This document discusses correlation analysis and provides instructions on how to perform bivariate correlation in a statistics program. It analyzes the correlation between two variables, satisfaction and loyalty, finding a negative correlation where increased satisfaction is linked to decreased loyalty. It questions whether this negative correlation makes logical sense. The document also provides an example of correlating sales and fuel efficiency data and notes that crosstabulation may provide better results than correlation analysis alone.

1. Correlation

2. Click ‘Analyze’, choose ‘Correlate’,
choose ‘bivariate’

3. Choose the variables

4. Options

5. Produce Output

6. • The correlation reported
in the table is negative,
although different from 0
because the p-value of
0.062 is just a little
above 0.05.
• Negative correlation
suggests that if
satisfaction increases,
loyalty decreases. In real
life scenario, does this
make sense?

7. An example of correlation data
• Sales in thousands and Fuel efficiency as
analysis variables.

8. Whereas if you run Crosstabulation, it’ll
give you better results. Under
‘Descriptive Statistics’, click ‘Crosstabs’