How do you find the equation of the line of best fit?

To find the equation of the line of best fit, you typically use the least squares method, which minimizes the sum of the squared differences between the observed values and the values predicted by the line. Begin by plotting your data points on a scatter plot and then calculate the slope (m) and y-intercept (b) of the line using the formulas: ( m = \frac{N(\sum xy) - (\sum x)(\sum y)}{N(\sum x^2) - (\sum x)^2} ) and ( b = \frac{\sum y - m(\sum x)}{N} ), where N is the number of data points. The resulting equation will be in the form ( y = mx + b ). You can also use statistical software or a calculator to automate this process.