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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...

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...

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....

What is Linear Correlation?

The analysis of correlation is an extremely useful technique in business. Naturally, correlations are extremely popular in various analyses. Correlation is measured by a coefficient that is a statistical estimation of the strength of relationship between data. The...

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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