userTester

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d-glitch<br />
<br />
So, if I find that residual autocorrelation is at 0.55, I should find out why the residuals are so correlated? How do I do that?<br />
<br />
Isn't transformation for the purpose of finding the best fit?
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d-glitch

So, if I find that residual autocorrelation is at 0.55, I should find out why the residuals are so correlated? How do I do that?

Isn't transformation for the purpose of finding the best fit?

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<div class="content wysiwyg-content">
With Simple Linear Regression, is the goal to transform towards a near normal bell-shaped model?<br />
<br />
In other words, if I find some skewness, residual autocorrelation, outliers, and heteroskedasticity in residuals, should I apply techniques to transform the data towards the ideal?<br />
<br />

<ol type="1">
<li>Should the transformation be applied to the independent (X) variable only or both X and Y?</li>
<li>when should this be applied to residuals only?</li>
<li>should these techniques be applied early on to X and Y?</li>
</ol>
<br />
I applied the following:<br />

<ol type="1">
<li>log(10) to X and the histogram looks more normal than before.</li>
<li>&quot;residual shift&quot; technique which improved the autocorrelation substantially (autocorrelation now -0.045, Durbin-Watson now 2.09)</li>
<li>excluded data outside the &quot;InterQuartile Range (IQR)&quot; - not sure if this did much</li>
</ol>
<br />
Hope you can help!<br />
Thank you!
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</div>


With Simple Linear Regression, is the goal to transform towards a near normal bell-shaped model?

In other words, if I find some skewness, residual autocorrelation, outliers, and heteroskedasticity in residuals, should I apply techniques to transform the data towards the ideal?

Should the transformation be applied to the independent (X) variable only or both X and Y?
when should this be applied to residuals only?
should these techniques be applied early on to X and Y?


I applied the following:
log(10) to X and the histogram looks more normal than before.
"residual shift" technique which improved the autocorrelation substantially (autocorrelation now -0.045, Durbin-Watson now 2.09)
excluded data outside the "InterQuartile Range (IQR)" - not sure if this did much


Hope you can help!
Thank you!

Model towards Normal

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