ample discussed in class and based on the information below, what is the impact on the price of show you the bathrooms SUMMARY OUTPUT AR R Square OR Square Sardo cancer MSS 46.578 674 30100 1360 1068 380.69488 000 5 22.860.371 955 37 39.526 975.71083 42772422 347655 RE Standard Error 5 115 50 302 12.19473 12,354 84 2655 01 BEDROOMS BADOOMS SOFT 56 74 a $48.626 b. $97,252 c. $28,545 d. none of the above From the Regression output below, what is the impact on the quantity demand of water when incomes increase by 3% Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.925 0.856 0.846 0.059 45 ANOVA df SS MS 0.28 81.46 Regression Residual Total 0.85 0.14 0.99 0.00 Intercept PRICE INCOME WEATHER Coefficients 13.040 -0.200 1.500 0.124 Standard Error 0.758 0.063 0.079 0.065 Stat 17.194 -7.904 13.162 1.909 P-value 0.000 0.000 0.000 0.063 A. Increase by 3% B. Decrease by 4.5% C. Increase by 4.5% D. Decrease by 0.6%