There are a number of statistical tests that explore the relationship between the independent variable(s) and the dependent variable. The key is to translate the business problem into a ...

By trimming dependent variable costs, he leaves his business better able to absorb the independent variable costs. The bottom line is that, except in very few cases, business costs are somewhat ...

One of the most frustrating issues that emerges in teaching this class pertains to the concepts of “independent” and “dependent” variables. These concepts are foundational in understanding ...

Constructing theories means introducing concepts which are not directly observable. They should, however, explain empirical findings and thus have to be related to observations. Hence, it is useful ...

But in an investigation into eye colour, the number of people is the dependent variable and the data is discrete. Independent variables can be categoric or continuous. An example of categoric data ...

Catherine Falls Commercial/Getty Images Linear regression is a type of data analysis that considers the linear relationship between a dependent variable and one or more independent variables.

Using this method you manipulate the controllable factors (independent variables or inputs) in your process at different levels to see their effect on some response variable (dependent variable or ...

The dependent variable is the outcome that is being acted upon by the independent variables—the inputs into the model. Multicollinearity exists when there is a linear relationship, or ...

When drawing a chart or a graph, the independent variable goes on the horizontal (x) axis and the dependent variable goes on the vertical (y) axis. When drawing a pie chart, make sure the correct ...