The IV scale of measurement is whether or not breakfast was given to the students.
Dependent and independent variables are variables in mathematical modeling, statistical modeling, and experimental science. Dependent variables are named because, in an experiment, their values are studied by assuming or claiming that they depend, according to some law or rule, on the values of other variables.
The independent variables, in turn, are not considered to be dependent on any other variable in the context of the experiment in question. In this sense, some common independent variables are time, space, density, mass, fluid flow rate, and previous values of some observed values that are of interest in predicting the future value.
Of the two, it is always the dependent variable on which the change is studied, by modifying the inputs, also known as the regressor in the statistical context. In an experiment, any variable that can be assigned a value without assigning a value to another is called an independent variable. Models and experiments test the effects of independent variables on dependent variables.
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