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Data Science Linear Regression Table Info

We are looking to build a generalized model in the form of y=mx+b, where b is the intercept and m is the slope of the line.

The "Information Part" in Regression Table

  • Dep. Variable: is short for "Dependent Variable". Calorie_Burnage is here the dependent variable. The Dependent variable is here assumed to be explained by Average_Pulse.
  • Model: OLS is short for Ordinary Least Squares. This is a type of model that uses the Least Square method.
  • Date: and Time: shows the date and time the output was calculated in Python.

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