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      <text>43.1.5.1 Regression Curves</text>
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      <text><![CDATA[<h3>Regression Curves</h3>

The Section should be regarded as introductory only. The reason for including non-linear regression is to demonstrate how the method of least squares can be extended to deal with cases where the relationship between variables is, for example, quadratic or exponential.<p><br></p><p>A regression curve is defined to be the curve passing through the expected value of \(Y\) for a set of
given values of \(x\). The idea is illustrated by the following diagram.</p><p><br></p><p><img src="@@PLUGINFILE@@/43-Fig-6-non-linear-regression.svg" alt="" width="575" height="277" role="presentation" class="img-responsive atto_image_button_text-bottom"><br></p><p><br></p><p>We will look at the quadratic and exponential cases in a little detail..<br></p>]]></text>
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