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Statistical Methods in Medical Research 4ed

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y<br />

Fig. 7.6 A three-dimensional representation of a bivariate normal distribution, the vertical dimension<br />

represent<strong>in</strong>g probability density (repr<strong>in</strong>ted from Yule and Kendall, 1950, by permission of the<br />

authors and publishers).<br />

Errors of prediction<br />

The best estimate of the mean value of y at a given value of x, say x0, is given by<br />

the regression equation<br />

The sampl<strong>in</strong>g variance of Y is<br />

7.4 Sampl<strong>in</strong>g errors <strong>in</strong> regression and correlation 201<br />

Y ˆ a ‡ bx0 ˆ y ‡ b…x0 x†: …7:20†<br />

var…Y† ˆvar…y†‡…x0 x† 2 var…b†<br />

2 1<br />

ˆ s<br />

n ‡ …x0 x† 2<br />

" #<br />

P 2 ,<br />

…x x†<br />

which may be estimated by<br />

var…Y† ˆs 2 1<br />

0<br />

n ‡ …x0 x† 2<br />

" #<br />

P 2 :<br />

…x x†<br />

Aga<strong>in</strong> the t distribution on n 2 DF is required. For <strong>in</strong>stance, 95% confidence<br />

limits for the predicted mean are<br />

1<br />

Y tn 2, 0 05s0<br />

n ‡ …x0 x† 2<br />

s"<br />

P<br />

…x<br />

#<br />

2 :<br />

x†<br />

…7:21†<br />

x

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