Results: l02.sas

The REG Procedure

Model: MODEL1

Dependent Variable: height

The Reg Procedure

MODEL1

Fit

height

Number of Observations

Number of Observations Read 168
Number of Observations Used 168

Analysis of Variance

Analysis of Variance
Source DF Sum of
Squares
Mean
Square
F Value Pr > F
Model 1 113.76561 113.76561 23.95 <.0001
Error 166 788.36147 4.74917    
Corrected Total 167 902.12708      

Fit Statistics

Root MSE 2.17926 R-Square 0.1261
Dependent Mean 65.10417 Adj R-Sq 0.1208
Coeff Var 3.34734    

Parameter Estimates

Parameter Estimates
Variable DF Parameter
Estimate
Standard
Error
t Value Pr > |t| 95% Confidence Limits
Intercept 1 42.24854 4.67281 9.04 <.0001 33.02275 51.47433
mother 1 0.35651 0.07284 4.89 <.0001 0.21269 0.50032

The REG Procedure

Model: MODEL1

Dependent Variable: height

The Reg Procedure

MODEL1

Fit

height

Number of Observations

Number of Observations Read 169
Number of Observations Used 168
Number of Observations with Missing Values 1

Analysis of Variance

Analysis of Variance
Source DF Sum of
Squares
Mean
Square
F Value Pr > F
Model 1 113.76561 113.76561 23.95 <.0001
Error 166 788.36147 4.74917    
Corrected Total 167 902.12708      

Fit Statistics

Root MSE 2.17926 R-Square 0.1261
Dependent Mean 65.10417 Adj R-Sq 0.1208
Coeff Var 3.34734    

Parameter Estimates

Parameter Estimates
Variable DF Parameter
Estimate
Standard
Error
t Value Pr > |t|
Intercept 1 42.24854 4.67281 9.04 <.0001
mother 1 0.35651 0.07284 4.89 <.0001

The REG Procedure

Model: MODEL1

Dependent Variable: height

Observation-wise Statistics

height

Diagnostic Plots

Fit Diagnostics

Panel of fit diagnostics for height.

Residual Plots

mother

Scatter plot of residuals by mother for height.

Fit Plot

Scatterplot of height by mother overlaid with the fit line, a 95% confidence band and lower and upper 95% prediction limits.

The Print Procedure

Data Set WORK.PREDICTED

Obs father mother height mypred l u
1 . 60 . 63.6389 62.9610 64.3168

The REG Procedure

Model: MODEL1

Dependent Variable: height

The Reg Procedure

MODEL1

Fit

height

Number of Observations

Number of Observations Read 168
Number of Observations Used 168

Analysis of Variance

Note:No intercept in model. R-Square is redefined.

Analysis of Variance
Source DF Sum of
Squares
Mean
Square
F Value Pr > F
Model 1 711802 711802 101030 <.0001
Error 167 1176.58810 7.04544    
Uncorrected Total 168 712979      

Fit Statistics

Root MSE 2.65432 R-Square 0.9983
Dependent Mean 65.10417 Adj R-Sq 0.9983
Coeff Var 4.07704    

Parameter Estimates

Parameter Estimates
Variable DF Parameter
Estimate
Standard
Error
t Value Pr > |t|
mother 1 1.01465 0.00319 317.85 <.0001