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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 8 pairs, with height measured in inches, simulated from the distribution specified by Pearson. Father's height Son's height 70.8 69.8 70.7 71.0 72.3 71.9 69.3 71.4 70.1 73.3 69.0 69.1 73.6 76.5 69.1 71.8 Send data to Excel The least-squares regression line y=b,+b,x=4.3121+0.9565x and 2 (x- x)¯=18.6888 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

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 8 pairs, with height measured in inches, simulated from the distribution specified by Pearson. Father's height Son's height 70.8 69.8 70.7 71.0 72.3 71.9 69.3 71.4 70.1 73.3 69.0 69.1 73.6 76.5 69.1 71.8 Send data to Excel The least-squares regression line y=b,+b,x=4.3121+0.9565x and 2 (x- x)¯=18.6888 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

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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69.3 71.4 70.1 73.3 69.0 69.1 73.6 76.5 69.1 71.8 Send data to Excel The least-squares regression line y =b,+b,x=4.3121 +0.9565x and E (x-x, =18.6888 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,..
Transcribed Image Text:69.3 71.4 70.1 73.3 69.0 69.1 73.6 76.5 69.1 71.8 Send data to Excel The least-squares regression line y =b,+b,x=4.3121 +0.9565x and E (x-x, =18.6888 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,..
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 8 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 72.3 71.9 69.3 71.4 70.1 73.3 69.0 69.1 73.6 76.5 69.1 71.8 Send data to Excel 2 The least-squares regression line y =b,+b,x=4.3121+0.9565x and E (x- ) = 18.6888 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
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 8 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 72.3 71.9 69.3 71.4 70.1 73.3 69.0 69.1 73.6 76.5 69.1 71.8 Send data to Excel 2 The least-squares regression line y =b,+b,x=4.3121+0.9565x and E (x- ) = 18.6888 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
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