Modern Regression Analysis

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Overview

Subject code

STA

Course Number

9700

Description

This first course in linear models is designed to present the material related to classical regression as well as relevant modern techniques. The traditional material based on ordinary least squares is blended with the modern methods of diagnosis and combating of collinearity. In the area of selecting the optimal subset model, classical and contemporary methodologies are presented. Influence diagnostics to detect data points that exert a disproportionate influence on the regression model are also presented. In addition, proceduresthat are used when the assumptions of standard methodology are violated are discussed.

Career

Graduate

Credits

Value

3

Max

3

Min

3

Course Count

1

Number Of Credits

3

Number Of Repeats

1

Repeatable

No

Contact Use

Yes

Generate Attendance

No

Left Use

Yes

Present Use

Yes

Reason Use

Yes

Tardy Use

Yes

Template Override

No

Time Use

Yes

Attendance Type

Class Meeting

Auto Create

No

Code

LEC

Instructor Contact Hours

3

Default Section Size

35

Final Exam Type

Yes

Include in Dynamic Date Calc

No

Instruction Mode

In Person

LMS File Type

Blackboard CourseInfo 4

Name

Lecture

OEE Workload Hours

0

Optional Component

No

Preferred Room Features

Academic Scheduling

Workload Hours

3