Author: Kanda Data
Regression Assumption Test: How and Why to Do?
Incidentally, the topic that I will discuss this time is the linear regression assumption test using the ordinary least square method. “Why do we have to use the linear regression assumption test? Can I directly do a regression analysis?” To answer this question, you need to go back a little bit by turning page after page from a book on econometric theory or socio-economic statistics, okay? One of the main points that you need to pay attention to is that you are doing an estimate when you analyze research data and then choose regression as an analysis tool.
Hypothesis Test for Regression and Correlation Analysis
Do you still remember the term hypothesis? The hypothesis is a temporary conclusion from the research results that will conduct. You can also state that the hypothesis is a preliminary answer from the research results based on our presumptions. In this article, I will discuss the Hypothesis Test for Regression and Correlation Analysis on this occasion.
How to Write an Abstract of an Article for Publication in a Scientific Journal
Skills in writing articles, nowadays are increasingly needed. A researcher is not only required to be able to produce novelty in research activities but also needs skills to convey research results in written form. Although the research results have important benefits for the world of science, if the research results do not reach the intended users, the delivery of the research results can be hampered.
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.
How to Calculate a Simple Linear Regression using Excel
In statistics, simple linear regression analysis consists of only two variables. The two variables are one dependent variable and one independent variable. On this occasion, we will discuss how to calculate a simple linear regression using Excel.
How to Calculate a Multiple Linear Regression using Excel
Multiple linear regression analysis can determine the effect of one variable on other variables. In multiple linear regression, the number of independent variables observed is two or more than two variables. In this article, we specifically discuss multiple linear regression with two independent variables.
Difference Among Regression, Correlation, and Comparative Test
The ability to understand statistical analysis is increasingly important for us. Researchers, practitioners, and students often use statistical analysis to process research results. In economics, agribusiness, and social sciences, we often observe the relationship of variables associated with each other.