Develop a multiple regression model to predict the price of a home based on square footage and location. (Price is in thousands of dollars.) Include a dummy variable to represent the location (1 = on cul-de-sac, 0 = not on cul-de-sac). The first few lines of data are below: Home Price SqFt Cul-de-sac 1 615.6 3055 yes 2 557.4 2731 yes 3 472.6 2515 yes 4 595.3 3011 yes 5 696.9 3267 no What is the interpretation of Ra²? 91.32% of the variation in Price is being explained by the X’s. 91.32% of the variation in Price is being explained by the X’s once we have taken a penalty for the # X’s using. 92.23% of the variation in Price is being explained by the X’s. 92.23% of the variation in Price is being explained by the X’s once we have taken a penalty for the # X’s using.