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<br />0,5 <br /> <br />0,4 <br /> <br />LINE OF REGRESSION - <br />(SR = 0.0648 + 0.0019 P 0.125) <br /> <br />.:t ONE STANDARD ERROR <br />OF ESTIMATE <br /> <br />cr: <br />~ <br />Z 0,3 <br />0 <br />f= <br />z <br />w <br />f- <br />w <br />a: 0,2 <br />U . . . <br />ii: . <br />U . <br /> . . <br />W . . - <br />"- . <br />lfl - <br /> - -. <br /> 0,1 <br /> . . <br /> . .-:.:-:~- <br /> .. .... <br /> ....~ ... <br /> ..... ...... . <br /> 0 <br /> 0 20 <br /> <br /> <br />. <br /> <br />. <br />. <br /> <br />. <br />. <br /> <br />- <br /> <br />. <br /> <br />. <br /> <br />- <br /> <br />. - <br />a_ _ _ - . <br />. <br />.. . . <br /> <br />. - <br />_-r <br /> <br />. <br /> <br />- <br /> <br />. <br /> <br />- <br />- . <br />. <br /> <br />.._ a_ _ <br />_-a . <br />.....- .. <br />... <br /> <br />. <br /> <br />. <br /> <br />- <br /> <br />. <br /> <br />. <br /> <br />. <br /> <br />- <br /> <br /> <br />- <br /> <br />40 <br /> <br />60 <br /> <br />80 <br /> <br />100 <br /> <br />PERCENT FINER THAN 0,125 MILLIMETER IP 0,1251 <br /> <br />Figure 4. Linear regression relation of specific retention on grain.size characteristics.-COntinued. <br /> <br />Table 2. Mean specific retention measured by core analyses and calculated from the grain.size regression model for a <br />regression and a verification data set <br /> <br /> Regression data set Verification data set <br />Aquifer Number 01 Reglllsslon Number 01 Reglllsslon <br /> samples Colli modal samples COlli modal <br /> Mean specific retention Mean specific retention <br />Dawson 37 0.17 0,15 11 0.13 0,12 <br />Denver 55 .17 .16 10 .18 ,15 <br />Arapahoe 37 .08 .11 16 .13 .14 <br /> <br />SPECIFIC-YIELD AND SPECIFIC-RETENTION ESTIMATES FROM GRAIN-SIZE DATA 9 <br />