Subject category:
Case Method and Specialist Management Disciplines
Published by:
Darden Business Publishing
Version: 20 May 2021
Revision date: 8-Jun-2021
Length: 12 pages
Data source: Published sources
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https://casecent.re/p/5055
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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.
About
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.