The Lagrangian multiplier is the __________ for a constraint in a nonlinear problem.
a. shadow price
b. payoff value
c. reducing gradient
d. reduced cost
Question 2
The least squares regression line minimizes the sum of the
a. differences between actual and predicted y values. b. absolute deviations between actual and predicted y values.
c. absolute deviations between actual and predicted x values. d. squared differences between actual and predicted y values