Number of Observations
| Number of Observations Read | 51 |
|---|---|
| Number of Observations Used | 51 |
Results: l07.sas
The REG Procedure
Model: MODEL1
Dependent Variable: dollars
The Reg Procedure
MODEL1
Fit
dollars
Analysis of Variance
| Analysis of Variance | |||||
|---|---|---|---|---|---|
| Source | DF | Sum of Squares |
Mean Square |
F Value | Pr > F |
| Model | 1 | 68.04075 | 68.04075 | 125.10 | <.0001 |
| Error | 49 | 26.65089 | 0.54390 | ||
| Corrected Total | 50 | 94.69163 | |||
Fit Statistics
| Root MSE | 0.73749 | R-Square | 0.7186 |
|---|---|---|---|
| Dependent Mean | 5.17549 | Adj R-Sq | 0.7128 |
| Coeff Var | 14.24972 |
Parameter Estimates
| Parameter Estimates | |||||
|---|---|---|---|---|---|
| Variable | DF | Parameter Estimate |
Standard Error |
t Value | Pr > |t| |
| Intercept | 1 | -1.62426 | 0.61666 | -2.63 | 0.0113 |
| pay | 1 | 0.21976 | 0.01965 | 11.18 | <.0001 |
The REG Procedure
Model: MODEL1
Dependent Variable: dollars
Observation-wise Statistics
dollars
Diagnostic Plots
Fit Diagnostics
Residual Plots
pay
Fit Plot
The REG Procedure
Model: MODEL1
Dependent Variable: ycheck
The Reg Procedure
MODEL1
Fit
ycheck
Number of Observations
| Number of Observations Read | 51 |
|---|---|
| Number of Observations Used | 51 |
Analysis of Variance
No intercept in model. R-Square is redefined.
| Analysis of Variance | |||||
|---|---|---|---|---|---|
| Source | DF | Sum of Squares |
Mean Square |
F Value | Pr > F |
| Model | 2 | 0.83882 | 0.41941 | 1963.86 | <.0001 |
| Error | 49 | 0.01046 | 0.00021356 | ||
| Uncorrected Total | 51 | 0.84928 | |||
Fit Statistics
| Root MSE | 0.01461 | R-Square | 0.9877 |
|---|---|---|---|
| Dependent Mean | 0.10846 | Adj R-Sq | 0.9872 |
| Coeff Var | 13.47414 |
Parameter Estimates
| Parameter Estimates | |||||
|---|---|---|---|---|---|
| Variable | DF | Parameter Estimate |
Standard Error |
t Value | Pr > |t| |
| onecheck | 1 | -1.55783 | 0.46345 | -3.36 | 0.0015 |
| xcheck | 1 | 0.22501 | 0.01491 | 15.09 | <.0001 |
The REG Procedure
Model: MODEL1
Dependent Variable: dollars
The Reg Procedure
MODEL1
Fit
dollars
Number of Observations
| Number of Observations Read | 51 |
|---|---|
| Number of Observations Used | 51 |
Analysis of Variance
Weight: we
| Analysis of Variance | |||||
|---|---|---|---|---|---|
| Source | DF | Sum of Squares |
Mean Square |
F Value | Pr > F |
| Model | 1 | 0.04862 | 0.04862 | 227.65 | <.0001 |
| Error | 49 | 0.01046 | 0.00021356 | ||
| Corrected Total | 50 | 0.05908 | |||
Fit Statistics
| Root MSE | 0.01461 | R-Square | 0.8229 |
|---|---|---|---|
| Dependent Mean | 5.30954 | Adj R-Sq | 0.8193 |
| Coeff Var | 0.27524 |
Parameter Estimates
| Parameter Estimates | |||||
|---|---|---|---|---|---|
| Variable | DF | Parameter Estimate |
Standard Error |
t Value | Pr > |t| |
| Intercept | 1 | -1.55783 | 0.46345 | -3.36 | 0.0015 |
| pay | 1 | 0.22501 | 0.01491 | 15.09 | <.0001 |
The REG Procedure
Model: MODEL1
Dependent Variable: dollars
Observation-wise Statistics
dollars
Diagnostic Plots
