Polynomial Regression in Minitab – Tabtrainer® Optimization
Model nonlinear data in Minitab – use cubic regression to optimize process parameter
0
students
37 mins
content
May 2025
last update
$44.99
regular price
What you will learn
Understand how polynomial regression extends linear regression by incorporating higher-order terms (e.g., quadratic, cubic).
Recognize when polynomial regression is appropriate—particularly when data exhibits nonlinear trends.
Interpret the structure of a polynomial regression model and the role of each term in capturing data patterns.
Evaluate the impact of model complexity by comparing regression models of different degrees.
Use R-squared and adjusted R-squared to assess model quality and avoid overfitting.
Analyze residual plots to detect non-random patterns and validate model assumptions (e.g., normality, independence).
Apply the principle of parsimony by favoring simpler models unless higher-order terms significantly improve accuracy.
Course Gallery
6575117
udemy ID
16/04/2025
course created date
02/05/2025
course indexed date
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