I am a student studying forestry in the Netherlands. I was doing linear regressions, testing the third degree polynomial to come to an equation which I could use to predict the variable of interest. The general equation tested was, Y = B0 + B1*X + B2*X^2 + B3*X^3, where X = Dia. over bark at breast height. Regression was carried out between Diameter over bark at breast height as the independent variable and Annual increment (of conifers, as determined from the increment core sample) as the dependent variable. The regression was done using a programme called REGVIEW.EXE. This programme is designed to carry out regression by backward elimination, that is, the insignificant coefficients from the above equation are removed step by step and gives you the model that best suits your data. But it so happened in my case that the model it gave me was Y = B0. What can I interpret from this ? Can anyone guide me where I can find reports or literature where similar case has been cited ? P. W. Norbu e-mail Drukyul@itc.nl
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