Question: 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,

 Using the output below, answer the following question in regards to

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)

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