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
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
Transcribed Image Text: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

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