1. Which of the following statements is (are) not true about regression model? a

Question

1. Which of the following statements is (are) not true about regression model?

a) The intercept coefficient is not typically interpreted

. b) Estimates of the slope are found from sample data.

c) The dependent variable is the explanatory variable.

d) The regression line minimizes the sum of squared errors.

2. In a simple linear regression analysis the quantity that gives the amount by which Y ( response variable) changes for a unit in X (explanatory variable) is called the

a) Correlation coefficient.

b) Slope of the regression line.

c) Coefficient of determination.

d) Y-intercept of the regression line.

3. In order for a linear programming problem to have a unique solution, the solution must exist.

a) At the intersection of non-negativity constraints.

b) At the intersection of two or more constraints.

c) At the intersection of objective function and a constraint.

d) At the intersection of non-negativity and a resource constraint.

4. If the service rate decreases as the arrival rate remains constant, then in general.

a) Service costs increases

b) Customer waiting time decreases

c) Customer waiting time increases

d) Customer satisfaction increases

5. A feasible solution to a linear programming problem

a) Must give the maximum possible profit.

b) Must be a corner point of the feasible region.

c) Must satisfy all the problem’s constraints simultaneously.

d) Need not to satisfy all the constraints, only the non-negativity constraints.

Explanation / Answer

1. Which of the following statements is (are) not true about regression model?

c) The dependent variable is the explanatory variable.

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2. In a simple linear regression analysis the quantity that gives the amount by which Y ( response variable) changes for a unit in X (explanatory variable) is called the

b) Slope of the regression line.

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3. In order for a linear programming problem to have a unique solution, the solution must exist.

c) At the intersection of objective function and a constraint.

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4. If the service rate decreases as the arrival rate remains constant, then in general.

c) Customer waiting time increases

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5. A feasible solution to a linear programming problem

d) Need not to satisfy all the constraints, only the non-negativity constraints.

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