Results: bmi1.sas

BMI and Health: Read data and analyze ignoring measurement error

The MEANS Procedure

The MEANS Procedure

Summary statistics

Variable N Mean Std Dev Minimum Maximum
age1
bmi1
fat1
cholest1
diastol1
age2
bmi2
fat2
cholest2
diastol2
age
bmi
fat
cholest
diastol
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
44.1300000
25.4786000
19.4780000
263.8172000
88.5940000
45.5820000
25.6574000
19.4778000
265.3700000
89.3420000
44.8560000
25.5680000
19.4779000
264.5936000
88.9680000
12.9561114
4.6790543
7.7567319
55.7074960
18.0461767
12.4130352
3.7869522
7.4274451
56.7716240
13.2834459
12.4336824
3.9567218
7.1693749
55.0124311
13.7890628
3.0000000
12.8000000
0
113.4000000
16.0000000
6.0000000
14.3000000
0
106.0000000
52.0000000
4.5000000
13.9000000
0
118.6500000
39.5000000
80.0000000
39.4000000
44.6000000
440.3000000
146.0000000
78.0000000
37.1000000
45.8000000
445.6000000
131.0000000
79.0000000
37.2000000
44.8500000
442.9500000
132.5000000

BMI and Health: Read data and analyze ignoring measurement error

Regression on average measurements

The REG Procedure

Model: MODEL1

Dependent Variable: cholest

The REG Procedure

MODEL1

Fit

cholest

Number of Observations

Number of Observations Read 500
Number of Observations Used 500

Analysis of Variance

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 3 146506 48835 17.76 <.0001
Error 496 1363651 2749.29688    
Corrected Total 499 1510157      

Fit Statistics

Root MSE 52.43374 R-Square 0.0970
Dependent Mean 264.59360 Adj R-Sq 0.0916
Coeff Var 19.81671    

Parameter Estimates

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t|
Intercept 1 220.06103 21.01086 10.47 <.0001
age 1 -0.27139 0.20017 -1.36 0.1758
bmi 1 0.51641 1.01541 0.51 0.6113
fat 1 2.23342 0.57920 3.86 0.0001

BMI and Health: Read data and analyze ignoring measurement error

Regression on average measurements

The REG Procedure

Model: MODEL1

Dependent Variable: diastol

diastol

Number of Observations

Number of Observations Read 500
Number of Observations Used 500

Analysis of Variance

Analysis of Variance
Source DF Sum of
Squares		 Mean
Square		 F Value Pr > F
Model 3 31627 10542 82.67 <.0001
Error 496 63252 127.52449    
Corrected Total 499 94879      

Fit Statistics

Root MSE 11.29267 R-Square 0.3333
Dependent Mean 88.96800 Adj R-Sq 0.3293
Coeff Var 12.69296    

Parameter Estimates

Parameter Estimates
Variable DF Parameter
Estimate		 Standard
Error		 t Value Pr > |t|
Intercept 1 49.69194 4.52512 10.98 <.0001
age 1 0.12648 0.04311 2.93 0.0035
bmi 1 0.82627 0.21869 3.78 0.0002
fat 1 0.64056 0.12474 5.14 <.0001

BMI and Health: Read data and analyze ignoring measurement error

Regression on average measurements

The REG Procedure

Model: MODEL1

Multivariate Test: BMI

Multivariate Test BMI

Multivariate Statistics

Multivariate Statistics and Exact F Statistics
S=1 M=0 N=246.5
Statistic Value F Value Num DF Den DF Pr > F
Wilks' Lambda 0.97130971 7.31 2 495 0.0007
Pillai's Trace 0.02869029 7.31 2 495 0.0007
Hotelling-Lawley Trace 0.02953773 7.31 2 495 0.0007
Roy's Greatest Root 0.02953773 7.31 2 495 0.0007