Let y represent house price measured in thousand dollars. Let x and x2 represent the logarithm of land size measured in square meters and number of bedrooms, respectively. Suppose the estimated model is In (9) = 10 + 2X,+ 0.1X. Which of the following statements is the most accurate? O a. The house price is predicted to increase by 10 per cent for every 1 per cent increase of number of bedrooms holding land size constant. O b. The house price is predicted to be 10 thousand dollars when land size is O and number of bedrooms is O. O c. The house price is predicted to increase by 2 thousand dollars for every 1 per cent increase of land size holding number of bedrooms constant. O d. The house price is predicted to increase by 2 per cent for every 1 per cent increase of land size holding number of bedrooms constant. O e. None of the answers provided.
Let y represent house price measured in thousand dollars. Let x and x2 represent the logarithm of land size measured in square meters and number of bedrooms, respectively. Suppose the estimated model is In (9) = 10 + 2X,+ 0.1X. Which of the following statements is the most accurate? O a. The house price is predicted to increase by 10 per cent for every 1 per cent increase of number of bedrooms holding land size constant. O b. The house price is predicted to be 10 thousand dollars when land size is O and number of bedrooms is O. O c. The house price is predicted to increase by 2 thousand dollars for every 1 per cent increase of land size holding number of bedrooms constant. O d. The house price is predicted to increase by 2 per cent for every 1 per cent increase of land size holding number of bedrooms constant. O e. None of the answers provided.
Chapter6: Exponential And Logarithmic Functions
Section6.8: Fitting Exponential Models To Data
Problem 3TI: Table 6 shows the population, in thousands, of harbor seals in the Wadden Sea over the years 1997 to...
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