Survey research and design in psychology/Lectures/Multiple linear regression I

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Lecture 7: Multiple linear regression I

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This is the seventh lecture for the Survey research and design in psychology unit of study.

Information

This page is complete for 2017.

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Outline[edit]

Introduces and explains the use of linear regression and multiple linear regression, a multivariate correlational statistical technique, in the context of psychology.

More specifically, this lecture covers:

  1. Correlation (Review)‏
  2. Simple linear regression
  3. Multiple linear regression
    1. General steps
    2. Assumptions
    3. R, coefficients
    4. Equation
    5. Types
  4. Summary
  5. MLR I Quiz - Practice questions

The lecture resources include presentation slides, and sometimes additional notes.

Prerequisite[edit]

  1. Correlation (Lecture)

Readings[edit]

  1. Howitt and Cramer (2014a):
    1. Chapter 09: Regression: Prediction with precision (pp. 120-132)
    2. Chapter 32: Multiple regression and multiple correlation (pp. 444-459)
  2. StatSoft (2016). How to find relationship between variables, multiple regression. StatSoft Electronic Statistics Handbook.
  3. Tabachnick, B. G., & Fidell, L. S. (2013) (6th ed. - International ed.). Multiple regression (Ch. 5) [Includes sample write-ups]. Using multivariate statistics (6th ed., pp. 117-196). Boston, MA: Pearson. Includes example write-ups. eReserve

Handouts[edit]

See also[edit]

External links[edit]