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A Sports Analyst Wants to Exam the Factors That May

Question 116

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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. 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 = β<sub>0</sub> + β<sub>1</sub>Double Faults + β<sub>2</sub>Aces + 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 H<sub>0</sub>, and concludes that the explanatory variables are jointly significant B)  does not reject H<sub>0</sub>, and concludes that the explanatory variables are jointly significant C)  rejects H<sub>0</sub>, and cannot concludes that the explanatory variables are jointly significant D)  does not reject H<sub>0</sub>, and cannot conclude that the explanatory variables are jointly significant 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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