Let x be a random variable that represents the batting average of a professional baseball player. Let y be a random variable that represents the percentage of strikeouts of a professional baseball player. A random sample of n = 6 professional baseball players gave the following information. x 0.312 0.278 0.340 0.248 0.367 0.269 y 2.8 7.3 4.0 8.6 3.1 11.1 (a) Verify that Σx = 1.814, Σy = 36.9, Σx2 = 0.558782, Σy2 = 283.91, Σxy = 10.5194, and r ≈ -0.829. Σx Σy Σx2 Σy2 Σxy r (b) Use a 1% level of significance to test the claim that ρ ≠ 0. (Use 2 decimal places.) t critical t ± Conclusion Reject the null hypothesis, there is sufficient evidence that ρ differs from 0.Reject the null hypothesis, there is insufficient evidence that ρ differs from 0. Fail to reject the null hypothesis, there is insufficient evidence that ρ differs from 0.Fail to reject the null hypothesis, there is sufficient evidence that ρ differs from 0. (c) Verify that Se ≈ 2.1098, a ≈ 24.750, and b ≈ -61.521. Se a b (d) Find the predicted percentage of strikeouts for a player with an x = 0.286 batting average. (Use 2 decimal places.) %(e) Find a 95% confidence interval for y when x = 0.286. (Use 2 decimal places.) lower limit % upper limit % (f) Use a 1% level of significance to test the claim that β ≠ 0. (Use 2 decimal places.) t critical t ± Conclusion Reject the null hypothesis, there is sufficient evidence that β differs from 0.Reject the null hypothesis, there is insufficient evidence that β differs from 0. Fail to reject the null hypothesis, there is insufficient evidence that β differs from 0.Fail to reject the null hypothesis, there is sufficient evidence that β differs from 0. (g) Find a 95% confidence interval for β and interpret its meaning. (Use 2 decimal places.) lower limit upper limit Interpretation For every unit increase in batting average, the percentage strikeouts decreases by an amount that falls within the confidence interval.For every unit increase in batting average, the percentage strikeouts decreases by an amount that falls outside the confidence interval. For every unit increase in batting average, the percentage strikeouts increases by an amount that falls within the confidence interval.For every unit increase in batting average, the percentage strikeouts increases by an amount that falls outside the confidence interval.
Let x be a random variable that represents the batting average of a professional baseball player. Let y be a random variable that represents the percentage of strikeouts of a professional baseball player. A random sample of n = 6 professional baseball players gave the following information. x 0.312 0.278 0.340 0.248 0.367 0.269 y 2.8 7.3 4.0 8.6 3.1 11.1 (a) Verify that Σx = 1.814, Σy = 36.9, Σx2 = 0.558782, Σy2 = 283.91, Σxy = 10.5194, and r ≈ -0.829. Σx Σy Σx2 Σy2 Σxy r (b) Use a 1% level of significance to test the claim that ρ ≠ 0. (Use 2 decimal places.) t critical t ± Conclusion Reject the null hypothesis, there is sufficient evidence that ρ differs from 0.Reject the null hypothesis, there is insufficient evidence that ρ differs from 0. Fail to reject the null hypothesis, there is insufficient evidence that ρ differs from 0.Fail to reject the null hypothesis, there is sufficient evidence that ρ differs from 0. (c) Verify that Se ≈ 2.1098, a ≈ 24.750, and b ≈ -61.521. Se a b (d) Find the predicted percentage of strikeouts for a player with an x = 0.286 batting average. (Use 2 decimal places.) %(e) Find a 95% confidence interval for y when x = 0.286. (Use 2 decimal places.) lower limit % upper limit % (f) Use a 1% level of significance to test the claim that β ≠ 0. (Use 2 decimal places.) t critical t ± Conclusion Reject the null hypothesis, there is sufficient evidence that β differs from 0.Reject the null hypothesis, there is insufficient evidence that β differs from 0. Fail to reject the null hypothesis, there is insufficient evidence that β differs from 0.Fail to reject the null hypothesis, there is sufficient evidence that β differs from 0. (g) Find a 95% confidence interval for β and interpret its meaning. (Use 2 decimal places.) lower limit upper limit Interpretation For every unit increase in batting average, the percentage strikeouts decreases by an amount that falls within the confidence interval.For every unit increase in batting average, the percentage strikeouts decreases by an amount that falls outside the confidence interval. For every unit increase in batting average, the percentage strikeouts increases by an amount that falls within the confidence interval.For every unit increase in batting average, the percentage strikeouts increases by an amount that falls outside the confidence interval.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Let x be a random variable that represents the batting average of a professional baseball player. Let y be a random variable that represents the percentage of strikeouts of a professional baseball player. A random sample of n = 6 professional baseball players gave the following information.
