In this case, band is a vague term used to refer to the general shape of the scatterplot. If (A) is true, then there is little or no evidence to refute the usual regression assumptions (i.e. $\epsilon_i$ are independent and identically distributed according to a normal distribution with mean 0 and variance $\sigma^2_\epsilon$.
If (B) is true, then this suggests that the variance of the error terms is dependent on $x$. You might speculate that $\sigma^2_\epsilon$ isn't constant but rather an increasing function of $x$.
If (c) is true, then the fundamental assumption that $Y_i = \beta_0 + \beta_1 X_i + \epsilon_i$ isn't true. If you see a curve in the residual plot, then that may suggest that the mean of $Y$ has a curved (possibly quadratic) relationship with $X$.