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Does correlation demonstrate causation?
NO. correlation just (implies) a relationship ... for example, both may be caused by the same thing.
Two events have a relationship of correlation rather than causation if they?
occurred at the same time but did not influence each other.
What is the difference between cause and correlation?
Correlation means that two events are related. Causation means that one event caused another event to happen. Correlation isn't the same as causation.
A government passes a law increasing taxes on banks . Two days later there are several bank robberies. A politician who opposed the taxes claims that the new law is causing bank robberies?
The answer would be: It confuses correlation with causation.
What would lead a historian to consider two events to have a relationship of correlation rather than causation?
If the events happened around the same time but one did not cause the other
Does a strong positive correlation prove causation?
A strong positive correlation does not prove causation. People only get sunburned during daylight hours. Sundials only work during daylight hours. Therefore sundials cause sunburns. The above sentences show how absurd such predicate thinking could be. Simply because two events usually occur at the same time does not mean they are related. One man found a perfect correlation between the price of whiskey and Chicago school teachers' salaries. No possible relationship could possibly exist except the rate of prosperity and inflation. Causation is difficult to prove.
How correlation differs from causeation?
Correlation means that when one quantity increases, the other tends to increase as well. Causation means that the increase in one quantity CAUSES an increase in another quantity. It is a common error to assume that correlation implies causation; sometimes correlation is caused by causation, but not always. For example: let's say that the price of sugar gradually went up over the last 10 years; so did the price of cooking oil. Neither one is caused by the increase of the other; rather, they are both part of a larger tendency, namely, inflation. As another example, during the same 10-year period, the population of your country gradually increased. This is independent of the inflation; both prices and population simply tend to increase over time.
A government passes a law increasing taxes on banks. Two days later there are several bank robberies. A politician who opposed the taxes claims that the new law is causing bank robberies. Which of the?
it confuses correlation with causation -apex
What is positive corrolation?
When you have a scatter graph and you want to find the correlation of it, you draw a line from one corner to the other of the grid.Also, if the categories are to do with the same thing, then it's a positive correlation.
Are negative correlation and reverse correlation same?
No.
What is a line that shows the correlation between two data sets called?
There is no line that shows the correlation between two data sets. The correlation is a variable that ranges between -1 and +1.You may be thinking about regression which, although related, is not the same thing.There is no line that shows the correlation between two data sets. The correlation is a variable that ranges between -1 and +1.You may be thinking about regression which, although related, is not the same thing.There is no line that shows the correlation between two data sets. The correlation is a variable that ranges between -1 and +1.You may be thinking about regression which, although related, is not the same thing.There is no line that shows the correlation between two data sets. The correlation is a variable that ranges between -1 and +1.You may be thinking about regression which, although related, is not the same thing.
What does the value of a correlation coefficent reflects?
A correlation reflects the strength of the relationship between two variables. A correlation doesn't reflect causation, but merely that two phenomena are present at the same time. The closer the value is to 1, the stronger the relationship between two variables is. This value can be positive or negative. A negative value merely indicates that, as the values on one variable increase, the values on the second variable decrease. A positive correlation indicates that both values will increase or decrease together.
