Under the Scatterplot write a comment " There appears to be a strong / moderate/ weak (choose one) positive or negative (choose one) correlation between ......

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Under the Scatterplot write a comment " There appears to be a strong / moderate/ weak (choose one) positive or negative (choose one) correlation between ......

**Scatterplot of College Students' GPA vs Predicted GPA**

This scatterplot presents the relationship between college students' actual GPA and their predicted GPA. The plot provides insights into how closely the predicted GPAs align with the actual GPAs observed.

**Axes:**
- The x-axis represents the Predicted GPA, ranging from 2.4 to 3.1.
- The y-axis represents the College GPA, ranging from 2.0 to 3.6.

**Data Points:**
- Each point on the graph represents an individual student's GPAs. 
- A pattern is visible where the predicted GPA does not always match the college GPA, indicating variation and perhaps the presence of influencing factors beyond the model's prediction.

**Analysis:**
- The scatterplot suggests variability in predictive accuracy, with some predictions closely aligning with actual GPAs, while others show significant divergence.
- Observations closer to the line y=x would indicate a better prediction.

The scatterplot serves as a visual tool to analyze the accuracy of GPA predictions, potentially guiding adjustments in predictive models.
Transcribed Image Text:**Scatterplot of College Students' GPA vs Predicted GPA** This scatterplot presents the relationship between college students' actual GPA and their predicted GPA. The plot provides insights into how closely the predicted GPAs align with the actual GPAs observed. **Axes:** - The x-axis represents the Predicted GPA, ranging from 2.4 to 3.1. - The y-axis represents the College GPA, ranging from 2.0 to 3.6. **Data Points:** - Each point on the graph represents an individual student's GPAs. - A pattern is visible where the predicted GPA does not always match the college GPA, indicating variation and perhaps the presence of influencing factors beyond the model's prediction. **Analysis:** - The scatterplot suggests variability in predictive accuracy, with some predictions closely aligning with actual GPAs, while others show significant divergence. - Observations closer to the line y=x would indicate a better prediction. The scatterplot serves as a visual tool to analyze the accuracy of GPA predictions, potentially guiding adjustments in predictive models.
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Determine of whether strong correlation exisits as well as whether it is positive or negative

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