The Basics of Multivariate Regressions i...
Batova, Tatiana
The Basics of Multivariate Regressions in Excel
BC-0311 | Published August 26, 2024 | 4 pages Technical Note
Collection: Darden School of Business
Product Details
This technical note provides a comprehensive guide to conducting multivariate linear regressions using Excel. It covers essential concepts such as setting up the regression model, selecting variables, and interpreting the results. Key outputs from Excel’s regression tool, including coefficients, standard errors, t-stats, p-values, and R-squared, are explained in detail. Additionally, the document highlights the limitations of Excel for advanced statistical analysis. The technical note uses example data from the case “Flying Around Real Estate Development: Persuading with Data Visualizations” (UVA-BC-0285); the case itself is optional for those who wish to read more.
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.