# Worldatwork c3e practice test

## Quantitative Principles in Compensation ManagementExam

##### Question 1

For the same problem set, the market appears to be paying entry-level buyers 42,500. Approx how
many job evaluation points should your entry-level buyer position be worth to your org, assuming
the regression model provides a good fit, based solely on the linear model of y = 15000 + 50x?
A. 50
B. 15000
C. 500
D. 550

D
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##### Question 2

For the same problem set, what should your organization pay for an entry-level production-manual
editor, a job that has been determined to be worth 500 job evaluation points. y = 15000 + 50x

• A. 50,000
• B. 15,000
• C. 25,000
• D. 40,000

D

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##### Question 3

For the same problem set, what does the value 50 represent in the same equation? y = 15000 + 50x

• A. The monetary market-based pay increase associated with every additional point value in the job worth scale
• B. The ratio of the change in y-values relative to the change in x-values on the line of best fit
• C. The slope of the line
• D. All of the above

D

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##### Question 4

Market based pay = Intercept + (slope) x (job worth). You have collected data and have quantified
your model as follows: y = 15000 + 50x. The value of 15,000 in the model represents which of the
following?

• A. The slope of the line
• B. The point where the line of best fit crosses the x-axis corresponding to a y-value of zero
• C. The mean for y
• D. The intercept for the line of best fit

D

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##### Question 5

What type of relationship does this equation model?
y = a + bx + cx2

• A. Nonlinear regression
• B. Straight line regression
• C. Bivariate regression
• D. All of the above

A

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##### Question 6

What does a correlation of +1.0 indicate?

• A. A positive slope
• B. A negative slope
• C. A positive intercept
• D. A negative intercept

A

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##### Question 7

What type of relationship does the following equation model? y = a + b1x1 + b2x2

• A. Nonlinear regression
• B. Straight line regression
• C. Multiple linear regression
• D. All of the above

C

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##### Question 8

What type of regression model does the following equation suggest? y = a + b1x1

• A. Multiple factor regression
• B. Nonlinear regression
• C. Bivariate regression
• D. Curvilinear regression

C

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##### Question 9

Which of the following is characteristic of a normal distribution?

• A. It represents a perfect distribution of data
• B. It generally is skewed with a tail to the right
• C. It is best used to force a desired outcome.
• D. It approximates the distribution of naturally occurring phenomena.

D

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##### Question 10

In positively skewed distributions, the mean is usually which of the following?

• A. Larger than the median
• B. Between the median and the mode
• C. Smaller than the median
• D. Equal to the median