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<blockquote data-quote="gentillar1" data-source="post: 2325456" data-attributes="member: 20466">least squares regressionI did a quick least squares regression on the wealth by level. It looks like a powers function with x^5 being the highest.Dependent Variable: Y&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Method: Least Squares&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Date: 06/13/05&nbsp;&nbsp; Time: 16:53&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Sample(adjusted): 2 20&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Included observations: 19 after adjusting endpoints&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Variable&nbsp; &nbsp; Coefficient&nbsp; &nbsp; Std. Error&nbsp; &nbsp; t-Statistic&nbsp; &nbsp; Prob.&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; X_5&nbsp; &nbsp; 1.067607&nbsp; &nbsp; 0.180215&nbsp; &nbsp; 5.924083&nbsp; &nbsp; 0.0001X_4&nbsp; &nbsp; -39.18063&nbsp; &nbsp; 9.946498&nbsp; &nbsp; -3.939138&nbsp; &nbsp; 0.0017X_3&nbsp; &nbsp; 633.6522&nbsp; &nbsp; 203.6772&nbsp; &nbsp; 3.111061&nbsp; &nbsp; 0.0083X_2&nbsp; &nbsp; -4388.632&nbsp; &nbsp; 1896.720&nbsp; &nbsp; -2.313800&nbsp; &nbsp; 0.0377X&nbsp; &nbsp; 15793.35&nbsp; &nbsp; 7815.995&nbsp; &nbsp; 2.020645&nbsp; &nbsp; 0.0644C&nbsp; &nbsp; -18415.63&nbsp; &nbsp; 10993.36&nbsp; &nbsp; -1.675160&nbsp; &nbsp; 0.1178&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; R-squared&nbsp; &nbsp; 0.999930&nbsp; &nbsp; &nbsp; &nbsp; Mean dependent var&nbsp; &nbsp; &nbsp; &nbsp; 166105.3Adjusted R-squared&nbsp; &nbsp; 0.999903&nbsp; &nbsp; &nbsp; &nbsp; S.D. dependent var&nbsp; &nbsp; &nbsp; &nbsp; 218371.0S.E. of regression&nbsp; &nbsp; 2152.316&nbsp; &nbsp; &nbsp; &nbsp; Akaike info criterion&nbsp; &nbsp; &nbsp; &nbsp; 18.43857Sum squared resid&nbsp; &nbsp; 60222008&nbsp; &nbsp; &nbsp; &nbsp; Schwarz criterion&nbsp; &nbsp; &nbsp; &nbsp; 18.73681Log likelihood&nbsp; &nbsp; -169.1664&nbsp; &nbsp; &nbsp; &nbsp; F-statistic&nbsp; &nbsp; &nbsp; &nbsp; 37055.28Durbin-Watson stat&nbsp; &nbsp; 1.827239&nbsp; &nbsp; &nbsp; &nbsp; Prob(F-statistic)&nbsp; &nbsp; &nbsp; &nbsp; 0.000000&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; I hope this helps. Paul</blockquote>

[QUOTE="gentillar1, post: 2325456, member: 20466"] [b]least squares regression[/b] I did a quick least squares regression on the wealth by level. It looks like a powers function with x^5 being the highest. Dependent Variable: Y Method: Least Squares Date: 06/13/05 Time: 16:53 Sample(adjusted): 2 20 Included observations: 19 after adjusting endpoints Variable Coefficient Std. Error t-Statistic Prob. X_5 1.067607 0.180215 5.924083 0.0001 X_4 -39.18063 9.946498 -3.939138 0.0017 X_3 633.6522 203.6772 3.111061 0.0083 X_2 -4388.632 1896.720 -2.313800 0.0377 X 15793.35 7815.995 2.020645 0.0644 C -18415.63 10993.36 -1.675160 0.1178 R-squared 0.999930 Mean dependent var 166105.3 Adjusted R-squared 0.999903 S.D. dependent var 218371.0 S.E. of regression 2152.316 Akaike info criterion 18.43857 Sum squared resid 60222008 Schwarz criterion 18.73681 Log likelihood -169.1664 F-statistic 37055.28 Durbin-Watson stat 1.827239 Prob(F-statistic) 0.000000 I hope this helps. Paul [/QUOTE]

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