Using the output below, answer the following question in regards to predicting the appraised value of a home based on the number of bedrooms, bathrooms, and the age of a home: Regression Statistics Multiple R 0.72014611 R Square 0.518610419 Adjusted R Square 0.497979437 Standard Error 27 27458113 Observations 74 ANOVA of Regression Residual Total SS M S F Significance 3 56099.47164 18699.8239 25.1374568 3.79664E-11 70 52073.19431 743.902776 73 108172 6659 intercept Bed Bath Age Coeficients Standard Error Stet Avalue L ower 95% Ugger 95% 154 0665224 28 34766452 5.43489296 7.5362E-07 97 52893453 210.60411 6.591255168 4344024423 15173154 0.13369054 -2.072621262 15.2551316 37.48358407 6.14184896 6.10298044 5.1503E-08 25 2340626 49.7331055 -0.913756746 0.592680674 .154173535 0.12764675 -2.09582011 026830662 What percentage of variation in the appraised value of a house can be explained by the change in the number of beds, number of baths, and the age of a home? 51.86% 6.59% 37.48% 27.27% 72.01%