Fit Diagnostics
Residual Plots
pay
Fit Plot
The TRANSREG Procedure
The Transreg Procedure
BoxCox(Volume)
Box Cox Plot
Dependent Variable BoxCox(Volume)
Number of Observations
| Number of Observations Read | 31 |
|---|---|
| Number of Observations Used | 31 |
The TRANSREG Procedure Hypothesis Tests for BoxCox(Volume)
ANOVA
| Univariate ANOVA Table Based on the Usual Degrees of Freedom | |||||
|---|---|---|---|---|---|
| Source | DF | Sum of Squares | Mean Square | F Value | Liberal p |
| The above statistics are not adjusted for the fact that the dependent variable was transformed and so are generally liberal. | |||||
| Model | 2 | 8.123226 | 4.061613 | 613.19 | >= <.0001 |
| Error | 28 | 0.185463 | 0.006624 | ||
| Corrected Total | 30 | 8.308690 | |||
| Root MSE | 0.08139 | R-Square | 0.9777 |
|---|---|---|---|
| Dependent Mean | 3.27273 | Adj R-Sq | 0.9761 |
| Coeff Var | 2.48679 | Lambda | 0.0000 |
Coefficients
| Univariate Regression Table Based on the Usual Degrees of Freedom | ||||||||
|---|---|---|---|---|---|---|---|---|
| Variable | DF | Coefficient | 95% Confidence Limits | Type II Sum of Squares |
Mean Square | F Value | Liberal p | |
| Intercept | 1 | -6.6316171 | -8.2699121 | -4.9933221 | 0.45539 | 0.45539 | 68.75 | >= <.0001 |
| Log(Girth) | 1 | 1.9826499 | 1.8289976 | 2.1363022 | 4.62750 | 4.62750 | 698.63 | >= <.0001 |
| Log(Height) | 1 | 1.1171233 | 0.6983530 | 1.5358937 | 0.19778 | 0.19778 | 29.86 | >= <.0001 |
The above statistics are not adjusted for the fact that the dependent variable was transformed and so are generally liberal.
The REG Procedure
Model: MODEL1
Dependent Variable: meaniq
The Reg Procedure
MODEL1
Fit
meaniq
Number of Observations
| Number of Observations Read | 10 |
|---|---|
| Number of Observations Used | 10 |
Analysis of Variance
| Analysis of Variance | |||||
|---|---|---|---|---|---|
| Source | DF | Sum of Squares |
Mean Square |
F Value | Pr > F |
| Model | 1 | 7.82560 | 7.82560 | 0.04 | 0.8427 |
| Error | 8 | 1489.17440 | 186.14680 | ||
| Corrected Total | 9 | 1497.00000 | |||
Fit Statistics
| Root MSE | 13.64356 | R-Square | 0.0052 |
|---|---|---|---|
| Dependent Mean | 101.00000 | Adj R-Sq | -0.1191 |
| Coeff Var | 13.50848 |
Parameter Estimates
| Parameter Estimates | |||||
|---|---|---|---|---|---|
| Variable | DF | Parameter Estimate |
Standard Error |
t Value | Pr > |t| |
| Intercept | 1 | 109.39165 | 41.15440 | 2.66 | 0.0289 |
| meanvol | 1 | -0.00745 | 0.03635 | -0.21 | 0.8427 |
The Mixed Procedure
The Mixed Procedure
Model Information
| Model Information | |
|---|---|
| Data Set | WORK.TWINBRAIN |
| Dependent Variable | FIQ |
| Covariance Structure | Variance Components |
| Estimation Method | REML |
| Residual Variance Method | Profile |
| Fixed Effects SE Method | Model-Based |
| Degrees of Freedom Method | Containment |
Class Level Information
| Class Level Information | ||
|---|---|---|
| Class | Levels | Values |
| PAIR | 10 | 1 2 3 4 5 6 7 8 9 10 |
Dimensions
| Dimensions | |
|---|---|
| Covariance Parameters | 2 |
