Answer:
B. The fact that two variables are strongly correlated does not in itself imply a cause-and-effect relationship between the variables.
Step-by-step explanation:
The term "correlation does not imply causation", simply means that because we can deduce a link between two factors or sets of data, it does not necessarily prove that there is a cause-and-effect relationship between the two variables. In some cases, there could indeed be a cause-and-effect relationship but it cannot be said for certain that this would always be the case.
While correlation shows the linear relationship between two things, causation implies that an event occurs because of another event. So the phrase is actually saying that because two factors are related, it does not mean that it is as a result of a causal factor. It could simply be a coincidence. This occurs because of our effort to seek an explanation for the occurrence of certain events.
Its OP I am working on this right now and got a hundred on a topic test i would know
10. 6
11. 13
12. 504
13. 2
14. 162
15. 2 gal
16. 8 at
15. 220 mm
16. 8 km
15. 9 m
16. 200 cm
F is 5 because -1 and 1 are not web that makes 8 odd so f is 5
