... healthcare-related databases. This study examined the attributes that explain the most significant variation in each contributing factor. With multiple regression analysis for predicting cost and Student's t-tests for the significance of contributing factors, the authors of this study examined...

...) and low-density lipoprotein (LDL) cholesterols, and triglycerides on a CVD risk factor, left ventricular dilation, using multiple regression analysis (Haji et al., 2006). It found BMI during childhood to strongly influence adulthood CVD risk. Similarly, using a Cox regression analysis, Baker...

...), and well-being (Holman and Wall, 2002 ; Taris and Kompier, 2005). Neural network Clustering Job satisfaction Regression analysis © Emerald Group Publishing Limited 2016 The methods used in our work are fully explained below. where with respect to each i, β...

... to achieve the above‐mentioned results, a holistic benchmark with highly recognized companies is conducted. Applying a cohesive questionnaire of open and closed questions, the paper covers all relevant aspects of procurement functions. Regression analysis is used to identify significant correlations...

...‐normal, thus suggesting that the results can be used for software benchmarking. Regression analysis on the data further identified correlation of functional size with other project measures that can be used as a basis for planning and estimating software projects. Further work on the repository involves...