Correlation satisfaction-loyalty
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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.
Correlation satisfaction-loyalty
- 1. Correlation
- 2. Click Analyze, choose Correlate, choose bivariate
- 4. Options
- 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, itll give you better results. Under Descriptive Statistics, click Crosstabs