Soyer and Hogarth’s article, “The Illusion of Predictability,” shows that diagnostic statistics that are commonly provided with regression analysis lead to confusion, reduced accuracy, and overconfidence. Even highly competent researchers are subject to these problems. This overview examines the Soyer-Hogarth findings in light of prior research on illusions associated with regression analysis. ...

This study examines the impact of consumers' use of food labels on selected nutrient intakes of Americans. Endogenous switching regression techniques are employed to control for heterogeneity in the label use decision. When the nutrient intakes of label users and the expected nutrient intakes of label users in the absence of labels are compared, food label use decreases individuals' average dai...

When conducting inter-species regression analyses, the phylogenetic relationships between the individual species need to be taken into account. In this paper, a procedure for conducting such analyses is discussed, which only requires the use of a measure of relationship between pairs of species, rather than a complete phylogeny, and which at the same time assesses the importance to be attached ...

In presence of multicollinearity principal component regression (PCR) is sometimes suggested for the estimation of the regression coefficients of a multiple regression model. Due to ambiguities in the interpretation involved by the orthogonal transformation of the set of explanatory variables the method could not yet gain wide acceptance. Factor analysis regression (FAR) provides a model-based ...

Logistic regression is used to obtain odds ratio in the presence of more than one explanatory variable. The procedure is quite similar to multiple linear regression, with the exception that the response variable is binomial. The result is the impact of each variable on the odds ratio of the observed event of interest. The main advantage is to avoid confounding effects by analyzing the associati...

Since Sir Francis Galton presented his rudimentary idea of regression line in 1877, regression analysis has become a center of statistical analysis in both observational studies and experimental studies. With the advance of computational environment, more generalized and sophisticated models than simple linear regression, such as multivariate, polynomial, exponential, logistic, time-series, sem...

the purpose of this study was to identify daily changes in body weight of broiler chickens using image processing and multi-regression analysis. therefore, thirty 1-day-old broiler chickens were reared under standard rearing condition and after acquiring images they were weighted, individually. from 2490 digital images, six features (perimeter, area convex, major axis, minor axis, eccentricity)...