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=?0+?1xwith 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 storiesx4= square footagex5= 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 level?. State thep-value and interpret.(6) Are any variables not useful predictors of home price at significance level?= 0.05? State thep-values of any rejected variables. What does this mean practically?