Introduction to Regression Analysis

By John C. Kern. 2007

363 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Modelling breeding habitat preferences of Bonelli’s eagle (Hieraaetus fasciatus) in relation to topography, disturbance, climate and land use at different spatial scales (2005, methodology): “Multi-colinearity test based on the variance inflation factor (VIF) analysis was calculated (Montgomery and Peck 1982) in order to avoid overparametrisation (Edwards 1985; Grand and Cushman 2003; Hobson et al.”
Adaptive Temporal Radio Maps for Indoor Location Estimation (2005, background): “Multiple regression is a generalization of simple linear regression which allows for the modelling of the relationship between a dependent variable and more than one independent variable [5, 7].”
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation (2021, neutral): “…re ﬂ ected in the wide and heterogeneous literature covering the different aspects and insights of the regression analysis, from general overviews ( Golberg & Cho, 2004 ; Freund, Wilson & Sa, 2006 ; Montgomery, Peck & Vining, 2021 ), to more technical studies ( Sykes, 1993 ; Lane, 2002 ) or…”