5t/13 = -9
5t = -9 * 13
5t = -117
t = -117/5
Answer:
Correlation does not mean <em>causation</em> even after having a relatively high correlation coefficient as a result.
Step-by-step explanation:
Correlation and causation are not the same. Correlation does not mean that variations in one variable <em>cause</em> variations in the second variable. Instead, correlation considers that variations in one variable <em>corresponds</em> with variations of the second variable. No more.
Correlation is an important first step to establish that one variable possibly can cause some effect on the other, but it is not a definitive answer to this question. It is crucial to find other possible factors that can explain what causes some effect.
As a conclusion, a positive and relative high correlation coefficient does not necessarily mean causation. It simply tells us that some study found that people that listen to loud music are also people with poor hearing problems, and possibly a cause to the latter variable is to listen loud music repeatedly, but it is a must to find other possible factors before definitely concluding that.
The first one is 64. The second one is -64. Third is 10000
Answer:
I think we have to use commas in lists because if we didn't it would be all together and it would be more hard to read.
Step-by-step explanation:
I hope this helps
