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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

Number of Required Visit(s): 0

Course Level: Graduate

Credit: 2

Term(s): Fall


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