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 ...
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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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