For the dataset, HousePrices.csv, load the dataset in Python and answer the following questions / requests, including showing all code used:
1.Describe the dataset using any appropriate descriptive statistics and visuals. [30 marks]
2.Develop a theoretical model, based on prior research, of how house prices are determined based on house features. [20 marks].
This should be no more than about 500 words in writing and no more than about 5 references.
3.Test, using linear regression, your proposed theoretical model to explain house prices and analyse the findings. [20 marks]. It may be necessary, or helpful, to transform some of the variables in the dataset before running these tests.
4.Run all suitable diagnostic tests on the regression specification, making improvements to the regression specification where necessary. Discuss the issues and changes made. [30 marks].
