Learn how to use regression analysis to model relationships between variables — and make data-driven predictions for your processes.
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Regression is a statistical method used to analyze relationships between a dependent variable and one or more independent variables.
In this module, you will learn how to make predictions about dependent variables by identifying functions that best explain observed data. Regression methods are widely applied across industries such as business, healthcare, and engineering — making them versatile tools for process analysis and optimization.
Understanding regression helps organizations identify patterns, improve forecasting, and make more reliable decisions based on data.
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All programs are limited in size to ensure maximum learning quality. Early booking is strongly recommended.
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