use data (attached) to solve the following questions using Excel
(1)Eliminate duplexes and properties with prices over $850,000 from the data. Eliminate non- numeric variables and redundant variables from the data.
(2)Which variable correlates most strongly with price?
(3) Find the regression lineY=β0 β1xwith the variable chosen in the previous problem. [The lm function in R or the Analysis ToolPak add-in for Excel will do ]
For the remaining problems, consider the following variables associated with each property.
x1= number of bedroomsx2= number of bathroomsx3= number of stories
x4= square footage
x5= house has pool?
(4) Construct the multivariable least squares model with predictorsx1, x2, x3, x4, x5. [First, con- vertx5to binary.]
(5) Use a hypothesis test to determine if the model is useful for predicting home values at a levelα. State thep-value and interpret.
(6) Are any variables not useful predictors of home price at significance levelα= 0.05? State thep-values of any rejected variables. What does this mean practically?