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The upper-left to lower-right diagonal elements of the table will be exactly 1.00, because any variable is perfectly correlated with itself. The key output of Proc Corr is a Correlation Matrix, a table that gives, for every pair of variables selected for analysis:  the correlation coefficient (the "r" values),  the p-value (for the hypothesis test H0: ρ = 0, H1: ρ ≠ 0), and  the number of observations used to calculate the correlation coefficient. Remember, the variables must be numerical measurement variables. To have SAS run correlations between all pairs in a list of variables, simply list all the variables on the "var" line of the proc corr command. “ods graphics” is the graphics part of SAS’s “output delivery system.” The ods commands are optional, but they make the output graphs look much nicer. To calculate the value of r for these variables, use the following SAS commands: ods graphics on proc corr data = dataset01 plots=matrix(histogram nvar=all nwith=all) var PopCens Age65per10000 run ods graphics off The “ods graphics on ” and “ods graphics off ” tell SAS to make the output graphs prettier. For example, suppose we have variables “PopCens” and “Age65per10000” in dataset01. Proc Corr - Correlation Analysis in SAS To do correlation analysis in SAS, use PROC CORR. For example, if you want to graph GDP and InflationRate both against Time on the same graph, you can use the following commands: proc gplot data=dataset01 plot GDP*Time InflationRate*Time / Overlay run For example, if you had variables GDP, InflationRate and Time in your dataset, you could make several different plots: proc gplot data=dataset01 plot GDP*Time plot InflationRate*Time plot GDP*InflationRate run You can graph two or more Y variables on the same graph with the "Overlay" option. For example, if we have two variables GDP and Time in dataset01, we can create a scatter plot with GDP on the vertical (Y) axis and Time on the horizontal (X) axis with the following commands: proc gplot data=dataset01 plot GDP*Time run You can include multiple “gplot” statements between the "proc gplot" and "run" commands if you want to make more than one plot. Proc Gplot is used to create scatter plots in SAS. For example, a graph that shows the (X,Y) ordered pairs from a data set with variables X and Y is a scatter plot. Proc Gplot - Scatter Plots in SAS Scatter Plots are graphs that show the corresponding values for two or more variables. SAS - Scatter Plots (X-Y Graphs) and Correlation Analysis Proc Gplot and Proc Corr UNC-Wilmington Department of Economics and Finance