STAT 330
Statistical Modeling 2
Statistics
College of Physical and Mathematical Sciences
Course Description
Regression, transformations, residuals, indicator variables, variable selection, logistic regression, time series, observational studies, statistical software.
When Taught
Fall and Winter
Min
3
Fixed
3
Fixed
3
Fixed
0
Recommended
STAT 250 and MATH 113 are strongly recommended as a prerequisites or concurrent enrollment.
Title
Transformations
Learning Outcome
<p>Apply appropriate transformations to variables to improve agreement with regression assumptions</p>
Title
Residual Diagnostics
Learning Outcome
<p>Use residuals and influence diagnostics to assess model fit, evaluate agreement with regression assumptions, and identify outliers and influential observations</p>
Title
Software Proficiency
Learning Outcome
<p>Implement the basic steps of statistical modeling from this course in both R and Python</p>
