Which residual contributes the most to the sum that was minimized according to the least squares criterion to find this regression?

At present, a line that fits the data well will be one for which then prediction errors (one for each of the n data points — n = 10, in this case) are as small as likely in some in the general sense. This plan is called the "least squares criterion." In tiny, the least squares criterion tells us that in order to find the equation of the best fitting line: y^i=a1+bxi.

The answer is: teller, loan officer, and tax preparer

Teller act as a front liner on banks who deals directly with the customers. The main job of a teller is to assist the people in making their transaction in the bank.

The main duty of a loan officer is to finds potential clients who need capital injection and assists them in acquiring loans.

Tax prepares help their clients in examining their tax report in other to find out the items that can be used as tax returns.