Business Process & Quality Management

 Business Process Improvement for Every Department

Participants will have an inclusive insight of regression analysis, which is a highly used method to forecast future values. The participants will have a comprehensive understanding of forecasting procedures in different trend models and business functions.

We cover all the important aspects and business applications of regression analysis and forecasting methods as attempts to recognize patterns that have existed in the past and extrapolate these patterns into the future such as sales historical data, company expense records, etc.

The participants will learn how to evaluate the goodness-of-fit of the model and how to determine whether the relationship among variables (like employee salary, years of experience and degree) is statistically meaningful.

Course Outlines

• Prediction Function & Errors (Residuals).
• Regression Analysis: Assumptions, Models and Outputs.
• Prediction Intervals.
• Multiple Regressions.
• Confidence Interval.
• Hypothesis Test (p-value).
• Use of Dummy Variables.
• Forecasting Models.

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