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If what you're after is a simple solution in a statistical software, the quick answer is no. If your data dictates the use of nonparametric statistics (so you cannot use Pearson's), it may be an idea to try logistic regression instead.
If, however, you're up for a challenge, there has been a recent (2010) paper exploring the possibility of using Kendall's tau, Spearman's rho and Spearman's footrule in multivariate analysis:
Journal of Multivariate Analysis
Volume 101, Issue 10, November 2010, Pages 2398-2410
Concordance measures for multivariate non-continuous random vectors by Mesfioui M and Quessy J-F.
doi:10.1016/j.jmva.2010.06.011
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What is the strongest linear correlation?
The relationship between two random independently distributed variables is considered to be theoretically the weakest when the correlation coefficient is zero and theoretically the strongest when the correlation coefficient is one, indicating a positive relationship between two variables and negative one, indicating a negative relationationship between two variables. I state that this is a theoretical result as if variables are not random, independently distributed, then a high correlation coefficient can result. For example, let us say that we obtained the following data on age and frequency of accidents: Age 18 1 in 18 people have accidents in a year Age 25 1 in 25 people have accident in a year Age 30 1 in 30 people have accidents in a year Age 35 1 in 6 people have accidents. Age 40 1 in 400 people have accidents If I selectively calculated a correlation coefficient this data including only the three groups ages 18, 25 and 30, you can see I will have a correlation coefficient of 1, however the data was not a random sample of all ages. See related link.
What are three types of correlations?
positive correlation-negative correlation and no correlation
What is a no correlation graph?
There are three types of correlation: positive, negative, and none (no correlation).Positive Correlation: as one variable increases so does the other. Height and shoe size are an example; as one's height increases so does the shoe size.Negative Correlation: as one variable increases, the other decreases. Time spent studying and time spent on video games are negatively correlated; as the your time studying increases, time spent on video games decreases.No Correlation: there is no apparent relationship between the variables. Video game scores and shoe size appear to have no correlation; as one increases, the other has no effect. A No Correlation graph would show this.
What are three independent variables of alcohol fermentation?
glucose temperature
Can you provide an example of a weak positive correlation?
You can find examples by typing it in to Google. Weak positive correlation is a set of points on a graph that are loosely set around the line of best fit. The line will be positive rising up from left to right. A weak correlation can vary a lot as long as you can decipher which direction the data tends towards you have a correlation. If the points are close to the line of best fit you have a strong correlation and with a set of points perfectly lined up is perfect correlation. All three types can positive negative or perfect.
