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The Following Data Show the Demand for an Airline Ticket

Question 1

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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.   Which of the following 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. 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.   Which of the following 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% Which of the following 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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