Consider the regression equation for predicting house price (in thousands of $) using size (thousands of square feet), bedrooms, bathrooms, and distance to a rail trail (in miles): price = 200 + 150(size) + 20(Bathrooms) - 10(Bedrooms) - 20(distance) Fill in the drop downs for the correct interpretation for the coefficient of Bedrooms: Holding size, bathrooms and distance for each bedroom(s) added to a house, the V price by [ist} }] thousand dollars.Holding size, bathrooms and distance [Em V bedro [] V , for each at 0 constant at 1 V thousand dollars. Holding size, bathrooms and distance , for each [ist}#] bedroom(s) added to a house, the v [it} 7] additional by [ist1 4 ] thousand dollars. 10 200Holding size, bathrooms and distance [t/2%] V , for each [g] V bedroom[s) added to a house, the [53%] V price [g] V by [@132] population predicted average sample Holding size, bathrooms and distance [@355] V , for each [g] V bedroom(s) added to a house, the [53%] price [g] V by [i532] V thousand dollars. -_ [g] - increases decreases Holding size, bathrooms and distance ll V , for each [l V bedroomls) added to a house, the \"5&1 price ll V by l&l V thousand dollars