Co-relational Methods A confounding variable is an unconnected variable in a numerical model that either positively or negatively shows a relationship with both the dependent variable as well as the independent variable (Johnston, 2001). The perception of the relationship between the dependent and the independent variable has always been misapproximated as a result of failure to give an account of a confounding feature known as the spurious relationship and failure in approximation in this case is termed as omitted variable bias. Correlation on the other hand is an evaluation of two continuous statistical variables.
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