I'm unable to create visual content or directly interact with web tools like Desmos. However, I can guide you through how to create the scatterplot and analyze the data.
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Creating a Scatterplot in Desmos:
- Go to Desmos Graphing Calculator.
- Enter your data in two lists:
- For example, if your data points for "Hours Scrolling on Social Media" (X values) are [1, 2, 3, 4, 5] and for "Exam Scores" (Y values) are [95, 90, 85, 70, 60], you can input:
A = [1, 2, 3, 4, 5] B = [95, 90, 85, 70, 60]
- For example, if your data points for "Hours Scrolling on Social Media" (X values) are [1, 2, 3, 4, 5] and for "Exam Scores" (Y values) are [95, 90, 85, 70, 60], you can input:
- Then plot the points using:
(A, B)
- To perform linear regression, type in the linear regression function, which will look like:
y1 ~ mx1 + b
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Obtaining the Linear Regression Model:
- After entering your data, Desmos will provide you with the best fit line in the format \( y = mx + b \).
- Note the values for \( m \) (slope) and \( b \) (y-intercept) from the results.
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Finding the Correlation Coefficient:
- Desmos will also calculate the correlation coefficient \( r \) for you. This value will range from -1 to 1, indicating the strength and direction of the linear relationship (where 1 is a perfect positive correlation, -1 is a perfect negative correlation, and 0 indicates no linear correlation).
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Interpretation:
- If you observe a downward trend in your scatterplot (a negative slope), and your correlation coefficient is close to -1, this indicates that as the hours spent scrolling on social media increases, the exam scores tend to decrease. This suggests a negative correlation where excessive social media use may be negatively affecting exam performance.
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What to provide in the answer box:
- The link to your graph on Desmos.
- The equation of the best fit line (e.g., \( y = -5x + 100 \)).
- The correlation coefficient (e.g., \( r = -0.95 \)).
- Your explanation of correlation, as outlined above.
If you have specific data, I can help further refine these steps based on your actual data points!