The following table shows data on average per capita (per person) wine consumption and heart disease rate in a random sample of 10 countries. Yearly wine Death from heart consumption in diseases liters 2.5 221 3.9 167 2.9 131 2.4 191 2.9 220 0.8 297 9.1 71 2.7 172 0.8 211 0.7 300 r: 0.836 Compute a correlation coefficient (r) between these two variables and interpret it. Interpretation: The obtained value of correlation shows negative correlation between two variables. Но: р-0 Ha: p cannot equal 0 t-statistic P-value |-4.307 0.0026 or critical r value(s) Does the data provide convincing evidence that there is a linear relationship between the 0.05 amount of alcohol consumed and the heart disease death rate? Carry out an appropriate test at a significance level of 0.05. You can use either t-statistic or critical values for your test. Conclustion: No correlation between thetwo variables
The following table shows data on average per capita (per person) wine consumption and heart disease rate in a random sample of 10 countries. Yearly wine Death from heart consumption in diseases liters 2.5 221 3.9 167 2.9 131 2.4 191 2.9 220 0.8 297 9.1 71 2.7 172 0.8 211 0.7 300 r: 0.836 Compute a correlation coefficient (r) between these two variables and interpret it. Interpretation: The obtained value of correlation shows negative correlation between two variables. Но: р-0 Ha: p cannot equal 0 t-statistic P-value |-4.307 0.0026 or critical r value(s) Does the data provide convincing evidence that there is a linear relationship between the 0.05 amount of alcohol consumed and the heart disease death rate? Carry out an appropriate test at a significance level of 0.05. You can use either t-statistic or critical values for your test. Conclustion: No correlation between thetwo variables
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 2AGP
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