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

Lecture 7: Multiple linear regression I

Resource type: this resource contains a lecture or lecture notes. |

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

This page is complete for 2017, but hasn't been updated yet for 2018 |

## 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:

- Correlation (Review)
- Simple linear regression
- Multiple linear regression
- General steps
- Assumptions
*R*, coefficients- Equation
- Types

- Summary
- MLR I Quiz - Practice questions

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

## Prerequisite[edit]

- Correlation (Lecture)

## Readings[edit]

- Howitt and Cramer (2014a):
- Chapter 09: Regression: Prediction with precision (pp. 120-132)
- Chapter 32: Multiple regression and multiple correlation (pp. 444-459)

- StatSoft (2016).
*How to find relationship between variables, multiple regression*. StatSoft Electronic Statistics Handbook. - 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]

- Lecture slides (Slideshare)
- 2017 handouts:

## See also[edit]

- Psychometric instrument development (Previous lecture)
- Multiple linear regression II (Next lecture)
- Multiple linear regression (Tutorial)
- Linear regression
- Multiple linear regression
- MLR quiz (Practice)

## External links[edit]

- Regression: Prediction with precision (Ch 11) quiz (Practice) (Howitt & Cramer, 2014)
- Hierarchical multiple regression (Ch 36) quiz (Practice) (Howitt & Cramer, 2014)
- Moderator analysis with continuous predictor variables (Ch 37) quiz (Practice) (Howitt & Cramer, 2014)