Heteroskedasticity refers to the state of systematic changes in the spread of residuals or the error term of the model. The presence of heteroskedasticity leads to violation of the assumption of the ordinary least square.
regression analysis, research data analysisA multicollinearity test helps to diagnose the presence of multicollinearity in a model. Multicollinearity refers to a state wherein there exists inter-association or inter-relation between two or more independent variables.
regression analysis, research data analysisData scientists strictly prefer to test normality and work on normally distributed data because of its benefits.
regression analysis, research data 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 analysis, research data analysisWhen the linkage between 2 variables exists through a middle variable. This middle variable is referred to as a mediating variable.
regression analysis, research data analysisRegression analysis signifies the extent of the relationship between the dependent and independent variables.
regression analysis, research data analysisRegression analysis is the statistical measurement which helps in linking the variables and determining the strength of the relationship between them.
regression analysis, research data analysisIn 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 analysis