UNIVERSITY OF OTTAWA 
MAT 3375: Regression Analysis 
Comprehensive Study and Exam Preparation Guide 2025 
 
Part 01: Revision Notes 
Part 02: Sample Examination Paper 
Part 03: Detailed Solutions and Explanations 
Part 04: Proven Exam Strategies and Tips 
 
The 24/7 Online Support You Deserve 
Need to reach out to us with questions or for help? You’ll connect with a private tutor who is extremely passionate about the course to provide assistance and help ensure that you’re on the right track to graduating. 
 
Looking for more study resources? 
Find out about all the services and resources available for students at the University of Ottawa

University of Ottawa - Regression Analysis (MAT 3375)

C$35.00

ACADEMIC YEAR 2024 - 2025

University	University of Ottawa
Department	Mathematics and Statistics
Course Code	MAT 3375
Course Name	Regression Analysis
Notes Title	Comprehensive Study and Exam Prep. Guide
Page Length	76

This study and exam prep. guide for MAT 3375: Regression Analysis at the University of Ottawa covers all the essential theories and steps needed to master the course content. The guide features illustrations and worked examples that demonstrate the key methods for applying these theories. Once you have reviewed your course materials, you can take a sample exam complete with solutions and detailed explanations, specifically designed to replicate the real test-taking experience. With this guide, you can aim for the best grade using accessible notes, examiner advice, and comprehensive questions and answers on every examinable topic.

This course, MAT 3375: Regression Analysis focuses on modeling relationships between dependent and independent variables using simple and multiple linear regression models. Key topics include estimation and hypothesis testing with least squares and likelihood methods, model diagnostics, goodness-of-fit assessment, and variable selection to identify the best model fit. The course also covers non-linear regression, transformations, weighted regression, and generalized least squares, equipping students with practical skills in data analysis.

Prerequisites for this course are MAT 1341, MAT 2371, and one of MAT 2375, MAT 2378, or MAT 2379.

COURSE CODE	COURSE NAME
ADM 1100	Introduction to Business
ADM 1340	Financial Accounting
ADM 2303	Statistics for Management
ADM 2320	Marketing
ADM 2341	Managerial Accounting
ADM 2342	Intermediate Accounting I
ADM 3340	Intermediate Accounting II
ADM 3345	Taxation I
ADM 3350	Corporate Finance
ADM 3351	Fixed Income Investments
ADM 3352	Portfolio Management
ADM 3360	Business Law
ADM 4351	Options and Futures
ADM 2350	Financial Management
ECO 1102	Introduction to Macroeconomics
ECO 1104	Introduction to Microeconomics
ECO 2144	Microeconomic Theory I
ECO 2145	Microeconomic Theory II
MAT 2375	Introduction to Statistics
MAT 3375	Regression Analysis
MAT 3379	Introduction to Time Series Analysis

University of Ottawa - Regression Analysis (MAT 3375)

INFORMATION

COURSE DESCRIPTION

RELATED COURSES