The Essentials of Biostatistics for Physicians, Nurses, and Clinicians

116 CHAPTER 7 Correlation, Regression, and Logistic Regression

Model: MODEL3 (using votes for Nader and Bush plus an interac-

tion term Nader * Bush to predict votes for Buchanan)

Dependent Variable: BUCHANAN

Analysis of Variance

Source df Sum of
Squares

Prob
Mean Square F - Value > F
Model 3 2811645.8041 937215.26803 124.439 0.0001
Error 62 466953.05955 7531.50096
Total 65 3278598.8636
Root
MSE

86.78422 R^2 0.8576

Dep
Mean

211.04545 Adj R 2 0.8507

C.V. 41.12110

Variable df Parameter
Standard T for H 0 :
Estimate Error Parameter
= 0

Prob

> | T |

INTERCEP 1 36.353406 16.7731503 2.261 0.0273

NADER 1 0.098017 0.01512781 6.479 0.0001

BUSH 1 0.001798 0.00046703 3.850 0.0003

NBINTER 1 − 0.000000232 0.000000009 − 2.677 0.0095

Parameter Estimates

Variable df Parameter Standard T for H 0 :

Estimate Error Parameter

= 0

Prob

> | T |

INTERCEP 1 60.155214 14.03642389 4.286 0.0001

NADER 1 0.072387 0.01227393 5.898 0.0001

BUSH 1 0.001220 0.00043382 2.812 0.0066

Parameter Estimates

Dep

Mean

211.04545 Adj R^2 0.8361

C.V. 43.08725