1. An outlier is measured along the Y (vertical) axis, relative to the line of best fit. If a point is far from the line of best fit, it is an outlier. An influential point is measured along the X (horizontal) axis, relative to the main cluster of points. If most points are clustered between x1 and x2, but a given point is very far to the left or right of that cluster, then it will influence the slope of the line of best fit. Hence, it is an influential point.

2. The relationship is positive, linear, and weak.

3. There is no clear relationship.

4. The relationship is negative, linear, and weak.

5. The relationship is negative and nonlinear. The linear correlation might be weak, because if you tried to fit a straight line many points would be far off the line. However, the nonlinear relationship is strong, because the points are close to the curve.

6. The relationship is positive, linear, and strong.

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