C723 BUS 3100
Qualitative Analysis For Business
OBJECTIVE ASSESSMENT GUIDE
© WGU 2024/2025
,1. Which quantitative analysis approach is most suitable for
predicting employee turnover?
a) Decision Trees
b) Linear Regression
c) Time Series Analysis
d) Cluster Analysis
Answer: b) Linear Regression
Rationale: Linear regression is widely used for predicting
continuous outcomes, such as employee turnover.
2. In a simple linear regression model predicting employee
performance based on training hours, the slope coefficient is 0.5.
What does this signify?
a) For each additional hour of training, performance improves by
50%.
b) For each additional hour of training, performance score
increases by 0.5 units.
c) Training does not affect performance.
d) Performance decreases by 0.5 units with each additional hour
of training.
Answer: b) For each additional hour of training,
performance score increases by 0.5 units.
© WGU 2024/2025
, Rationale: The slope coefficient in a linear regression
represents the change in the dependent variable for each unit
change in the independent variable.
3. Which sampling method is best to ensure that all job levels are
properly represented in an employee survey?
a) Simple Random Sampling
b) Stratified Sampling
c) Cluster Sampling
d) Convenience Sampling
Answer: b) Stratified Sampling
Rationale: Stratified sampling ensures that all subgroup
characteristics, such as job levels, are adequately represented.
4. When conducting a hypothesis test to compare the mean
salaries between two departments, which test would you use?
a) Paired t-test
b) Chi-square test
c) Independent t-test
d) ANOVA
Answer: c) Independent t-test
Rationale: The independent t-test compares the means
between two independent groups.
© WGU 2024/2025
Qualitative Analysis For Business
OBJECTIVE ASSESSMENT GUIDE
© WGU 2024/2025
,1. Which quantitative analysis approach is most suitable for
predicting employee turnover?
a) Decision Trees
b) Linear Regression
c) Time Series Analysis
d) Cluster Analysis
Answer: b) Linear Regression
Rationale: Linear regression is widely used for predicting
continuous outcomes, such as employee turnover.
2. In a simple linear regression model predicting employee
performance based on training hours, the slope coefficient is 0.5.
What does this signify?
a) For each additional hour of training, performance improves by
50%.
b) For each additional hour of training, performance score
increases by 0.5 units.
c) Training does not affect performance.
d) Performance decreases by 0.5 units with each additional hour
of training.
Answer: b) For each additional hour of training,
performance score increases by 0.5 units.
© WGU 2024/2025
, Rationale: The slope coefficient in a linear regression
represents the change in the dependent variable for each unit
change in the independent variable.
3. Which sampling method is best to ensure that all job levels are
properly represented in an employee survey?
a) Simple Random Sampling
b) Stratified Sampling
c) Cluster Sampling
d) Convenience Sampling
Answer: b) Stratified Sampling
Rationale: Stratified sampling ensures that all subgroup
characteristics, such as job levels, are adequately represented.
4. When conducting a hypothesis test to compare the mean
salaries between two departments, which test would you use?
a) Paired t-test
b) Chi-square test
c) Independent t-test
d) ANOVA
Answer: c) Independent t-test
Rationale: The independent t-test compares the means
between two independent groups.
© WGU 2024/2025
