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A 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.
correlation, research methodologyData scientists strictly prefer to test normality and work on normally distributed data because of its benefits.
research methodology, research reliabilityNormality test identifies the nature of the distribution of data of a given variable. Normal distribution of data refers to the closeness of every observation in a dataset to its mean score.
research methodology, research reliabilityRegression 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 methodologyCorrelation refers to the extent of a relationship between the variables. In order to determine this relationship, it is essential to establish a correlation between the variables.
correlation, data testing with spss, empirical analysis with econometrics, research methodology, spss intermediateQantitative data refers to statistical datasets that express certain quantities, amounts and ranges.. Arithmetic operations are applied to quantitative data. This article explains the Quantitative data characteristics.
quantitative analysis, research data analysisStationarity in stationarity test is a property of time series which states that the value of the variable doesn’t change with time.
research data analysis, stationarity test