# Sensitivity analysis

**URL:** <https://openturns.discourse.group/t/sensitivity-analysis/91>\
**Category:** Methodology\
**Created:** [February 5, 2021, 12:15pm UTC](https://openturns.discourse.group/t/sensitivity-analysis/91 "2021-02-05T12:15:35Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![MichaelBaudin](https://yyz2.discourse-cdn.com/free1/user_avatar/openturns.discourse.group/michaelbaudin/32/9_2.png) [@MichaelBaudin](https://openturns.discourse.group/u/MichaelBaudin)\
**Post date:** [February 5, 2021, 12:15pm UTC](https://openturns.discourse.group/t/sensitivity-analysis/91/1 "2021-02-05T12:15:35Z")

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Hi !

This is just a message to share two pointers towards discussions on sensitivity analysis.

I have asked a question about the use of SRC versus Pearson correlation at Stackexchange that might be interested for those who use linear regression for sensitivity analysis:

> <https://stats.stackexchange.com/questions/508097/standardized-regression-coefficient-vs-pearsons-correlation-coefficient>

There was an interesting question on UQWorld about Sobol’ indices:

> **[Total Sobol indices sum to more than 1](https://uqworld.org/t/total-sobol-indices-sum-to-more-than-1/915)**
>
> Hello UQlab community. I have been carrying out sobol analysis for global sensitivity analysis of a simple analytical model. My understanding is the total sobol indices should sum to one and represent the contribution of the input parameter’s...

The thing is that the sum of the _estimate_ of first order Sobol’ indices has 50% chance of being larger than 1 for a linear model, a result which might be surprising at first.

Regards,

Michaël