A standardized regression coefficient is created by transforming all variables in the model to have a mean of zero and a standard deviation of 1.0. This allows the standardized coefficients to be ...

For the design of reliable power grounding systems for critical electrical infrastructure, soil resistivity investigation is crucial. However, soil resistivity depends on various geotechnical ...

For the design of reliable power grounding systems for critical electrical infrastructure, soil resistivity investigation is crucial. However, soil resistivity depends on various geotechnical ...

5. Use Correct Regression Function: Navigate to Data > Data Analysis and select Regression. Input the correct ranges for your Y Range (dependent variable) and X Range (independent variables). 6.

Often, regression models that appear nonlinear upon first glance are actually linear. The curve estimation procedure can be used to identify the nature of the functional relationships at play in ...

In this article, we extend the popular supervised learning technique radial basis function network (RBFN) for regression modeling based on fuzzy responses and e ...

Excluding secondary factors and reserving decisive factors of steel properties, relationship between the properties of deformed steel bar and chemical elements is analyzed by applying stepwise ...

Depending on the specific implementation, there are differences in the way dynamic neural networks accomplish dynamics, and they can be broadly classified into two types: the first is regression ...

Article citations More>> Xu, K.C., Bi, L.P. and Chen, M.C. (2017) Prediction Model of Compressive Strength of Lithium Slag Concrete Based on SPSS Regression Analysis. Journal of Architecture and Civil ...