Example 13-1: Sales Section
The example data comes from a firm that surveyed a random sample of n = 50 of its employees in an attempt to determine which factors influence sales performance. Two collections of variables were measured:
- Sales Performance:
- Sales Growth
- Sales Profitability
- New Account Sales
- Test Scores as a Measure of Intelligence
- Mechanical Reasoning
- Abstract Reasoning
There are p = 3 variables in the first group relating to Sales Performance and q = 4 variables in the second group relating to Test Scores.
Download the text file containing the data here: sales.txt
Canonical Correlation Analysis is carried out in SAS using a canonical correlation procedure that is abbreviated as cancorr. Let's look at how this is carried out in the SAS Program below
Download the SAS program here: sales.sas or click on the copy icon below.
View the video explanation of the SAS code.
options ls=78; title "Canonical Correlation Analysis - Sales Data"; data sales; infile "D:\Statistics\STAT 505\data\sales.txt"; input growth profit new create mech abs math; run; proc cancorr out=canout vprefix=sales vname="Sales Variables" wprefix=scores wname="Test Scores"; var growth profit new; with create mech abs math; run; proc gplot; axis1 length=3 in; axis2 length=4.5 in; plot sales1*scores1 / vaxis=axis1 haxis=axis2; symbol v=J f=special h=2 i=r color=black; run;