Dependent Variable: y Source DF Sum of Squares Mean Square F Value Pr > F Model 5 527.0000000 105.4000000 316.20 F x1 1 437.4000000 437.4000000

Dependent Variable: y Source DF Sum of Squares Mean Square F Value Pr > F Model 5 527.0000000 105.4000000 316.20 <.0001 error corrected total r-square coeff var root mse y mean source df type i ss square f value pr> F x1 1 437.4000000 437.4000000 1312.20 <.0001 x2 x3 x4 x5 source df type iii ss mean square f value pr> F x1 238.0500000 238.0500000 714.15 <.0001 x2 x3 x4 x5 parameter estimate error t value pr> It) Variety A intercept 127.500000 0.70710678 180.31 <.0001 variety a slope b intercept c standard parameter estimate error t value pr> It) Intercept 130.0000000 0.70710678 183.85 <.0001 x1 x2 x3 x4 x5 reg procedure model: model1 dependent variable: y number of observations read used analysis variance sum mean source df squares square f value pr> F Model 3 482.90000 160.96667 27.93 0.0001 Error 8 46. 10000 5.76250 Corrected Total 11 529.00000 Root MSE 2.40052 R-Square 0.9129 Dependent Mean 144.50000 Adj R-Sq 0.8802 Coeff Var 1.66126 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > It) Intercept 1 133.75000 1.96002 68.24 <.0001 x1 x2 x3 diagnostics for y o c rstudent residual predicted value leverage oc cook d quantile observation fit-mean observations parameters percent . error df mse r-square adj oo proportion less>