Contents

## What is a dependent relationship between two variables?

Dependent Variables

A dependent variable is **the factor that changes as a result of the influence of the independent variable**. It is the behavior, outcome or characteristic that changes as a response to some manipulation. For this reason, a dependent variable is sometimes referred to as a response variable.

## What happens when you have two dependent variables?

When multiple dependent variables are different measures of the same construct—especially if they are measured on the same scale—researchers have the option of **combining them into a single measure of that construct**.

## What is the relationship between quantities?

Two quantities have a proportional relationship if they can be expressed in the general form **y = kx, where k is the constant of proportionality**. In other words, these quantities always maintain the same ratio. That is, when you divide any pair of the two values, you always get the same number k.

## What does it mean for one quantity to depend on another?

**A function** is a rule that relates how one quantity depends on other quantities.

## How do you measure dependence between two variables?

The most familiar measure of dependence between two quantities is the **Pearson product-moment correlation coefficient (PPMCC), or “Pearson’s correlation coefficient”, commonly called simply “the correlation coefficient”**.

## How do you find the dependency between variables?

If you are interested in the different types of dependence, you can use **Pearson correlation which evaluates the linear relationship between two variables, or Spearman correlation which evaluates the monotonic relationship between two variables**.

## What relationship exists between two variables when their ratio is a constant?

**Proportional relationships** are relationships between two variables where their ratios are equivalent. Another way to think about them is that, in a proportional relationship, one variable is always a constant value times the other. That constant is know as the “constant of proportionality”.

## What does it mean if two quantities are proportional?

When two quantities are proportional, it means that **as one quantity increases the other will also increase and the ratio of the quantities is the same for all values**. An example could be the circumference of a circle and its diameter, the ratio of the values would equal \pi.

## What do you call the relationship between two or more quantities where one quantity varies in relation to another?

A relationship where one quantity is a constant multiplied by another quantity is called **direct variation**. Two variables that are directly proportional to one another will have a constant ratio. A relationship where one quantity is a constant divided by another quantity is called inverse variation.

## What is measure of dependence?

Abstract. A measure of dependence **indicates in some particular manner how closely the variables X and Y are related**; one extreme will include a case of complete linear dependence, and the other extreme will be complete mutual independence.

## 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.

## Does correlation imply dependence?

In statistics, dependence refers to any statistical relationship between two random variables or two sets of data. **Correlation refers to any of a broad class of statistical relationships involving dependence**.

## Are dependent variables correlated?

**Dependent variables can be uncorrelated**, but you’re not necessarily in that situation; failure to reject the null in the Spearman doesn’t necessarily mean the variables are uncorrelated.

## Does covariance imply dependence?

Clearly, **these are very dependent** (think of x as the support of a random variable X . If X crystallizes to 4, then we know Y , or the random variable associated with the y vector, must be 16). However, despite being dependent, they have a Covariance of 0 (so, a Covariance of 0 does not imply independence).

## Does correlation have independent and dependent variables?

A correlation identifies variables and looks for a relationship between them. An experiment tests the effect that **an independent variable has upon a dependent variable but a correlation looks for a relationship between two variables**.

## Which is another term for dependent variable?

Predicted variable

The other name for the dependent variable is the **Predicted variable**(s). The dependent variables are named as such because they are the values that are predicted or assumed by the predictor / independent variables.

## What is the correlation between two independent variables?

**Multicollinearity occurs when independent variables in a regression model are correlated**. This correlation is a problem because independent variables should be independent. If the degree of correlation between variables is high enough, it can cause problems when you fit the model and interpret the results.