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Two events have a relationship of correlation rather than causation if they?
Wiki User
∙ 7y ago
occurred at the same time but did not influence each other.
Wiki User
∙ 7y ago
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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
What graphs can you use to find the strength of correlation between two continuous data sets that isn't a scatter graph?
You cannot. Or rather, you should not. You do not know if the relationship is linear or something else. A scatter graph is the best way to establish the nature of the relationship. For example, the correlation between x and y, when y = x2 between, say, -4 and +4 is zero (because of symmetry). That would lead you to conclude that there was no relationship. You could not be more incorrect!
What type of correlation is one that curved?
Correlation cannot accurately describe any type of curve. The correlation of a curve would be a linear approximation rather than an accurate description of the data. Giving a function would more accurately describe data that lies on a curve.
What is an event that occurs because of a preceding event?
A dependent event. Or rather, a dependent event is one whose probability of occurrence is affected by previous events. For instance, drawing a card from a deck is affected by previous draws, if there's no replacement.
When would you use simple linear regression?
You use it when the relationship between the two variables of interest is linear. That is, if a constant change in one variable is expected to be accompanied by a constant [possibly different from the first variable] change in the other variable. Note that I used the phrase "accompanied by" rather than "caused by" or "results in". There is no need for a causal relationship between the variables. A simple linear regression may also be used after the original data have been transformed in such a way that the relationship between the transformed variables is linear.
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
What value or benefit would a researcher gain by calculating a correlation coeffcient rather than simply describing the relationship as a positive correlation or a negative correlation?
The correlation coefficient gives a measure of the degree to which changes in the variables are related. However, the relationship need not be causal.
What are the characteristics of a positive correlation?
First, a correlation is an indicator of the linear relationship between two events or manifestations. As such, it does not indicate that A causes B or B causes A, but rather that A and B coexists together. A correlation will vary between -1 and +1. A correlation of 0 will mean that there is no relationship between A and B. The closer the correlation is to the extreme, the stronger the relationship is. It is important to note that the sign only indicates whether the relationship is positive or negative. More specific to this question, a positive correlation will mean that as A increases, so does B. For example, perfectionism has been found to be positively correlated to depression. In other words, as the person presents more severe form of perfectionism, he or she will also show more symptoms of depression. This relationship could be represented in a graph as a diagonal line starting low and gradually moving higher as it moves towards the right.
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.
What is empirical economics?
Economincs based on observation or experience rather than theory or pure logic. Empirical Economists estimate elasticities and try to navigate the difficult path of distinguishing causation from correlation. For example, given that those who are breastfed for a longer time in Africa tend to be unhealthier than those who aren't, does brestfeeding in Africa cause illness for children or are the children who are breastfed longer those who deal with constant healt problem? Is breastfeeding making them unhealthy, causation. Or are unhealthy children breastfed further into their life because it is good for them, correlation.
What graphs can you use to find the strength of correlation between two continuous data sets that isn't a scatter graph?
You cannot. Or rather, you should not. You do not know if the relationship is linear or something else. A scatter graph is the best way to establish the nature of the relationship. For example, the correlation between x and y, when y = x2 between, say, -4 and +4 is zero (because of symmetry). That would lead you to conclude that there was no relationship. You could not be more incorrect!
What are theBenefits Of Corelation?
A correlation with an absolute value near one (ie, either near -1 or near 1) indicates that two variables are in a particularly simple relationship that is uncluttered if you will with the effects of error or other variables. That simple relationship is linear rather than curvilinear or something else which would be more challenging to deal with. Moreover, correlation is a single number that is fairly easy to compute.
Are things a coincidence to deist?
In deism, events are typically seen as happening due to natural laws rather than God's direct intervention. However, some deists may believe that coincidences could be a result of divine planning or a higher power guiding events in subtle ways. Ultimately, the view on coincidences may vary among individual deists.
What type of correlation is one that curved?
Correlation cannot accurately describe any type of curve. The correlation of a curve would be a linear approximation rather than an accurate description of the data. Giving a function would more accurately describe data that lies on a curve.
Why is causation important in negligence cases?
Causation is important in negligence cases to establish a direct link between the defendant's actions or omissions and the harm suffered by the plaintiff. It helps determine whether the defendant's conduct was the actual cause of the injury or damage that occurred. Without proving causation, it is difficult to hold someone legally responsible for negligence.
What is philosophical mindset?
A philosophical mindset involves critical thinking, questioning assumptions, and seeking deeper understanding of fundamental concepts and beliefs. It involves reflecting on different perspectives, evaluating arguments, and being open to exploring complex ideas and their implications.
Relationship between NGos and the government has been rather complex in the recent year?
Relationship between NGos and the government has been rather complex in the recent year?
