The statement that describes a linear association is - A line can be drawn through the data points which approximates the data
What is correlation?
- "It describes the degree to which two variables move in coordination with one another. "
- "If the two variables move in the same direction, then those variables have a positive correlation."
- "If they move in opposite directions, then they have a negative correlation."
What is scatterplot?
"It is a graph of the paired (x, y) sample data with a x-axis and y-axis."
What is linear association?
- "It is used to describe a straight-line relationship between two variables."
- "It can be expressed as mathematical equation of the form y = mx + b."
- "In this type of association, when one variable changes it also causes the changes in the second variable."
- "The strongest linear association occurs when the slope is 1 that is m = 1"
We know that, correlation is defined as the statistical association between two variables.
A correlation exists between two variables when one of them is related to the other in some way.
A relationship or association between two variables is linear when the points on a scatterplot follow a somewhat straight line pattern.
A line that goes roughly through the middle of all the scatter points on a graph is the line of best fit.
The closer the points are to the line of best fit the stronger the linear association is.
This means, a line can be drawn through the data points which approximates the data.
Therefore, the statement that describes a linear association is - A line can be drawn through the data points which approximates the data
Learn more about the linear association here:
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