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Q: What word means the relationship between two sets of data?
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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 are the different kind of sets according to the relationship?

There are three different kinds of sets according to the relationship. The three different kind of sets according to the relationship are binary relationship set, ternary relationship set, and relationship set with abbreviated name.


Does all data have a mean median or mode?

No, not all data sets have a mode but all data sets have a mean and median.


Why is it important to have two sets of temperature data?

If both sets are in agreement, it is a good indication each is accurate. If, on the other hand, there is great disparity between the two sets, we may conclude there is some significant error in our data gathering or sampling technique. The NASA GISS data (see link) include both a land/sea temperature index and temperature measurements from meteorological stations.


What does a relationship between two correlated variables have?

Correlation between two variables implies a linear relationship between them. The existence of correlation implies no causal relationship: the two could be causally related to a third variable. For example, my age is correlated with the number of TV sets in the UK but obviously there is no causal link between them - they are both linked to time.