Like father, like son: In 1906, the statistician Karl Pearson measured the heights of 1078 pairs of fathers and sons. The following table presents a sample of 6 pairs, with height measured in inches, simulated from the distribution specified by Pearson. Father's Son's height height 70.8 69.8 70.7 71.0 70.1 73.3 73.6 76.5 65.7 70.9 72.4 69.1 Send data to Excel The least-squares regression line y =b,+b,x=47.8026+0.3397x and E (x-x) =36.5350 are known for this data. Use the critical value method to test H:B, =0 versus H, :B, #0. Can you conclude that the father's height is useful in predicting the son's height? Use the a=0.01 level of significance. Part: 0 / 4 Part 1 of 4
Like father, like son: In 1906, the statistician Karl Pearson measured the heights of 1078 pairs of fathers and sons. The following table presents a sample of 6 pairs, with height measured in inches, simulated from the distribution specified by Pearson. Father's Son's height height 70.8 69.8 70.7 71.0 70.1 73.3 73.6 76.5 65.7 70.9 72.4 69.1 Send data to Excel The least-squares regression line y =b,+b,x=47.8026+0.3397x and E (x-x) =36.5350 are known for this data. Use the critical value method to test H:B, =0 versus H, :B, #0. Can you conclude that the father's height is useful in predicting the son's height? Use the a=0.01 level of significance. Part: 0 / 4 Part 1 of 4
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![Like father, like son: In l1906, the statistician Karl Pearson measured the heights of 1078 pairs of fathers and sons. The following table presents a sample of 6
pairs, with height measured in inches, simulated from the distribution specified by Pearson.
Father's
Son's
height
height
70.8
69.8
70.7
71.0
70.1
73.3
73.6
76.5
65.7
70.9
72.4
69.1
Send data to Excel
The least-squares regression line y =b,+b,x=47.8026+0.3397x and E (x- x
= 36.5350 are known for this data. Use the critical value method to test
H:B, =0 versus H, : B, +0. Can you conclude that the father's height is useful in predicting the son's height? Use the a=0.01 level of significance.
Part: 0 / 4
Part 1 of 4](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F231fae22-ac62-4382-9eb0-95d912af77d1%2Fed79262d-d005-4dd5-97e8-84799d16d469%2F0slsl05_processed.png&w=3840&q=75)
Transcribed Image Text:Like father, like son: In l1906, the statistician Karl Pearson measured the heights of 1078 pairs of fathers and sons. The following table presents a sample of 6
pairs, with height measured in inches, simulated from the distribution specified by Pearson.
Father's
Son's
height
height
70.8
69.8
70.7
71.0
70.1
73.3
73.6
76.5
65.7
70.9
72.4
69.1
Send data to Excel
The least-squares regression line y =b,+b,x=47.8026+0.3397x and E (x- x
= 36.5350 are known for this data. Use the critical value method to test
H:B, =0 versus H, : B, +0. Can you conclude that the father's height is useful in predicting the son's height? Use the a=0.01 level of significance.
Part: 0 / 4
Part 1 of 4
![65.7
70.9
72.4
69.1
Send data to Excel
The least-squares regression line y=b,+b,x=47.8026+0.3397x and E (x- x) =36.5350 are known for this data. Use the critical value method to test
Ho:B, =0 versus H, : B, +0. Can you conclude that the father's height is useful in predicting the son's height? Use the a=0.01 level of significance.
Part: 0 / 4
Part 1 of 4
Find the critical value(s). Round the answer to three decimal places. If there is more than one critical value, separate them with commas.
Critical value(s):
0,0,..](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F231fae22-ac62-4382-9eb0-95d912af77d1%2Fed79262d-d005-4dd5-97e8-84799d16d469%2F2rbe7nf_processed.png&w=3840&q=75)
Transcribed Image Text:65.7
70.9
72.4
69.1
Send data to Excel
The least-squares regression line y=b,+b,x=47.8026+0.3397x and E (x- x) =36.5350 are known for this data. Use the critical value method to test
Ho:B, =0 versus H, : B, +0. Can you conclude that the father's height is useful in predicting the son's height? Use the a=0.01 level of significance.
Part: 0 / 4
Part 1 of 4
Find the critical value(s). Round the answer to three decimal places. If there is more than one critical value, separate them with commas.
Critical value(s):
0,0,..
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