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Financial CIA-III Exam (page: 12)
Financial The Certified Internal Auditor Part 3
Updated on: 15-Feb-2026

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CIA-III PDF with 1554 Questions

QUESTION: 56 Exam Topic: 1, Volume A

Correlation is a term frequently used in conjunction with regression analysis and is measured by the value of the coefficient of correlation, r. The best explanation of the value r is that it:

Is always positive.
Interprets variances in terms of the independent variable.
Ranges in size from negative infinity to positive infinity.
Is a measure of the relative relationship between two variables.

Answer(s): D

Explanation:

The coefficient of correlation (r) measures the strength of the linear relationship between the dependent and independent variables. The magnitude of r is independent of the scales of measurement of x and y. The coefficient has a range of-1 to +1. A value of zero indicates no linear relationship between the x and y variables. A value of+1 indicates a perfectly direct relationship, and a value of --1 indicates a perfectly inverse relationship.

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QUESTION: 57 Exam Topic: 1, Volume A

In preparing the annual profit plan for the coming year.

Based upon the data derived from the regression analysis, 420 maintenance hours in a month would mean the maintenance costs (rounded to the nearest US dollar) would be budgeted at:

US$3,780
US$3,600
US$3,790
US$3,746

Answer(s): D

Explanation:

Substituting the given data into the regression equation results in a budgeted cost of US $3,746 (rounded to the nearest US dollar).
y = a + bx
= 684.65 + 7.2884(420)
= US $3,746

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QUESTION: 58 Exam Topic: 1, Volume A

In preparing the annual profit plan for the coming year.

What is the percentage of the total variance that can be explained by the regression equation?

99.724%
69.613%
80.982%
99.862%

Answer(s): A

Explanation:

The coefficient of determination (r2) measures the percentage of the total variance in cost that can be explained by the regression equation. If the coefficient of determination is .99724, 99.724% of the variance is explained by the regression equation. Thus, the values in the regression equation explain virtually the entire amount of total cost.

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QUESTION: 59 Exam Topic: 1, Volume A

The internal auditor of a bank has developed a multiple regression model that has been used for a number of years to estimate the amount of interest income from commercial loans. During the current year, the auditor applies the model and discovers that the r2 value has decreased dramatically, but the model otherwise seems to be working.
Which of the following conclusions is justified by the change?

Changing to a cross-sectional regression analysis should cause r2to increase.
Regression analysis is no longer an appropriate technique to estimate interest income.
Some new factors not included in the model are causing interest income to change.
A linear regression analysis would increase the model's reliability.

Answer(s): C

Explanation:

The coefficient of determination (r2) is the amount of variation in the dependent variable (interest income) that is explained by the independent variables. In this case, less of the change in interest income is explained by the model. Thus, some other factor must be causing interest income to change. This change merits audit investigation.

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QUESTION: 60 Exam Topic: 1, Volume A

What does the following scatter gram suggest?

Sales revenue is inversely related to training costs.
The training program is not effective.
Training costs do not affect sales revenue.
Several data points are incorrectly plotted.

Answer(s): C

Explanation:

Internal auditors may use scatter diagrams to detect misstated data, relationships among variables, and unusual operating results. A scatter diagram is a graph of data points.
When the points have a systematic relationship, the independent (x) variable and dependent (y) variable are likely to be correlated; i.e.. the value of one variable is a predictor of the value of the other. However, the variables in this scatter gram are clearly uncorrelated because training costs do not predict sales.

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