Covariance Matrix, Regression Analysis, Standard Error, Confidence Interval, Hands On Tutorials.
regression ‘e’. The residual error of regression is the difference between the observed value of the dependent variable (City_MPG) and the value predicted by the fitted regression model. Here is the Python code for implementing the above bootstrapping algorithm: Let’s view the results of our