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Cohen, Patricia – Multiple Linear Regression Viewpoints, 1978
Commentary is presented on the preceding articles in this issue of the journal. Critical commentary is made article by article, and some general recommendations are made. (See TM 503 664 through 670). (JKS)
Descriptors: Data Analysis, Mathematical Models, Multiple Regression Analysis, Research Design
Peer reviewed Peer reviewed
Ryan, Thomas P. – Multiple Linear Regression Viewpoints, 1978
The problem of selecting regression variables using cost criteria is considered. A method is presented which approximates the optimal solution of one of several criterion functions which might be employed. Examples are given and the results are compared with the results of other methods. (Author/JKS)
Descriptors: Cost Effectiveness, Data Analysis, Mathematical Models, Multiple Regression Analysis
Peer reviewed Peer reviewed
Jordan, Thomas E. – Multiple Linear Regression Viewpoints, 1978
The use of interaction and non-linear terms in multiple regression poses problems for determining parsimonious models. Several computer programs for using these terms are discussed. (JKS)
Descriptors: Computer Programs, Data Analysis, Mathematical Models, Multiple Regression Analysis
Peer reviewed Peer reviewed
Williams, John D. – Multiple Linear Regression Viewpoints, 1978
Path analysis is a data analytic technique for estimating the strengths of hypothesized relationships among a group of variables for a particular sample. Strategies for the use of path analysis are discussed in detail in this extensive article. (JKS)
Descriptors: Critical Path Method, Data Analysis, Hypothesis Testing, Mathematical Models
Peer reviewed Peer reviewed
Wolfle, Lee M. – Multiple Linear Regression Viewpoints, 1979
With even the simplest bivariate regression, least-squares solutions are inappropriate unless one assumes a priori that reciprocal effects are absent, or at least implausible. While this discussion is limited to bivariate regression, the issues apply equally to multivariate regression, including stepwise regression. (Author/CTM)
Descriptors: Analysis of Variance, Correlation, Data Analysis, Least Squares Statistics