Key points at a glance
- Check conceptual overlap when choosing predictors.
- Read correlations and VIF in model context.
- Change the model only for a defensible reason.
Spot the overlap in the question
Example: A model of exam results includes weekly study hours and monthly study hours. They describe almost the same exposure. It becomes difficult to estimate a unique contribution from each while holding the other fixed.
Interpret diagnostics, not a magic cutoff
Review definitions, predictor relationships and VIF. VIF describes how much a coefficient’s variance is inflated by linear overlap with other predictors. No single cutoff can decide every model’s variable set.
Be careful with individual estimates
Wide intervals or sign changes across plausible models can reveal unstable coefficients. Decide whether your purpose is prediction or explaining a particular predictor. Prediction can sometimes remain useful while individual terms are uncertain.
Respond with subject-matter reasoning
Remove truly duplicate measures, combine variables only when theory supports it, or revise the question. Check how conclusions change. Blind VIF-based deletion may remove an essential control variable.
Final submission context
Formal details can feel like a separate writing task, but they matter just as much for a printed submission. Anything missing, misplaced or inconsistently formatted in the document will also appear in the bound copy.
Use this guide together with your cover page, table of contents, page numbers, source notes and appendices. Prepare the final PDF for printing and binding only after the complete file has been checked.
Practical check before PDF export
- Do headings, chapter structure and page numbers match?
- Are sources, figures and tables included completely?
- Are required elements such as declarations, appendices or the cover page included where required?
- Did you open and check the final PDF after exporting it?
Checklist
- Predictors justified conceptually.
- Overlap and VIF inspected.
- Coefficient intervals considered.
- Model changes documented.
Common mistakes
- Using VIF as an automatic delete rule.
- Presenting unstable terms as clear individual effects.
- Confusing predictor correlation with causality.
Prepare the finished thesis for submission
Once the content and university requirements are checked, review your PDF and the available printing and binding options.
Review printing optionsRelated content
Explore related guidance on thesis structure, sources, formatting and final submission.
Frequently asked questions
What counts as a high VIF?
It signals more variance inflation; interpret against your purpose and coefficient uncertainty.
Does it invalidate regression?
Not automatically, but individual coefficients can be hard to interpret.
Should I remove a predictor?
Only after substantive review and documentation of the effect.