Introduction to Linear Regression

Linear regression estimates how much variable Y changes with every unit of change in X. The general linear regression equation is represented as follows:

Y = a + bX

Where, X is the independent explanatory variable and Y is the dependent variable. The line has a slope b, and a is the intercept, that is the value of y when x=0.

The following video by Bionic Turtle explains the concept of linear regression in detail.

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Data Science in Finance: 9-Book Bundle

Data Science in Finance Book Bundle

Master R and Python for financial data science with our comprehensive bundle of 9 ebooks.

What's Included:

  • Getting Started with R
  • R Programming for Data Science
  • Data Visualization with R
  • Financial Time Series Analysis with R
  • Quantitative Trading Strategies with R
  • Derivatives with R
  • Credit Risk Modelling With R
  • Python for Data Science
  • Machine Learning in Finance using Python

Each book comes with PDFs, detailed explanations, step-by-step instructions, data files, and complete downloadable R code for all examples.