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Building Linear Regression Models

What is regression? In the dictionary, the word regression basically means 'to go back'. In terms of statistics too, the meaning is not too different - it means 'to go back to the past data to explain the process that generates the data'. In statistics, a model is a...

Using Central Tendency Measures to Describe Data

The term central tendency refers to some values that tend to describe the centre of the complete data set. There are different measures of central tendency. Each of them give us one single number that attempts to summarise the entire data set within itself. Why do we...

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...

Measuring the Spread of Data

We have already seen how it is easier to describe data using a single measure of central tendency, such as, average. Now, take a look at the following data: The average score for both students is equal. However, John is consistent at everything, while Arun is...

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...

The Basics

Statistics Stuff

Creating Models with Data