x | 0.312 | 0.278 | 0.340 | 0.248 | 0.367 | 0.269 |
y | 2.8 | 7.3 | 4.0 | 8.6 | 3.1 | 11.1 |
(a) Verify that Σx = 1.814, Σy = 36.9, Σx2 = 0.558782, Σy2 = 283.91, Σxy = 10.5194, and r ≈ -0.829.
(b) Use a 1% level of significance to test the claim that ρ ≠ 0. (Use 2 decimal places.)
Conclusion
(c) Verify that Se ≈ 2.1098, a ≈ 24.750, and b ≈ -61.521.
(d) Find the predicted percentage of strikeouts for a player with an x = 0.286 batting average. (Use 2 decimal places.)
%
(e) Find a 95% confidence interval for y when x = 0.286. (Use 2 decimal places.)
(f) Use a 1% level of significance to test the claim that β ≠ 0. (Use 2 decimal places.)
Conclusion
(g) Find a 95% confidence interval for β and interpret its meaning. (Use 2 decimal places.)
Interpretation
Σx | |
Σy | |
Σx2 | |
Σy2 | |
Σxy | |
r |
(b) Use a 1% level of significance to test the claim that ρ ≠ 0. (Use 2 decimal places.)
t | |
critical t ± |
Reject the null hypothesis, there is sufficient evidence that ρ differs from 0.Reject the null hypothesis, there is insufficient evidence that ρ differs from 0. Fail to reject the null hypothesis, there is insufficient evidence that ρ differs from 0.Fail to reject the null hypothesis, there is sufficient evidence that ρ differs from 0.
(c) Verify that Se ≈ 2.1098, a ≈ 24.750, and b ≈ -61.521.
Se | |
a | |
b |
(d) Find the predicted percentage of strikeouts for a player with an x = 0.286 batting average. (Use 2 decimal places.)
%
(e) Find a 95% confidence interval for y when x = 0.286. (Use 2 decimal places.)
lower limit | % |
upper limit | % |
(f) Use a 1% level of significance to test the claim that β ≠ 0. (Use 2 decimal places.)
t | |
critical t ± |
Reject the null hypothesis, there is sufficient evidence that β differs from 0.Reject the null hypothesis, there is insufficient evidence that β differs from 0. Fail to reject the null hypothesis, there is insufficient evidence that β differs from 0.Fail to reject the null hypothesis, there is sufficient evidence that β differs from 0.
(g) Find a 95% confidence interval for β and interpret its meaning. (Use 2 decimal places.)
lower limit | |
upper limit |
For every unit increase in batting average, the percentage strikeouts decreases by an amount that falls within the confidence interval.For every unit increase in batting average, the percentage strikeouts decreases by an amount that falls outside the confidence interval. For every unit increase in batting average, the percentage strikeouts increases by an amount that falls within the confidence interval.For every unit increase in batting average, the percentage strikeouts increases by an amount that falls outside the confidence interval.
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 4 steps with 4 images
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Recommended textbooks for you
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman