Digital Textbook

Why a digital textbook?

MISY 262 does not have a formal textbook, rather a collection of topics for introductory study of business analytics. Topics are updated, added, or removed as best practices change.

Below is a list of current course topics and corresponding videos intended to support enrolled students. Access data for examples on the Data page linked on your Canvas home page.

Introduction to the R Programming Language

Introduction to Linear Regression

Multicollinearity

Assumptions of Linear Regression

Introduction to Logistic Regression

Assumptions of Logistic Regression

Prediction & Cross Validation: Linear Regression

Prediction & Cross Validation: Logistic Regression

Overfitting & Variable Selection

Outliers

Interactions

Print Friendly, PDF & Email