Finding the correlation coefficient, it is found that the regression line shows a:
negative trend line with a strong relationship.
<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.
Inserting the values of a table, the x-values as 25, 28, 30, 31, 33, 40, and the y-values as 7.5, 6, 5.5, 5, 4.5, 4.5, the coefficient is of -0.85, which is negative and strong.
More can be learned about correlation coefficients at brainly.com/question/25815006
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Answer:
1: C. $3,474.38
2: B. $44.10
C: C. $570
Step-by-step explanation:
1.
4250 - (4250 x 0.25)
3187.50
3187.50 + (3187.50 x 0.09)
3474.375 which rounds up to
$3,474.38
2.
52 - (52 x 0.2)
41.6
41.6 + (41.6 x 0.06)
44.096 which rounds up to
44.10
3.
500 + (500 x 0.2)
600
600 - (600 x 0.05)
570
<h3>s³=l,b,h</h3><h3>so,</h3><h3>s³=125</h3>
![s = \sqrt[3]{125}](https://tex.z-dn.net/?f=s%20%3D%20%20%5Csqrt%5B3%5D%7B125%7D%20)
<h3>s=5 and height =5 cubes</h3><h3>hope it helps :-)</h3>
Answer:
Step-by-step explanation:
bottom left is 13a + 2b
bottom right is 15y - 6
