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A Researcher Analyzes the Factors That May Influence Amusement Park

Question 106

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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 are jointly significant at the 5% significance level, the researcher ________. A)  rejects H<sub>0</sub>, and concludes that the explanatory variables are jointly significant B)  does not reject H<sub>0</sub>, and concludes that the explanatory variables are jointly significant C)  rejects H<sub>0</sub>, and cannot conclude that the explanatory variables are jointly significant D)  does not reject H<sub>0</sub>, and cannot conclude that the explanatory variables are jointly significant When testing whether the explanatory variables are jointly significant at the 5% significance level, the researcher ________.


A) rejects H0, and concludes that the explanatory variables are jointly significant
B) does not reject H0, and concludes that the explanatory variables are jointly significant
C) rejects H0, and cannot conclude that the explanatory variables are jointly significant
D) does not reject H0, and cannot conclude that the explanatory variables are jointly significant

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