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Biostatistics

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A-144 ANSWERS TO ODD-NUMBERED EXERCISES<br />

19.<br />

v1 v2 v3 v4 v5 v6 v7 v8<br />

v1 1<br />

v2 .123 1<br />

v3 .115 .963( ) 1<br />

v4 .417( ) .063 .041 1<br />

v5 .005 .102 .103 .059 1<br />

v6 .001 .270( ) .295( ) .036 .137 1<br />

v7 .113 .074 .076 .052 .134 .061 1<br />

v8 .077 .002 .023 .146 .165 .202 .032 1<br />

Correlation is significant at the 0.01 level (2-tailed).<br />

Chapter 11<br />

11.2.1. mobilizer: 0 G-CSF, 1-Etoposide<br />

The regression equation is<br />

conc = 12.9 - 0.0757 age - 5.48 mobilizer<br />

Predictor Coef SE Coef T P<br />

Constant 12.933 2.787 4.64 0.000<br />

age -0.07566 0.04388 -1.72 0.092<br />

mobilize -5.480 1.429 -3.83 0.000<br />

S = 3.965 R-Sq = 27.1% R-Sq(adj) = 23.6%<br />

Analysis of Variance<br />

Source DF SS MS F P<br />

Regression 2 240.02 120.01 7.63 0.002<br />

Residual Error 41 644.60 15.72<br />

Total 43 884.62<br />

11.2.3.<br />

The regression equation is<br />

QTc = 23.0 + 39.4 sex + 0.825 dose<br />

Predictor Coef SE Coef T P<br />

Constant 22.98 46.92 0.49 0.632<br />

sex 39.40 42.14 0.93 0.366<br />

dose 0.82456 0.07556 10.91 0.000<br />

S = 84.10 R-Sq = 89.6% R-Sq(adj) = 88.1%

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