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Technical note
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Reference no. UVA-QA-0500
Published by: Darden Business Publishing
Originally published in: 1996
Version: 20 May 2021
Revision date: 8-Jun-2021
Length: 12 pages
Data source: Published sources

Abstract

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.

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Abstract

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.

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