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From | Prabhat <prabhat.barnwal@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | st: problem with squared term |
Date | Sun, 21 Mar 2010 02:42:19 +0900 |
Dear all, I have come across a strange problem. I am trying to estimate the coefficients for temperature and rainfall using WLS, where my dependent variable is rice yield. Now, when I am including the square term for the average temperature, I am getting a very high and impossible estimate for the temperature variable. It should be somewhere between 100-300, but after including square term I am getting -3500. I have just included OLS results here. Any comment will be appreciated. Regards, Prabhat Barnwal International University of Japan > . regress kyrice kavgtemp kavgtempsq ktotppt ktotpptsq ksdtemp Source | SS df MS Number of obs = 735 -------------+------------------------------ F( 5, 729) = 13.16 Model | 21551254.8 5 4310250.95 Prob > F = 0.0000 Residual | 238840813 729 327628.001 R-squared = 0.0828 -------------+------------------------------ Adj R-squared = 0.0765 Total | 260392067 734 354757.585 Root MSE = 572.39 ------------------------------------------------------------------------------ kyrice | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- kavgtemp | -3591.648 855.2294 -4.20 0.000 -5270.655 -1912.642 kavgtempsq | 67.01803 15.34115 4.37 0.000 36.89993 97.13613 ktotppt | 1.053627 .5836936 1.81 0.071 -.0922936 2.199548 ktotpptsq | -.0005872 .0003753 -1.56 0.118 -.001324 .0001496 ksdtemp | -196.4774 56.57082 -3.47 0.001 -307.5386 -85.41624 _cons | 49759.5 11888.92 4.19 0.000 26418.9 73100.1 ------------------------------------------------------------------------------ -> . regress kyrice kavgtemp ktotppt ktotpptsq ksdtemp Source | SS df MS Number of obs = 735 -------------+------------------------------ F( 4, 730) = 11.39 Model | 15298828.3 4 3824707.07 Prob > F = 0.0000 Residual | 245093239 730 335744.163 R-squared = 0.0588 -------------+------------------------------ Adj R-squared = 0.0536 Total | 260392067 734 354757.585 Root MSE = 579.43 ------------------------------------------------------------------------------ kyrice | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- kavgtemp | 143.2145 22.12018 6.47 0.000 99.78776 186.6413 ktotppt | .9560253 .5904461 1.62 0.106 -.2031498 2.1152 ktotpptsq | -.00057 .0003799 -1.50 0.134 -.0013158 .0001758 ksdtemp | -213.2879 57.13459 -3.73 0.000 -325.4556 -101.1202 _cons | -2107.959 622.1736 -3.39 0.001 -3329.422 -886.4957 * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/