This paper proposes a model for predicting salaries based on the 1994 Census Database to predict whether final salary is over 50 thousand dollars or not. In order do this, researchers will identify various factors that may influence wages and analyze their impact salary. To find most accurate model, use 32561 records, each containing 15 elements, apply three different machine learning algorithm...

Objectives To determine whether age, body mass index (BMI), hand length and forearm circumference were predictive of hand grip strength in healthy Saudi Arabian adult males. Methods This cross-sectional descriptive study recruited healthy adult male volunteers. Their anthropometric characteristics including age, BMI, hand length and forearm circumference were measured using routine techniques. ...

BACKGROUND AND AIM The influenza A virus (IAV) is an important zoonotic pathogen with infections also reported in dogs. IAV infections can be detected through the presence of antibodies using the enzyme-linked immunosorbent assay (ELISA). Serum is the only standard sample source; however, there is no information on the availability of other sample sources for IAV antibody detection in dogs. Com...

OBJECTIVES We aimed to determine the accuracy of sonographic formulas for estimating birth weight in twin pregnancies. METHODS We conducted a retrospective cohort study of consecutive twin pregnancies undergoing sonography at within 1 week of delivery. Pregnancies were included if biometric measurements and birth weight were available and excluded if anomalies were present. Estimated fetal we...

results awareness of the majority of nurses about the rights of the patients with mental disorder and respect for their rights from their perspective were at a good level. using pearson correlation coefficient test, a statistically significant correlation was found between the level of awareness of and the respect for their rights from the perspective of nurses (p ≤ 0.002). conclusions this stu...

Detecting dependence between two random variables is a fundamental problem. Although the Pearson correlation coefficient is effective for capturing linear dependence, it can be entirely powerless for detecting nonlinear and/or heteroscedastic patterns. We introduce a new measure, G-squared, to test whether two univariate random variables are independent and to measure the strength of their rela...

In this tutorial article, the concepts of correlation and regression are reviewed and demonstrated. The authors review and compare two correlation coefficients, the Pearson correlation coefficient and the Spearman rho, for measuring linear and nonlinear relationships between two continuous variables. In the case of measuring the linear relationship between a predictor and an outcome variable, s...

The use of Pearson’s correlation coefficient in Author Cocitation Analysis was compared with Salton’s cosine measure in a number of recent contributions. Unlike the Pearson correlation, the cosine is insensitive to the number of zeros. However, one has the option of applying a logarithmic transformation in correlation analysis. Information calculus is based on both the logarithmic transformatio...