Develop Simple/Multiple/Polynomial Regression and Logistic Models Where Appropriate; Evaluate Correlation and Effect Direction/Magnitude

Work Context

Graduate Quantitative Engineering Methods ↗

Capabilities

Model Relationships Between Factors and OutcomesRecorded application
Why these connect
The source model links this activity to the capability.

Systems & Equipment

All Portfolio Connections

All portfolio connections (18)

DOE, Regression, and Empirical Statistical Modeling — Application Review Review artifact
Production-Rate Models and Statistical Interpretation Review artifact
Model Relationships Between Factors and Outcomes Recorded application
Filtration Demand and Capacity Modeling Application relevance
Lines 1 & 2 Bottling Expansion Application relevance
Processed Meat and Seafood Soluble RBE Application Platform Application relevance
Product Application and Intellectual-Property Expansion Application relevance
Production and Packaging Modernization Application relevance
Wine Clarification and Vinegar Polishing Modernization Application relevance
Ceramic Crossflow Filter System + Ion Exchange Trial Application relevance
Lines 1 & 2 Bottling and Packaging Lines Application relevance
Processed Meat and Seafood Soluble RBE Application Platform Application relevance
Built Filtration Demand Model Using Acetator Logs, Production History, Product Filterability, Filtration Supplier Technical Trials, VCF Trends, and Peak-Demand Scenarios. Method application
Developed Line Layout, Equipment Specification, Utility Coordination, Warehouse-Flow Model, Labor Plan, Civil/Facility Upgrades, Controls Architecture, and Capital Budget Method application
RBE Application-Development and Qualification Scope Method application
Develop Simple/Multiple/Polynomial Regression and Logistic Models Where Appropriate; Evaluate Correlation and Effect Direction/Magnitude ↗ Existing portfolio connection
Industrial Engineering Analytics ↗ Existing portfolio connection
Graduate Quantitative Engineering Methods Existing portfolio connection

Related Activities

Built Filtration Demand Model Using Acetator Logs, Production History, Product Filterability, Filtration Supplier Technical Trials, VCF Trends, and Peak-Demand Scenarios.Method application
Why these connect
Model relationships between factors and outcomes provides analytical preparation for the decision in the connected activity. Modeling relevance does not imply that every named regression family was used.
Developed Line Layout, Equipment Specification, Utility Coordination, Warehouse-Flow Model, Labor Plan, Civil/Facility Upgrades, Controls Architecture, and Capital BudgetMethod application
Why these connect
Model relationships between factors and outcomes provides analytical preparation for the decision in the connected activity. Modeling relevance does not imply that every named regression family was used.
RBE Application-Development and Qualification ScopeMethod application
Why these connect
Model relationships between factors and outcomes provides analytical preparation for the decision in the connected activity. Modeling relevance does not imply that every named regression family was used.