The variable that is being predicted or explained. It is denoted by y and is often referred to as the response. The variable (or variables) used for predicting or explaining values of the dependent variable. It is denoted by x and is often referred to as the predictor variable.

## What is the variable that is being predicted?

❖ The variable that researchers are trying to explain or predict is called **the response variable**. It is also sometimes called the dependent variable because it depends on another variable. ❖ The variable that is used to explain or predict the response variable is called the explanatory variable.

## What variable is being predicted in regression analysis?

The variable whose value is to be predicted is known as **the dependent variable** and the one whose known value is used for prediction is known as the independent variable.

## When using a model for prediction the variable being predicted is called the?

A basic statistical method of finding relationships between variables. … Linear regression models are used to show or predict the relationship between two variables or factors. The factor that is being predicted (the factor that the equation solves for) is called the **dependent variable**.

## Which variable is used to predict another variable?

A variable that is being predicted by another variable is called a dependent variable or target variable. On the other hand, the variable that is used to predict the target variable is called **an explanatory or independent variable**.

## What is the response variable in stats?

In statistics, a response variable is **the variable about which a researcher is asking a question**. He or she wants to know if this variable ‘responds’ to other factors being examined.

## What is the predicted response value?

In linear regression, mean response and predicted response are **values of the dependent variable calculated from the regression parameters and a given value of the independent variable**. The values of these two responses are the same, but their calculated variances are different.

## How do you know if an explanatory variable is significant?

To test the explanatory power of the whole set of explanatory variables, as compared to just using the overall mean of the outcome variable, use **the F-statistic and the p-value printed by SPSS or Excel under “ANOVA**.” If this p-value is less than 0.05, you can reject the null hypothesis (which is that all of the …

## How do you calculate response variables?

**N = ∑ i = 1** a n i is the total number of observations. The response variables are denoted by X^{(}^{}^{)}_{ij}, the corresponding covariates by X^{(}^{r}^{)}_{ij}, r = 1, …, d, and F^{(}^{r}^{)}_{i} (x) denotes the marginal distribution function of the random variables X^{(}^{r}^{)}_{ij}.

## What are examples of explanatory variables?

Examples of explanatory and response variables

Research question | Explanatory variables | Response variable |
---|---|---|

Does academic motivation predict performance? | Academic motivation | GPA |

Can overconfidence and risk perception explain financial risk taking behaviors? | Overconfidence Risk perception | Investment choices |