STAT 331 – LEC,TUT 0.50 – Course ID: 008873 – Applied Linear Models

Modeling the relationship between a response variable and several explanatory variables (an output-input system) via regression models. Least squares algorithm for estimation of parameters. Hypothesis testing and prediction. Model diagnostics and improvement. Algorithms for variable selection. Nonlinear regression and other methods. [Offered: F,W,S] Prereq: MATH 235 or 245, (STAT 231 with a grade of at least 60%) or STAT 241 or (SYDE 212 with a grade of at least 70%). Antireq: ECON 321, STAT 304, 311, 321, 324, 361, 371, 373, SYDE 334




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