Analyzing a multiple regression model

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Reference no: EM133208673

Assignment:

1. In analysing a problem, you should normally study

  • The qualitative aspects
  • The quantitative aspects
  • Both a and b
  • Neither a nor b

2. Quantitative analysis is typically associated with the use of

  • Schematic models
  • Physical models
  • Mathematical models
  • Scale models

3. Sensitivity analysis is most often associated with which step of the quantitative analysis approach?

  • Defining the problem
  • Acquiring input data
  • Implementing the results
  • Analyzing the results

4. The square root of the variance is the

  • Expected value
  • Standard deviation
  • Area under the normal curve
  • All of the above

5. Probabilities for all the possible values of a discrete random variable

  • May be greater than 1
  • May be negative on some occasions
  • Must sum to 1
  • Are represented by area underneath the curve

6. In decision theory terminology, a course of action or a strategy that may be chosen by a decision maker is called

  • A payoff
  • An alternative
  • A state of nature
  • None of the above

7. If probabilities are available to the decision maker, then the decision-making environment is called

  • Certainty
  • Uncertainty
  • Risk
  • None of the above

8. A decision tree is preferable to a decision table when

  • A number of sequential decisions are to be made
  • Probabilities are available
  • The maximax criterion is used
  • The objective is to maximize regret

9. A multiple regression model differs from a simple linear regression model because the multiple regression model has more than one

  • Independent variable
  • Dependent variable
  • Intercept
  • Error

10. A good regression model should have

  • A low r2 and a low significance level for the F-test
  • A high r2 and a high significance level for the F-test
  • A high r2 and a low significance level of the F-test
  • A low r2 and a high significance level of the F-test

Reference no: EM133208673

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