The data for this assignment is available at https://www.kaggle.com/datasets/sukhmandeepsinghbrar/housing-price-dataset?select=Housing.csv
The question we are asking is; Can you predict the price/value as a function of the square foot living area of the house? To do this you will download the dataset above. This dataset can be easily imported into Python for analysis.
You should first plot the Price vs. sqft_living to see if there is any visible correlation between the 2 variables. Next you would want to perform a regression analysis (simple linear).
Based on the results can you support the statement that the living square footage of the home is useful in predicting the price. What other variables might we incorporate into the prediction. Please note: There are different analyses available from people who use Kaggle on the kaggle page for this dataset. These would contains some insight.
Create an engineering report of your results. In the conclusions discuss how you might make any predictions more accurate.