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. Σx = 438, Σy = 275, Σx² = 32264, Σy² = 12727, Σxy = 20231, and r ≈ 0.827.

x 67 64 75 86 73 73

y 42 39 48 51 44 51

Use a 5% level of significance to test the claim that ρ > 0. (Round your answers to two decimal places.)

t

critical t

Conclusion

Reject the null hypothesis, there is sufficient evidence that ρ > 0.

Reject the null hypothesis, there is insufficient evidence that ρ > 0.

Fail to reject the null hypothesis, there is insufficient evidence that ρ > 0.

Fail to reject the null hypothesis, there is sufficient evidence that ρ > 0.

S_e ≈ 3.1191, a ≈ 6.564, b ≈ 0.5379, and x ≈ 73.000.

Find the predicted percentage  of successful field goals for a player with x = 73% successful free throws. (Round your answer to two decimal places.)
%

Find a 90% confidence interval for y when x = 73. (Round your answers to one decimal place.)

lower limit %

upper limit %

Use a 5% level of significance to test the claim that β > 0. (Round your answers to two decimal places.)

t

critical t

Conclusion

Reject the null hypothesis, there is sufficient evidence that β > 0.

Reject the null hypothesis, there is insufficient evidence that β > 0.

Fail to reject the null hypothesis, there is insufficient evidence that β > 0.

Fail to reject the null hypothesis, there is sufficient evidence that β > 0.

Find a 90% confidence interval for β. (Round your answers to three decimal places.)

lower limit

upper limit

Interpret its meaning.

For every percentage increase in successful free throws, the percentage of successful field goals increases by an amount that falls outside the confidence interval.

For every percentage increase in successful free throws, the percentage of successful field goals increases by an amount that falls within the confidence interval.

For every percentage increase in successful free throws, the percentage of successful field goals decreases by an amount that falls outside the confidence interval.

For every percentage increase in successful free throws, the percentage of successful field goals decreases by an amount that falls within the confidence interval.

Name: Let x be a random variable that represents the percentage of successfu
Uploaded: 2024-03-20T07:06:41.000Z
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Description: 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 play

Question

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. Σx = 438, Σy = 275, Σx² = 32264, Σy² = 12727, Σxy = 20231, and r ≈ 0.827.

x	67	64	75	86	73	73
y	42	39	48	51	44	51

Use a 5% level of significance to test the claim that ρ > 0. (Round your answers to two decimal places.)

t
critical t

Conclusion

Reject the null hypothesis, there is sufficient evidence that ρ > 0.

Reject the null hypothesis, there is insufficient evidence that ρ > 0.

Fail to reject the null hypothesis, there is insufficient evidence that ρ > 0.

Fail to reject the null hypothesis, there is sufficient evidence that ρ > 0.

S_e ≈ 3.1191, a ≈ 6.564, b ≈ 0.5379, and x ≈ 73.000.

Find the predicted percentage of successful field goals for a player with x = 73% successful free throws. (Round your answer to two decimal places.)
%

Find a 90% confidence interval for y when x = 73. (Round your answers to one decimal place.)

lower limit	%
upper limit	%

Use a 5% level of significance to test the claim that β > 0. (Round your answers to two decimal places.)

t
critical t

Conclusion

Reject the null hypothesis, there is sufficient evidence that β > 0.

Reject the null hypothesis, there is insufficient evidence that β > 0.

Fail to reject the null hypothesis, there is insufficient evidence that β > 0.

Fail to reject the null hypothesis, there is sufficient evidence that β > 0.

Find a 90% confidence interval for β. (Round your answers to three decimal places.)

lower limit
upper limit

Interpret its meaning.

For every percentage increase in successful free throws, the percentage of successful field goals increases by an amount that falls outside the confidence interval.

For every percentage increase in successful free throws, the percentage of successful field goals increases by an amount that falls within the confidence interval.

For every percentage increase in successful free throws, the percentage of successful field goals decreases by an amount that falls outside the confidence interval.

For every percentage increase in successful free throws, the percentage of successful field goals decreases by an amount that falls within the confidence interval.

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