As a non-statistician, I’m venturing into unfamiliar territory. I’m working on a project to analyze efficiency, and I want to make sure I’m using the right tools for the job. Specifically, I’m looking at the relationship between the number of staff providing services in different provinces and the number of services provided. My plan is to use regression analysis to examine this relationship, with the number of staff as the x variable and the number of services as the y variable.
My goal is to express the results using R squared and a line plot. But before I dive in, I wanted to get some feedback from people who know more about statistics than I do.
## Is This the Right Approach?
I’ve noticed a lot of variation in the number of services provided compared to the number of staff in different provinces. Regression analysis seems like a good way to tease out the relationship between these two variables. But I’m not sure if this is the best approach.
I’d love to hear from experts in the field: am I on the right track? Are there any other methods I should consider? Any feedback or suggestions would be greatly appreciated.
## Why Regression Analysis?
Regression analysis can help me understand the strength and direction of the relationship between the number of staff and the number of services provided. By using R squared, I can get a sense of how well the model explains the variation in the data. And by plotting the data, I can visualize the relationship and identify any outliers or trends.
## What Do You Think?
If you’re a statistics expert, I’d love to hear your thoughts. Am I using regression analysis correctly? Are there any other methods I should consider? Let me know in the comments below.