The student intends to run a simple linear regression where the variate Life Satisfaction will be regressed on Meaning in Life.

WHAT IS THE RIGHT WAY TO RUN OUTLIER ANALYSIS, given this scenario?

Should the student run an outlier detection procedure on each variate? How shall she consolidate the results if consequently, there will be two outlier detection outcomes (noting that a participant in the sample might be considered an outlier in one variate but not in the other)?

Should she run an outlier detection by combining all twelve variables? But what is the logic behind this approach?