SIMON FRASER UNIVERSITY 
ECON 333: Statistical Analysis of Economic Data 
Final Examination Guide and Notes 2026 
 
- Part 01: Revision Notes  
- Part 02: Sample Final Examination Paper 
- Part 03. Suggested Solutions to Final Exam Paper 
- Part 04. Final Examination - Hints and Tips 
 
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Simon Fraser University - ECON 333: Statistical Analysis of Economic Data

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ACADEMIC YEAR 2025 - 2026

University	Simon Fraser University
Study Level	Undergraduate
Course Code	ECON 333
Course Name	Statistical Analysis of Economic Data
Notes Title	Final Examination Guide and Notes
Format	PDF
Page Length	76

A comprehensive and easy-to-understand set of notes covering all lecture content and examinable topics for ECON 333: Statistical Analysis of Economic Data, Simon Fraser University. These color-coded notes are organized in an understandable way. They offer vital information about exam format, what will be on the exam, and key concepts you should focus your studies on. Concepts and principles are not simply named or described in passing but are described thoroughly. You can use these notes as a reference, to understand the topics better and improve your grades in the final examination!

ECON 333: Statistical Analysis of Economic Data at Simon Fraser University introduces students to statistical analysis for economic data, combining economic theory, mathematics, and statistical tools, collectively known as econometrics. The course emphasizes linear regression as the primary method for analyzing relationships between variables in economic datasets. It covers topics such as probability, single and multiple linear regression, binary variables, nonlinear regression, and time series analysis, focusing on both application and interpretation of these techniques in economic modeling and hypothesis testing.

✔ Learning Outcomes:

Probability and Statistics:
- Understanding of basic probability concepts.
- Ability to calculate and interpret descriptive statistics.
- Familiarity with probability distributions and their applications.
Single Linear Regression and its Uses:
- Mastery of simple linear regression model.
- Interpretation of regression coefficients and significance tests.
- Application of single linear regression in real-world scenarios.
Multiple Linear Regression and its Uses:
- Proficiency in extending regression to multiple predictors.
- Handling multicollinearity issues.
- Application of multiple linear regression in complex data analysis.
Binary/Dummy Variables:
- Knowledge of how to handle categorical variables in regression.
- Creation and interpretation of dummy variables.
- Application of binary/dummy variables in regression models.
Nonlinear Regression:
- Understanding nonlinear relationships in data.
- Application of nonlinear regression models.
- Interpretation and evaluation of nonlinear regression results.
Time Series Regression:
- Understanding time series data and its characteristics.
- Application of regression techniques to time series forecasting.
- Interpretation and evaluation of time series regression models.

COURSE CODE	COURSE NAME
BUS 232	Data and Decisions I
BUS 233	Introduction to Business Law and Ethics
BUS 251	Financial Accounting I
BUS 272	Behaviour in Organizations
BUS 312	Introduction to Finance
BUS 315	Investments
BUS 316	Derivative Securities
BUS 320	Financial Accounting: Assets
BUS 321	Financial Accounting: Equity
BUS 322	Intermediate Managerial Accounting
BUS 341	Fundamentals of Marketing
BUS 410	Financial Institutions
BUS 413	Corporate Finance
ECON 103	Principles of Microeconomics
ECON 105	Principles of Macroeconomics
ECON 201	Microeconomic Theory I: Competitive Behavior
ECON 233	Introduction to Economic Data and Statistics
ECON 333	Statistical Analysis of Economic Data
STAT 270	Introduction to Probability and Statistics
STAT 485	Applied Time Series Analysis

Simon Fraser University - ECON 333: Statistical Analysis of Economic Data

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