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#### use data (attached) to solve the following questions using Excel (1)Eliminate duplexes and properties with prices over \$850,000 from the data

###### Math

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?