Perform the required correlation test. You may presume that the assumptions for regression inferences are met.
-The sample data below are the index of exposure (x)to radioactive waste for nine different Oregon counties and cancer mortality rate (y)(deaths per 100,000). $$\begin{array} { l l l l l l l l l l } \hline \mathrm { x } & 2.49 & 2.57 & 3.41 & 1.25 & 1.62 & 3.83 & 11.64 & 6.41 & 8.34 \ \hline \mathrm { y } & 147.1 & 130.1 & 129.9 & 113.5 & 137.5 & 162.3 & 207.5 & 177.9 & 210.3 \ \hline \end{array}$$ The sample linear correlation coefficient is r = 0.926. At the 5% significance level, do the data provide sufficient evidence to conclude that index of exposure and cancer mortality rate are linearly correlated?

Question

Perform the required correlation test. You may presume that the assumptions for regression inferences are met.
-The sample data below are the index of exposure (x)to radioactive waste for nine different Oregon counties and cancer mortality rate (y)(deaths per 100,000). $$\begin{array} { l l l l l l l l l l }  \hline \mathrm { x } & 2.49 & 2.57 & 3.41 & 1.25 & 1.62 & 3.83 & 11.64 & 6.41 & 8.34 \ \hline \mathrm { y } & 147.1 & 130.1 & 129.9 & 113.5 & 137.5 & 162.3 & 207.5 & 177.9 & 210.3 \ \hline \end{array}$$ The sample linear correlation coefficient is r = 0.926. At the 5% significance level, do the data provide sufficient evidence to conclude that index of exposure and cancer mortality rate are linearly correlated?

Quizplus · Accepted Answer

The Answer of Perform the required correlation test. You may presume that the assumptions for regression inferences are met.
-The sample data below are the index of exposure (x)to radioactive waste for nine different Oregon counties and cancer mortality rate (y)(deaths per 100,000). $$\begin{array} { l l l l l l l l l l }  \hline \mathrm { x } & 2.49 & 2.57 & 3.41 & 1.25 & 1.62 & 3.83 & 11.64 & 6.41 & 8.34 \ \hline \mathrm { y } & 147.1 & 130.1 & 129.9 & 113.5 & 137.5 & 162.3 & 207.5 & 177.9 & 210.3 \ \hline \end{array}$$ The sample linear correlation coefficient is r = 0.926. At the 5% significance level, do the data provide sufficient evidence to conclude that index of exposure and cancer mortality rate are linearly correlated?

Perform the Required Correlation Test The Sample Linear Correlation Coefficient Is R = 0