In statistics, there are dependent and independent variables. Dependent variables are so-called because, in an experiment, their values are examined under the presumption or requirement that they are subject to some rule or law that requires them to rely on the values of other variables.

In turn, independent variables are not perceived in the context of the experiment in question as reliant on any other variable. In this sense, time, space, density, mass, fluid flow rate, and prior values of some observed value of interest to forecast future values are some frequent independent variables.

Pearson’s Product Moment Correlation Coefficient Interpretation

Compute Pearson’s product-moment correlation coefficient. Then, explain the value obtained.

Pearson’s product-moment correlation

Their correlation between the Dependent Variables and Independent Variables is 0.876. This indicates a weak association between variables.

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