Explanatory vs. Response Variables ~ The Difference

2023年3月30日 — Explanatory variables and Response variables are the most important types of variables to understand in statistics.

❖ The variable that is used to explain or predict the response variable is called the explanatory variable. It is also sometimes called the independent.

引數又稱為解釋變數（explanatory variable）或預測變數（predictor variable）。因變數又稱為回應變數（response variable）或結果變數（outcome variable）。

This is an observational study. The researcher wants to use grade level to explain differences in height. The explanatory variable is grade level. The response ...

2022年10月17日 — An explanatory variable is what a researcher manipulates or observes changes in. A response variable is the one that changes the results.

2022年12月24日 — Explanatory variables are those you can alter and manipulate in experimental research. In contrast, response variables are those that change as ...

An explanatory variable is a type of independent variable. The two terms are often used interchangeably. But there is a subtle difference between the two.

The explanatory variable explains the variation caused by the response variable. There is a cause-and-effect relationship between the two variables. The number ...