There are a number of statistical tests that explore the relationship between the independent variable(s) and the dependent variable. The key is to translate the business problem into a ...

Department of Mathematics and Statistics, Faculty of Science, King Faisal University, P. O. Box 400, Hofuf 31982, Saudi Arabia Department of Mathematics, Faculty of Science, Kafrelsheikh University, ...

However, in statistical terms we use correlation to denote association ... These represent what is called the “dependent variable”. The “independent variable”, such as time or height or some other ...

Will comparison groups, for example, be independent (eg, experimental units randomized to competing conditions) or dependent (the ... that lead to appropriate statistical techniques and tests based on ...

Department of Mathematics and Statistics, Faculty of Science, King Faisal University, P.O. Box 400, Hofuf 31982, Saudi Arabia Department of Mathematics, Faculty of Science, Kafrelsheikh University, ...

Data downloads QoG Data offers open-access datasets, both other sources compilation datasets and original content datasets, so users can learn, research and understand better the concepts relating to ...

ABSTRACT: The UN Sustainable Development Goal 12—“Responsible consumption and production” targets efficient use of resources and the lessening of waste and pollution. Organisations strive to measure ...

This plugin makes calculating a range of statistics very easy ... The Visa (V) stock returns data populates column 1 as the dependent variable. S&P 500 returns data populates column 2 as the ...

Regression analysis is a statistical method used for estimating the relationships among variables. It can help you understand how the typical value of the dependent variable changes when any one ...

However, comprehensively understanding neuronal tuning poses challenges due to statistical issues such as temporal autocorrelation and missing variables ... temporally dependent factors also driving ...

ABSTRACT: The behavior of the determinants explaining the gender wage gap of young people in the Congo labor market is examined in this paper. Using quantile regression from data related to the ETVA ...