A。相关系数(correlation coefficient)在统计学中衡量两个变量之间关系的强度和方向。选项 B 中“the difference between two sets of data”指的是两组数据的差异;选项 C 中“the proportion of one variable in the total”指的是一个变量在总量中的比例;选项 D 中“the average of a set of data”指的是...
A correlation coefficient of zero indicates the absence of a relationship between the two variables being studied. It's impossible to predict if or how one variable will change in response to changes in the other variable if they both have a correlation coefficient of zero. Does a Correlation ...
a correlation coefficient should be lower than -0.9 or higher than 0.9 for the correlation to be considered meaningful, while in social sciences the threshold could be as high as -0.5 and as low as 0.5.
However, a high positive correlation does not guarantee there is a cause and effect relationship. (A negative amount indicates an inverse association…the dependent variable is decreasing when the independent variable is increasing and vice versa.) A coefficient of correlation of +0.8 or -0.8 ...
Given the following data what is the correlation coefficient between the two stocks and the Beta of stock A standard deviation of returns of Stock A is 10.04 percent standard deviation of returns of Stock B is 2.05 percent standard deviation of the market is 3.01 percent covariance between the ...
If a sample correlation coefficient is 0.8, what can be said about the relationship between the two variables? A. There is a strong negative correlation. B. There is a weak positive correlation. C. There is a strong positive correlation. D. There is no correlation. ...
A. An outlier will always decrease a correlation coefficient. B. An outlier will always increase a correlation coefficient. C. An outlier might either decrease or increase a correlation coefficient, depending on where it is in relation to the other points. D. An outlier will have no effect on...
Although partial correlation is a correlation of residuals, the correlation of the true-score components of these residuals is not equivalent to the partial correlation of the true scores themselves. The source of this discrepancy is explained and its implications are briefly discussed....
What is the difference between correlation and the correlation coefficient? Correlation describes the relationship between two different variables. That relationship could be causal or not. A causal relationship would be one where X happens because of Y. You most commonly use correlation to show the ...
A correlation coefficient is the statistical measure that will tell us whether there is a relationship between our two variables of interest, and if there is one, how strong that relationship is. The value of the correlation coefficient, ρ (rho), ranges from -1 to +1. The closer to -1...