STAT 170: Regression and ANOVA

STAT 170A

Description

Topics include simple and multiple linear regression, scatter-plots, and point and interval estimation. Addresses prediction, testing, calibration, interpretation, and practical applications of multiple regression. Explores simple, partial, and multiple correlation; variable selection methods; diagnostic procedures; and regression for longitudinal data.

Quarters

Fall 2019

Fall 2020

STAT 170B

Description

Topics include principles of design; completely randomized designs; and one-way analysis of variance. Covers complete block designs and two-way analysis of variance; multiple comparisons; and complete factorial experiments. Explores fixed, random, and mixed models; split-plot designs; nested designs; analysis of covariance; sample size determination; and power analysis.

Quarters

Winter 2020

Winter 2021

Isaac Quintanilla Salinas
Isaac Quintanilla Salinas
PhD Candidate in Applied Statistics

My research focuses on developing survival models to better understand trends.