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One of the following methods tells whether the forecast tends to be too high or too low?
In regression, an independent variable is sometimes called a response variable
The correlation coefficient has values between
In regression, a dependent variable is sometimes called
A firm makes two products, Y and Z. Each unit of Y costs $10 and sells for $40. Each unit of Z costs $5 and sells for $25. If the firm's goal were to maximize sales revenue, the appropriate objective function would be a. maximize $40Y = $25Z b. maximize $40Y + $25Z c. maximize $30Y + $20Zd. maximize 0.25Y + .20Ze. None of the above
Which of the following is not a part of every linear programming problem formulation?
Which one of the following is not considered a qualitative forecasting model?
Which of the following methods gives an indication of the percentage of forecast error?
in regression, there is random error that can be predicted
Which of the following is not a property of all linear programming problems?
Which of the following is a decision variable in the production mix problem of maximizing profit?
A shadow price (or dual value) reflects which of the following in a maximization problem? a. the marginal gain in the objective realized by subtracting one unit of a resource?b. the market price that must be paid to obtain additional resource c. the increase in profit that would accompany one added unit of a scarce resourced. the reduction in cost that owuld accompany a one unit decrease in the resourcee. none of the above
When applying linear programming to diet problems, the objective function is usually designed to
A linear programming problem contains a restrictio that reads "the quantity of S must be no less than one-fourth as large as T and U combined." formulate this as a constraint ready for use in problem solving softwarea. S / (T + U) >= 4b. S- .25T - .25U >= 0c. 4S <= T + Ud. S>= 4T / 4UE. None of the above
A linear programming approach is usually used by managers involved in portfolio selection to
the region which satisfies all of the constrains in graphical linear programming is called the a. area of optimal solutionsb. area of feasible solutionsc. profit maximization spaced. region of optimalitye. region of non- negativity
the corner point solution method requiresa. finding the value of the objective function at the originb. moving the iso-profit line to the highest level that still touches some part of the feasible regionc. moving the iso-profit line to the lowest level that still touches some part of the feasible regiond. finding the coordinates at each corner of the feasible solution spacee. none of the above
One of the following is a technique used to determine forecasting accuracy?
a linear programming problem has three constraints 2x + 10y <= 100 4x + 6y <= 1206x + 3y >= 90what is the largest quantity of x that can be made without violating any of these constraints? a. 50b. 30c. 20d. 15e. 10
A linear programming problem has two constraints 2x+ 4y <= 100 and 1x + 8Y < = 100. Which of the following statements about its feasible region is true? a. there are four corner points including (50, 0 ) and (o, 12.5). b. The two corner points are (o,0) and (50, 12.5). C. the graphical origin (0,0) is not in the feasible regiond. the feasible region includes all points that satisfy one constraint, the other, or both. e. the feasible region cannot be determined without knowing whether the problem is to be minimized or maximized

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