Statistical SEO: questions.

I was recently asked about my statistical knowledge in SEO.

I have experience in technical SEO and some foundation in statistical SEO.

I recently reviewed what I already knew and used regularly in order to better prepare for potential interview questions.

Here’s what I’ve worked with so far:

• Segmentation modeling (based on a user-defined value p, using the mean and standard deviation, z-score + mean/std dev)
• Simple linear regression with handling of complex cases (inverse transformation, log, square root)
• Multiple linear regression (standard error, F-statistic)
• Collinearity and distribution coefficients
• Statistical significance (p-value)

Based on ChatGPT’s recommendation, I’ve decided to go further and explore:

• Stepwise regression
• Partial variance analysis

Are there any other tools or methods I should look into, or is it more about understanding how to interpret the results correctly?

If I may ask, what kind of questions have you been asked so far?
On my end, it's mostly been about tool management and technical SEO knowledge, not so much about statistical SEO or case study analysis.

Thanks for the help.

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