A researcher analyzes the factors that may influence amusement park attendance.She estimates the following model: Attendance = β₀ + β₁ Price + β₂ Temperature + β₃ Rides + ε,whereAttendance is the daily attendance (in 1,000s),Price is the gate price (in $),Temperature is the average daily temperature (in ^oF),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 Rides is significant at the 1% significance level,she ____________________________________________________________. A) rejects H₀:β₃ = 0,and concludes that Rides is significant B) does not reject H₀:β₃ = 0,and concludes that Rides is significant C) rejects H₀:β₃ = 0,and concludes that Rides is not significant D) does not reject H₀:β₃ = 0,and concludes that Rides is not significant

Question

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The table shows that the coefficient estimate for Rides (β₃) is statistically significant at the 1% level (indicated by the "***" next to the coefficient estimate). This means that we can reject the null hypothesis H₀:β₃ = 0 and conclude that Rides is a significant factor in influencing amusement park attendance.

A Researcher Analyzes the Factors That May Influence Amusement Park