Month: June 2023
If the regression coefficient is negative and significant, how should it be interpreted?
In some research findings, it is possible to observe negative and significant values for the estimated regression coefficient. Under such circumstances, how should this be interpreted? This is a question that often arises among researchers when they encounter results that indicate a negative coefficient estimate that is statistically significant.
How to Transform Natural Logarithm (Ln) in Cobb Douglas Regression Analysis using Excel
In production theory, the production function is defined as the technical relationship between inputs and outputs, where the output is a function of the inputs. The production function allows us to understand how input variables can explain the output variable. Inputs in the production process include capital, labor, and other production input variables.
How to Analyze Pearson Correlation Using Excel
Correlation analysis is one of the analytical techniques used to test the associative relationship between variables. In correlation analysis, testing can be conducted to answer whether the relationship between variables is significant and how strong and the sign of the relationship between the variables.
How to Differentiate between Nominal, Ordinal, Interval, and Ratio Data Measurement Scales in Research
In statistics, data measurement scales can be divided into four types: nominal, ordinal, interval, and ratio scales. Understanding the differences among these four measurement scales is crucial for researchers to grasp. This is because the choice of data analysis in research is heavily influenced by the measurement scale of the variables, whether they are nominal, ordinal, interval, or ratio scales.