#### Prerequisites & Bulletin Description

#### Course Objectives

Students will gain an understanding of the linear model and gain practical experience applying linear model to analyze real-life data. The course objective are:

- Understand the statistical foundation of the linear model including major distributions.
- Understand how to interpret the results of regression analysis.
- Assessing the quality of the regression model.
- Understand how to set the model structure in analysis of variance.

#### Evaluation of Students

Student will evaluated based on homework, projects, midterm, and final examinations.

#### Course Outline

Topics |

Introduction to Linear Models |

Transformations |

Inference in Linear Regression |

Regression Diagnostics |

Regression in Matrix Notation |

Multiple Regression |

Qualitative Predictor Variables |

Model Building Strategies |

Single Factor Analysis of Variance |

Analysis of Covariance |

Two Factor Analysis of Variance |

#### Textbooks & Software

Neter, Kutner, Nachtsheim and Wasserman, *Applied Linear Statistical Models*

Submitted by: M. R. Kafai

Date: Feb 9th, 2006