MOVREG <data> / K.Vehkalahti 1994,1998 performs moving linear regression analysis by orthogonalization (based on singular value decomposition). The model is specified by activating variables with Y and X's. The constant term is omitted by setting CONSTANT=0. The span length must be specified by SPAN=<#obs>. The following masks for output variables may be used: R: residuals, P: predicted values, r: squared multiple correlations (R^2) V: residual variances B: regression coefficients S: standard errors of the regression coefficients T: t-values (regr.coeffs/stderrs) The number of B's, S's and T's must be the same as the number of the parameters in the model (the X-variables and the constant). R = More information on regression analysis

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