Discusses the use and interpretation of multiple regression analysis with computer programs and presents a flow chart of the process. A general explanation of the flow chart is provided, followed by an example showing the development of a linear equation which could be used in estimating manufacturing overhead cost. (Author/LRW)

Describes a course which uses integrated electronic spreadsheets for computer assisted instruction in teaching multiple regression analysis. The process of implementing the method is explained, tips on worksheet arrangement are given, and advantages of using electronic spreadsheets are delineated. (Author/MBR)

The number of regression studies being employed in sex discrimination cases is increasing. The need for caution in the case of multiple regression must be emphasized. Statistical concerns in sex discrimination cases are highlighted. (MLW)

Maintains that the equal marginal value principle may not be optimal in the analysis of the cost-effectiveness of policies to reduce auto emissions, the economics of garbage disposal, and the economics of pollution abatement. Argues that examining these exceptions can help students understand the equal marginal value principle. (MJP)

Investigates the effects of field dependence-independence, gender, previous musical experience, and general music ability on music listening. College students recorded their observations about music excerpts. Weeks later they used these observations to identify the excerpts. Multiple regression analyses examined the contributions of subject…

Maintains that there is an inconsistency in the regression analysis of the data presented in Maureen J. Lage and Michael Treglia's 1996 article, "The Impact of Integrating Scholarship on Women into Introductory Economics." The authors admit the error, correct it, and report no difference in their original conclusions. (MJP)

Rectifies the unsatisfactory textbook treatment of the finite-sample proprieties of estimators of regression models with a lagged dependent variable and autocorrelated disturbances. Maintains that the bias of the ordinary least squares estimator is determined by the dynamic and correlation effects. (MJP)