Listed below are numbers of Internet users per 100 people and numbers of scientific award winners per 10 million people for different countries. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of a =0.05. Internet Users 79.9 79.4 55.8 67.9 77.3 39.0 Award Winners 5.4 9.1 3.4 1.8 10.6 0.1 Construct a scatterplot. Choose the correct graph below. A. В. D. 12- 12- 12- 121 0- 30 0- 30 0+ 30 90 90 30 90 90 Internet Users Internet Users Internet Users Internet Users The linear correlation coefficient is r= (Round to three decimal places as needed.)

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**Analyzing Linear Correlation between Internet Users and Scientific Award Winners**

Listed below are numbers of Internet users per 100 people and numbers of scientific award winners per 10 million people for different countries. Construct a scatterplot, find the value of the linear correlation coefficient \( r \), and find the P-value of \( r \). Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of \( \alpha = 0.05 \).

| Internet Users | 79.9 | 79.4 | 55.8 | 67.9 | 77.3 | 39.0 |
|----------------|------|------|------|------|------|------|
| Award Winners  | 5.4  | 9.1  | 3.4  | 1.8  | 10.6 | 0.1  |

**Step 1: Construct a Scatterplot**

Choose the correct scatterplot from the options given below.

- **Option A:**
  This scatterplot presents a spread of points in what appears to be a weak positive linear pattern.
  
- **Option B:**
  This scatterplot presents a spread of points that appears scattered without a discernible pattern.
  
- **Option C (Correct Answer):**
  This scatterplot shows a weak negative linear correlation, where, as the number of Internet users increases, the number of award winners seems to decrease slightly.
  
- **Option D:**
  This scatterplot presents a spread that does not clearly indicate linear correlation.

**Step 2: Calculate the Linear Correlation Coefficient, \( r \)**

The linear correlation coefficient \( r \) quantifies the strength and direction of a linear relationship between two variables. Calculate \( r \) and round to three decimal places as needed.

**The linear correlation coefficient is \( r = \_\_\_\).**
Transcribed Image Text:**Analyzing Linear Correlation between Internet Users and Scientific Award Winners** Listed below are numbers of Internet users per 100 people and numbers of scientific award winners per 10 million people for different countries. Construct a scatterplot, find the value of the linear correlation coefficient \( r \), and find the P-value of \( r \). Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of \( \alpha = 0.05 \). | Internet Users | 79.9 | 79.4 | 55.8 | 67.9 | 77.3 | 39.0 | |----------------|------|------|------|------|------|------| | Award Winners | 5.4 | 9.1 | 3.4 | 1.8 | 10.6 | 0.1 | **Step 1: Construct a Scatterplot** Choose the correct scatterplot from the options given below. - **Option A:** This scatterplot presents a spread of points in what appears to be a weak positive linear pattern. - **Option B:** This scatterplot presents a spread of points that appears scattered without a discernible pattern. - **Option C (Correct Answer):** This scatterplot shows a weak negative linear correlation, where, as the number of Internet users increases, the number of award winners seems to decrease slightly. - **Option D:** This scatterplot presents a spread that does not clearly indicate linear correlation. **Step 2: Calculate the Linear Correlation Coefficient, \( r \)** The linear correlation coefficient \( r \) quantifies the strength and direction of a linear relationship between two variables. Calculate \( r \) and round to three decimal places as needed. **The linear correlation coefficient is \( r = \_\_\_\).**
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