APPLIED REGRESSION ANALYSIS

STAT 333

Course Description

An introduction to regression with emphasis on the practical aspects. Topics include: straight-line model, role of assumptions, residual analysis, transformations, multiple regression (with some use of matrix notation), multicollinearity, subset selection, and a brief introduction to mixed models.

Prerequisties

(STAT 240 , STAT 301 , 302, STAT 312 , STAT 324 , STAT 371 , ECON 310 , BME 325 , or ISYE 210 ) and (STAT 327 or STAT 303 , or concurrent enrollment)

Satisfies

ACTSCI 640 , STAT 575 , COMPSCI 566 , STAT 456 , STAT 461 , STAT 411 , STAT 421 , ACTSCI 300 , ACTSCI 654 , STAT 433 , ECON 570 , GENBUS 656 , ECON 695 , ACTSCI 655 , STAT 349 , FINANCE 325 , STAT 443 , ECON/FINANCE 320 , ME 536 , STAT 351 , ACTSCI 650 , COMPSCI 541 , ACTSCI 657 , COMPSCI/STAT 471 , FINANCE 330 , BMI/STAT 620 , and ACTSCI 652

Credits

Offered

Fall, Spring, Summer

Grade Point Average

3.36

1.15% from Historical

Completion Rate

100%

4.07% from Historical

A Rate

32.56%

-28.35% from Historical

Class Size

-14.53% from Historical

2025 Fall Grade Distribution

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

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