What is the first step in graphing a least squares regression line?

The first step in graphing a least squares regression line involves finding the mean and standard deviation of each x and y value. This foundational step is crucial because it helps in understanding the distribution of the data points. By calculating the mean, you can identify the central tendency of your data, while the standard deviation provides insight into the variability or spread of the data around the mean.

Having this information is essential for the subsequent steps of calculating the slope and intercept of the regression line accurately. It also forms the basis for evaluating how well the regression line fits the data. This preliminary statistical analysis sets the stage for a more effective modeling process, ultimately leading to a more accurate representation of the relationship between the variables.