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Applied Business Forecasting and Regression Analysis

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Title: Applied Business Forecasting and Regression Analysis


1
Applied Business Forecasting and Regression
Analysis
  • Introduction

2
Introduction
  • Statistics is a discipline of scientific
    reasoning under conditions of uncertainty.
  • It has to do with
  • Designing a appropriate data-collection strategy
    or an experiment.
  • Making sense of the collected information through
  • Plots and tables
  • Numerical summaries
  • Make inference about a population from a
    relatively small random sample of that
    population.
  • Modeling the relationship between variables and
    if it proves successful use it for prediction.
  • Using historical data to develop models for
    forecasting the future.
  • Reporting the results of your statistical
    analysis.
  • This is not a mathematics course, but
    mathematical concepts will be used.

3
Introduction
  • You will find that statistical thinking a new and
    different type of mental discipline.
  • It will take some time and effort to get
    comfortable with it.
  • You will not be able to learn this material
    passively, any more than you could learn to play
    piano or football just by watching someone else
    do it.

4
Introduction
  • Expect this course to be challenging but
    interesting (I hope).
  • In every lecture, I will follow the textbook
    fairly closely, but expect to find something
    extra that you will not find in the text.
  • You will be responsible for these in exams and
    other class work.

5
Introduction
  • There will be worksheets in some lectures to go
    over in class.
  • The work you do on these will be extra credit.
  • You will lose your opportunity to earn extra
    credit if you miss a class.
  • Some of the problems on these worksheets will
    closely resemble the homework problems, and
    problems on the tests.

6
The organization of this course
  • The lectures, homework assignments, work-sheets,
    and computer lab sessions are all carefully
    planned to support each other and to prepare you
    for exams.
  • The disruption of the timing of any of these
    course components, will significantly reduce your
    chances of success in this course.

7
The organization of this course
  • Alternatively, attending lectures, and working
    on assigned home-work problems regularly, will
    increase your chances of success in this course.

8
How this course works
  • A cookbook approach in which you try to
    memorize the right formula for a word problem
    will not help you to succeed in this course.
    Instead, thinking things through from the
    beginning of the course and understanding the
    concepts will pay big dividends by the end of the
    semester.

9
How this course works
  • Statistics is often thought of as a math course,
    but in reality English is at least as important
    as math. We use English to interpret the meaning
    of numbers we calculate and writing a report of
    our findings.
  • Difficulty with word problems in previous math
    courses does not inhibit your success in DS-303
    because the concepts we need are built from the
    very beginning of the course.

10
How this course works
  • I have noted that students who work alone
    sometimes feel isolated and struggle with the
    course. Students who work together with a study
    partner or in a study group tend to succeed more
    readily.
  • If you miss a lecture, get the notes from your
    study partner.

11
How this course works
  • All the lecture notes will be posted on the
    course web page.
  • http//faculty.wiu.edu/F-Dehkordi/
  • It is your responsibility to make your own
    copies.

12
What can we hope to accomplish?
  • To learn several commonly used statistical
    procedures for organizing and describing data.
  • To learn the formal methods for drawing
    conclusions from properly produced data and use
    the language of probability to describe how
    reliable the conclusions are.
  • To learn methods of inference dealing with
    relationship among two or more variables.

13
What can we hope to accomplish?
  • To learn time series models used in identifying
    patterns and their applications in forecasting
    procedures.
  • To gain practical experience through hands on
    use of computer programs in your study of these
    statistical methods.
  • To learn the basics of writing a statistical
    analysis report.

14
What to expect
  • You learn statistics by doing statistical
    problems.
  • To learn a new concept and master it you need to
  • Be persistent
  • Be organized
  • Practice, practice, practice
  • The gain will be worth the pain.
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