# 13.2 - Example: Sales Data

13.2 - Example: Sales Data

## Example 13-1: Sales

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
• Creativity
• Mechanical Reasoning
• Abstract Reasoning
• Mathematics

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.

#### Using SAS

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.


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;
View the video explanation of the SAS code.

  Link ↥ Has Tooltip/Popover Toggleable Visibility