This course will cover basic concepts of linear and matrix algebra, include examples and applications familiar to students in education and social science research, and include more formal definitions. Topics will include an introduction to multivariate statistical models, systems of equations and representing systems of equations (e.g., regression models); vectors and vector operations with applications to statistics, matrices and matrix operations and applications to statistics; and procedures for solving systems of linear equations. The class will employ the MATRIX command language available in SPSS.

Students will deepen their understanding of regression and regression diagnostics from conceptual, computational, and geometric perspectives.