REGR

AcronymDefinition
REGRRelative Elemental Growth Rate
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References in periodicals archive ?
Woodland 4.169 [+ or -] 1.10 -0.158 [+ or -] 0.09 Grassland 6.760 [+ or -] 0.86 -0.122 [+ or -] 0.09 Shrubland 8.319 [+ or -] 0.93 -0.292 [+ or -] 0.08 Riparian 3.551 [+ or -] 0.99 -0.009 [+ or -] 0.08 Slope of SAD: [F.sub.380],= 6.53, p (regr): 0.0005 Wet season Woodland 1.824 [+ or -] 0.82 0.231 [+ or -] 0.07 Grassland 7.501 [+ or -] 0.87 0.043 [+ or -] 0.11 Shrubland 5.816 [+ or -] 1.03 0.22 [+ or -] 0.08 Riparian 3.856 [+ or -] 0.97 0.21 [+ or -] 0.08 Slope of SAD = F3,117] = 7.32, p(regr) = 0.0001, Sample [R.sup.2] Prob.
Regr. Dependent variable Independent [R.sup.2] model variable = CETSCALE B T 1 Apparel 0.630 12.43 ** 0.255 2 Food & beverage 0.523 10.92 ** 0.209 4 Furniture & home decor 0.436 9.06 ** 0.154 3 Electrical & household 0.406 7.37 ** 0.107 appliances 6 Telecommunication 0.344 5.87 ** 0.071 services 5 Banking services 0.317 5.69 ** 0.067 ** p < 0.001
(RT) 0.491 (*) -0.498 (*) 0.223 P value (Regr.) 0.028 0.025 n.s.
Tsolakis and Megaritis (2004) used a fuel reformer to produce hydrogen-rich gas to be introduced into the combustion process by way of reformed exhaust-gas recirculation (REGR).
Theh story of 75-yeary -oldr widowo Phyllis h Preece in today'as' Echoc is heartbreaking, but is one that is surelyl repeated e across the regr ion.
Collinearity Coefficients Statistics Beta Tolerance VIF 1 (Constant) -1.241 .216 Age .181 2.386 .018 1.000 1.000 Collinearity Diagnostics (a) Model Dimension Eigenvalue Condition Variance Proportions Index (Constant) PosAge 1 1 1.52 1 .24 .24 2 .48 1.78 .76 .76 (a) Dependent Variable: REGR factor score 1 for analysis 2 Table 5 Stepwise Regression Model with Upbringing as Only Predictor of Factor 2 Model Summary Model R R Square Adjusted Std.
But, for his part, Barry is trying to put a lid on a succession of regr ttable events, confirming he had said sorry to Mancini, before widening his apology to the City fans for the dreadful performance at Molineux, which the manager was at a loss to explain.