1. 6 1/2
2.4 1/2
3. 9 1/3
4. 9 1/2
5. 9 6/8
6. 6 1/2
(For the adding ones ) I also simplified them.
Using correlation coefficients, it is found that the -0.63 correlation between number of absences and final exam score means that there is a strong negative correlation between number of absences and final exam score.
<h3>What is a correlation coefficient?</h3>
It is an index that measures correlation between two variables, assuming values between -1 and 1.
If it is positive, the relation is positive, that is, they are direct proportional. If it is negative, they are inverse proportional.
If the absolute value of the correlation coefficient is greater than 0.6, the relationship is strong.
In this problem, the correlation is of -0.63, hence:
It means that that there is a strong negative correlation between number of absences and final exam score.
To learn more about correlation coefficients, you can take a look at brainly.com/question/25815006
1st quadrant is the answer
Answer:
b) Is associated with motor impairment but does not cause it
Step-by-step explanation:
The study didn't explain the timeline of their findings, so we can conclude this research takes data at one time. Research that doesn't take before and after exposure data cannot be used to derive causation since we can't prove that the condition happens after the exposure. But this study still can predict association by risk ratio or odds ratio depends on the study design.
