Applied Regression Analys | Regression Coefficient Interpretation

Applied Regression Analys | Regression Coefficient Interpretation

Requirements: Applied Regression Analys latest completion dates for the different assignments are given elsewhere in this syllabus, as well as in the individual modules. (Modules are simply segments of reading and testing material.) Any/all module–work may be done at any time prior to taking the corresponding assessment quizzes. These quizzes, based on sequential module work (11 in all) are scheduled as follows: Quiz#1: Thursday, June 5th; Quizzes 2 and 3: Tuesday, June 10th:

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Applied Regression Analys | Regression Coefficient Interpretation

Applied Regression Analys | Regression Coefficient InterpretationRequirements: Applied Regression Analys latest completion dates for the different assignments are given elsewhere in this syllabus, as well as in the individual modules. (Modules are simply segments of reading and testing material.) Any/all module–work may be done at any time prior to taking the corresponding assessment quizzes. These quizzes, based on sequential module work (11 in all) are scheduled as follows: Quiz#1: Thursday, June 5th; Quizzes 2 and 3: Tuesday, June 10th:

Quizzes 4 and 5: Tuesday, June 17th; Quiz #6: Thursday, June 19th; Quizzes 7 and 8: Tuesday,

  • June 24th; Quiz #9: June 26th; Quizzes 10 and 11: July 1st, followed by the Final Quiz #12 on July 3rd. These quizzes are each of 30 min. (max.) duration, and may be taken anytime between 5:15 pm and 11:45 pm on these designated days. This arrangement allows you maximum flexibility with respect to completing the work. The timely completion of the quizzes is of the essence to ensure timely coverage of the course-content . Allow yourself sufficient quiz-time by starting early (before 11:15 pm, to avail the full 30 minutes.) Again, you will take a quiz each on Thursdays, June 5th, 19th, and 26th; and two quizzes each on June 10th, 17th, 26th, and July 1st;
  • and the Final quiz on July 3rd.

11 assessment quizzes, but will be for 30 points.

  1. A little more on the module work: Each Module, NN has (1) some assigned reading of the text, (2) lecture on the underlying concepts, (3) embedded illustrative example (using Excel etc. as called for), (4) an illustrative quiz based on the example with answer key and its linked illustration/s, (5) suggested homework to reinforce the concepts, (6) a second quiz, PQNN, using  a selected homework problem/s (for which you will generate the solutions on your own, as in the illustration, steps 3 and 4 above), and (7) completion of a problem earmarked for an assessment quiz, TQNN. All these (except the quizzes PQnn’s and TQnn’s) are put together in a Module
  2. Worksheet. These (11, in all) Worksheets are placed in the respective Modules and form their
  3. main content. At the risk of overwhelming you, I have released all the modules to you at the
  4. outset (particularly considering that this is a short semester). So for now, all module material is
  5. to stay open through the duration of the course. The embedded quizzes and PQ’s prepare you to
  6. take the assessment quizzes. The procedure should give you adequate time to read/assimilate
  7. the content. The points you make on the quizzes TQ01 through TQ11 (20 points max, each), and
  8. the final (30 points) will be the only scores that count toward the grade. PLEASE NOTE THAT ON
  9. THE TQNN’s, ONLY YOUR SCORES WILL BE RELEASED (NOT THE QUIZZES THEMSELVES). You
  10. may review the PQNN’s and their solutions, after they close.

IMPORTANT POINTS TO NOTE/FOLLOW

  • All module-quizzes should be taken in “Learn”. The preliminary quizzes (PQnn’s) are setup only
  • to help you familiarize with taking the quizzes used for scoring (the TQnn’s).
  • TQ’s will show up in the content domain, at the appointed time; each will be of 30 min. duration
  • and is to be done any time in the extended 5:15 – 11:45 pm time-window, on the quiz-days.
  • Each quiz should be taken in a continuous time window, not exceeding 30 minutes (the format
  • allows NO breaks, no matter what the setup would indicate). Please plan accordingly.

