Develop a multiple regression model including all the variables to predict the price
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Develop a multiple regression model including all the variables to predict the price

The data set presents a sample of properties in Melbourne, including information about price, condition, postcode, area and the number of bedrooms.

5.1. Develop a multiple regression model including all the variables to predict the price? Interpret the output of the regression model.

5.2. How much is the price of a new property with the postcode of 3003, area of 500 and 5 bedrooms? Is there anything concerning you?

5.3. Considering the developed model, which property provides the best investment opportunity? Present a detailed argument

5.4. Do you think a polynomial degree 2 multiple regression model can be a better model to represent the housing price? Justify your answer.


Hint
Management5.1) In a multiple regression, the impact of numerous explanatory variables on a particular outcome is taken into account. When all other factors in the model are kept constant, it assesses the relative impact of these independent or explanatory variables on the dependent variable. The constant term, along with a number of independent variables and their corresponding coefficients, are u...

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