6. In a study on caffeine and stress, college students indicated how many cups of coffee they drink per day and their current stress level on a scale of 1 to 10. The table shows the survey results. Using a web-calculator, obtain the appropriate correlation coefficients.
Number of cups of coffee Stress level
3 5
2 3
4 3
6 9
5 4
1 2
7 10
3 5
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1. In a study on caffeine and stress, college students indicated how many cups of coffee they drink per day and their current stress level on a scale of 1 to 10. The table shows the survey results. Using a web-calculator, obtain the appropriate correlation coefficients.
To obtain the appropriate correlation coefficients for the given data, you will need to use a web calculator that can calculate the correlation coefficient. Here's how you can do it:
1. Open a web browser and go to a search engine (e.g., Google, Bing).
2. In the search bar, type "correlation coefficient calculator" or "online correlation calculator" and hit Enter.
3. You will see a list of websites that offer correlation coefficient calculators. Choose a reliable and reputable one from the search results.
4. Click on the link to the chosen website to access the correlation coefficient calculator.
5. On the calculator's webpage, look for the input fields where you can enter your data. Based on the given data, you will have two columns, one for the number of cups of coffee and the other for stress level.
6. Enter the number of cups of coffee in one column and the corresponding stress level in the other. Repeat this step for all the data points given.
7. Once you have entered all the data, locate the "Calculate" or "Compute" button on the website. Click on it to obtain the correlation coefficient(s) for the provided data.
8. The calculator will process the data and display the result(s) on the webpage. The correlation coefficient will typically range from -1 to +1. A positive value indicates a positive correlation, whereas a negative value indicates a negative correlation. The closer the value is to 1 or -1, the stronger the correlation. If the value is close to 0, it suggests a weak or no correlation.
9. Read and record the obtained correlation coefficient(s) based on the data. You may find more than one correlation coefficient depending on the calculator used (e.g., Pearson's correlation coefficient, Spearman's correlation coefficient).
Note: Ensure that you are entering the data accurately into the calculator to obtain the correct correlation coefficient(s).