SOME MORE DETAILS ON THE COURSE

  • There are two major objectives for this course. The first is to develop an understanding of
  • regression analysis and its assumptions and approaches. The second is to strengthen your ability
  • to make business decisions through its use. The course will achieve its objectives by using an
  • illustration-based quiz approach, with data from multiple business disciplines.
  • Multiple regression/correlation as well as the other statistical methodologies contained in this
  • course are highly general and are widely used. Accordingly, a third objective of this course is to
  • develop competency in applying the subject methodologies to real-life problems in your own
  • business disciplines, making you better communicators in your own business world.
  • It is assumed that students taking this course have already had an introductory statistics course.
  • However, a fair review of elementary concepts and terminology is included in the course, to
  • refresh your memory. (The review is not a substitute for such a first course.) Finally being an
  • applied course, DSCI 5180 does not impose high degree of mathematical rigor, but instead aims
  • at imparting a deeper functional understanding of Regression.

Goals

All business decisions require valid data and valid analytical techniques. The goals of this course include:

  1. Developing an appreciation for the role of statistics in making decisions,
  2. Reviewing the central concepts of statistical analysis,
  3. Understanding Simple Regression/ Correlation as a data analysis technique,
  4. Building models using Multiple Regression,
  5. Understanding the role of ANOVA in experimental designs, and finally
  6. Developing the capability to analyze data to enable better business decisions.
  • An application module will be directly used as a measure of your ability to integrate learning into
  • practice. This module serves as a part of the continuous quality assessment of the program,
  • required by the University. So, please pay particular attention to this “Application” module/ quiz
  • (the sixth quiz, due Mar. 7th). Your performance in it will count beyond the course.
  • Administration of SETE by the University: The Student Evaluation of Teaching Effectiveness
  • (SETE) is a requirement for all organized classes at UNT. This short survey will be made available
  • to you at the end of the semester; and please complete it if/when offered.
  • The module-wise coverage of the textual material given below is general in nature. Should there
  • be any conflict between this and what is laid out in detail in the module Worksheets, the
  • worksheets will take precedence.

Module 1 (Please go to the Worksheet for details)

Complete by June 5:

  • The assignments are always to be completed in advance of the corresponding assessment
  • quizzes. The 30 minute quizzes are open only over limited time windows. TQ01 on module 1 is
  • on Thursday, June 5. The work as laid out in the module Worksheet must be completed prior to
  • accessing the online quiz. Please have the proper solutions/outputs to the Competency
  • assessment problem ready on hand to do well in the quiz.
  • Topics covered: Populations, Samples etc., Descriptive Statistics, The Normal Probability

Distribution, and Sampling Distributions

  • Reading from the Text: Ch.1 (pp.1-3); Ch.2: Sections 2.1 through 2.5 (pp. 5-27)
  • Assignments: Exercises: 2.1, 8, 9, 11, 15, 16, 17 and 19; Take PQ01.
  • Complete Assignment #1 as laid out in the Module worksheet and take TQ01 based on this
  • module work, between 5:45pm and 11:45pm, June 5. For this, and for all other modules, making
  • sure you have the appropriate Tables, Outputs etc. is completely your responsibility. Needless to
  • say, “right” responses based on incorrect readings/ premises carry NO credits.

Module 2 (Please go to the Worksheet for details)

  • The assignments are always to be completed in advance of the corresponding assessment
  • quizzes. The 30 minute quizzes are open only over limited time windows. TQ02 on module 2 is
  • on June 10. The work as laid out in the module Worksheet must be completed prior to accessing
  • the online quiz. Please have the proper solutions/outputs to the Competency assessment
  • problem ready on hand to do well in the quiz.

Topics covered: Basics of Estimation and Inference (Confidence Intervals and Hypothesis Testing

  • Reading from the Text: Ch.2: Sections 2.6 and 2.7 (pp. 27-39)
  • Assignments: Exercises: 2.23, 25, 27, 29, 30, 31, and 36; Take PQ01 after Jan. 29th.
  • Complete Assignment #2 as laid out in the Module worksheet and take TQ02 based on this
  • module work, between 5:45pm and 11:45pm, June 10.

Module 3 (Please go to the Worksheet for details)

  • Complete by June 10:
  • Topics covered: Estimation and Inference of Differences between means with dependent and
  • independent samples
  • Reading from the Text: Ch.2 2.8 and 2.9 (pp. 40-57)
  • Assignments: Exercises: 2.35, 37, 39, 40, 42 and 44; Take PQ03 after Feb. 5th.
  • Complete Assignment #3 as laid out in the module Worksheet, and take Assessment Quiz TQ03
  • based on this module, between 5:15pm and 11:45pm, June 10.

