Statistics Globe<p>Ensuring homogeneity of variance (homoscedasticity) is often considered a key assumption in linear regression. But is it really that important? 🤔</p><p>The plot below visually demonstrates how heteroscedasticity can manifest in residuals. Ideally, the reference line (in green) should remain flat and horizontal, indicating homogeneity of variance.</p><p>Learn more: <a href="http://eepurl.com/gH6myT" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="">eepurl.com/gH6myT</span><span class="invisible"></span></a></p><p><a href="https://mastodon.social/tags/rprogramminglanguage" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rprogramminglanguage</span></a> <a href="https://mastodon.social/tags/advancedanalytics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>advancedanalytics</span></a> <a href="https://mastodon.social/tags/package" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>package</span></a></p>