What is the process of finding the line of best fit?

The process of finding the line of best fit involves using statistical methods to determine the linear equation that best represents the relationship between two variables in a dataset. This is typically done using the least squares method, which minimizes the sum of the squared differences between the observed values and the values predicted by the line. The resulting equation can be expressed in the form (y = mx + b), where (m) is the slope and (b) is the y-intercept. Once calculated, the line can be plotted to visually assess the fit of the model to the data.