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Module 04

Regression, Data Analysis and Model Risk

Use regression, time-series evidence, simulation and data controls without overstating model conclusions.

Foundationslearning phase
20assessment questions
4learning objectives
What you will learn

Use regression, time-series evidence, simulation and data controls without overstating model conclusions.

Complete the learning objectives, review the related Hub-IB tools and finish the 20-question module assessment.

  1. 04.1
    Interpret regression output

    Questions tagged to this objective move from recognition through application, analysis and integrated judgment.

  2. 04.2
    Recognize time-series risks

    Questions tagged to this objective move from recognition through application, analysis and integrated judgment.

  3. 04.3
    Evaluate model fit

    Questions tagged to this objective move from recognition through application, analysis and integrated judgment.

  4. 04.4
    Control data and model risk

    Questions tagged to this objective move from recognition through application, analysis and integrated judgment.

Questions 01-04Beginner

Concept recognition and clear explanation.

Questions 05-10Intermediate

Calculation and direct application.

Questions 11-16Advanced

Analysis, comparison and diagnosis.

Questions 17-20Expert

Integrated evidence and professional judgment.

Module assessment

Twenty original questions with immediate explanations.

Your best result is stored on this device after an attempt.

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