Free IIA-CIA-Part3 Exam Braindumps (page: 13)

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Which of the following is a major element of the ISO 9000 quality management system standards?

  1. The principle that improved employee satisfaction will lead to increased productivity.
  2. The attitude and actions of the board and management regarding the significance of control within the organization.
  3. The assessment of the risk that objectives are not achieved.
  4. A requirement for organizations to monitor information on customer satisfaction as a measure of performance.

Answer(s): D

Explanation:

ISO 9000:2008 provides a model for quality assurance programs. It requires an entity to demonstrate its ability to increase customer satisfaction through improving the QMS and ensuring conformity with requirements.



In the standard regression equation y- a + bx, how is the letter £> best described?

  1. Independent variable.
  2. Dependent variable.
  3. Y intercept.
  4. Slope of the regression line.

Answer(s): D

Explanation:

In the standard regression equation, b is the slope of the regression line.



How is the letter x in the standard regression equation best described?

  1. Independent variable.
  2. Dependent variable.
  3. Y intercept.
  4. Coefficient of determination.

Answer(s): A

Explanation:

The letter x in the standard regression equation is the independent variable. For example, in a regression to determine the total cost of production, x equals units produced.



A division uses a regression in which monthly advertising expenditures are used to predict monthly product sales (both in millions of US dollars). The results show a regression coefficient for the independent variable equal to 0.8. This coefficient value indicates that:

  1. The average monthly advertising expenditure in the sample is US $800,000.
  2. When monthly advertising is at its average level, product sales will be US $800,000.
  3. On average, every additional dollar of advertising results in US $.80 of additional sales.
  4. Advertising is not a good predictor of sales because the coefficient is so small.

Answer(s): C

Explanation:

The regression coefficient represents the change in the dependent variable corresponding to a unit change in the independent variable. Thus, it is the slope of the regression line, represented by b in the linear equation y= a + bx.






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