Quick reminder two or more variables
Download as PPTX, PDF1 like341 views
This document discusses variables and their relationships in analyzing different questions. It explains that many questions look at the relationship between two variables, such as gender and driving speed. However, some questions examine the influence of three or more variables, for example how gender, age and driving speed are related. The document also notes that problems may include a covariate variable that is not directly counted if its effect is being eliminated from the analysis.
Quick reminder two or more variables
- 1. Many relationship questions deal with TWO VARIABLES: • What is the relationship between: – gender and driving speed (TWO variables) – age and amount of time spent on the internet (TWO variables) – height and weight (TWO variables) In other cases, relationship questions deal with THREE OR MORE VARIABLES: • To what degree does: – gender and age predict driving speed (THREE variables) – faculty tenure, number of publications, and teaching ratings influence faculty salary (FOUR variables) Note – in some cases one of the variables is what’s called a covariate. If that is the case the covariate variable is not counted as a variable because it’s effect will be eliminated. You can tell a problem has a covariate if you see the words “eliminate the effect of”, “hold constant”, “partial out the effect of”, etc.