In a recent year data was collected on houses that at that time were for sale in Gainesville.This data included asking price and several other variables associated with each house.In this project you will determine if these variables are a good predictor of price by both examining and running regression analyses to predict PRICE from a given variable.

You will analyze the variableCommute - the commute time by car to Reitz Union Driveby running a regression analysis using this variable to predict price.

data : Commute.xlsx

Commute Price 19 108990 23 729900 28 549000 15 399000 28 699000 14 189000 10 344000 12 110000 18 154200 16 184900 27 599900 20 599900 21 899000 19 219000 16 275000 21 299900 18 150000 26 115000 18 368000 27 170000 10 345000 11 169500 9 199000 21 159900 24 259995 19 140000 4 372180 26 1048700 22 315909 19 120000 17 189000 20 279900 18 99900 17 154900 21 469900 12 270000 30 1048700 25 187500 13 119000 21 455000 12 45600 17 168500 22 415707 19 140000 15 119995 14 85000 18 349000 26 879000 20 35000021 145000 20 468704 16 199900 28 469900 24 145000 30 187500 22 550000 8 399900 13 229000 21 482650 24 299000 11 499895 19 279900 29 230000 28 219000 15 55000 21 264000 27 464725 27 199500 15 345000 11 274900 13 214900 22 599900 19 399900 18 169900 20 355000 17 240000 8 189900 12 316000 11 279000