it all depends on what type of shark species you are referring to. Great White Sharks are thought to be man eaters because of the feature film Jaws, which is incorrect. Bull sharks, and Tiger sharks on the other hand will eat anything that comes in their path. Literally. they have found nails, fur coats, handbags, and so on the stomachs of tiger sharks. But usually in the case of Great White's attacks on humans is a mistake of identity. if you can imagine looking up to the surface of the water and seeing a surfer with their arms and legs hanging off the board, this looks terribly like a California Sea Lion to a shark. But there have been instances where Great White's have come extremely close to shore and attacked a human because the animal was sick, and food deprived. so to answer the question, we don't know yet, unless we can get inside the head of a shark, it is extremely hard to know for certain. But as it looks in my personal opinion, yes it seems likely.
There is no correlation between race and intelligence.
There is no significance or correlation between gay people and teachers.
Very few people will assume, given NO correlation, that there is also a casual relationship.I will assume that you meant the fallacy in assuming that if "there is no correlation between two events there is also nocausal relationship".Correlation is a measure of linear relationship. If there is a non-linear relationship it is possible for the correlation to be low. Or, in the extreme case of a relationship that is symmetric about a specific value of the explanatory variable, for the correlation to be zero.Very few people will assume, given NO correlation, that there is also a casual relationship.I will assume that you meant the fallacy in assuming that if "there is no correlation between two events there is also nocausal relationship".Correlation is a measure of linear relationship. If there is a non-linear relationship it is possible for the correlation to be low. Or, in the extreme case of a relationship that is symmetric about a specific value of the explanatory variable, for the correlation to be zero.Very few people will assume, given NO correlation, that there is also a casual relationship.I will assume that you meant the fallacy in assuming that if "there is no correlation between two events there is also nocausal relationship".Correlation is a measure of linear relationship. If there is a non-linear relationship it is possible for the correlation to be low. Or, in the extreme case of a relationship that is symmetric about a specific value of the explanatory variable, for the correlation to be zero.Very few people will assume, given NO correlation, that there is also a casual relationship.I will assume that you meant the fallacy in assuming that if "there is no correlation between two events there is also nocausal relationship".Correlation is a measure of linear relationship. If there is a non-linear relationship it is possible for the correlation to be low. Or, in the extreme case of a relationship that is symmetric about a specific value of the explanatory variable, for the correlation to be zero.
Some people will give the answer "correlation". But that is not correct for the following reason: Consider the coordinates of a circle. There is obviously a very strong relationship between the x coordinate and the y coordinate. The correlation between the two is not just small, but 0. The correlation between two variables is a measure of the linear relationship between them. But there can be non-linear relationships which will not necessarily be reflected by any correlation.
Let's say we look at the consumption of junk food and heart attacks. What we would see is a correlation. The more junk food you eat the less risk of a heart attack. There is a correlation but is there a cause and effect relationship? Probably not. Young people eat a lot more junk food than older people. And older people are much more likely to suffer from a heart attack. Mathematically this is due to correlation between your x variables. In statistical analysis you usually assume independent variables. In reality thins are much more complicated. If you want to establish true relationships you need to use design of experiments (DoE).
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There is no known scientific correlation between artistic ability and sexual orientation.
There is no correlation between race and skydiving fatalities. What a question to ask!
There is no correlation between names and sexual orientation.
No, there isn't any correlation between homosexuality and mentally challenged people.
If these were weights of people then it suggests that the heavier the people the shorter the distance they were willing (or able!) to walk.
I don't know if there is a direct correlation but if people are using a webinar instead of traveling to a lecture hall, it could theoretically reduce car pollution levels. Some studies would need to be conducted to determine the exact correlation of this.