To examine the linear correlation between adult age and weight, data was collected from 9 adults. See the table below. Age Weight (Years) (pounds) 25 217 26 202 28 226 39 200 41 128 43 157 46 225 54 186 56 152 Does this result suggest that the correlation is statistically significant? Use a = 0.10. Important Note: Round your value for r to three decimals before computing the STS. DO NOT use the built- in LinRegTTest on a calculator because you might get marked wrong. When computing the P-value, use the rounded STS. cor O Even if the correlation is found to be statistically significant, that does not necessarily mean that changes in x cause changes iny 1. Select the correct statement: O If the correlation is found to be statistically significant, that means that changes in x cause changes in y The hypotheses are: O Ho:p > 0; Ha:p < 0 - 0: Ha: e > 0

To examine the linear correlation between adult age and weight, data was collected from 9 adults. See the table below. Age Weight (Years) (pounds) 25 217 26 202 28 226 39 200 41 128 43 157 46 225 54 186 56 152 Does this result suggest that the correlation is statistically significant? Use a = 0.10. Important Note: Round your value for r to three decimals before computing the STS. DO NOT use the built- in LinRegTTest on a calculator because you might get marked wrong. When computing the P-value, use the rounded STS. cor O Even if the correlation is found to be statistically significant, that does not necessarily mean that changes in x cause changes iny 1. Select the correct statement: O If the correlation is found to be statistically significant, that means that changes in x cause changes in y The hypotheses are: O Ho:p > 0; Ha:p < 0 - 0: Ha: e > 0

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 2CYU

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