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A Researcher Analyzes the Factors That May Influence Amusement Park

Question 52

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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 error sum of squares for the restricted model is SSE<sub>R</sub><sub> </sub>= 12,343.78. Which of the following is the value of the test statistic when conducting this test? A)  −4.09 B)  25.33 C)  49.58 D)  99.78 When testing whether the explanatory variables Temperature and Rides are jointly significant, the error sum of squares for the restricted model is SSER = 12,343.78. Which of the following is the value of the test statistic when conducting this test?


A) −4.09
B) 25.33
C) 49.58
D) 99.78

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