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Using a linear regression method, we build a model to determine the relationship between independent and dependent variable, and then predict the sales. In the process, we will use a statistical point of view for validation.

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Predict Ecommerce Sales using Linear Regression

Overview

The data used is an ecommerce customer dataset consisting of email, address, avatar, session time and amount spent.

Multiple linear regression analysis is a statistical science tool for measuring the mathematical relationship between more than two independent variables (X) and the dependent variable (Y).

Statistics POV

We use several tests to validate the model including:

  • Overall Test/F-Test
  • Partial Test/T-Test
  • Normality Test
  • Autocorrelation Test
  • Homoscedasticity Test
  • Multicollinearity Test

You can read the article below for further explanation

Medium article | Report file

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Using a linear regression method, we build a model to determine the relationship between independent and dependent variable, and then predict the sales. In the process, we will use a statistical point of view for validation.

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