Data Science Classroom Series – 24/Nov/2021

Regression Analysis

  • With Regression Analysis we focus on Cause and Effect kind of scenarios Preview
  • Correlation coeffecient: Correlations does not imply causation. Preview
  • Linear Regression: A linear regression is a linear approximation of causal relationship between two or more variables Preview Preview Preview Preview
  • The above formuala is a population formula so, the sample formula is represented as Preview
  • Correlation vs Regression
Correlation Regression
Relationship One variable affects the other
Movement together Cause and effect
p(x,y) = p(y,x) Two way One way
Represented by single point Line
  • Geometrical representation of the linear regression Preview
  • Sample Preview

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