The purpose of this report is to describe a process for creating unique multiple linear regression problems for each student. Three formulas were utilized to define intercorrelations between variables. (Editor)

A method is developed for testing a priori multiple regression models. The method allows one to specify in advance as many unstandardized or standardized coefficients as one wants to and allows the remaining slopes to be free to vary. (Author/PN)

Paper reviews the test for regression lines and provides equations for expanding this test to regression planes. (Author)

Common factor scores were compared to unfactored data-level variables as predictors in terms of the correlation of a criterion with the predicted value in multiple regression equations applied to replication (cross-validation) samples. (Editor)

The Coleman Report demonstrated that family background is correlated with achievement in school. This research examined this relationship for different sexes and social classes. Family background included whether or not a child was living with both natural parents as well as the ordinal position of the child and the number of children in the…