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Given a housing dataset with Y = Price and possible explanatory variables as Type (house/unit/townhouse), Distance,...

Given a housing dataset with Y = Price and possible explanatory variables as Type (house/unit/townhouse), Distance, Bedroom, Bathroom, Car (carspots), Land size, Building area,
Year Built, Latitude, Longitude, Region Name and you want to conduct a multiple regression model on it.

a) Which parts of this data are categorical and which are quantitative?

b) What would you do to conduct an explanatory data analysis on this data?

c) How would you fit all these variables, categorical and quantitative into a Mutliple Regression Model

Math   Statistics-And-Probability   
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