Points out reasons for using graphical methods to teach simple and multiple regression analysis. Argues that a graphically oriented approach has considerable pedagogic advantages in the exposition of simple and multiple regression. Shows that graphical methods may play a central role in the process of building regression models. (Author/LS)

The determinants of Scholastic Aptitude Test scores are estimated for 1982 in a regression analysis correcting for the proportion of students taking the test. Schooling variables and statewide graduation standards proved insignificant. Demographic variables (family size and education levels) proved significant and help explain SAT score decline in…

Critiques William Becker, William Greene, and Sherwin Rosen's review of the research regarding the teaching and learning of high school economics. Calls for sharper definitions of research models to improve focus. Explains a distinction between stock and flow models, and asks for elaboration on topics covered. Suggests examining textbook…

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)

This report examines the effects of both student and school characteristics on mathematics and science achievement levels in the third, seventh, and eleventh grades using data from the 1985-86 National Assessment of Educational Progress (NAEP). Analyses feature hierarchical linear models (HLM), a regression-like statistical technique that…