A data point (observation) that does not fit the trend shown by the remaining data is called a(n) _____.
A) residual
B) outlier
C) point estimate
D) None of the answers is correct.

Question

Quizplus · Accepted Answer

An outlier is a data point that is significantly different from other data points in a dataset. It can occur due to measurement error, experimental error, or natural variation. Outliers can significantly affect the overall trend of the data and should be carefully examined and either included or excluded depending on the cause and impact on the analysis. Residuals are the difference between the observed value and the predicted value in a regression model, while a point estimate is a single number that represents the best estimate of a population parameter based on sample data.

A Data Point (Observation) That Does Not Fit the Trend