As i know that two type of relationship Blood relationship and marriage relationship. Correlative relationship mean by your nearest relative like brother in law, sister in law, uncle, unty etc...
correlation implies the cause and effect relationship,, but casuality doesn't imply correlation.
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.
There is no correlation.
a zero correlation means that there is no relationship between the two or more variables.
If variables have zero correlation, they do not have a linear relationship. Zero correlation shows that two things were not found to be related.
Why Correlation?Because there is some relationship. One variable depends on another. Using correlation we can make inferences. Brahmajyothi
Correlation-apex (;
The correlation coefficient gives a measure of the degree to which changes in the variables are related. However, the relationship need not be causal.
Stewardship refers to the responsible management and care of resources, including relationships and communities. There is no inherent connection between stewardship and homosexuality; individuals can practice stewardship regardless of their sexual orientation. The focus should be on promoting respect, compassion, and inclusivity towards all individuals, regardless of their background.
If the answer you are expecting is correlation, then you are wrong. Correlation refers only to linear relationship between two variables. The correlation for any even relationship over a symmetric domain will be 0. Thus, if y = x2 between the values -a < x < a (for some a), the correlation between y and x will be 0 but few would contend that there is no relationship between the two.
Degree and direction of relationship between two or more variables is known as correlation.
I think you're referring to Correlation. This means the relationship between two variables. There can be a positive correlation, where as one variable increases, so does the other. There can be a negative correlation, where as one variable increases, the other decreases. Lastly, there can be no correlation, where there is no relationship between the two variables.