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The 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 inappropriate. The assumptions and requirements...

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....

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...

What-If Analysis Tools in Excel

What-If is a function built in to Microsoft Excel to compute answers to "what if" questions, exactly as the name suggests! A business would be faced many such "what if" questions - "What if we need to earn a profit of Rs. 10000, given that the profit per unit is Rs....

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 Basics

Statistics Stuff

Creating Models with Data