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+0.6 is the correlation coefficient between both stock B and A as if when we assume the correlation coefficient is +0.6 when it is in between both stock A and B. Because between both stocks it is same. For these stocks, it is a positive correlation coefficient. This correlation coefficient says how these stocks are related to each other.
Correlation is a statistical measure that expresses the extent to which two variables are linearly associated (meaning they trade together at a consistent price). it is a not unusual tool for describing easy relationships without creating a statement approximately cause and impact. Correlations are beneficial due to the fact they can imply a predictive courting that can be exploited in practice. for example, an electrical application may additionally produce much less strength on a moderate day based totally on the correlation between strong demand and climate.
correlation or dependence is any statistical dating, whether or not causal or now not, among two random variables or bivariate facts. although in the broadest feel, "correlation" can also imply any type of association, in the information it usually refers back to the degree to which a pair of variables are linearly related. acquainted examples of based phenomena encompass the correlation between the peak of dad and mom and their offspring, and the correlation between the rate of a terrific and the quantity the consumers are inclined to purchase, as it is depicted in the so-called call for the curve.
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