When we engage in residual analysis, we would like the residuals to be randomly scattered. Option A is correct.
An essential stage in determining a regression model's validity is residual analysis. The discrepancies between the values that were seen and the values that the regression model anticipated are known as residuals.
The model's assumptions are satisfied and no systematic pattern remains unexplained when residuals are randomly distributed around zero. There are no discernible patterns or trends in the residuals, which suggests that the model is accurately reflecting the underlying relationships in the data.
Therefore, option A is correct.