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That's correct. The correlation between two suitable variables in a data set might be any value between -1 and 1, including 0.

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Q: Do the data sets have a positive a negative or no correlation?
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Is there a positive correlation a negative correlation or no correlation between daily newspaper circution and the number of television sets in homes?

I would assume a negative correlation. More TV sets per home = less newspaper circulation.


When there is no relationship between two data sets when one set of data values increases while the other decreases?

negative correlation


What is the difference between correlation and covariance?

Correlation is scaled to be between -1 and +1 depending on whether there is positive or negative correlation, and is dimensionless. The covariance however, ranges from zero, in the case of two independent variables, to Var(X), in the case where the two sets of data are equal. The units of COV(X,Y) are the units of X times the units of Y. correlation is the expected value of two random variables (E[XY]),whereas covariance is expected value of variations of two random variable from their expected values,


How change of origin or scale effect value of co-efficient of co-relation?

The correlation coefficient is unaffected by change of origin or scale unless one of the sets of variables is multiplied by a negative term, in which case the correlation coefficient will become negative.


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.

Related questions

What shows a correlation which may be positive or negative between two sets of data?

I believe you are asking how to identify a positive or negative correlation between two variables, for which you have data. I'll call these variables x and y. Of course, you can always calculate the correlation coefficient, but you can see the correlation from a graph. An x-y graph that shows a positive trend (slope positive) indicates a positive correlation. An x-y graph that shows a negative trend (slope negative) indicates a negative correlation.


What is a correlation where both sets of data values increase or decrease together?

Positive correlation.Positive correlation.Positive correlation.Positive correlation.


Is there a positive correlation a negative correlation or no correlation between daily newspaper circution and the number of television sets in homes?

I would assume a negative correlation. More TV sets per home = less newspaper circulation.


What is a postitive correlation between data sets?

A positive correlation is where the data has an increasing pattern. As X increases, Y also increases.


How do you calculate Spearman's rank correlation?

# State the null hypothesis i.e. "There is no relationship between the two sets of data." # Rank both sets of data from the highest to the lowest. Make sure to check for tied ranks. # Subtract the two sets of ranks to get the difference d. # Square the values of d. # Add the squared values of d to get Sigma d2. # Use the formula Rs = 1-(6Sigma d2/n3-n) where n is the number of ranks you have. # If the Rs value... ... is -1, there is a perfect negative correlation. ...falls between -1 and -0.5, there is a strong negative correlation. ...falls between -0.5 and 0, there is a weak negative correlation. ... is 0, there is no correlation ...falls between 0 and 0.5, there is a weak positive correlation. ...falls between 0.5 and 1, there is a strong positive correlation ...is 1, there is a perfect positive correlation between the 2 sets of data. # If the Rs value is 0, state that null hypothesis is accepted. Otherwise, say it is rejected. (sourced from http://www.revision-notes.co.uk/revision/181.html)


When there is no relationship between two data sets when one set of data values increases while the other decreases?

negative correlation


What can you say about the relationship between a correlation r and the slope b of the least squares line form of data?

You can say that the correlation is positive if and only if the slope is positive. The correlation is zero if and only if the slope is zero. And the correlation is negative if and only if the slope is negative. On the other hand, slope does change when your measurement units change, while correlation does not change. (For example, the correlation between height in inches and weight in pounds will be the same as the correlation between height in centimeters and weight in kilograms, as long as both sets of measurements were taken on the same observations.)


What is the type of correlation where there in no relationship between two data sets?

There is no correlation.


What is a line that shows the correlation between two data sets called?

There is no line that shows the correlation between two data sets. The correlation is a variable that ranges between -1 and +1.You may be thinking about regression which, although related, is not the same thing.There is no line that shows the correlation between two data sets. The correlation is a variable that ranges between -1 and +1.You may be thinking about regression which, although related, is not the same thing.There is no line that shows the correlation between two data sets. The correlation is a variable that ranges between -1 and +1.You may be thinking about regression which, although related, is not the same thing.There is no line that shows the correlation between two data sets. The correlation is a variable that ranges between -1 and +1.You may be thinking about regression which, although related, is not the same thing.


What word means the relationship between two sets of data?

Correlation.


What does coefficent tell you?

the degree of correlation between two sets of data


What does a coefficent tell you?

the degree of correlation between two sets of data