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Building Nonlinear Regression Models

We have talked about regression models in the context of linear regression models in the previous post. A nonlinear regression model is one that describes a nonlinear relationship between the dependent and the independent variables. Naturally, the equation of the...

The Assumptions in Linear Correlations

Assumptions in linear correlations Given how simple Karl Pearson’s Coefficient of Correlation is, the assumptions behind it are often forgotten. It is important to ensure that the assumptions hold true for your data, else the Pearson’s Coefficient may be...

When Things are Correlated, Do they Cause Each Other?

We’ve talked about how popular the concept of correlation is in business analytics. Causation, and its variants are also used rather commonly. This makes it easy to mistakenly connect the two popular terms and even use them interchangeably. The¬†Latin phrase, cum...