
Introduction to Least-Squares Modeling
Pfeifer, Phillip E...
Introduction to Least-Squares Modeling
QA-0500 | Published August 20, 1996 | 12 pages Technical Note
Collection: Darden School of Business
Product Details
This note, the first in a series on regression analysis, introduces the simple linear model (one X-variable), together with least squares, as a procedure for estimating the coefficients in the model. The standard error of estimate, adjusted R-square, and standard error of the coefficients are all introduced and explained. The presentation of formulas is kept to a minimum, and an illustrative example is used throughout the note. This note replaces UVA-QA-0270.
0
Get Ahead in Class

Clear, Complete, and Concise: Avoiding t...
Lipson, Marc L.

Business Valuation in Mergers and Acquis...
Schill, Michael J....

A Brief Introduction to Macroeconomics
Murphy, Daniel

Moral Theory, Frameworks, and the Langua...
Wicks, Andrew C.; ...

Three Empirical Methods for Calculating ...
Zhang, Zhihao; Whi...

The Basics of Multivariate Regressions i...
Batova, Tatiana

Advanced Tableau Tips and Tricks
Palomba, Anthony

Digital Marketing Metrics: Measuring Wha...
Venkatesan, Rajkum...

Disruption, Response, and Transformation...
Chen, Ming-Jer; Mc...

Using AI to Expand Your Leadership Commu...
Murray, Meghan

Understanding Organizational Culture: An...
Martin, Sean; Kemp...

A Brief Introduction to Managerial Accou...
Lynch, Luann J.

How to Prototype a Prototype
Chao, Raul O.

The Strategist’s Toolkit
Lenox, Michael; Ha...

Finance People
Schill, Michael J.