Which characteristic of a data set makes a linear regression model unreasonable?

A linear regression model is most useful when the data show a clear linear association. A correlation coefficient close to 0 indicates little or no linear relationship, so a linear model would not describe the data well. Therefore, the correct choice is a correlation coefficient close to 0.

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