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 0.330 0.270 0.340 0.248 0.367 0.269 y 3.1 7.5 4.0 8.6 3.1 11.1   Σx = 1.824, Σy = 37.4, Σx2 = 0.565954, Σy2 = 288.64, Σxy = 10.6644, and r ≈ -0.884.     (b) Use a 1% level of significance to test the claim that ? ≠ 0. (Use 2 decimal places.) t   critical t ±  Conclusion? Reject the null hypothesis, there is sufficient evidence that ? differs from 0. Reject the null hypothesis, there is insufficient evidence that ? differs from 0.     Fail to reject the null hypothesis, there is insufficient evidence that ? differs from 0. Fail to reject the null hypothesis, there is sufficient evidence that ? differs from 0. (c) Se ≈ 1.7400, a ≈ 24.943, and b ≈ -61.547

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section: Chapter Questions
Problem 8CR
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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 0.330 0.270 0.340 0.248 0.367 0.269
y 3.1 7.5 4.0 8.6 3.1 11.1

 

Σx = 1.824, Σy = 37.4, Σx2 = 0.565954, Σy2 = 288.64, Σxy = 10.6644, and r ≈ -0.884.
 
 

(b) Use a 1% level of significance to test the claim that ? ≠ 0. (Use 2 decimal places.)
t  
critical t ±  
Conclusion?
Reject the null hypothesis, there is sufficient evidence that ? differs from 0.
Reject the null hypothesis, there is insufficient evidence that ? differs from 0.    
Fail to reject the null hypothesis, there is insufficient evidence that ? differs from 0.
Fail to reject the null hypothesis, there is sufficient evidence that ? differs from 0.


(c) Se ≈ 1.7400, a ≈ 24.943, and b ≈ -61.547.


(d) Find the predicted percentage  of strikeouts for a player with an x = 0.334 batting average. (Use 2 decimal places.)
 

(e) Find a 95% confidence interval for y when x = 0.334. (Use 2 decimal places.)
lower limit  %
upper limit  %

(f) Use a 1% level of significance to test the claim that ? ≠ 0. (Use 2 decimal places.)
t  
critical t ±  
Conclusion?
Reject the null hypothesis, there is sufficient evidence that ? differs from 0.
Reject the null hypothesis, there is insufficient evidence that ? differs from 0.    
Fail to reject the null hypothesis, there is insufficient evidence that ? differs from 0.
Fail to reject the null hypothesis, there is sufficient evidence that ? differs from 0.


(g) Find a 95% confidence interval for ? 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 increases 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 outside the confidence interval.
For every unit increase in batting average, the percentage strikeouts decreases by an amount that falls within the confidence interval.
Expert Solution
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Dear student, We are allowed three subparts , Please ask the remaining part separately

 

x y xy x2 y2  
0.33 3.1 1.023 0.1089 9.61  
0.27 7.5 2.025 0.0729 56.25  
0.34 4 1.36 0.1156 16  
0.248 8.6 2.1328 0.061504 73.96  
0.367 3.1 1.1377 0.134689 9.61  
0.269 11.1 2.9859 0.072361 123.21  
1.824 37.4 10.6644 0.565954 288.64 Total
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