RPD -- Example 12.2 -- Poisson Variance Stabilization (Simulation) The REG Procedure Model: MODEL1 Dependent Variable: y Number of Observations Read 581 Number of Observations Used 581 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 39480 39480 2243.11 <.0001 Error 579 10191 17.60033 Corrected Total 580 49670 Root MSE 4.19527 R-Square 0.7948 Dependent Mean 15.21515 Adj R-Sq 0.7945 Coeff Var 27.57302 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 -0.02098 0.36576 -0.06 0.9543 x 1 0.98298 0.02075 47.36 <.0001 RPD -- Example 12.2 -- Poisson Variance Stabilization (Simulation) The REG Procedure Model: MODEL1 Dependent Variable: sqrty Number of Observations Read 581 Number of Observations Used 581 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 829.76150 829.76150 2299.56 <.0001 Error 579 208.92336 0.36083 Corrected Total 580 1038.68486 Root MSE 0.60070 R-Square 0.7989 Dependent Mean 3.66434 Adj R-Sq 0.7985 Coeff Var 16.39300 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 1.45549 0.05237 27.79 <.0001 x 1 0.14251 0.00297 47.95 <.0001 RPD -- Example 12.2 -- Poisson Variance Stabilization (Simulation) The REG Procedure Model: MODEL1 Dependent Variable: sqrty Number of Observations Read 581 Number of Observations Used 581 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 864.65498 864.65498 2876.72 <.0001 Error 579 174.02988 0.30057 Corrected Total 580 1038.68486 Root MSE 0.54824 R-Square 0.8325 Dependent Mean 3.66434 Adj R-Sq 0.8322 Coeff Var 14.96156 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 -0.19037 0.07538 -2.53 0.0118 sqrtx 1 1.02696 0.01915 53.64 <.0001