A Researcher Analyzes The Factors That May Influence Amusement Park Attendance She Estimates The Following Model Attend 1 (45.08 KiB) Viewed 20 times
A Researcher Analyzes The Factors That May Influence Amusement Park Attendance She Estimates The Following Model Attend 2 (13.13 KiB) Viewed 20 times
A researcher analyzes the factors that may influence amusement park attendance. She estimates the following model Attendance = Bo + B1 Price + B2 Temperature + B3 Rides + e, 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. F df 3 26 29 Regression Residual Total Significance F 2.18E-14 MS 9,841.47 98.63 SS 29,524.41 2,564.37 32,088.78 Standard Error 40.254 0.294 0.208 0.364 t-stat Coefficients 27.328 -1.201 0.008 3.621 Intercept Price Temperature Rides p-value 0.5032 0.0004 0.9693 2.32E-10 Lower 95% -55.415 -1.805 -0.419 2.874 Upper 95% 110.071 -0.598 0.435 4.369 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?
Multiple Choice -4.09 25.33 49.58 99.78
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