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Exhibit 16

Question 72

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Exhibit 16.5.The following data shows the demand for an airline ticket dependent on the price of this ticket. Exhibit 16.5.The following data shows 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:   Refer to Exhibit 16.5.What is the percentage of variations in ln(Demand) explained by the log-log regression equation? 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: Exhibit 16.5.The following data shows 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:   Refer to Exhibit 16.5.What is the percentage of variations in ln(Demand) explained by the log-log regression equation? A) 98.52% B) 98.50% C) 91.39% D) 97.93% Refer to Exhibit 16.5.What is the percentage of variations in ln(Demand) explained by the log-log regression equation?


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

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