# For a business analyst running regression and multivariate models without a dedicated statistics background, does SPSS, SAS or Minitab actually make more sense?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">This exact three-way comes up for analysts who need serious modeling but don't come from a stats background, so I pulled reviews on how approachable each really is for regression and multivariate work.</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/ibm-spss-statistics/reviews"><strong>IBM SPSS Statistics</strong></a>: Reviewers say non-programmers can run regression and segmentation through menus and a newer AI Output Assistant that explains results in plain language. Best fit for the "no stats background" part, with the caveat of a dense interface.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/minitab-statistical-software/reviews"><strong>Minitab Statistical Software</strong></a>: Reviewers single out the guided Assistant that helps you choose and interpret the right test, which suits an analyst learning as they go, especially for regression and DOE.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/sas-sas-viya/reviews"><strong>SAS Viya</strong></a>: Reviewers describe it as powerful and multi-language (SAS, Python, R), but also resource-heavy with a complex setup, so it leans toward teams with more technical support than a lone analyst.</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">So the split reviewers imply is SPSS or Minitab for approachability, SAS when you have the infrastructure and scale. For your regression and multivariate work, did the guided interfaces get you all the way there, or did you eventually need the depth (and overhead) of SAS?</p>

##### Post Metadata
- Posted at: 9 days ago
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;&lt;span style=&quot;background-color: transparent; color: rgb(0, 0, 0);&quot;&gt;For a lone analyst without a stats background, the deciding feature isn&#39;t the modeling power; it&#39;s whether the tool helps you pick and interpret the right test, which is exactly where a guided assistant earns its place. SAS is the odd one out for this persona: powerful and multilingual, but its setup and infrastructure assume a team, not a single analyst learning as they go. Between the two approachable options, the choice is mostly which interpretation aid clicks for you, since both will run the regression fine.&lt;/span&gt;&lt;/p&gt;

##### Comment Metadata
- Posted at: 8 days ago
- Author title: Marketing





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