Ojective: To introduce the student to the structure, applications, specification, estimation and interpretation of linear regression models

Time and Place: T, TH 9:30 - 10:45 a.m., 310 Edwards Hall

Instructor:         J.C.O. Nyankori, Room 251 Barre Hall 656-5788
                           E-mail Jnynkr@CLEMSON.EDU

Office Hours:    8:00-11:30 daily or by appointment.

Textbook:         Applied Regression Analysis for Business and Economics
                                by Terry E. Dielman, Third Edition, 2001.

Attendance Policy: University attendance policy applies.

Examinations: Four equally weighted examinations (Two hourly exams, midterm and final examination). There will be no extra work.

Course Grades: 90 - 100 =A; 80 - 89 = B; 70 - 79 = C; 60 - 69 = D; Under 60 = F

Course Outline

	Topic
	Introduction
	Regression Models; Structure, Application, Specification, Estimation and Interpretations
	Hypothesis tests
	Hour Examination
	Data: Cross section and Time series
	SAS and regression analysis
	Data Transformation - IF THEN statement
	Data Sub-Setting - IF THEN statement
	Hypothesis test: t-test
	Mid-Term Examination
	Inferences and predictions
	Dummy variables; Specification and estimation, applications and interpretation
	Lagged variables - specification, estimation, applications and interpretations
	Hour Examination
	Fitting a non-linear relationship
	Log transformation
	Final Examination

This syllabus is preliminary and is subject to change. The syllabus distributed in class is the official version.

Fall 2006 Course List       AE&S Home

2006 by J.C.O. Nyankori, Department of Applied Economics & Statistics, Clemson University, Clemson, SC.

updated 10/25/06