Extant research suggests that workplace ostracism has a detrimental impact on the outcomes of employees. However, very little is known about the impact of workplace ostracism on sleep quality. Therefore, this study aimed to address this gap in the literature. By employing the extended stressor-det...
Regression K SSR =Σ(Yˆj−Y¯)2 MSR = SSRK Error N–K–1 SSE = Σ(Yj−Yˆj)2 MSE =SSEN−K−1 The coefficient of determination is (1-54)r2=1−SSESST and the correlation coefficient is (1-55)r=(1−SSESST)0.5 The test statistic is the F - ratio, which we ...
Research and Methods 3.12.4.4.5Multiple linear regression analysis Asimplelinearregression analysisinvolves the regression of adependent variableon one independent variable.Multiplelinear regression analysis extends the statistical model such that one dependent variable is regressed on multiple independent variabl...
Crop yield and its prediction are crucial in agricultural production planning. This study investigates and predicts arabica coffee yield in order to match the market demand, using artificial neural networks (ANN) and multiple linear regression (MLR). Data of six variables, including areas, productivit...
For statistically significant correlations, an additional multivariate regression analysis was performed (Methods). Fig. 1: Study design. a, The Cell-based Medicinal Product used for transplantation originated from non-immortalized hfNPCs (BI-0194-008 cell line) obtained from the telencephalon and ...
Researchers often use 3-way interactions in moderated multiple regression analysis to test the joint effect of 3 independent variables on a dependent variable. However, further probing of significant interaction terms varies considerably and is sometimes error prone. The authors developed a significance ...
Multiple linear regression and gene expression programming to predict fracture density from conventional well logs of basement metamorphic rocksOriginal Paper - Exploration Geophysics Open access Published: 20 April 2024 Volume 14, pages 1899–1921, (2024) Cite this article ...
To examine how much each of the patient, apathy, fatigue, and depression factors affect the BRB-N score, multiple regression analysis was conducted with these 4 factors as explanatory variables for each BRB-N test. In this analysis, “patient” was defined as 1 and “healthy control” as 0...
Siskos Y, Yannacopoulos D (1985) Utastar: An ordinal regression method for building additive value functions. Investigaçao Operacional 5(1):39–53 Google Scholar Słowínski R, Greco S, Matarazzo B (2002) Axiomatization of utility, outranking and decision-rule preference models for multiple-...
This paper utilizes two variable importance analysis methods to identify the relative importance of different geographic factors to explain the spatial distribution of poverty: the Lindeman, Merenda, and Gold (LMG) method used in multiple linear regression (MLR) and variable importance used in random...