A statement which best describes the strength of the correlation, and the causation between the variables is that: D. it is a strong positive correlation, and it is likely causal.
<h3>What is a positive correlation?</h3>A positive correlation can be defined as a terminology that is used to described a scenario (situation) in which two variables move in the same direction and are in tandem.
This ultimately implies that, a positive correlation exist when two variables have a linear relationship or are in direct proportion. Hence, when one variable increases, the other increases as well, and vice-versa.
By critically observing the scatter plot (see attachment) which models the data in the given table, we can infer and logically deduce that the value on the y-axis (circumference) increases as the value on the x-axis (radius) increases, so this is a strong positive correlation.
Also, we know that there exist a direct relationship between the circumference of a circle and its radius, so this relationship is most likely causal.
In conclusion, a statement which best describes the strength of the correlation, and the causation between the variables is that it's a strong positive correlation, and it is likely causal.
Read more on positive correlation here: brainly.com/question/10644261
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Answer:
The school C shows the greatest rate of change between male and female students
Step-by-step explanation:
Let
x -----> the number of female students
y ----> the number of male students
we know that
The ratio of male students to female students is
we have
<em>School A</em>
<em>School B</em>
----> the slope of the linear equation
<em>School C</em>
so
therefore
The school C shows the greatest rate of change between male and female students
Answer:
Step-by-step explanation:
Here we can solve this in 2 ways ,
Method 1 :
Here the bases are equal. So,
Method 2 :
Here the exponents are same. So,