Determine if there is significant linear correlation at the alpha = 0.05 significance level. This is a hypothesis test for linear correlation between Foot length and Height. You can find the p-value using your calculator and the LinRegTTest command, since you have typed both lists into your calculator for question 1, or read off the p-value from the excel output. State the p-value. State the decision to reject the null hypothesis (that rho = zero) or not. State the conclusion of the hypothesis test. Foot length Height 27.8 170.5 25.7 175.3 26.7 184.8 25.9 177.8 26.4 182.3 29.2 185.4 26.8 180.3 28.1 175.3 25.4 177.8 27.9 185.4 27.5 190.5 28.8 195 26.7 175.3 26.7 175.1 25.1 172.7 28.7 182.9 29.2 189.2 27.9 185.4 28.6 193.7 23.2 165.1 24.3 166.4 26 177.8 23.8 167.6 25.1 168.3 25.4 165.7 21.9 165.1 26.2 165.1 23.8 165.1 22.2 160.2 24.6 162.6 24.6 179.1 23.7 175.9 25.6 166.4 24.1 167.6 23.8 160.1

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.1: Measures Of Center
Problem 9PPS
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Determine if there is significant linear correlation at the alpha = 0.05 significance level. This is a hypothesis test for linear correlation between Foot length and Height. You can find the p-value using your calculator and the LinRegTTest command, since you have typed both lists into your calculator for question 1, or read off the p-value from the excel output. State the p-value. State the decision to reject the null hypothesis (that rho = zero) or not. State the conclusion of the hypothesis test.

Foot length Height
27.8 170.5
25.7 175.3
26.7 184.8
25.9 177.8
26.4 182.3
29.2 185.4
26.8 180.3
28.1 175.3
25.4 177.8
27.9 185.4
27.5 190.5
28.8 195
26.7 175.3
26.7 175.1
25.1 172.7
28.7 182.9
29.2 189.2
27.9 185.4
28.6 193.7
23.2 165.1
24.3 166.4
26 177.8
23.8 167.6
25.1 168.3
25.4 165.7
21.9 165.1
26.2 165.1
23.8 165.1
22.2 160.2
24.6 162.6
24.6 179.1
23.7 175.9
25.6 166.4
24.1 167.6
23.8 160.1
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