Answer:
Data Point B and Data point E
Step-by-step explanation:
Data point B and data point E are the farthest and are more distant away from the best line of fit compared to other data points. The more clustered data points are, the more the correlation that exists between the variables in question.
Therefore, data point B and data point E, will cause the correlation coefficient to decrease the most.
k there is your answer. be happy. UwU
Answer:
r² = 0.5652 < 0.7 therefore, the correlation between the variables does not imply causation
Step-by-step explanation:
The data points are;
X, Y
0.7, 1.11
21.9, 3.69
18, 4
16.7, 3.21
18, 3.7
13.8, 1.42
18, 4
13.8, 1.42
15.5, 3.92
16.7, 3.21
The correlation between the values is given by the relation
Y = b·X + a


Where;
N = 10
∑XY = 499.354
∑X = 153.1
∑Y = 29.68
∑Y² = 100.546
∑X² = 2631.01
(∑ X)² = 23439.6
(∑ Y)² = 880.902
From which we have;


![r = \dfrac{N\sum XY - \left (\sum X \right )\left (\sum Y \right )}{\sqrt{\left [N\sum X^{2} - \left (\sum X \right )^{2} \right ]\times \left [N\sum Y^{2} - \left (\sum Y \right )^{2} \right ]}}](https://tex.z-dn.net/?f=r%20%3D%20%5Cdfrac%7BN%5Csum%20XY%20-%20%5Cleft%20%28%5Csum%20X%20%20%5Cright%20%29%5Cleft%20%28%5Csum%20Y%20%20%5Cright%20%29%7D%7B%5Csqrt%7B%5Cleft%20%5BN%5Csum%20X%5E%7B2%7D%20-%20%5Cleft%20%28%5Csum%20X%20%20%5Cright%20%29%5E%7B2%7D%20%5Cright%20%5D%5Ctimes%20%5Cleft%20%5BN%5Csum%20Y%5E%7B2%7D%20-%20%5Cleft%20%28%5Csum%20Y%20%20%5Cright%20%29%5E%7B2%7D%20%5Cright%20%5D%7D%7D)

r² = 0.5652 which is less than 0.7 therefore, there is a weak relationship between the variables, and it does not imply causation.
4,400 + 17,600 = 22,000.
4,400 / 22,000 = 0.2
0.2 = 20%
The answer is A.
Hope this helped☺☺
Well 16 divided by 4 equals: 4. Multiply that by the numerator of 3 and you have your answer:
16÷4=4·3=12
~Hope this helped :)