Two Related Variables
Bivariate data analysis is very important to all biologists. A measure of importance is how often such analyses can be found in publications. Most biological publications contain some sort of analysis of bivariate data.
The techniques required for doing a thorough analysis are not particularly difficult. Almost always you will properly form the data matrix by intuition alone. The SAS procedures build on what you know from univariate data analysis. The two new procedures that you will use are quite easy to specify.
The difficulty in doing bivariate analyses is that some judgement is required in the interpretation of the results. For example, you have to look for patterns in some kinds of plots and these patterns are only generally defined. Or you have to decide if you are warranted in adding a term to an equation to improve the fit. In this case, you can't make such decisions in the absence of experience in your particular biological discipline.
As a result, your skills in analyzing bivariate data will grow as you gain experience.
It is time to get started on what should become a career-long developmental process.