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Introduction to Least-Squares Modeling

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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, 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.

【書誌情報】

ページ数:12ページ

サイズ:A4

商品番号:HBSP-UV0131

発行日:1996/8/20

登録日:2015/2/5

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