A real estate appraiser is developing a regression model to predict the market value of single family residential houses as a function of heated area, number of bedrooms, number of bathrooms, age of the house, and central heating (yes, no). The response variable in this model is .

a. heated area
b. number of bedrooms
c. market value
d. central heating
e. residential houses

C. market value.

Step-by-step explanation:

The response variable is such variable which is intended to be measure and is related to other variables (responsive variables). In this case, the responsive variable is the market value of single familiy residential houses. So, the answer is C.

-362

step-by-step explanation:

(12)(4)+2(12)-34(12)+2(12)-3

  \/         \/         \/         \/

  48 +   24 -   408 + 24 - 3

      \   /               \   /

          72     -     432 - 3 = -363