NYU Stern School of Business

Undergraduate College

STAT-UB.0003.001 (C22.0003): REGRESS/FORCASTING MODEL

Spring 2012

Instructor Details

Shahmaei, Ardeshir

ashahmae@stern.nyu.edu

212 998 0828

M 4:45 – 5:30 pm, and by appointment

KMC -171B

 

Ki Young Kim

kyk229@stern.nyu.edu

831-236-7922

TBA

The Ernst and Young Learning Cente

 

Course Meetings

MW, 3:30pm to 4:45pm

Tisch T-UC24


Final Exam:  3/7/2012

Schedule exceptions
    Class will not meet on:
    Class will meet on:

 

Course Description and Learning Goals

The objective of this course is to introduce students to the basic statistical techniques which are widely used in business and other fields. In particular considerable attention will be devoted to the technique of regression analysis, which is a useful and powerful technique for modeling the relationships between variables of interest.

 

Course Pre-Requisites

V63.0121 - Calculus 1, 4 credits

 

 

 

 

 

 

 

 

 

 

Course Outline

Topical Outline

The abbreviation MBS below refers to McClave, Benson, and Sincich, the course textbook.

Topical Heading/ Date

Specific Topics

Readings andHomework

Assignment due

Simple linear regression  Date: M 1/23/12

Introduction,  Hypothesis testing review    10.1, 10.2  Probabilistic Models         Fitting the Model

MBS, Chapter 10                                                                       Exercises:   10.18, 10.20                                                  

 

Simple linear regression  Date: W 1/25/12

10.3 -10.4 Model assumptions, Inferences about ß1.

MBS, Chapter 10                                                                        Exercises:   10.33, 10.40, 10.44                                                   

                                                               

Simple linear regression  Date: M 1/30/12

10.5  The Coefficient of Correlation   and Determination                      

 MBS, Chapter 10                                                                        Exercises:    10.64                                                   

Handout assignment I

Simple linear regression  Date: W 2/1/12

10.6, 10.7 Using the Model for Estimation and Prediction

MBS, Chapter 10                                                                        Exercises:  10.70, 10.98                                                    

 

Simple linear regression  Date: M 2/6/12

Beta Coefficient, and Residual Analysis Review

Handout               

 

Mid-term Exam       Date: W 2/8/12

Material covered in classes 1-6

 

Handout assignment II

Multiple regression       Date: M 2/13/12

 Multiple Regression Model   Interpretations of coefficients 

MBS, Chapter 11                                    Exercises:                     

 

Multiple regression        Date: W 2/15/12

11.2, 11.3 Inferences about ß Parameters, Overall Model Utility.

MBS, Chapter 11                                 Exercises: 11.7, 1120

 

Date: M 2/20/12

 President’s day No Class                         

 

 

Multiple regression        Date: W 2/22/12

11.4, 11.12 Using the Model for Estimation and Prediction, Multicollinearity.   

MBS, Chapter 11                                 Exercises: 11.27, 11.117

 

Multiple regression        Date: M 2/27/12

11.5, 11.7, 11.8 Quadratic Models, Qualitative (Dummy) Variables Models

MBS, Chapter 11                                 Exercises: 11.62, 11.116

Handout assignment III

Multiple regression        Date: W 2/29/12

11.9 Comparing Nested Models model.   

MBS, Chapter 11                                 Exercises: 11.103

 

Multiple regression        Date: M 3/5/12

Review

 

Handout assignment IV

Final Exam              Date: W 3/7/12

          LAST CLASS                                                         

 

 

 

Required Course Materials

Text:

1. Statistics for Business and Economics, 11th edition, by McClave, Benson, and Sincich (MBS), Prentice Hall. Chapter 10 and 11 in the MBS custom version will be covered. 
The text (MBS), and Student's Solutions Manual are sold as one package at the NYU Main Bookstore on 18 Washington Place, though you may choose to use copies of relevant materials from previous classes.

2. Lecture Notes/slides and Handouts (will be posted on Blackboard).

 

Computer Software and Data Sets:

Statistical computing will be done with the program Minitab 16 for Windows.  This program runs on the Stern network; individual copies can be purchased from the Professional Bookstore. The latest release number of Minitab for Windows is 16.  Data files required for the assignments will be available from http://www.stern.nyu.edu/~gsimon/statdata. Many of the data files are from the disk that accompanies the textbook

 

Assessment Components

Grading Information:

                                                                                                                                             

Exams will be given in class and are not comprehensive in that they only cover material developed since the preceding exam. 

 

Mid-term Exam

40%

Final Exam

40%

Homework & Attendance

20%

 

Grading

The grades for this course follow the Stern Grading Guidelines for Core Courses at the Undergraduate College.

 

Professional Responsibilities For This Course

CLASSROOM POLICIES:

Please arrive promptly for the start of class.  Late entrances are disruptive to the discussion.   Also, pleaseremember to turn off cell phones. 

 Entering (leaving) the classroom late (early) may be very disturbing for your fellow students.  If you do have to come late or leave early,   please do so as unobtrusively as possible (if there is a backdoor, you use the backdoor; avoid the middle aisle, etc.). 

Please do not use laptop computers in class.  If you have a special need for a laptop, please consult Professor Shahmaei.

 

Stern Policies

General Behavior
The School expects that students will conduct themselves with respect and professionalism toward faculty, students, and others present in class and will follow the rules laid down by the instructor for classroom behavior.  Students who fail to do so may be asked to leave the classroom. 

 

Collaboration on Graded Assignments
Students may not work together on graded assignment unless the instructor gives express permission. 

 

Course Evaluations
Course evaluations are important to us and to students who come after you.  Please complete them thoughtfully.

 

Academic Integrity

Integrity is critical to the learning process and to all that we do here at NYU Stern. As members of our community, all students agree to abide by the NYU Stern Student Code of Conduct, which includes a commitment to:

The entire Stern Student Code of Conduct applies to all students enrolled in Stern courses and can be found here:

Undergraduate College: http://www.stern.nyu.edu/uc/codeofconduct
Graduate Programs: http://w4.stern.nyu.edu/studentactivities/involved.cfm?doc_id=102505

To help ensure the integrity of our learning community, prose assignments you submit to Blackboard will be submitted to Turnitin.  Turnitin will compare your submission to a database of prior submissions to Turnitin, current and archived Web pages, periodicals, journals, and publications.  Additionally, your document will become part of the Turnitin database.

 

Recording of Classes

Your class may be recorded for educational purposes

 

Students with Disabilities

If you have a qualified disability and will require academic accommodation of any kind during this course, you must notify me at the beginning of the course and provide a letter from the Moses Center for Students with Disabilities (CSD, 998-4980, www.nyu.edu/csd) verifying your registration and outlining the accommodations they recommend.  If you will need to take an exam at the CSD, you must submit a completed Exam Accommodations Form to them at least one week prior to the scheduled exam time to be guaranteed accommodation.

 

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