The Basics of Multivariate Regressions in Excel

By Batova, Tatiana

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.

Collection: Darden University of Virginia (USA)

Ref: DARDEN-BC-0311-E

Format: PDF

Number of pages: 4

Publication Date: Aug 26, 2024

Language: English

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The Basics of Multivariate Regressions in Excel

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The Basics of Multivariate Regressions in Excel

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The Basics of Multivariate Regressions in Excel

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