An explanatory variable is one which may be used to explain or predict changes in the values of another variable. There may be several explanatory variables.
variable
a variable.
It is called a variable.
A letter used in place of a numeral is called a variable.
The variable that is used to predict another variable is usually called the "independent variable" or the "predictor variable." This variable is manipulated or controlled in an experiment to observe its effect on the outcome variable, which is known as the "dependent variable."
Explanatory (or predictor) variable: A variable which is used in a relationship to explain or to predict changes in the values of another variable; the latter called the dependent variable.
reporcoal
reporcoal
An explanatory variable is one which may be used to explain or predict changes in the values of another variable. There may be several explanatory variables.
used to predict the dependent variable
that there is a relationship between the two variables. This relationship can be used to predict how changes in one variable will affect the other variable.
You can use correlation analysis to quantify the strength and direction of the relationship between two variables. This can help determine if there is a linear relationship, and whether changes in one variable can predict changes in the other. Additionally, regression analysis can be used to model and predict the value of one variable based on the value of another variable.
A mixed cost will contain both a fixed and a variable component. It is used to predict how costs will fluctuate with a variable component.
Yes anova can and should be used to predict correlation between variable's in a single group. This is one of the primary and most common uses of such software.
It's almost impossible to predict, but the value will be some data left by OS when it was previously used.
It is called a variable. x is the most used variable.