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      <description>Writing on data analytics, Alteryx, AI and the career around them, from ten years leading analytics in airline operations.</description>
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      <managingEditor>racine.isacar@gmail.com (Isacar Racine)</managingEditor>
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    <guid>https://data-awesome.com/blog/regression-trap-index</guid>
    <title>15 Ways to Misread Your Own Regression Model</title>
    <link>https://data-awesome.com/blog/regression-trap-index</link>
    <description>Fifteen ways regression output gets misread, with the symptom, what it actually means, and how to check. Every one came from a real model.</description>
    <pubDate>Mon, 27 Apr 2026 00:00:00 GMT</pubDate>
    <author>racine.isacar@gmail.com (Isacar Racine)</author>
    <category>regression</category><category>statistics</category><category>model-diagnostics</category>
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    <guid>https://data-awesome.com/blog/regression-coefficient-sign-flip</guid>
    <title>The Coefficient That Flipped Sign</title>
    <link>https://data-awesome.com/blog/regression-coefficient-sign-flip</link>
    <description>Alone it reads -0.0054. With seven other predictors, +0.0154. Both significant. Why hunting for the guilty variable is the wrong instinct.</description>
    <pubDate>Mon, 20 Apr 2026 00:00:00 GMT</pubDate>
    <author>racine.isacar@gmail.com (Isacar Racine)</author>
    <category>regression</category><category>statistics</category><category>model-diagnostics</category>
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    <guid>https://data-awesome.com/blog/regression-coefficient-not-causal</guid>
    <title>Regression Coefficients Are Not Causal</title>
    <link>https://data-awesome.com/blog/regression-coefficient-not-causal</link>
    <description>The smoker coefficient is $24,330. That does not mean quitting saves anyone $24,330, and no amount of significance will make it mean that.</description>
    <pubDate>Mon, 13 Apr 2026 00:00:00 GMT</pubDate>
    <author>racine.isacar@gmail.com (Isacar Racine)</author>
    <category>regression</category><category>statistics</category><category>model-diagnostics</category>
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    <guid>https://data-awesome.com/blog/variable-selection-regularization</guid>
    <title>Variable Selection, Ridge, Lasso, Elastic Net</title>
    <link>https://data-awesome.com/blog/variable-selection-regularization</link>
    <description>Ridge, lasso and elastic net returned identical test error, to the last digit. The reason is a mistake hiding in a workflow you have copied.</description>
    <pubDate>Mon, 06 Apr 2026 00:00:00 GMT</pubDate>
    <author>racine.isacar@gmail.com (Isacar Racine)</author>
    <category>regression</category><category>machine-learning</category><category>statistics</category><category>r</category>
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    <guid>https://data-awesome.com/blog/logistic-regression-reading-output</guid>
    <title>How to Read Logistic Regression Output</title>
    <link>https://data-awesome.com/blog/logistic-regression-reading-output</link>
    <description>Your model says 1.60. That cannot be a probability. Four things that go wrong reading logistic output, and none of them throw an error.</description>
    <pubDate>Mon, 30 Mar 2026 00:00:00 GMT</pubDate>
    <author>racine.isacar@gmail.com (Isacar Racine)</author>
    <category>regression</category><category>statistics</category><category>r</category>
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    <guid>https://data-awesome.com/blog/regression-diagnostics-outliers-multicollinearity</guid>
    <title>The R-Squared Trap: When Cleaning Backfires</title>
    <link>https://data-awesome.com/blog/regression-diagnostics-outliers-multicollinearity</link>
    <description>I removed 53 outliers. R-squared rose from 0.818 to 0.856 and the model got worse. Every number that improved ignored the rows I deleted.</description>
    <pubDate>Mon, 23 Mar 2026 00:00:00 GMT</pubDate>
    <author>racine.isacar@gmail.com (Isacar Racine)</author>
    <category>regression</category><category>model-diagnostics</category><category>statistics</category><category>r</category>
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    <guid>https://data-awesome.com/blog/multiple-regression-interpreting-coefficients</guid>
    <title>How to Read a Regression Coefficient</title>
    <link>https://data-awesome.com/blog/multiple-regression-interpreting-coefficients</link>
    <description>Your slide says $368. A colleague who ran the same data says $422. Four ways a regression coefficient means less than it appears to.</description>
    <pubDate>Mon, 16 Mar 2026 00:00:00 GMT</pubDate>
    <author>racine.isacar@gmail.com (Isacar Racine)</author>
    <category>regression</category><category>statistics</category><category>r</category>
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    <guid>https://data-awesome.com/blog/simple-linear-regression-assumptions</guid>
    <title>Why Care About Regression Assumptions?</title>
    <link>https://data-awesome.com/blog/simple-linear-regression-assumptions</link>
    <description>One broken assumption ruins your coefficients; the other three only ruin your p-values. Knowing which decides whether you scrap the model.</description>
    <pubDate>Mon, 09 Mar 2026 00:00:00 GMT</pubDate>
    <author>racine.isacar@gmail.com (Isacar Racine)</author>
    <category>regression</category><category>statistics</category><category>model-diagnostics</category>
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    <guid>https://data-awesome.com/blog/linear-regression-explained-simply</guid>
    <title>What &quot;We Ran a Regression&quot; Actually Means</title>
    <link>https://data-awesome.com/blog/linear-regression-explained-simply</link>
    <description>Everyone nods when it comes up in a meeting. What a coefficient actually is, how to read the output, and why the obvious answer was wrong.</description>
    <pubDate>Mon, 02 Mar 2026 00:00:00 GMT</pubDate>
    <author>racine.isacar@gmail.com (Isacar Racine)</author>
    <category>regression</category><category>statistics</category><category>analytics</category>
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