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
Answer:
you set them to equal each other so you are able to get all the variables in the same way since sometimes being on one side of the equal can make it positive but on the other side it would be negative
Answer:
Step-by-step explanation:
Let the number of small boxes = x
and the number of large boxes = y
Total number of boxes = 24
Therefore, equation will be,
x + y = 24 ------ (1)
Since, volume of the smaller boxes = 9 cubic feet
And the volume of larger boxes = 24 cubic feet
Therefore, total volume of the boxes = (9x + 24y)
Since combined volume of all boxes = 441 cubic feet
Therefore, equation will be,
9x + 24y = 441 ------ (2)
