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The Following Data Show the Demand for an Airline Ticket

Question 39

Multiple Choice

The following data show the demand for an airline ticket dependent on the price of this ticket. The following data show the demand for an airline ticket dependent on the price of this ticket. For the assumed cubic and log-log regression models, Demand = β<sub>0</sub> + β<sub>1</sub>Price + β<sub>2</sub>Price<sup>2 </sup>+ β<sub>3</sub>Price<sup>3 </sup>+ ε and ln(Demand) = β<sub>0</sub> + β<sub>1</sub>ln(Price) + ε, the following regression results are available. Assuming that the sample correlation coefficient between Demand and = exp(26.3660 - 3.2577 ln(Price) + (0.2071) <sup>2</sup>/2) is 0.956, what is the percentage of variations in Demand explained by the log-log regression model? A) 98.52% B) 98.50% C) 91.39% D) 97.93% For the assumed cubic and log-log regression models, Demand = β0 + β1Price + β2Price2 + β3Price3 + ε and ln(Demand) = β0 + β1ln(Price) + ε, the following regression results are available. The following data show the demand for an airline ticket dependent on the price of this ticket. For the assumed cubic and log-log regression models, Demand = β<sub>0</sub> + β<sub>1</sub>Price + β<sub>2</sub>Price<sup>2 </sup>+ β<sub>3</sub>Price<sup>3 </sup>+ ε and ln(Demand) = β<sub>0</sub> + β<sub>1</sub>ln(Price) + ε, the following regression results are available. Assuming that the sample correlation coefficient between Demand and = exp(26.3660 - 3.2577 ln(Price) + (0.2071) <sup>2</sup>/2) is 0.956, what is the percentage of variations in Demand explained by the log-log regression model? A) 98.52% B) 98.50% C) 91.39% D) 97.93% Assuming that the sample correlation coefficient between Demand and The following data show the demand for an airline ticket dependent on the price of this ticket. For the assumed cubic and log-log regression models, Demand = β<sub>0</sub> + β<sub>1</sub>Price + β<sub>2</sub>Price<sup>2 </sup>+ β<sub>3</sub>Price<sup>3 </sup>+ ε and ln(Demand) = β<sub>0</sub> + β<sub>1</sub>ln(Price) + ε, the following regression results are available. Assuming that the sample correlation coefficient between Demand and = exp(26.3660 - 3.2577 ln(Price) + (0.2071) <sup>2</sup>/2) is 0.956, what is the percentage of variations in Demand explained by the log-log regression model? A) 98.52% B) 98.50% C) 91.39% D) 97.93% = exp(26.3660 - 3.2577 ln(Price) + (0.2071) 2/2) is 0.956, what is the percentage of variations in Demand explained by the log-log regression model?


A) 98.52%
B) 98.50%
C) 91.39%
D) 97.93%

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