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<p>[QUOTE="Roerbakmix, post: 3841702, member: 100731"]Thanks [USER=82322]@Ed Snible[/USER] for other synonyms.</p><p><br /></p><p>For case study one (JC denarius elephant), I've added "Toning" (mentioned yes/no), "luster" (mentioned yes/no) and center (not mentioned=0, off-center=1, well-centered=2) to the model. Furthermore, I will use R now for the next calculations.</p><p><br /></p><p>This did not really do anything: backwards selection (ie data driven predictor selection) still selects the estimate as the only (highly) significant predictor (R-squared: 0.417). Still, the prediction is not completely rubbish (the red line is a modeled relation between the actual and predicted price, using LOESS. Ideally, the line would be 45 degrees, i.e. the dotted grey line, indicating perfect prediction)</p><p>[ATTACH=full]1019579[/ATTACH]</p><p>Suppose we create a multivariate model including all parameters, but excluding estimated price, this graph would look like this:[ATTACH=full]1019578[/ATTACH][/QUOTE]</p><p><br /></p>
[QUOTE="Roerbakmix, post: 3841702, member: 100731"]Thanks [USER=82322]@Ed Snible[/USER] for other synonyms. For case study one (JC denarius elephant), I've added "Toning" (mentioned yes/no), "luster" (mentioned yes/no) and center (not mentioned=0, off-center=1, well-centered=2) to the model. Furthermore, I will use R now for the next calculations. This did not really do anything: backwards selection (ie data driven predictor selection) still selects the estimate as the only (highly) significant predictor (R-squared: 0.417). Still, the prediction is not completely rubbish (the red line is a modeled relation between the actual and predicted price, using LOESS. Ideally, the line would be 45 degrees, i.e. the dotted grey line, indicating perfect prediction) [ATTACH=full]1019579[/ATTACH] Suppose we create a multivariate model including all parameters, but excluding estimated price, this graph would look like this:[ATTACH=full]1019578[/ATTACH][/QUOTE]
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