Question

the method of least squares minimizes the sum of the squared deviations between the actual select values and the estimated values of the select select dependent sum of square independent time-series

Explanation:

In the method of least squares, we are concerned with the deviation between the actual and estimated values of the dependent variable. The independent variable is used to predict the dependent variable, the sum of squares is what we minimize (not what we take deviations of), and time - series is a type of data, not the variable in this context. So the correct option for the first "Select" (the variable for which we have actual and estimated values) is "dependent".

Answer:

dependent