To determine whether scatter plots suggest a linear relationship between two variables \( x \) and \( y \), you typically look for the following characteristics in the plots:
1. Linear Relationship
- The points are approximately aligned in a straight line.
- The trend can be rising (positive) or falling (negative).
- There is little to no curvature in the pattern of the points.
2. NOT a Linear Relationship
- The points are scattered without any discernible straight-line pattern.
- There may be curvature present, indicating a non-linear relationship (like quadratic or exponential).
- The data may cluster in certain regions or exhibit randomness.
To visually evaluate actual scatter plots, one would need to see the plots. However, without the actual visuals, the best approach is to follow the points discussed above.
If provided with actual scatter plots, I would analyze them to categorize them into "Linear Relationship" or "NOT a Linear Relationship." Please provide the graphs to proceed with the evaluation!