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Which one of the following method serve to measure correlation bw two variable?
cofficient of rank correlation
Why do you multiply the sum of the squared rank differences by 6 in the Spearman's Rank Correlation formula?
Try this link: http://mathforum.org/library/drmath/view/52774.html - its quite a complicated explanation!
Why should you rank your data?
Ranking of data allows calculation of ranges and percentiles. Quick estimation of correlation coefficient is possible (Spearman's method). Certain graphical displays of data, such as box and whiskers plots use percentiles.
Is there a positive correlation a negative correlation or no correlation in the scatter plot Scatter Plot in Link httpi1158photobucketcomalbumsp615Connie1009untitledpng?
Can you split the name of this up somehow when you resubmit your question, so that an answerer can attempt to use the search facility on photobucket.com?
What is the purpose of using correlation analysis How might correlation analysis be used in business decisions or in strategy formulation and implementation?
The correlation analysis is use in research to measure and interpret the strength of a logistic relationship between variables.
What is srcc in statistics?
Spearman's rank correlation coefficient
Which one of the following method serve to measure correlation bw two variable?
cofficient of rank correlation
Spearman's rank correlation coefficient for grouped data?
Although Spearman's rank correlation coefficient puts a numerical value between the linear association between two variables, it can only be used for data that has not been grouped.
If ranks are not given then how do you calculate Spearman's rank correlations?
Data ranks come from sorting the data. Manually ordering large sets of data can be time consuming, but very easy with spreadsheet programs. There are alternative means of calculating correlation, but if you are to use Spearman's rank correlation, you have to order each data set and determine ranks.
What is an example how to calculate Spearman's rank correlation?
See: http://en.wikipedia.org/wiki/Spearman's_rank_correlation_coefficient
How do you find out rank during calculation of coefficient of rank correlation?
Right.. Clearly u are supposed to be in a lesson so why are u asking me ? Not the Teacher ? -.-
What are the possible ranges of correlation coefficients?
The possible range of correlation coefficients depends on the type of correlation being measured. Here are the types for the most common correlation coefficients: Pearson Correlation Coefficient (r) Spearman's Rank Correlation Coefficient (ρ) Kendall's Rank Correlation Coefficient (τ) All of these correlation coefficients ranges from -1 to +1. In all the three cases, -1 represents negative correlation, 0 represents no correlation, and +1 represents positive correlation. It's important to note that correlation coefficients only measure the strength and direction of a linear relationship between variables. They do not capture non-linear relationships or establish causation. For better understanding of correlation analysis, you can get professional help from online platforms like SPSS-Tutor, Silverlake Consult, etc.
Formula in spearman rho?
Spearman's rank correlation coefficient is given in the related link at the bottom of this page.
Can a correlation be measured?
Yes, correlations can be measured using statistical methods such as Pearson's correlation coefficient or Spearman's rank correlation coefficient. These measures quantify the strength and direction of the relationship between two variables.
How do you use correlation in a sentence?
The results of the two tests correlate to a high degree.
What is correlation coefficient of correlation?
correlation measure the strength of association between to variables.but some times both variables are not in same units.so we cannot measure it with the help of correlation. in this case we use its coefficent which mean unit free. that,s why we use it.
Why do you multiply the sum of the squared rank differences by 6 in the Spearman's Rank Correlation formula?
Try this link: http://mathforum.org/library/drmath/view/52774.html - its quite a complicated explanation!
