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Building a Multiple Linear Regression Model

Previously, we have seen situations where an outcome (the dependent variable) is based on a single input variable (independent variable). Sadly, real life is rarely as simple. Most outcomes in real situations are affected by multiple input variables. To...

Talking about Quartiles

Quartiles are a frequently used method to split the data and understand the spread. In general, data can be divided in various groupings such that an equal number of points are in each group. Such groups are formed by cutting at specific points called quantiles. If...

Are All Variables the Same?

Ernest Rutherford The aim of analytics is to find answers to problems. How do we find answers to the problems? We do that using data. When we begin to statistically analyse some data gathered through an experiment, we come across different types of data or variables....

Spearman’s Rank Correlation between Rice and Rainfall

Spearman's Coefficient of Rank Correlation (denoted by rho) is named after the British psychologist, Charles Edward Spearman. Rank correlation is a non-parametric variant of Karl Pearson's Coefficient of Correlation. This means, while Pearson's r requires an...

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...

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