Stat 501 Course Description Statistics 501, Applied Regression Course Description General Description Statistics 501 is an applied linear regression course.
Students are graduate students from a wide variety of academic disciplines other than statistics.
Statistics majors take Statistics 511, a more rigorous version of this course. Students enrolling for this course should have taken at least one other statistics course and should be conversant with the basic fundamentals of statistical testing and estimation. Specific Topics Usually Covered 1. Y at a specific X Prediction interval for a new Y Analysis of Variance partitioning of variation in Y R-squared calculation and interpretation 3. Diagnostic procedures for aptness of model Residual analyses Plots of residuals versus fits, residuals versus x, residuals versus new x Tests for normality of residuals Lack of Fit test, Pure Error, Lack of Fit concepts Transformations as solution to problems with the model 4.