Intermediate result variables reflect intermediate outcomes in data analysis, helping researchers understand how variables may be related and explain the observations.
Intermediate result variables reflect intermediate outcomes in data analysis. When analyzing and interpreting data, scientists gather raw data and use statistics to make sense of it. These intermediate result variables can be seen in tables, graphs, and observations about the experiment. They help researchers understand how variables may be related and explain the observations.