Identify the association between the data on each scatter plot.
1.
A) The association is positive and strong.
B) The association is positive and weak.
C) The association is negative and strong.
D) There is no association.
2.
A) The association is positive and strong.
B) The association is negative and strong.
C) The association is nonlinear.
D) There is no association.
To provide the best assistance, I’ll need to understand the specifics of the scatter plots you’re referencing. Since you didn’t include any images or details about them, I can’t give a concrete answer.
However, here are steps you can take to assess scatter plots for their associations:
1. Positive association: If points tend to rise together, the association is positive.
2. Negative association: If one variable increases while the other decreases, the association is negative.
3. Strength of association: If points cluster closely around a line (either straight or curved), the association is strong. If they are more spread out, it’s weak.
4. No association: If the points appear random and do not form any discernible pattern.
Review your scatter plots based on these guidelines, and let me know if you have specific details or questions! If you’d like more in-depth assistance, please check our extended services page.