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When both axis' are increasing it is a positive correlation.

When both are decreasing it is a negative correlation.

When the dots are all over the place then there is no correlation.

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What is a way of organizing data that is used to show changed that occur in related variables?

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Why graph fails to pass through the origin?

A graph fails to pass through the origin when the relationship it represents does not have a value of zero when both variables are zero. This can occur in various contexts, such as when there is a constant term in an equation that shifts the graph away from the origin. For example, in a linear equation like ( y = mx + b ) where ( b ) is not zero, the graph will intercept the y-axis at ( b ) instead of the origin. Additionally, in real-world scenarios, certain phenomena may inherently have a baseline value greater than zero, preventing the graph from intersecting at the origin.

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A way of organizing data that is used to show changes that occur in related variables?

A line graph.


What is a way of organizing data that is used to show changed that occur in related variables?

A line graph.


When would you choose a line graph to present data?

When i am showing changes that occur in related variables


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