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6. QUA-REG-006 — Linear, Multiple, Logistic and Generalized Regression Analysis

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Description:

This Master Prompt would focus on using regression models to explain, estimate and predict quantitative or categorical outcomes. It would guide researchers through simple linear regression, multiple regression, hierarchical regression, polynomial regression, logistic regression and appropriate generalized regression models.

The prompts would cover model specification, coefficient estimation, residual diagnostics, multicollinearity, goodness of fit, adjusted R², odds ratios, confidence intervals, influential observations, interaction terms, variable selection and model validation.

You will get a DOCX (20KB) file