Respuesta :
Answer:
this is an example of correlation and causation.
Step-by-step explanation:
The situation is based on the correlation and causation option (A) Based on the data, this is an example of correlation and causation being correct.
What is correlation?
It is defined as the relation between two variables which is a quantitative type and gives an idea about the direction of these two variables.
[tex]\rm r = \dfrac{n(\sum xy)-(\sum x)(\sum y)}{\sqrt{{[n\sum x^2- (\sum x)^2]}}\sqrt{[n\sum y^2- (\sum y)^2]}}[/tex]
We have:
An experiment was conducted, and it was determined that as the amount of sunlight increased, the height of the plants increased.
As we know correlation is the relationship between the variables x and y.
How they both relate to each other.
As the amount of sunlight increased, the height of the plants increased.
Thus, the situation is based on the correlation and causation option (A) Based on the data, this is an example of correlation and causation being correct.
Learn more about the correlation here:
brainly.com/question/11705632
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