Testing Research Hypotheses Using Multiple Linear Regression (Paperback)

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Multiple regression is becoming more wide-ly used as the statistical technique for answering research hypotheses. This is so for several reasons: 1) the technique is extreme-ly versatile; 2) the computer has made the technique more available to researchers; and 3) texts such as the authors' earlier work are making the technique more available to re-searchers. The statistical technique of mul-tiple regression allows the inclusion of numerous continuous (quantitative) and categorical (qualitative) variables in the prediction of some criterion. Appendixes contain a multiple regression computer program and data on which the problems are based; a discussion of the simi-larities and differences between analysis of variance and multiple regression; and a computer program providing the regression solution to natural language research hy-potheses.

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Product Description

Multiple regression is becoming more wide-ly used as the statistical technique for answering research hypotheses. This is so for several reasons: 1) the technique is extreme-ly versatile; 2) the computer has made the technique more available to researchers; and 3) texts such as the authors' earlier work are making the technique more available to re-searchers. The statistical technique of mul-tiple regression allows the inclusion of numerous continuous (quantitative) and categorical (qualitative) variables in the prediction of some criterion. Appendixes contain a multiple regression computer program and data on which the problems are based; a discussion of the simi-larities and differences between analysis of variance and multiple regression; and a computer program providing the regression solution to natural language research hy-potheses.

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Product Details

General

Imprint

Southern Illinois University Press

Country of origin

United States

Release date

June 1975

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Authors

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Dimensions

250 x 156 x 32mm (L x W x T)

Format

Paperback

Pages

587

ISBN-13

978-0-8093-0755-5

Barcode

9780809307555

Categories

LSN

0-8093-0755-3



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