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Questions Overview:

1. Correlation Coefficient Equal to ±1: Look for a perfectly linear scatterplot.
2. Strongest Linear Relationship: Determine which scatterplot has the highest degree of clustering along a straight line.
3. Apparent Positive but Imperfect Linear Relationship: Look for a scatterplot where the points show a positive trend but aren't perfectly aligned.

Let me know if you'd like me to clarify further, walk through the scatterplots, or explain these concepts in more detail!

1. What is a correlation coefficient and how do you interpret it?
2. What does it mean for a dataset to have an $r = 1$?
3. How can outliers affect correlation strength?
4. What distinguishes positive correlation from negative correlation?
5. Can non-linear relationships have strong correlations?

Tip: Always review scatterplots for both direction (positive or negative) and strength (tightness of data to the line).