analysis.

## How to use the RLS Calculator

This calculator estimates the coefficients of a linear regression model using three input data points. You need to enter three distinct data values. The calculator will then process these inputs to compute the regression line coefficients.

## How it Works

The RLS (Recursive Least Squares) estimation process involves the following steps:

- Transposing the input matrix X
- Multiplying the transposed matrix with X to get XtX
- Taking the inverse of XtX
- Multiplying the transposed matrix with the Y vector (dependent variable)
- Finally, multiplying XtX inverse with XtY to get the coefficients

## Limitations

This calculator uses a simple form of linear regression with only three input points and a straightforward matrix computation. In real-world scenarios with more data points and higher complexity, more efficient algorithms and deeper statistical methods would be recommended.