2019 SpringSTAT 410 Section 01, 4 units

Studies the use of explanatory, confirmatory, and predictive linear models in data-driven decision making. Includes simple linear regression, multiple linear regression, variable selection methods, model comparison methods, generalized linear model, logistic regression, Poisson regression, principle component analysis, times series models, and residual analysis using statistical computing packages. (Prereq: STAT 250 or MATH 320 or STAT 320 or STAT 325 or STAT 330 or STAT 395)