STAT 401

   

Regression and Analysis of Variance

A study of multiple regression including multiple and partial correlation, the extra sum of squares principle, indicator variables, and model selection techniques. Analysis of variance and covariance for multi-factor studies in completely random and randomized complete block designs, multiple comparisons and orthogonal contrasts.
Prerequisite: STAT S273 with C (2.00) or better, or equivalent (or higher); or instructor permission. STAT S400 recommended.

Sec J01:
Note: Mondays in classroom to serve as computer office hours/ help sessions (optional).
Tuition and fees: $1016 (additional charges may apply)

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