Contents
How do you know if a variable is explanatory or response?
Explanatory vs response variables The difference between explanatory and response variables is simple: An explanatory variable is the expected cause, and it explains the results. A response variable is the expected effect, and it responds to explanatory variables.
What is the difference between response and predictor variables?
Variables of interest in an experiment (those that are measured or observed) are called response or dependent variables. Other variables in the experiment that affect the response and can be set or measured by the experimenter are called predictor, explanatory, or independent variables.
Why are different explanatory variables measured on different scales?
Different explanatory variables are almost always on different scales (i.e., measured in different units). This is not a problem; the betas are estimated such that they convert the units of each explanatory variable into the units of the response variable appropriately.
Which is the explanatory variable in this study?
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 variable is height.
What is the difference between an explanatory and response variable?
Explanatory Variable: Sometimes referred to as an independent variable or a predictor variable, this variable explains the variation in the response variable. Response Variable: Sometimes referred to as a dependent variable or an outcome variable, the value of this variable responds to changes in the explanatory variable.
Is there sample selection bias in the explanatory variable?
For the explanatory variable in my example, 94% of the sample are native (1) and 6% are foreign. I don’t think there is a sample selection bias here because the data are collected in a country so why would one expect to have a balanced nationality.