❖ 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 is the variable being predicted using another variable called?

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 name of the variable that is used to predict another variable quizlet?

–**Independent variable** (X): the variable that is used to predict, or is the cause of, change in another variable. Also called factor or regressor X.

## What is the name of the variable that is predicted by another variable group of answer choices?

A dependent or response variable is the one that is measured. The independent variable affects the dependent variable. Or in other words, researchers manipulate the **independent variable(s)** to determine or predict the value of the response variable.

## What is the predicted variable?

Predictor variable is the **name given to an independent variable used in regression analyses**. … The term predictor variable arises from an area of applied mathematic that uses probability theory to estimate future occurrences of an event based on collected quantitative evidence.

## What is the variable being predicted or estimated?

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.

## Which of the following are possible values for the correlation between two variables?

Understanding Correlation

The possible range of values for the correlation coefficient is **-1.0 to 1.0**. In other words, the values cannot exceed 1.0 or be less than -1.0. A correlation of -1.0 indicates a perfect negative correlation, and a correlation of 1.0 indicates a perfect positive correlation.

## What is the condition called when two or more predictor variables have an exact linear relationship?

The simple linear regression model y = β0 + β1x + ɛ implies that if x goes up by one unit, we expect y to change by how much? ( irrespective of the value of x), β1. What is the condition called when two or more predictor variables have an exact linear relationship? **Perfect multicollinearity**.

## 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 are the two response variables?

One response variable is the amount of time visiting the site. This response variable is quantitative. One response variable is the **amount spent by the visitor**. This response variable is quantitative.

## What does R 2 mean in a regression?

R-squared (R^{2}) is a statistical measure that **represents the proportion of the variance for a dependent variable that’s explained by an independent variable** or variables in a regression model.