Using data from a random sample of ten American adults, a scatterplot is created which shows that there is no linear relation between a person’s height and yearly income/salary.
However, when a data point is added that represents a famous NBA basketball player (very tall, makes a lot of money), the correlation coefficient now shows that there is a strong linear relation.
Explain/show how this single data point can cause such a change. Draw a picture of what the scatterplot probably looked like, before and after the extra data point was added. Label your axes clearly. Clearly indicate the point that is the outlier. brief explanation of the graphs.
ScholarMatic: Explanation & Answer
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