A sports analyst wants to exam the factors that may influence a tennis player's chances of winning. Over four tournaments, he collects data on 30 tennis players and estimates the following model: Win = β₀ + β₁Double Faults + β₂Aces + ε, where Win is the proportion of winning, Double Faults is the percentage of double faults made, and Aces is the number of aces. A portion of the regression results are shown in the accompanying table. When testing whether the explanatory variables are jointly significant at the 5% significance level, he ________. 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 concludes 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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The Answer of A sports analyst wants to exam the factors that may influence a tennis player's chances of winning. Over four tournaments, he collects data on 30 tennis players and estimates the following model: Win = β₀ + β₁Double Faults + β₂Aces + ε, where Win is the proportion of winning, Double Faults is the percentage of double faults made, and Aces is the number of aces. A portion of the regression results are shown in the accompanying table. When testing whether the explanatory variables are jointly significant at the 5% significance level, he ________. 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 concludes that the explanatory variables are jointly significant D) does not reject H₀, and cannot conclude that the explanatory variables are jointly significant

A Sports Analyst Wants to Exam the Factors That May