# 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.

Download the text file containing the data here: sales.txt

#### 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.