# Standardized coefficients
## Overview
If you need to compare the significance of each independent variable well- you can use R to determine the standardized beta coefficients.
> "Use of the beta coefficient allows direct comparisons between independent variables to determine which has the most influence on the dependent variable." (Monash Business School, n.d.)
## Example
See this [exact source code](https://github.com/darrensapalo/laptop-prices-dataset/blob/main/regression-analysis.R#L29) given the step-by-step [walk-through video](/resources/shared-notes/statistics/regression-analysis/multiple-linear-regression.md).
## Result
Below you can see the coefficients (marked in red) of the statistically significant independent variables (marked in orange).
After performing the calculations for the beta coefficients, you can see that the values are different for each of the individual variables.
## References
* Monash Business School on [Beta coefficients](https://www.monash.edu/business/marketing/marketing-dictionary/b/beta-coefficient#:~:text=in%20statistical%20analysis%2C%20an%20estimated,influence%20on%20the%20dependent%20variable.)
---
# Agent Instructions: Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter:
```
GET https://www.hultedtech.club/resources/shared-notes/statistics/regression-analysis/standardized-coefficients.md?ask=
```
The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.