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.
Explanatory and Response variables are just fancy words for independent and dependent variables. Explanatory is the independent variable and response is the dependent variable.
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Explanatory (or independent) variables are variables such that changes in their value are thought to cause changes in the "dependent" variables.
The answer is a dependent variable. A variable that changes in response to another variable is called a dependent variable.
Very few people will assume, given NO correlation, that there is also a casual relationship.I will assume that you meant the fallacy in assuming that if "there is no correlation between two events there is also nocausal relationship".Correlation is a measure of linear relationship. If there is a non-linear relationship it is possible for the correlation to be low. Or, in the extreme case of a relationship that is symmetric about a specific value of the explanatory variable, for the correlation to be zero.Very few people will assume, given NO correlation, that there is also a casual relationship.I will assume that you meant the fallacy in assuming that if "there is no correlation between two events there is also nocausal relationship".Correlation is a measure of linear relationship. If there is a non-linear relationship it is possible for the correlation to be low. Or, in the extreme case of a relationship that is symmetric about a specific value of the explanatory variable, for the correlation to be zero.Very few people will assume, given NO correlation, that there is also a casual relationship.I will assume that you meant the fallacy in assuming that if "there is no correlation between two events there is also nocausal relationship".Correlation is a measure of linear relationship. If there is a non-linear relationship it is possible for the correlation to be low. Or, in the extreme case of a relationship that is symmetric about a specific value of the explanatory variable, for the correlation to be zero.Very few people will assume, given NO correlation, that there is also a casual relationship.I will assume that you meant the fallacy in assuming that if "there is no correlation between two events there is also nocausal relationship".Correlation is a measure of linear relationship. If there is a non-linear relationship it is possible for the correlation to be low. Or, in the extreme case of a relationship that is symmetric about a specific value of the explanatory variable, for the correlation to be zero.
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.
Explanatory and Response variables are just fancy words for independent and dependent variables. Explanatory is the independent variable and response is the dependent variable.
explanatory variable
As the explanatory variable increases, the response variable increases
the variable age has discriptive value but not necessarily explanatory value.
In a scatter diagram, the explanatory variable is typically placed along the x-axis, while the response variable is placed along the y-axis. This arrangement helps to visualize the relationship between the two variables, allowing for easier interpretation of how changes in the explanatory variable may influence the response variable.
The independent (or explanatory) variable is changed to test the prediction,
X-axis
independent variable called also predictor variables,explanatory variables,manipulated variables etc.
No. It shows changes in the response variable against changes in the explanatory (or independent) variable(s).
Explanatory variable apex
Casual forecasting is mainly concerned with finding a cause-effect relationship between the explanatory variables and the variable to be predicted. After a proper relationship is identified the independent variable can be forecasted by using the future values of the explanatory variables.