## When researchers say that there is a relationship between two variables This means that ___?

Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime) but this relationship does not necessarily imply cause and effect. When two variables are correlated it simply means that **as one variable changes so does the other**.

## What is the relationship among the separate F-ratios in a two-factor between subjects Anova?

What is the relationship among the separate F-ratios in a two-factor ANOVA? **They may have different df values but they all have the same denominator**. For an experiment involving 2 levels of factor A and 3 levels of factor B with a sample of n = 5 in each treatment condition what is the value for dfwithin?

## When two variables are not associated They are said to be?

The arithmetic mean is also called the average which is a measure of central tendency. Association: The inclination of two events to occur simultaneously. Two variables that are associated are correlated whereas two variables that are not associated (independent) are said to be **uncorrelated**.

## When a variable explains the relationship between two other variables it is referred to as a?

**A mediating variable** explains the relation between the independent (predictor) and the dependent (criterion) variable. It explains how or why there is a relation between two variables. A mediator can be a potential mechanism by which an independent variable can produce changes on a dependent variable.

## What is the relationship between two variables?

**correlation**. A correlation could be positive meaning both variables move in the same direction or negative meaning that when one variable’s value increases the other variables’ values decrease.

## What is the relationship between two variables in research?

**A correlation** is the measurement of the relationship between two variables. These variables already occur in the group or population and are not controlled by the experimenter. A positive correlation is a direct relationship where as the amount of one variable increases the amount of a second variable also increases.

## What is interaction in two-way ANOVA?

**effect for medicine interacts with gender**. That is medicine affects females differently than males.

## What is the relationship among the separate F rations in a two factor Anova quizlet?

What is the relationship among the three separate F-ratios in a two-factor ANOVA? **They all have the same df values but may have different denominators**. They may have different df values but they all have the same denominator. They may have different df values and may have different denominators.

## How do you find F in a two-way ANOVA?

**The F test statistic is found by dividing the MS for each row by the MS for the error source.**

- F(race) = 1164.1 / 66.22 = 17.58.
- F(gender) = 907.5 / 66.22 = 13.71.
- F(interaction) = 226.3 / 66.22 = 3.42.

## What does it mean to say that two variables are positively associated?

A positive correlation is a **relationship between two variables in which both variables move in the same direction**. Therefore when one variable increases as the other variable increases or one variable decreases while the other decreases.

## What is it called when there is no relation between two variables?

If the correlation coefficient is greater than zero it is a positive relationship. Conversely if the value is less than zero it is a negative relationship. **A value of zero** indicates that there is no relationship between the two variables.

## What does it mean to say that two variables are negatively associated?

A negative or inverse correlation between two variables indicates **that one variable increases while the other decreases and vice-versa**. This relationship may or may not represent causation between the two variables but it does describe an observable pattern.

## When the relationship between two variables changes on the level of another variable that a variable is called a moderator?

Moderating Variables — In association research when the relationship between two variables changes depending on the level of a third variable the third **variable** is called a moderator. Gender moderates the relationship between extroversion and group conversations in Table 8.6.

## When a relationship between two variables is actually the result of a third variable?

This is termed non-spuriousness which simply means “not false.” **A spurious or false relationship** exists when what appears to be an association between the two variables is actually caused by a third extraneous variable.