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Brian T.,'Trus Page 3 of 3 <br /> Pacific Environmental Group <br /> Project:•°310-01.04 <br /> Febraury'.`1, 1993 <br /> ILI <br />{ <br /> LINEAR REGRESSION OF VACUUM DATA <br /> tax- <br /> Covert aii equation of the form Y = e + b into linear form: <br /> • <br /> Ln(y) _:'ax + Ln(b) <br /> I <br /> Plog `lnPave 0 <br /> 5_335 ` <br /> i [ i� Plog = - <br /> -5.805 <br /> .. Calculate the slope, y - intercept and the correlation coefficient: <br /> mPln := slope(R,Plog) mPln -0.262 linear regression slope <br /> bPln intercept(R,Plog) bPln -0.951 linear regression intercept <br /> f rP1nJz= coir(R,Plog) rPln = -0.88 correlation coefficient <br /> Plot. the:f £ield data and the regressed curve in semi-log form: <br /> r .= 0 . .100 <br /> Fi <br /> 1.0 1.0 <br /> i <br /> ;. 0.1 <br /> a (mPln- r+bPln) <br /> 7 <br /> Pn ,e <br /> .01 <br /> 0.001 <br /> 0 R ,r 100 <br /> Calculate the effective radius of influence at to of total vacuum: <br /> A.: In(0.01) - bPln <br /> Re X. Re = 13.96 Feet <br /> mPln <br />