Applied regression analysis I
C R Stather
4 points
* 2 hours per week
* First semester
*
Caulfield/Clayton/Peninsula
* Prerequisites: MAT1722
Objectives To develop students' ability to investigate and model relationships between a criterion variable and a one or more predictor variables.
Synopsis The theme of the subject is about finding the best quantitative relationship between a response variable and several other predictor variables. Model selection, parameter estimation, residual analysis, prediction and multicollinearity are studied. Statistical computing packages eg MINITAB are extensively used.
Assessment Three assignments: 30%
* Examination (1.5 hours): 70%
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