D351 - TOPIC 3 Exam | Questions and Answers |
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Senior management provides estimates based on their understanding of the
organization's workforce needs.
Choose an answer
1 Management Estimates 2 Quantitative Forecasting
3 Multiple Linear Regression Use 4 Exponential Smoothing
Don't know?
Terms in this set (32)
, Quantitative Forecasting Uses numerical data and statistical methods to
predict future HR needs based on past trends and
data patterns.
Qualitative Forecasting Relies on subjective judgment, expert opinions,
and insights to predict future HR needs, often used
when quantitative data is limited or unavailable.
Trend Analysis Identifies patterns or trends in historical data to
forecast future demand.
Moving Average Uses the average of past data points over a
specific period to predict future values.
Exponential Smoothing Applies weighted averages of past data points to
forecast future demand, giving more weight to
recent data.
Multiple Linear Regression Predicts future HR needs based on the relationship
between multiple independent variables and a
dependent variable.
Time Series Analysis Examines historical data over time to identify
patterns and project future demand.
Simulation Models Uses computer models to simulate various
scenarios and predict future HR demand.
Delphi Method Collects and synthesizes expert opinions through
multiple rounds of surveys or interviews.
Nominal Group Technique Involves a group of experts who discuss and rank
their ideas and opinions to arrive at a consensus.
Verified Solutions | 2026 Edition | Pass
Guaranteed
Save
Practice questions for this set
Learn 1 /7 Study using Learn
Senior management provides estimates based on their understanding of the
organization's workforce needs.
Choose an answer
1 Management Estimates 2 Quantitative Forecasting
3 Multiple Linear Regression Use 4 Exponential Smoothing
Don't know?
Terms in this set (32)
, Quantitative Forecasting Uses numerical data and statistical methods to
predict future HR needs based on past trends and
data patterns.
Qualitative Forecasting Relies on subjective judgment, expert opinions,
and insights to predict future HR needs, often used
when quantitative data is limited or unavailable.
Trend Analysis Identifies patterns or trends in historical data to
forecast future demand.
Moving Average Uses the average of past data points over a
specific period to predict future values.
Exponential Smoothing Applies weighted averages of past data points to
forecast future demand, giving more weight to
recent data.
Multiple Linear Regression Predicts future HR needs based on the relationship
between multiple independent variables and a
dependent variable.
Time Series Analysis Examines historical data over time to identify
patterns and project future demand.
Simulation Models Uses computer models to simulate various
scenarios and predict future HR demand.
Delphi Method Collects and synthesizes expert opinions through
multiple rounds of surveys or interviews.
Nominal Group Technique Involves a group of experts who discuss and rank
their ideas and opinions to arrive at a consensus.
