In cLISP:

Please implement a simple linear regression model by providing a following: Implement the functions Mean and Variance that calculate mean and variance Use the data that is returned by the Mean and Variance function and implement a function Covariance, that will calculate covariance Use the all previous implemented functions, and develop a function called CalculateCoefficients. Function CalculateCoefficients will take the dataset as an argument and returns the coefficients. Implement a function SimpleLinearRegression that implements the prediction equation to make predictions on a test dataset. To make predictions, use The coefficients prepared from the training data.