A practical managerial approach to advanced simple and multiple regression analysis, with application in finance, economics and business, including a review of probability theory, an introduction to methods of least squares and maximum likelihood estimation, autoregressive forecasting models and analysis of variance. 

Key Areas of Focus:

• Understand and apply probability theory in business contexts.

• Analyze stock prices using lognormal distribution.

• Construct and interpret normal probability plots.

• Conduct confidence intervals and hypothesis tests.

• Perform simple and multiple linear regression analyses.

• Identify and resolve multicollinearity in regression models.

• Use time series forecasting methods, including ARIMA models.

• Design and analyze experiments using ANOVA techniques.

• Apply logistic regression for binary outcome modeling.

Prerequisite: MGCR 271.

COURSE CODE

COURSE NAME

ACCT 351

Intermediate Financial Accounting 1

ACCT 352

Intermediate Financial Accounting 2

ACCT 361

Management Accounting

CACF 210 

Introductory Financial Accounting

CACF 215

Introductory Managerial Accounting

CACF 310

Intermediate Financial Reporting 1

CACF 325

Intermediate Financial Reporting 2

BUSA 364

Business Law 1

ECON 208

Microeconomic Analysis and Applications

ECON 230D (1&2)

Microeconomic Theory

ECON 209

Macroeconomic Analysis and Applications

FINE 441

Investment Management

FINE 342

Corporate Finance

FINE 442

Capital Markets and Institutions

ECON 337

Introductory Econometrics 1

FINE 443

Applied Corporate Finance

FINE 448

Financial Derivatives

MATH 324

Statistics

MGCR 211

Introduction to Financial Accounting

MGCR 222

Introduction to Organizational Behaviour

MGCR 271

Business Statistics

MGCR 341

Introduction to Finance

MGCR 352

Principles of Marketing

MGSC 372

Advanced Business Statistics

MATH 423

Applied Regression