In an appropriate regression model, the normal probability plot should appear as a random scatter of points.
True or false?
Answer: False
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Solutions / Discussion:
In the points in a normal probability plot fall around a positively sloping diagonal line, it suggests that the data is possibly normally distributed.
So, the specific pattern that we are looking for is the points to fall around a positively sloping diagonal line. If they do, we can conclude that the data is possibly normally distributed.
Curvature and/or outliers suggest that the data is NOT normally distributed.
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I hope this helped. If you have any questions, please ask them in the comment section. :)
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