Regression Analysis for Internal Audit

A Cohomprehensive Tool for Data Analyis

What is Regression Analysis?

Regression Analysis is a statistical technique used to model relationships between operational variables and identify observations that behave differently from expected patterns.

The Underlying Principle

Operational processes often generate predictable behavioural patterns. Regression Analysis helps auditors model these relationships and identify deviations that may require additional investigation.

Why Auditors Use It

Regression Analysis helps auditors focus their attention on unusual observations, operational anomalies and potential risk indicators that may not be visible through traditional review techniques.

A Practical Tool for Regression Analysis in Internal Audit

This section provides auditors with practical regression analysis tools designed to support analytical review activities, anomaly detection and operational trend evaluation.
By combining statistical modelling, prediction bands and guided analytical interpretation, the platform helps auditors identify unusual operational behaviour and potential audit red flags.

How It Works:

The process is designed to be straightforward:

• Upload Your Data: IImport Excel files containing operational, financial or transactional datasets.
• Suggested Model Selection: TThe platform evaluates eligible regression models and proposes the statistically strongest candidate.
• Perform the Analysis: Focus on high-risk areas for further audit testing.

The objective of Regression Analysis is not to replace professional judgement, but to help auditors focus investigative effort on observations showing unusual or potentially relevant operational behaviour.