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: Reyesso Ses MR 072014611 R Sune 0.518610419 Adusted R Souve 0.497979437 Standard Error 27 27458113 Observation 74 ANOVA Regression Retid TON SS SE 356099.47164 16699 6239 25 13745683795640.11 70 52073.1941 74302776 7311001728659 Intercept Bed Bath A. CocaOror A 27 1540665224 20.3476845255109296 750620-07 952093453 210.00415 5.591255168 4344024423 15173154 0.13880054 -2072621262 15 2561316 3748358407 614134896 6.10205044 5.1503-08 252340526 49 7351055 0913785746 0898580374 .154173535 012764615209582011025830562 Which of the following is the correct estimated regression equation for this model: Appraised Value = 6.50 - 154 07*(Bed) - 37 48"(Bath) - 0 91" Age) Beds 154.076.50"Appraised Value) 37.48"(Bed) - 0.91"/Ago) Appraised Value = 154 076 50 Ago). 37 40"(Bed)-091"Bath) Appraised Value - 154.07 +6.59"(Bed) + 37.48"(Bath) 0.91"Agel Ago = 154.07 6:59"(Bath) + 37.48"(Bed)-0.91"Appraised Value)