Final answer:
In the least-squares regression line, the desired sum of the errors (residuals) should be zero.
Step-by-step explanation:
The desired sum of the errors (residuals) in the least-squares regression line should be zero.
In the least-squares regression line, the goal is to minimize the sum of the squared errors (SSE). This is achieved by finding the line that best fits the data points. The residuals, which are the differences between the actual y-values and the predicted y-values on the regression line, should ideally sum up to zero when the line is the best fit.