Exotic Plants. In the article "Effects of Human Population, Area, and Time on Non-native Plant and Fish Diversity in the United States" (Biological Conservation, Vol. 100, No. 2, pp. 243-252), M. McKinney investigated the relationship of various factors on the number of exotic plants in each state. On the Weiss -Stats site, you will find the data on population (in millions), area (in thousands of square miles), and number of exotic plants for each state. Use the technology of your choice to determine the linear correlation coefficient between each of the following:

a. population and area

b. population and number of exotic plants

c. area and number of exotic plants

d. Interpret and explain the results you got in parts (a)-(C).

The relationship of various factors on the number of exotic plants in each state. On the Weiss -Stats site, you will find the data on population (in millions), area (in thousands of square miles), and number of exotic plants for each state.

Follow the given steps mentioned below to obtain the linear correlation coefficient between population and area using Minitab.

Step 1. Store the data from the given table in columns named x and y respectively.

Step2 Choose Stats > Basic statistics > Correlation....

Step3. Specify C1 and C2 in the Variables text box.

Step4 Uncheck the Display p valuescheck box

Step5 Click OK

The screen shot is as follows:

Hence, the answer is$\boxed{r=0.109}$

Follow the given steps mentioned below to obtain the linear correlation coefficient r between population and number of plants using Minitab.

Step1 .Store the data from the given table in columns named x and y respectively

Step2 Choose Stats > Basic statistics > Correlation....

Step3. Specify C1 and C3 in the Variables text box

Step4. Uncheck the Display p values check box.

Step5. Click OK

The screen shot is as follows:

Hence, the answer is$\boxed{r=0.721}$

Follow the given steps mentioned below to obtain the linear correlation coefficient r between population and number of plants using Minitab.

Step1 .Store the data from the given table in columns named x and y respectively

Step2 ChooseStats > Basic statistics > Correlation....

Step3. Specify C1 and C3 in theVariables text box

Step4. Uncheck theDisplay p values check box.

Step5. Click OK

The screen shot is as follows:

Hence, the answer is$\boxed{r=-0.309}$

The coefficient of linearity between the two variations of the three sets does not indicate the correlation of the line between the variables x and that y For the linear relationship to remain true between the two variations x and that the data points need to be dispersed in the line.