Course Catalog Description
STAT 225: Linear Models and Statistical Software
This course develops further the ideas and techniques that were introduced in STAT 200 relative to regression modeling and experimental design, understood as instances of a matrix linear model. In addition, the student becomes familiar with at least one leading statistical package for performing the intensive calculations necessary to analyze data. Topics include linear, non-linear, and multiple regression, model-building with both quantitative and qualitative variables, model-checking, logistic regression, experimental design principles, ANOVA for one-, two-, and multiple factor experiments, and multiple comparisons.
Prerequisites: STAT 200, MATH 145 or 151, and MATH 185.
Cross-listed as MATH 225