Salary Regression   ​​​​​​​Do the following:   1 The lambdas you should have got from the previous lab are given to you.   2 Fit a model with the x and y variables transformed by the lambdas.   3 Print the model summary.   # Import the necessary modules   # Here are the lambdas from the previous problem # (the first represents Experience, and the second represents Salary) lambdas = [0.72298606, 0.63137498]   d = {'Experience': [4,7,1,5,8,10,1,1,6,6,9,2,10,5,6,8,4,6,3,3], 'Salary': [24.0,43.0,23.7,34.3,35.8,38.0,22.2,23.1,30.0,33.0,38.0,26.6, 36.2,31.6,29.0,34.0,30.1,33.9,28.2,30.0]}   df = pd.DataFrame(d)   # Define the transformed values ptX = # Define the transformed X ptY = # Define the transformed X   model = # fit a simple linear regression model using the transformed values   # print the model summary

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Concept of Pointer Parameter

Pointers are the special variable that stores the variable address, instead of storing the variable value. Pointer is a powerful feature of a programming language. A pointer is mostly used to save memory space and improve execution time.