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Let x be a random variable that represents the percentage of successful free throws a professional basketball player makes in a season. Let y be

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Let x be a random variable that represents the percentage of successful free throws a professional basketball player makes in a season. Let y be a random variable that represents the percentage of successful field goals a professional basketball player makes in a season. A random sample of n = 6 professional basketball players gave the following information. 83 85 78 79 78 71 56 46 48 52 47 41 Given that Se ~ 4.558, a ~ 16.847, b ~ 0.413, a critical value of 1.555, and x ~ 79, use a 1% level of significance to find the P-Value for when B is greater than zero. Since the P-Value is greater than a = 0.01, we reject the null hypothesis that the population slope B is not zero in favor of the alternate hypothesis that the population slope f is greater than zero. Since the P-Value is greater than a = 0.01, we fail to reject the null hypothesis that the population slope is not zero in favor of the alternate hypothesis that the population slope B is greater than zero. Since the P-Value is equal to a = 0.01, we reject the null hypothesis that the population slope B is not zero in favor of the alternate hypothesis that the population slope S is greater than zero. Since the P-Value is less than a = 0.01, we reject the null hypothesis that the population slope B is not zero in favor of the alternate hypothesis that the population slope B is greater than zero. Since the P-Value is equal to a = 0.01, we fail to reject the null hypothesis that the population slope B is not zero in favor of the alternate hypothesis that the population slope B is greater than zero

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