In the text box below, write a breif summary about how you can use function notation to help you determine paramater changes.

Which best describes the strength of the correlation, and what is true about the causation between the variables? it is a weak negative correlation, and it is not likely causal. it is a weak negative correlation, and it is likely causal. it is a strong negative correlation, and it is not likely causal. it is a strong negative correlation, and it is likely causal.

If you are just building your payment history, how many points from a perfect score will you possibly miss?

How can the correlation in the scatter plot graph below best be described? positive correlation negative correlation both positive and negative no correlation