53 
Table D-6. Least Square means (LSmean) and model coefficients (upper) 
and coefficient p-value (lower) for each Tributary. (TurbSlope, chlSIope and 
salSIope = regression coefficients for Turbidity, chlorophyll and salinity 
respectively; Turbpv, chlpv, salpv= p-value of model coefficient on 
Turbidity, chlorophyll and salinity). 
Obs 
Tributary 
LSmean 
TurbSlope 
Turbpv 
chlSIope 
chlpv 
salSIope 
salpv 
1 
Bush River 
0.66228760 
0.34563 
0.000000 
0.020457 
0.00000 
0.06362 
0.37814 
2 
Eastern Bay 
0.18462797 
0.36081 
0.000397 
0.007857 
0.59755 
0.04053 
0.29528 
3 
Fishing Bay/ 
Chicamacomico R. 
2.89957195 
0.35825 
0.000000 
0.019746 
0.20928 
-0.20987 
0.00001 
4 
Gunpowder River 
0.63520230 
0.29985 
0.000000 
0.018917 
0.02892 
-0.01304 
0.76646 
5 
Little Choptank 
-0.81415538 
0.45633 
0.003947 
0.041194 
0.33639 
0.07570 
0.32372 
6 
Lower Chester R 
0.11402091 
0.39440 
0.000000 
0.010186 
0.00000 
0.03962 
0.24702 
7 
Lower Patuxent 
-0.19481321 
0.29497 
0.000000 
0.016327 
0.02453 
0.06830 
0.08088 
8 
Magothy River 
0.83013497 
0.32554 
0.002151 
0.007115 
0.32672 
0.03451 
0.80087 
9 
Middle River 
0.86931693 
0.25333 
0.000000 
0.020142 
0.00732 
0.03057 
0.68222 
10 
Miles/Wye River 
-0.64846088 
0.43871 
0.000000 
0.017175 
0.00117 
0.09466 
0.05894 
11 
Potomac River T 
-0.07347812 
0.22545 
0.010952 
0.005387 
0.79545 
4.31676 
0.74414 
12 
Severn River 
1.40514400 
0.37330 
0.000148 
0.007781 
0.45731 
-0.08086 
0.53781 
13 
South River 
1.57989702 
0.19308 
0.050066 
0.023131 
0.00284 
-0.07961 
0.07244 
14 
St. Mary's Rive 
0.64822056 
0.31973 
0.000000 
0.002694 
0.48257 
0.00208 
0.93330 
15 
Upper Chester R 
0.12031682 
0.47757 
0.000000 
0.021069 
0.00006 
0.04017 
0.50339 
16 
Upper Patuxent 
0.92850523 
0.26910 
0.000000 
-0.008369 
0.06838 
0.03845 
0.26144 
17 
West/Rhode Rive 
0.36220019 
0.25795 
0.000031 
0.023594 
0.00047 
0.03514 
0.28732 
Least Squares Means at rl_5turb=0.5, xCHLA=3, xInSALINlTY=0 
The tributary groups shown in Figure D-l are a starting point for organizing the trib¬ 
utaries into groups with similar coefficients. Tributaries that are joined near the 
bottom of the distance scale have similar coefficients and the similarity decreases as 
groups are joined further up the distance scale. At the top of the distance scale, all 
tributaries are in one group. The question is “How far up the distance scale should 
the groups be formed?” For guidance in addressing this question, we implement a 
statistical criterion. We try to form tributary groups for which the three predictor 
appendix d • Derivation of Regressions 
