House prices are subject to a variety of economic factors but are, to some extent, based on the living area of the house. Analv513 examined the recent sales of 1001] homes and tound the correlation to be 0.36. Alter examining a scatterplot, they decide a linear model is appropriate and t a regression model to predict House Price (5] from Living Area (sq. ft]. Complete parts a through c. E) a] What units does the slope have? C} A. Living area per price O B. Thousands of houses sold per price O C. Dollars per thousands of houses sold O D. Dollars per square foot b] What is the R2 value for the model? R2 = Cl (Type an integer or a decimal.) c} What would you predict about the Price of a house that is two standard deviations larger in Living Area than the mean? O A. The mice would be two standard deviations above the mean price. O B. The mice would be 1.?20 standard deviations above the mean price. O C. The mice would be 0.?395 standard deviations above the mean price. O D. There is not enough infolmation to make a prediction