Lesson 2: Forecasting Methods in Project Management print lesson
- Introduction
- 2.1 Reasons for Forecasting in Project Management
- 2.2 Forecasting Methods for Projects
- 2.2.1 Qualitative Forecasting Methods
- 2.2.2 Quantitative Forecasting Methods
- Time Series Analysis
- Short Term Forecasting Methods
- Naïve Approach
- Simple Averages
- Moving Averages
- Exponential Smoothing
- Example of Exponential Smoothing
- Trend-Adjusted Exponential Smoothing
- Example of Trend-Adjusted Exponential Smoothing
- 2.3 Intermediate Term Forecasting
- Example of Linear Regression
- Evaluating the "Fit" of the Regression Line
- 2.3.2 The Correlation Coefficient (r)
- 2.3.3. The Standard Error of the Estimate (syx)
- 2.3.4 Limitations in Forecasting Using Linear Regression
- 2.3.4 Limitations in Forecasting Using Linear Regression (continued)
- 2.4 Forecasting the Project End Conditions
- 2.5 S-curve Forecasting
- 2.6 Technological Forecasting*