Unethical behaviorjustifiabilityrisk perceptionperceived corruptionmultiple regression analysisSee one of the latest research pieces we were working on by clicking at: https://www.tandfonline.com/eprint/BNNW4HPYKF9THYNSBFEW/full?target=10.1080/10508422.2020.1723101...
Research related to cardiorespiratory fitness often uses regression analysis in order to predict cardiorespiratory status or future outcomes. Reading these studies can be tedious and difficult unless the reader has a thorough understanding of the processes used in the analysis. This feature seeks to "si...
The last assumption of the linear regression analysis ishomoscedasticity. The scatter plot is good way to check whether the data are homoscedastic (meaning the residuals are equal across the regression line). The following scatter plots show examples of data that are not homoscedastic (i.e., hete...
This is very different from other imputation methods as it not only imputes missing values but also outputs the estimated value from multiple imputed datasets. The pooling method is Rubin's Rules (RR), which can pool parameter estimates such as mean differences, regression coefficients and ...
et al. LD score regression distinguishes confounding from polygenicity in genome-wide association studies. Nat. Genet. 47, 291–295 (2015). Article CAS PubMed PubMed Central Google Scholar Wray, N.R. & Visscher, P.M. Quantitative genetics of disease traits. J. Anim. Breed. Genet. 132,...
In the multivariate logistic regression analysis MDW (OR: 1.083; 95% CI 1.014–1.159; p < 0.02) as well as CRP (OR: 1.017; 95% CI 1.013–1.021; p < 0.001), platelets (OR: 0.991; 95% CI 0.987–0.995; p < 0.001), bilirubin (OR: 1.026; 95% CI 1.018–1.034; p ...
2.3. Statistical analysis This analysis used multinomial logistic regression, which simultaneously compares between exposure groups the odds of multiple, mutually-exclusive outcomes using a single chosen reference group. As per convention, we used BMI 18.5–24.99 kg/m2 as the reference group. All anal...
Analysis using multiple regression, on the other hand, would have assumed that all constructs are free of measurement error, which is rarely the case in the data found in social sciences (Hox and Bechger 1998). Third, SEM estimated indirect effects as well as direct effects among latent ...
Here, A0to A11are constants which were calculated by multiple regression analysis (EViews 10). We chose a linear regression analysis for our study due to its simplicity, effectiveness, and interpretability. Linear regression allows us to quantify the relationship between fuel consumption and various ...
1. Some Regression Notions Let’s start by understanding the basics of regression. As Wikipedia says: regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called the ‘outcome’ or ‘response’ variable) and one or more independen...