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PMI-RMP · Question #513

A risk manager on an infrastructure project gathers and analyzes performance data. The risk manager wants to identify which variables will impact the schedule and determine how these factors…

The correct answer is C. Regression analysis. Regression analysis is a data analysis tool that helps identify variables that impact the schedule and determine how these factors interact. It is used to forecast future performance based on historical data and the relationship between variables. Regression analysis is a data…

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Question

A risk manager on an infrastructure project gathers and analyzes performance data. The risk manager wants to identify which variables will impact the schedule and determine how these factors interact. Which data analysis tool should the risk manager use to forecast future performance?

Options

  • ASensitivity analysis
  • BWhat-if scenario analysis
  • CRegression analysis
  • DDecision tree analysis

How the community answered

(36 responses)
  • A
    8% (3)
  • B
    6% (2)
  • C
    72% (26)
  • D
    14% (5)

Explanation

Regression analysis is a data analysis tool that helps identify variables that impact the schedule and determine how these factors interact. It is used to forecast future performance based on historical data and the relationship between variables. Regression analysis is a data analysis tool that examines the relationship between one or more independent variables and a dependent variable. Regression analysis can be used to forecast future performance based on historical data and trends. In this case, the risk manager wants to identify which variables will impact the schedule (the dependent variable) and determine how these factors interact (the independent variables). Therefore, the risk manager should use regression analysis to create a mathematical model that can predict the schedule performance based on the values of the variables. Regression analysis can also help the risk manager to assess the significance and strength of the relationship between the variables and the schedule3.

Topics

#Quantitative risk analysis#Regression analysis#Forecasting#Schedule impact analysis

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