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. When testing whether Temperature is significant at the 5% significance level, she ________.
A) rejects H0: β2 = 0, and concludes that Temperature is significant
B) does not reject H0: β2 = 0, and concludes that Temperature is significant
C) rejects H0: β2 = 0, and cannot conclude that Temperature is significant
D) does not reject H0: β2 = 0, and cannot conclude that Temperature is significant
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