Applied Regression Analys | Regression Coefficient Interpretation

Module 4 (Please go to the Worksheet for details)

  • Complete by June 17:
  • Topics covered: Conceptual and Fitted models, Method of Ordinary Least Squares for fitting the
  • model, Inference on Slope and Intercept.
  • Reading from the Text: Ch.3 3.1 through 3.4 (pp. 63-93)
  • Assignments: Exercises: 3.1, 7, 30, and 31. PQ04
  • Complete Assignment #4 as laid out in the module Worksheet and take Assessment Quiz TQ04
  • based on this module between 5:15pm and 11:45pm, June 17.
  • Module 5 (Please go to the Worksheet for details)
  • Complete by June 17:
  • Topics covered: ANOVA and The Coefficient of Determination, Using Models for Estimation and
  • Prediction, Regressions on Time, Causal X? or is it only correlated X ?
  • Reading from Text: Ch.3 Sections 3.4 through 7 (pp. 93-116)
  • Assignments: Exercises: 3.9, 17, 19, 21, 22, 26, 27, and 28. PQ05
  • Complete Assignment #5 as laid out in the module Worksheet and take Assessment Quiz TQ05
  • based on this module between 5:45pm and 11:45pm, June 17.

Module 6 Learning Integration Module

  • Integration of SLR models in a Business Application … June 19:
  • Topic covered: Illustration of an important application/use of SLR models, optimization in Excel.
  • Students will use “real” data to determine the Beta’s (risk) that go with selected securities, and
  • use them in coming up with a portfolio that has a set target Beta (risk). Use Modules 4 and 5 to
  • review.
  • (No new topics in statistics are covered in this module.) Obtain the Beta’s and the target mix of
  • securities and take this module quiz TQ06 between 5:15pm and 11:45 pm, June 19.

Module 7 (Please go to the Worksheet for details)

  • Complete by June 24:
  • Topics covered: General Form of a Multiple Regression Model, Model Assumptions, Obtaining the
  • Estimates of Slopes (Fitting the Model), Method of Least Squares and Its Assumptions, and
  • Inferences regarding Slopes, The ANOVA Table and the F-Test
  • Reading from Text: Ch.4 Sections 4.1 through 4.3 (pp. 133-147)
  • Assignments: Exercises: 4.1, 15, 16, and 17. PQ07
  • Complete Assignment #7 and take Assessment Quiz TQ07 based on this module between
  • 5:15pm and 11:45pm, June 24.

Module 8 (Please go to the Worksheet for details)

  • Complete by June 24.
  • Topics covered: Reduced and Full models, Lagged Variables as predictors, and Multicollinearity
  • Reading from Text: Ch.4 Sections 4.4 through 4.7 (pp. 151-165)
  • Assignments: Exercises: 4.1, 11, 12, and 15. PQ08
  • Complete Assignment #6 and take Assessment Quiz TQ08 based on this module between
  • 5:15pm and 11:45pm, June 24.

Module 9 (Please go to Worksheet for details)

  • Complete by June 26:
  • Topics covered: Curvilinear Models, Regression assumptions, Influence, Error correlation (the
  • Durbin-Watson Statistic)
  • Reading from Text: Ch.5 Sections 5.1 and 2(pp. 179- 182); Ch.6 sections 6.1 to3, and 6 to 8
  • (pp.205 – 209, and 230 – 259)
  • Assignments: Exercises: 6.5, 9, 14, and 15. PQ09
  • Complete Assignment #9 and take Assessment Quiz TQ09 based on this module between
  • 5:15pm and 11:45pm, June 26.

Module 10 (Please go to Worksheet for details)

  • Complete by July 1:
  • Topics covered: Creation and use of Indicator and Interaction Variables and Stepwise
  • procedures.
  • Reading from Text: Ch.7 Sections 7.1-3 (pp. 273-293), Ch.8 sections 8.1-4 (pp. 311-328)
  • Assignments: Exercises: 7.1, 3, 5, 7 and 17. PQ10
  • Complete Assignment #10 and take Assessment Quiz TQ10 based on this module between

Module 11 (Please go to the Worksheet for details)

  • Complete by July 1.
  • Topics covered: Design of Experiments, One-way and two-way ANOVA, and related topics
  • Reading from Text: Ch.9 Sections 9.1- 3 (pp.335-363)
  • Assignments: Exercises: 9.1, 2, and 9. PQ11
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