The main difference between linear (LP) and nonlinear programming problems (NLP) is that

	a.	No interaction terms are allowed in NLP
	b.	NLP must have a nonlinear objective function
	c.	Only one constraint in NLP can be nonlinear
	d.	Some constraints in NLP may be nonlinear

The standard prediction error is

	a.	always smaller than the standard error.
	b.	used to construct confidence intervals for predicted values.
	c.	measures the variability in the predicted values.
	d.	all of these.

The GRG algorithm terminates when it

	a.	has reached the global optimal solution.
	b.	has completed 100 iterations.
	c.	when it detects no feasible direction for improvement.
	d.	when it reaches the steepest gradient.

The regression function indicates the

	a.	average value the dependent variable assumes for a given value of the independent variable.
	b.	average value the dependent variable assumes for a given value of the dependent variable
	c.	actual value the dependent variable assumes for a given value of the independent variable
	d.	actual value the independent variable assumes for a given value of the dependent variable

Which of the following is an advantage of using the TREND() function versus the regression tool?

	a.	The TREND() function handles multiple dependent variable data.
	b.	The TREND() function does not use a least squares regression line.
	c.	The TREND() function provides more statistical information.
	d.	The TREND() function is dynamically updated when input to the function changes.