UNIVERSITY OF CALGARY 
STAT429: Linear Models and Their Applications 
Comprehensive Revision Guide and Notes 2026 
 
Part 01: Revision Notes 
Part 02: Sample Examination 
Part 03: Suggested Solutions to Exam Paper 
Part 04: Study Tips for Students 
 
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University of Calgary - STAT429: Linear Models and Their Applications

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ACADEMIC YEAR 2025 - 2026

University	University of Calgary
Study Level	Undergraduate
Course Code	STAT429
Course Name	Linear Models and Their Applications
Notes Title	Comprehensive Revision Guide and Notes
Page Length	76

Achieve success in STAT429: Linear Models and Their Applications at the University of Calgary with the most comprehensive study guide available. This essential resource supports your learning and revision throughout the course, offering detailed notes, exam-style questions, and expert advice on avoiding common pitfalls. Thoroughly updated, it covers all course topics and includes expertly written examples, practice questions, and sample exam papers with answer keys, ensuring you can confidently tackle any assessment and excel in your studies.

STAT429: Linear Models and Their Applications covers key topics in multiple linear regression, including parameter estimation, confidence intervals, hypothesis testing, and residual analysis. The course explores model selection techniques like best and stepwise regression, as well as variable transformation and non-linear regression. Prerequisites include STAT323 or DATA305, and MATH211 or MATH213.

Key Areas of Focus:

Understand and apply multiple linear regression models.
Estimate model parameters accurately.
Conduct simultaneous confidence intervals and hypothesis testing.
Analyze residuals and identify outliers in data.
Use and evaluate different model selection techniques, like best regression and stepwise regression.
Apply transformations to variables and perform non-linear regression.
Forecast using linear models.
Select important variables in high-dimensional data using linear regression.

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University of Calgary - STAT429: Linear Models and Their Applications

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