"No one is harder on a talented person than the person themselves" - Linda Wilkinson ; "Trust your guts and don't follow the herd" ; "Validate direction not destination" ;

March 19, 2016

Data Science Tip Day#6 - Linear Regression, Polynomial Regression

We will be renaming the R tips to Data Science Tips moving on. Today we will look at Linear Regression, Polynomial & Variable Interactions. Today's stats class was very useful and interesting. Any topic of interest needs practise to master the fundamentals.

Linear Regression
Assume a Linear Equation y = mx+b
  • Here m is slope, b is intercept value at x = 0
  • Similarly, we use the equation to express relationship between dependent and independent variables
  • In this equation y = mx+b, y is the dependent variable. x is the independent variable
For illustration purpose let's construct some datasets with a two vectors (y,x)

Happy Learning!!!

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