| Columns in X | 2 |
| Columns in Z | 10 |
| Subjects | 1 |
| Max Obs per Subject | 20 |
Number of Observations
| Number of Observations | |
|---|---|
| Number of Observations Read | 20 |
| Number of Observations Used | 20 |
| Number of Observations Not Used | 0 |
Iteration History
| Iteration History | |||
|---|---|---|---|
| Iteration | Evaluations | -2 Res Log Like | Criterion |
| 0 | 1 | 160.49569850 | |
| 1 | 3 | 149.20356652 | 0.00002800 |
| 2 | 1 | 149.20189906 | 0.00000004 |
| 3 | 1 | 149.20189652 | 0.00000000 |
Convergence Status
| Convergence criteria met. |
Covariance Parameter Estimates
| Covariance Parameter Estimates | |
|---|---|
| Cov Parm | Estimate |
| PAIR | 161.90 |
| Residual | 33.4554 |
Fit Statistics
| Fit Statistics | |
|---|---|
| -2 Res Log Likelihood | 149.2 |
| AIC (Smaller is Better) | 153.2 |
| AICC (Smaller is Better) | 154.0 |
| BIC (Smaller is Better) | 153.8 |
Solution for Fixed Effects
| Solution for Fixed Effects | |||||
|---|---|---|---|---|---|
| Effect | Estimate | Standard Error |
DF | t Value | Pr > |t| |
| Intercept | 103.31 | 32.3610 | 9 | 3.19 | 0.0110 |
| TOTVOL | -0.00205 | 0.02849 | 9 | -0.07 | 0.9441 |
Type 3 Tests of Fixed Effects
| Type 3 Tests of Fixed Effects | ||||
|---|---|---|---|---|
| Effect | Num DF | Den DF | F Value | Pr > F |
| TOTVOL | 1 | 9 | 0.01 | 0.9441 |
The Mixed Procedure
The Mixed Procedure
Model Information
| Model Information | |
|---|---|
| Data Set | WORK.TWINBRAIN |
| Dependent Variable | FIQ |
| Covariance Structure | Variance Components |
| Estimation Method | ML |
| Residual Variance Method | Profile |
| Fixed Effects SE Method | Model-Based |
| Degrees of Freedom Method | Containment |
Class Level Information
| Class Level Information | ||
|---|---|---|
| Class | Levels | Values |
| PAIR | 10 | 1 2 3 4 5 6 7 8 9 10 |
Dimensions
| Dimensions | |
|---|---|
| Covariance Parameters | 2 |
| Columns in X | 2 |
| Columns in Z | 10 |
| Subjects | 1 |
| Max Obs per Subject | 20 |
Number of Observations
| Number of Observations | |
|---|---|
| Number of Observations Read | 20 |
| Number of Observations Used | 20 |
| Number of Observations Not Used | 0 |
Iteration History
| Iteration History | |||
|---|---|---|---|
| Iteration | Evaluations | -2 Log Like | Criterion |
| 0 | 1 | 158.89265331 | |
| 1 | 2 | 148.48602433 | 0.00000000 |
Convergence Status
| Convergence criteria met. |
Covariance Parameter Estimates
| Covariance Parameter Estimates | |
|---|---|
| Cov Parm | Estimate |
| PAIR | 133.12 |
| Residual | 32.2676 |
Fit Statistics
| Fit Statistics | |
|---|---|
| -2 Log Likelihood | 148.5 |
| AIC (Smaller is Better) | 156.5 |
| AICC (Smaller is Better) | 159.2 |
| BIC (Smaller is Better) | 157.7 |
Solution for Fixed Effects
| Solution for Fixed Effects | |||||
|---|---|---|---|---|---|
| Effect | Estimate | Standard Error |
DF | t Value | Pr > |t| |
| Intercept | 103.86 | 30.3059 | 9 | 3.43 | 0.0075 |
| TOTVOL | -0.00254 | 0.02670 | 9 | -0.10 | 0.9263 |
Type 3 Tests of Fixed Effects
