STA 671 - REGRESSION AND CORRELATION

College of Arts & Sciences

Credits: 2

Simple linear regression, elementary matrix algebra and its application to simple linear regression; general linear model, multiple regression, analysis of variance tables, testing of subhypotheses, nonlinear regression, step-wise regression; partial and multiple correlation. Emphasis upon use of computer library routines; other special topics according to the interests of the class. Lecture, three hours per week; laboratory, two hours per week for seven and one half weeks. Offered the first or second half of each semester.

Prerequisite(s):
Prereq: STA 570 or STA 580.