Laboratory Use Of A Specially Programmed Excel User Form For Polynomial Regression
Author(s) -
Sheldon Jeter
Publication year - 2020
Publication title -
papers on engineering education repository (american society for engineering education)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--14780
Subject(s) - polynomial regression , polynomial , computer science , regression analysis , variable (mathematics) , linear regression , regression , range (aeronautics) , linear model , variables , data mining , machine learning , mathematics , statistics , engineering , mathematical analysis , aerospace engineering
Regression models are widely used in engineering practice, especially in mechanical and chemical engineering and in related fields. They are used to represent data and to calibrate instruments among other applications. Standard textbooks address linear regression models well, and some also address the associated statistical uncertainties of linear models. This uncertainty of a model is the range of uncertainty about the systematic dependence of the dependent variable on the independent variable(s).
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