ACE 562 C - Applied Regression Models I

Campus: Urbana-Champaign

Description:

Application of simple regression methods to problems in agricultural and consumer economics with emphasis on foundational probability, random variable, and distribution concepts, development of the simple, two-variable regression model; estimation of model parameters; hypothesis testing; and prediction. Course Information: Prerequisite: ACE 261 or equivalent; one of MATH 220, MATH 221, MATH 234.

Option 1

Course Level: Graduate

Credit: 2

Term(s): Fall