Scatter Plots (also called scatter diagrams) are used to investigate the possible relationship between two variables that both relate to the same "event." A straight line of best fit (using the least squares method) is often included.
Things to look for:
There is a maxim in statistics that says, "Correlation does not imply causality." In other words, your scatter plot may show that a relationship exists, but it does not and cannot prove that one variable is causing the other. There could be a third factor involved which is causing both, some other systemic cause, or the apparent relationship could just be a fluke. Nevertheless, the scatter plot can give you a clue that two things might be related, and if so, how they move together.
For scatter plots, the following statistics are calculated:
Mean X and Y: | the average of all the data points in the series. |
Maximum X and Y: | the maximum value in the series. |
Minimum X and Y | the minimum value in the series. |
Sample Size | the number of values in the series. |
X Range and Y Range | the maximum value minus the minimum value. |
Standard Deviations for X and Y values | Indicates how widely data is spread around the mean. |
Line of Best Fit - Slope | The slope of the line which fits the data most closely (generally using the least squares method). |
Line of Best Fit - Y Intercept | The point at which the line of best fit crosses the Y axis. |