| Type 3 Tests of Fixed Effects | ||||
|---|---|---|---|---|
| Effect | Num DF | Den DF | F Value | Pr > F |
| TOTVOL | 1 | 9 | 0.01 | 0.9263 |
The Mixed Procedure
The Mixed Procedure
Model Information
| Model Information | |
|---|---|
| Data Set | WORK.DAUGHTERS |
| Dependent Variable | height |
| Covariance Structure | Variance Components |
| Estimation Method | REML |
| Residual Variance Method | Profile |
| Fixed Effects SE Method | Model-Based |
| Degrees of Freedom Method | Containment |
Class Level Information
| Class Level Information | ||
|---|---|---|
| Class | Levels | Values |
| family | 168 | "1" "10" "102" "103" "104" "105" "106" "107" "108" "109" "11" "110" "112" "114" "115" "116" "117" "119" "12" "121" "122" "123" "124" "125" "126" "128" "129" "130" "132" "133" "134" "135" "136" "136A" "137" "138" "139" "140" "141" "142" "144" "145" "146" "149" "15" "151" "153" "155" "156" "158" "159" "16" "162" "163" "164" "165" "166" "168" "169" "17" "170" "172" "173" "174" "175" "176" "177" "179" "18" "180" "181" "183" "185" "186" "187" "188" "19" "190" "191" "192" "193" "194" "195" "196" "197" "198" "199" "2" "20" "201" "203" "204" "21" "22" "23" "24" "25" "26" "27" "28" "29" "3" "30" "31" "32" "33" "34" "35" "36" "37" "38" "39" "4" "40" "42" "43" "45" "46" "47" "49" "5" "51" "52" "53" "54" "55" "56" "57" "58" "59" "6" "61" "62" "64" "65" "66" "68" "69" "7" "70" "71" "72" "73" "75" "76" "77" "78" "79" "8" "80" "81" "82" "83" "85" "86" "87" "88" "89" "9" "90" "91" "93" "94" "95" "96" "97" "98" "99" |
Dimensions
| Dimensions | |
|---|---|
| Covariance Parameters | 2 |
| Columns in X | 3 |
| Columns in Z | 168 |
| Subjects | 1 |
| Max Obs per Subject | 433 |
Number of Observations
| Number of Observations | |
|---|---|
| Number of Observations Read | 433 |
| Number of Observations Used | 433 |
| Number of Observations Not Used | 0 |
Iteration History
| Iteration History | |||
|---|---|---|---|
| Iteration | Evaluations | -2 Res Log Like | Criterion |
| 0 | 1 | 1834.41192300 | |
| 1 | 3 | 1813.52567676 | 0.00000173 |
| 2 | 1 | 1813.52478470 | 0.00000000 |
Convergence Status
| Convergence criteria met. |
Covariance Parameter Estimates
| Covariance Parameter Estimates | |
|---|---|
| Cov Parm | Estimate |
| family | 0.8420 |
| Residual | 3.1248 |
Fit Statistics
| Fit Statistics | |
|---|---|
| -2 Res Log Likelihood | 1813.5 |
| AIC (Smaller is Better) | 1817.5 |
| AICC (Smaller is Better) | 1817.6 |
| BIC (Smaller is Better) | 1823.8 |
Solution for Fixed Effects
| Solution for Fixed Effects | |||||
|---|---|---|---|---|---|
| Effect | Estimate | Standard Error |
DF | t Value | Pr > |t| |
| Intercept | 17.2283 | 4.3757 | 165 | 3.94 | 0.0001 |
| mother | 0.3045 | 0.05113 | 265 | 5.96 | <.0001 |
| father | 0.3945 | 0.04352 | 265 | 9.07 | <.0001 |
Type 3 Tests of Fixed Effects
| Type 3 Tests of Fixed Effects | ||||
|---|---|---|---|---|
| Effect | Num DF | Den DF | F Value | Pr > F |
| mother | 1 | 265 | 35.48 | <.0001 |
| father | 1 | 265 | 82.19 | <.0001 |