In order to calculate confidence intervals and hypothesis tests, it is assumed that the errors are independent and normally distributed with mean zero and variance 2 σ . Given a sample of N observations on X and Y, the method of least squares estimates β0 and β1 as well as various other quantities that describe the precision of the estimates and the goodness-of-fit of the straight line to the d...

In order to calculate confidence intervals and hypothesis tests, it is assumed that the errors are independent and normally distributed with mean zero and variance 2 σ . Given a sample of N observations on X and Y, the method of least squares estimates β0 and β1 as well as various other quantities that describe the precision of the estimates and the goodness-of-fit of the straight line to the d...

In many health-related studies, investigators wish to assess the strength of an association between 2 measured (continuous) variables. For example, the relation between highsensitivity C-reactive protein (hs-CRP) and body mass index (BMI) may be of interest. Although BMI is often treated as a categorical variable, eg, underweight, normal, overweight, and obese, a noncategorized version is more ...

Greenhouse experiments in a completely randomized design were carried out to investigate the effects of nitroxin fertilizer (0, 1 and 2 li/ha) on morphological and physiological traits of Amaranthus retroflexus in 2013. The traits in the study included plant height, fresh and dry weight of shoots, roots, stem and leaf, Chlorophyll a, chlorophyll b, total chlorophyll, carotenoids, anthocyanin, a...

In this paper, we seek to find a computationally light centrality metric that could serve as an alternate for the computationally heavy betweenness centrality (BWC) metric. In this pursuit, in the first half of the paper, we evaluate the correlation coefficient between BWC and the other commonly used centrality metrics such as Degree Centrality (DEG), Closeness Centrality (CLC), Farness Central...

New approaches that combine the strengths of humans and machines are necessary to equip analysts with the proper tools for exploring today’s increasing complex, multivariate data sets. In this paper, a visual data mining framework, called the Multidimensional Data eXplorer (MDX), is described that addresses the challenges of today’s data by combining automated statistical analytics with a highl...