Question
Describe the association between the two sets of data in the scatter plot.
Hint:
If the scatter plots are close to the trend line, it’s a strong association. If they are far from the trend line, it’s a weak association.
We are asked to find the association between the data in the scatter plot.
The correct answer is: We are asked to find the association between the data in the scatter plot.
Step 1 of 1:
The trend line corresponding to the scatter plot is:
Here, the points are quite far away from the trend line. They are not clustered around the line.
This indicates weak association of the scatter plot.
Here, the points are quite far away from the trend line. They are not clustered around the line.
This indicates weak association of the scatter plot.
If the plots are clustered together around the trend line, it forms a strong association. Whereas, if the points are away from the trend line, it forms a weak association.
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If the plots are clustered together around the trend line, it forms a strong association. Whereas, if the points are away from the trend line, it forms a weak association.
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Does the scatter plot show a linear or non linear association ?
Using scatter plots to distinguish between linear and nonlinear relationships
Step 1: Examine the scatter plot. What happens when you move to the right in general? Do the points increase in general? Get Lower? Is there no overarching pattern?
Step 2: Interpret your observations. Looking from left to right,
• If the points tend to rise in general, following a reasonably straight line, then the relationship is linear.
• The points tend to get lower generally, following a relatively straight path, which is a linear relationship.
• If the points tend to rise in general, but the path is very curved, the relationship is nonlinear.
• The points tend to get lower in general, but if the path is very curved, it is a nonlinear relationship.
• If the points do not consistently move up or down, the relationship is nonlinear.
Does the scatter plot show a linear or non linear association ?
Using scatter plots to distinguish between linear and nonlinear relationships
Step 1: Examine the scatter plot. What happens when you move to the right in general? Do the points increase in general? Get Lower? Is there no overarching pattern?
Step 2: Interpret your observations. Looking from left to right,
• If the points tend to rise in general, following a reasonably straight line, then the relationship is linear.
• The points tend to get lower generally, following a relatively straight path, which is a linear relationship.
• If the points tend to rise in general, but the path is very curved, the relationship is nonlinear.
• The points tend to get lower in general, but if the path is very curved, it is a nonlinear relationship.
• If the points do not consistently move up or down, the relationship is nonlinear.