This is the third time I am submitting. I need to start with d and all those after that. 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 0.314 0.280 0.340 0.248 0.367 0.269 y 3.2 7.4 4.0 8.6 3.1 11.1 (a) Verify that Σx = 1.818, Σy = 37.4, Σx2 = 0.56115, Σy2 = 287.78, Σxy = 10.6932, and r ≈ -0.852. Σx Σy Σx2 Σy2 Σxy r (b) Use a 10% 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 ≈ 1.9362, a ≈ 25.038, and b ≈ -62.063. Se a b (d) Find the predicted percentage of strikeouts for a player with an x = 0.312 batting average. (Use 2 decimal places.) %(e) Find a 95% confidence interval for y when x = 0.312. (Use 2 decimal places.) lower limit % upper limit % (f) Use a 10% 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 increases 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 decreases 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. check_circle Expert Answer thumb_up thumb_down Step 1 Since you have posted a question with multiple sub-parts, we will solve first three sub-parts for you. To get remaining sub-part solved please repost the complete question and mention the sub-parts to be solved. Step 2 Step 3 Step 4 Step 5 Step 6 c) Step 7 Step 8 Step 9 Was this solution helpful? 0 thumb_up

This is the third time I am submitting. I need to start with d and all those after that. 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 0.314 0.280 0.340 0.248 0.367 0.269 y 3.2 7.4 4.0 8.6 3.1 11.1 (a) Verify that Σx = 1.818, Σy = 37.4, Σx2 = 0.56115, Σy2 = 287.78, Σxy = 10.6932, and r ≈ -0.852. Σx Σy Σx2 Σy2 Σxy r (b) Use a 10% 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 ≈ 1.9362, a ≈ 25.038, and b ≈ -62.063. Se a b (d) Find the predicted percentage of strikeouts for a player with an x = 0.312 batting average. (Use 2 decimal places.) %(e) Find a 95% confidence interval for y when x = 0.312. (Use 2 decimal places.) lower limit % upper limit % (f) Use a 10% 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 increases 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 decreases 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. check_circle Expert Answer thumb_up thumb_down Step 1 Since you have posted a question with multiple sub-parts, we will solve first three sub-parts for you. To get remaining sub-part solved please repost the complete question and mention the sub-parts to be solved. Step 2 Step 3 Step 4 Step 5 Step 6 c) Step 7 Step 8 Step 9 Was this solution helpful? 0 thumb_up

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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This is the third time I am submitting. I need to start with d and all those after that.

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	0.314	0.280	0.340	0.248	0.367	0.269
y	3.2	7.4	4.0	8.6	3.1	11.1

(a) Verify that Σx = 1.818, Σy = 37.4, Σx² = 0.56115, Σy² = 287.78, Σxy = 10.6932, and r ≈ -0.852.

Σx
Σy
Σx²
Σy²
Σxy
r

(b) Use a 10% 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.

S_e
a
b

(d) Find the predicted percentage of strikeouts for a player with an x = 0.312 batting average. (Use 2 decimal places.)
%

(e) Find a 95% confidence interval for y when x = 0.312. (Use 2 decimal places.)

lower limit	%
upper limit	%

(f) Use a 10% 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 increases 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 decreases 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.

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