3mmanuelAB/sklearn-with-feature-scaling

An Exercise from The Udemy Data science course. I created a multiple linear regression, using data and standardizing the data. Expectations, Displaying the intercept and coefficient, Finding the R squared and Adjusted R squared, Comparing the R squared and the Adjusted R squared, Using the model to make a prediction about an apartment with size 750 sq. ft. from 2009. Finding the univariate p values of the two variables. What can be said about them? Creating a summary table with your findings. In this exercise, the dependent variable is price, while the independent variables are size and year.