Whether you plot confidence limits for each scattergram or not, they are a valuable tool. If many of your questions relate to relationships, then having scattergrams of your bivariate pairs is a good idea. Put them into your notebook with your other descriptive information. Finally, there is the question of multivariate outliers. If you think of each of your variables as defining an axis, then you can plot the values for any other variable relative to 2 or more axes.
Similar cases are close together.
The outliers may be far from the regression line, and also far from the other cases. Because these are metric values, these are true distances, i.e., you can measure them with a ruler. The final preparatory phase is testing assumptions. We'll deal with that in another lesson - this one is dense enough already. To sum up, the better job that you do at this stage understanding your data, the better place you'll be in when you start subjecting them to complex analyses.