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When Two events have a relationship of correlation rather than causation?
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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.
What does or mean in probibility?
"or" is used in the context of sets [of events] rather than probability (and certainly not probibility!),An event described as A or B means either event A or event B or both events."or" is used in the context of sets [of events] rather than probability (and certainly not probibility!),An event described as A or B means either event A or event B or both events."or" is used in the context of sets [of events] rather than probability (and certainly not probibility!),An event described as A or B means either event A or event B or both events."or" is used in the context of sets [of events] rather than probability (and certainly not probibility!),An event described as A or B means either event A or event B or both events.
In what two ways does brian measure time?
He measures times by events his experiences rather than by societal measures time.
What is the statistics are used as a way to make an educated guess about the relationship between the independent variable and the dependent variable?
This is a rather confused question.The first issue is the assumption that there is an independent variable and a dependent variable. If your data comprise measurements of the height and mass (weight) of school children, which one is the independent variable? The answer is: neither. It is most likely to be age.A second issue is the very serious danger of confusing correlation with causality. Yes, statistics may show high correlation but that does not imply causality. A simplistic example from economics: correlation between companies with large profits and large investment in machinery. Profitability is required to enable the company to finance investment. Proper investment helps the company become more competitive and so generate more profits.Finally, consider the two variables X and Y. X is uniform on the interval [-p, p]; Y = X^2. The regression coefficient between X and Y is 0 but the relationship is far from non-existent. You need some educated guesses to find the correct statistics to make educated guesses!
How long does 59.8 miles take?
Not answerable. You need to quote speed as well, then you can calculate it yourself (as I suspect you are meant to do rather than asking us to do it for you!) from the relationship Distance = Speed X Time.
Two events have a relationship of correlation rather than causation if they?
occurred at the same time but did not influence each other.
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?
The burden of proof regarding causation is on the plantiff. Causation is important because - sometimes - a person may have died in a hospital (for example) for reasons other than negligence (for example, a pre-existing condition rather than actual negligence...and negligence must be proven). Typically, an expert witness will show causation (or an act of negligence) for the plantiff, but the defense counsel will rigorously oppose any plantiff expert witness. The litmus test for neglegence is usually permanent harm or death. Otherwise, the odds are lessened in a personal injury suit.
What is philosophical mindset?
A tendency to look at the thinking behind events, rather than the events themselves.
