Linear Regression (y=mx+b)

Linear Regression

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Linear Regression assumes the response variable is continuous. Opposite that of Attributes Data Analysis where you analyze discrete data.

y=mx + b

m is the slope

b is the y axis intercept.

The actual plotted line is called the regression line.

Least Squares Equation can be used to find the values of the coefficients a and b in Yi=a+bXi+Ei

  • Define linear regression
  • Outline the value of linear regression
  • Discuss how to interpret the data



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