This video explains the concept of the least squares regression line and its importance in finding the best fit for scatter plots. It demonstrates how residuals, which represent the distance between the actual values and the predicted values on the line, can be analyzed to determine the line that provides the best fit. The video also highlights the significance of squaring the residuals to eliminate negative values and calculate the sum of squared residuals as a measure of overall fit.