BROCK UNIVERSITY 
ECON 2P90: Introduction to Econometrics 
Comprehensive Revision Guide and Notes 2025 
 
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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Brock University - Introduction to Econometrics (ECON 2P90)

C$35.00

ACADEMIC YEAR 2025 - 2026

University	Brock University
Study Level	Undergraduate
Course Code	ECON 2P90
Course Name	Introduction to Econometrics
Notes Title	Comprehensive Revision Guide and Notes
Page Length	76

This concise guide for ECON 2P90: Introduction to Econometrics at Brock University covers the essential theories and step-by-step methods needed to master the course. Clear illustrations and worked examples show key concepts and their applications. After reviewing your course materials, test your understanding with an exam-style sample paper featuring full solutions and explanations that mirror the real assessment. The guide also provides accessible notes, examiner-style insights, and practice questions with answers for every key examinable topic - helping you study efficiently and work confidently toward your best possible grade.

ECON 2P90: Introduction to Econometrics covers probability, random variables, density functions, and correlation analysis, with a focus on estimation and hypothesis testing using classical linear regression models. The course includes practical applications in economics and business. Prerequisites are ECON 1P91, ECON 1P92, and MATH/STAT 1F92 or STAT 1P98. Note that credit for this course excludes credit for ECON 2P91, which will be replaced by ECON 2P90.

Key Areas of Focus:

Understand basic concepts of probability, random variables, and density functions.
Analyze and interpret correlation between variables.
Estimate and test hypotheses in classical linear regression models.
Apply simple and multiple regression analysis in various contexts.
Handle nonlinear models and transformations of variables.
Utilize dummy variables effectively in regression analysis.
Specify and refine regression models to improve accuracy.
Detect and address heteroscedasticity issues in regression models.
Manage measurement errors that affect regression analysis.

COURSE CODE	COURSE NAME
ACTG 1P01	Introduction to Financial Accounting
ACTG 2P12	Introduction to Management Accounting
ACTG 2P31	Accounting for External Reporting I
ACTG 2P40	Commercial Law
ACTG 3P33	Accounting for External Reporting III
ECON 1P91	Principles of Microeconomics
ECON 1P92	Principles of Macroeconomics
ECON 2P21	Intermediate Microeconomics I
ECON 2P90	Introduction to Econometrics
ECON 3P03	Money and Banking I
ECON 3P92	Forecasting Using Time Series Data
FNCE 2P91	Corporate Finance I
FNCE 3P93	Corporate Finance II
FNCE 4P04	Investment Analysis and Portfolio Management
FNCE 4P08	Management of Financial Institutions
FNCE 4P09	Portfolio Management
FNCE 4P16	Derivatives I
MGMT 1P93	Principles of Business
MKTG 2P91	Introduction to Marketing
STAT 1F92	Introductory Statistics
STAT 1P99	Applied Statistics for Life Sciences

Brock University - Introduction to Econometrics (ECON 2P90)

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