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The relationship between two sets of data can be described in terms of correlation, causation, or association. Correlation indicates how closely the two sets move together, while causation implies that changes in one set directly influence the other. Analyzing the relationship can reveal patterns, trends, or dependencies that inform insights and decision-making. Statistical methods, like regression analysis, are often used to quantify and interpret these relationships.
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What is the type of correlation where there in no relationship between two data sets?
There is no correlation.
What is the statistical study of the relationship between two sets of data?
Regression.
What is the relationship between two data sets when one data set of data values increases while the other decreases?
There is an inverse relationship between the datasets.
A graph that shows the relationship between two sets of data?
bar graph
What to use If you want to show the relationship between two sets of data?
The answer depends on what sort of variables the data are (qualitative, quantitative-discrete, quantitative-continuous are; the nature of the relationship (if any) between the data sets; how much information you wish the graph to convey and how much you would prefer to describe in the accompanying text.
