Run chapter 2 codes on the WestRoxbury dataset. With that knowledge and experience create a new dataframe called realestate.df and answer the following questions. Your output should be screenshots pasted into a document when necessary. (50 points)
Data Pre-exploration (5 Points)
Load dataset in R studio and answer the following:
Run code to show the following.
Sampling (5 Points)
Run code to sample 50 observations from the realestate.df
Categorical variables (10 points)
Use the installed dummies package and dummies library to convert all categorical variables to dummy or binary values.
Show the first ten rows of the 11th to 14th columns.
Data partition (10 points)
Partition realestate.df into training data (60%) and validation data (40%). Use set.seed(5) to get the same partitions.
Regression model (20 points)
Fit regression model to training data. Use variable Total_Value as response and all the other variables as predictors.
What are the values of the model evaluation metrics?
Problems (starting at pg 49)
Problem 2.1 (10 points)
Problem 2.2 (10 points)
Problem 2.5 (15 points)
Problem 2.10 (15points)
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