could not find this question and answer anywhere so i took the L for everybody:
Authoritative parenting and social competence in children
(apx)
There may be a weak correlation, but there is no known mechanism to cause this and it is unlikely one will be found.
A Pearson correlation measures the strength and direction of a linear relationship between two continuous variables, ranging from -1 (perfect negative correlation) to 1 (perfect positive correlation). An example could be studying the correlation between the amount of rainfall and crop yield in agricultural research to understand how variations in rainfall affect crop productivity.
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
There has been no correlation found between any specific chromosomes and developing spina bifida.
The correlation coefficient is a statistical measure of the extent to which two variables change. A correlation coefficient of -0.80 indicated that, on average, an increase of 1 unit in variable X is accompanied by a decrease of 0.8 units in variable Y. Note that correlation does not imply causation.
The correlation between the amount of neurons and intelligence found in the frontal lobe of the brain is option C: .45. This suggests a moderate positive relationship where an increase in the amount of neurons is associated with higher intelligence levels.
Signal processing is an engineering principle that deals with the analysis of signals. Event correlation is a technical term for when data is analyzed and there is a correlation that is found.
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.
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.
Correlation is a measure of the degree of agreement in the changes (variances) in two or more variables. In the case of two variables, if one of them increases by the same amount for a unit increase in the other, then the correlation coefficient is +1. If one of them decreases by the same amount for a unit increase in the other, then the correlation coefficient is -1. Lesser agreement results in an intermediate value. Regression involves estimating or quantifying this relationship. It is very important to remember that correlation and regression measure only the linear relationship between variables. A symmetrical relationshup, for example, y = x2 between values of x with equal magnitudes (-a < x < a), has a correlation coefficient of 0, and the regression line will be a horizontal line. Also, a relationship found using correlation or regression need not be causal.
Faunal Cross-correlation is the use of animal bones found within an archaeological site to determine a relative date.