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