This article explains the different correlation and regression analysis values that are generated after conducting the tests. Their meaning, importance and how to interpret them are explained here.
correlation, regression analysisThis article explores the concept of multivariate regression analysis along with discussing its assumptions and relevance.
correlation, data analysis and conclusion, regression analysisInfluencing or control variables are said to be a moderating variable and the effect of these interactions is represented as an interaction effect
analyse with SPSS, regression analysisWhen the linkage between 2 variables exists through a middle variable. This middle variable is referred to as a mediating variable.
correlation, regression analysisRegression analysis signifies the extent of the relationship between the dependent and independent variables.
regression analysisRegression analysis is the statistical measurement which helps in linking the variables and determining the strength of the relationship between them.
regression analysis, research methodologyIn the previous article on Linear Regression using STATA, a simple linear regression model was used to test the hypothesis. However the linear regression will not be effective if the relation between the dependent and independent variable is non linear.
regression analysis, result interpretation, STATA for data analysisLinear regression analysis is conducted to predict the dependent variable based on one or more independent variables.
regression analysis, result interpretation, STATA for data analysis