Which situation describes a correlation that is not a casual relationship?
1 The rroster crows, and the sun rises.
2 The more miles driven, the more gasoline needed.
3 The more powerful the microwave, the faster the food cooks.
4 The faster the pace of a runner, he quicker
the runner finishes.
I think the word you should be using is causal, not casual. They have completely different meanings.
Does the crowing of a roster cause the sun to rise? It makes a difference in which order you state the two happenings.
This has nothing to do wth math
This is not math. This is reading. My answer is that rooster is spelled wrong.It should be r-o-o-s-t-e-r.
All can be causal. Although the rooster does not cause the sun to rise, apparently the rising sun causes the rooster to crow. A can cause B or B can cause A.
I hope this helps a little more. Thanks for asking
The situation that describes a correlation that is not a casual relationship is:
1) The rooster crows, and the sun rises.
In this scenario, there is a correlation between the rooster crowing and the sun rising because they tend to occur together, but there is no causal relationship between them. The crowing of the rooster does not cause the sun to rise, nor does the rising of the sun cause the rooster to crow. These two events are simply coincidental and unrelated to each other.
To determine which situation describes a correlation that is not a casual relationship, you can analyze the cause and effect between the two variables. If there is a direct cause and effect relationship where one variable influences or causes changes in the other, then it is a causal relationship. On the other hand, if the two variables are just coincidentally related or change together without any causal link, it is merely a correlation.