A company performs linear regressions to compare data sets for two similar
products. If the residuals for brand A are randomly scattered above and below the x-axis, and the residuals for brand B are also randomly scattered but clustered closer to the x-axis, what can be concluded?

A. A’s data are probably linear, while brand B’s data are probably not.

B. Brand B’s data are probably linear, while brand A’s data are probably not

C. Both data sets are probably linear.

D. Neither data set is likely to be linear.