ERIC Number: EJ842709
Record Type: Journal
Publication Date: 2007
Pages: 15
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1069-1898
EISSN: N/A
Evaluating Aptness of a Regression Model
Matson, Jack E.; Huguenard, Brian R.
Journal of Statistics Education, v15 n2 2007
The data for 104 software projects is used to develop a linear regression model that uses function points (a measure of software project size) to predict development effort. The data set is particularly interesting in that it violates several of the assumptions required of a linear model; but when the data are transformed, the data set satisfies those assumptions. In addition to graphical techniques for evaluating model aptness, specific tests for normality of the error terms and for slope are demonstrated. The data set makes for an excellent case problem for demonstrating the development and evaluation of a linear regression model. (Contains 3 tables and 9 figures.)
Descriptors: Regression (Statistics), Models, Computer Software, Evaluation, Data, Computation, Mathematics Instruction, College Mathematics, Engineering Education, Assignments
American Statistical Association. 732 North Washington Street, Alexandria, VA 22314. Tel: 703-684-1221; Tel: 888-231-3473; Fax: 703-684-2037; e-mail: asainfo@amstat.org; Web site: http://www.amstat.org/publications/jse
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A