Tag: correlation coefficient
Spearman Rank Correlation Analysis | Practical Test on the Relationship Between Education Level and Performance Level
In statistics, correlation tests are frequently used by researchers to examine associations. The purpose of conducting a correlation test is to determine the relationship between two observed variables. However, many people still ask me about one specific correlation test for variables measured on an ordinal scale.
The Fundamental Differences of Pearson Correlation, Spearman Rank, Kendall tau, and Chi-Square
The associative correlation test between variables is currently the most frequently chosen by researchers, lecturers, and students to answer research hypotheses. There are several choices of correlation tests that can be chosen, but the selection of correlation tests must follow statistical rules.
Non-Multicollinearity Test in Multiple Linear Regression
When analyzing data using linear regression using the Ordinary Least Square (OLS) method, it takes an understanding of the assumption test that must be passed. The non-multicollinearity test is necessary to get the best linear unbiased estimator. The multiple linear regression OLS method has been widely applied in various fields: economics, agribusiness, and socio-economic fields. The estimation of the output of this linear regression has many benefits. Various research problems can be solved with this analytical approach. When we choose to use regression analysis, we are trying to see the influence or impact of one or more variables on other variables. Therefore, many researchers, lecturers, students, and practitioners choose linear regression using the OLS method as a data analysis tool.