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A Researcher Analyzes the Factors That May Influence Amusement Park

question 124

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A researcher analyzes the factors that may influence amusement park attendance. She estimates the following model: Attendance = β0 + β1Price + β2Temperature + β3Rides + ε, where Attendance is the daily attendance (in 1,000s) , Price is the gate price (in $) , Temperature is the average daily temperature (in °F) , and Rides is the number of rides at the amusement park. A portion of the regression results is shown in the accompanying table. A researcher analyzes the factors that may influence amusement park attendance. She estimates the following model: Attendance = β<sub>0</sub> + β<sub>1</sub>Price + β<sub>2</sub>Temperature + β<sub>3</sub>Rides + ε, where Attendance is the daily attendance (in 1,000s) , Price is the gate price (in $) , Temperature is the average daily temperature (in °F) , and Rides is the number of rides at the amusement park. A portion of the regression results is shown in the accompanying table.   When testing whether the explanatory variables Temperature and Rides are jointly significant, the p-value associated with the test is 0.0000. At the 1% significance level, the researcher ________. A)  rejects H<sub>0</sub>, and concludes that at least one of the explanatory variables, Temperature and Rides, is significant in explaining Attendance B)  does not reject H<sub>0</sub>, and concludes that at least one of the explanatory variables, Temperature and Rides, is significant in explaining Attendance C)  rejects H<sub>0</sub>, and cannot conclude that at least one of the explanatory variables, Temperature and Rides, is significant in explaining Attendance D)  does not reject H<sub>0</sub>, and cannot conclude at least one of the explanatory variables, Temperature and Rides, is significant in explaining Attendance When testing whether the explanatory variables Temperature and Rides are jointly significant, the p-value associated with the test is 0.0000. At the 1% significance level, the researcher ________.


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