Download the real estate dataset from the Kaggle link
(a) Perform exploratory data analysis and identify the parameters.
(b) Design a linear regressor to predict the price of the house using only TWO
(2) parameters. Specify the linear regression equation obtained from learning the dataset. Explain what you infer from observing the linear regression equation.
Note: You are required to select the best TWO (2) parameters and justify your selection.
(c) Assess the performance of the linear regressor by getting the relevant performance metrics. You need to provide any THREE (3) metrics and explain the importance of these metrics.