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Some people will give the answer "correlation". But that is not correct for the following reason:
Consider the coordinates of a circle. There is obviously a very strong relationship between the x coordinate and the y coordinate. The correlation between the two is not just small, but 0.
The correlation between two variables is a measure of the linear relationship between them. But there can be non-linear relationships which will not necessarily be reflected by any correlation.
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Explain why bar graphs are useful for comparing data?
so you know the relationship between the 2 variables
A relationship between two variables or sets of data is called?
Correlation * * * * * That is simply not true. Consider the coordinates of a circle. There is obviously a very strong relationship between the x coordinate and the y coordinate. But the correlation is not just small, but 0. The correlation between two variables is a measure of the linear relationship between them. But there can be non-linear relationships which will not necessarily be reflected by any correlation.
Which of the following would let you show a relationship between two variables where each piece of data is connected to all the others?
Line graph
Why is it a good idea to make a graph of the data in the data table?
Viewing the data is an easy way to see some of their characteristics such as trends, seasonality, outliers, relationship between variables (linear, quadratic, power etc).
What do you call a measure of the strength and direction of the relationship between two variables or data sets?
A measure of association. You might be thinking of the correlation coefficient in particular.
