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Regression curve

Figure 4.21. Residuals for linear (left) and quadratic (right) regressions the ordinates are scaled +20 mAU. Note the increase in variance toward higher concentrations (heteroscedacity). The gray line was plotted as the difference between the quadratic and the linear regression curves. Concentration scale 0-25 /ag/ml, final dilution. Figure 4.21. Residuals for linear (left) and quadratic (right) regressions the ordinates are scaled +20 mAU. Note the increase in variance toward higher concentrations (heteroscedacity). The gray line was plotted as the difference between the quadratic and the linear regression curves. Concentration scale 0-25 /ag/ml, final dilution.
Generally, no sample concentration or dilution is involved, and the resulting concentration value is taken directly from the regression curve and represents the concentration of the analyte in the injected sample. If dilution is necessary, then the ratio of the original and final volumes is included in the calculation as shown in the equation... [Pg.385]

C (mg = [(slope of regression curve) x (sample peak area)]... [Pg.1240]

FIG. 10 Plots of AGt ° " (z-dep)/w against E (with r = rjj) for hydrated cations (O) and anions ( ). Note that the n values for the plots of Ca and Ba + have been corrected for the shielding effect (see text) by subtracting 4 from their net values of n (X) represents the plots with the net values. Solid lines show the regression curves [Eqs. (45) and (46)]. (From Ref. 49. Copyright 1998 American Chemical Society.)... [Pg.60]

The linearity of a method is defined as its ability to provide measurement results that are directly proportional to the concentration of the analyte, or are directly proportional after some type of mathematical transformation. Linearity is usually documented as the ordinary least squares (OLS) curve, or simply as the linear regression curve, of the measured instrumental responses (either peak area or height) as a function of increasing analyte concentration [22, 23], The use of peak areas is preferred as compared to the use of peak heights for making the calibration curve [24],... [Pg.249]

To quantitatively characterize the PM populations using chiroptical characteristics, it may be useful to use the gabs values of 16 at each temperature with reference to the regression curve of these gabs values in 17, which is assumed to adopt a purely P 73-helical structure, instead of the Ae value. The analysis is based on the assumption that the weak temperature dependence of the ymax for 17 is due to a minute modification in the screw pitch of the P helix, rather than any formation of the M-helical motif. [Pg.233]

Figure 4.13 (a) Temperature dependence of dissymmetry ratios of poly ( S )-3,7-dimethy locty 1-3-methylbutylsilane (16) (three different Mw samples) and poly (5) -3,7-dimethyloctyl-2-methyl-propylsilane (17) (a purely P helix) in isooctane, (b) Temperature dependence of P and M populations of 16 in isooctane by reference to the regression curve of gabs values in 17. [Pg.234]

Solutions are presented in the form of equations, tables, and graphs—most often the last. Serious numerical results generally have to be obtained with computers or powerful calculators. The introductory chapter describes the numerical procedures that are required. Inexpensive software has been used here for integration, differentiation, nonlinear equations, simultaneous equations, systems of differential equations, data regression, curve fitting, and graphing. [Pg.7]

Representative data for [ H]acetylcholine binding to the membrane-bound Torpedo nAChR. Bindng was measured either by equilibrium dialysis (closed circles) as described in Protocol 4.1 or by centrifugation (open squares, see Protocol 4.2). Estimated Kd values from nonlinear regression curve fitting were 12 nM and 10 nM, respectively with corresponding Rq values of 0.14 ulM and 0.135 ulM... [Pg.268]

Fig. 8 Influence of the P-ban in detergent to the moving averages over a period of 22 weeks (solid line) for DRP concentration in the Thur and Rhone. Sinusoidal regression curves (dashed line) before and after the ban... Fig. 8 Influence of the P-ban in detergent to the moving averages over a period of 22 weeks (solid line) for DRP concentration in the Thur and Rhone. Sinusoidal regression curves (dashed line) before and after the ban...
Fig. 5. Comparison of linear regression curve fitting for the data of Figs. 4a and 4b showing (a) mean and (b) the nonuniformity. Fig. 5. Comparison of linear regression curve fitting for the data of Figs. 4a and 4b showing (a) mean and (b) the nonuniformity.
Determine the absorbance at each concentration, and obtain the regression curve of lead concentration versus absorbance by the least squares method. [Pg.99]

Figure 8 shows a plot of the concentration of methanol produced by the hydrolysis of SiQAC at pH 4.07 in water and the nonlinear regression curve of equation (18) assuming three consecutive, irreversible first-order reactions. A summary of the observed rate constants at each pH studied is shown in Table 4. Regression fits produced R2 values of better than 0.99 for all the pH values investigated. Plots of the observed values of k, k2, and k3 vs. pH are linear in all cases, with R2 values greater than 0.99, and with slopes of -0.997, -0.992 and -0.999, respectively. The ratio of kt k2 k3 is approximately 20 3 1. [Pg.155]

The influence of the temperature on the clotting time of p- -casein is presented in Figure 6. The least-squares regression curve through the experimental points is... [Pg.132]

The results obtained with the biosensor agreed fairly well with those achieved by applying the enzymatic kit. The parameters of the linear least square regression curve obtained by plotting the biosensor results versus the results obtained with the commercial kit for all the honey... [Pg.1070]

Figure 10. S180 versus elevation for various groupings of the data presented by Gondiantini et al. (2001) based on data in their Table 6. Black dashed curve is the polynomial regression curve derived from the unweighted mean isotopic composition as a function of elevation used by Garzione et al. (2006) as corrected by Garzione et al. (2007) and the bold line is the linear regression relationship preferred by Garzione et al. (2007). Figure 10. S180 versus elevation for various groupings of the data presented by Gondiantini et al. (2001) based on data in their Table 6. Black dashed curve is the polynomial regression curve derived from the unweighted mean isotopic composition as a function of elevation used by Garzione et al. (2006) as corrected by Garzione et al. (2007) and the bold line is the linear regression relationship preferred by Garzione et al. (2007).
Sankar et al. [12] reported a spectrophotometric method for the analysis of clopidogrel and repaglinide in their pure forms and in their combination tablet. In this method, water was used as the solvent, and clopidogrel was determined on the basis of its absorbance at a wavelength of 225 nm. The regression curve was linear over the range of 10-60 yg/ml. [Pg.86]

Adjust the inoculum to the desired concentration in sterile PBS (see Note 5). For standardization of S. pneumoniae inoculum, a regression curve should be constructed for the selected strain by plotting the log number of serial bacterial dilutions against the percentage optical density of the suspensions read at 600 nm wavelength in a spectrophotometer (Novospec II, Pharmacia). Optical density of uninoculated THY from the same batch is used as blank. [Pg.407]

The deposit of active chemical, the drift losses and drop size range can be found and would be functions of the spray formulations and application equipment which are under test In a given weather and application terrain. In order to compare different test run data, the results may be plotted as a series of 2nd degree polynomial regression curves (6). Actual chemical analysis of the released spray caught on the samplers provides the most accurate measure of deposit and airborne losses, but calculation of these functions from the drop sizes found can also be done. A total deposit recovery as a % of the amount released can be determined. [Pg.99]

The indirect method can be employed by extrapolating the rheologic models or the shear stress-shear rate data to zero shear rate. The computer software Table Curve 1.12 was used to fit the shear stress-shear rate data to the different rheologic models. This software uses the Simplex method for a nonlinear regression curve fit. [Pg.353]

The regression curve of the previously determined (3) relationship between 18°S02- an< 180H20 n aqueous-phase oxidation of SO2 by H2O2... [Pg.283]


See other pages where Regression curve is mentioned: [Pg.586]    [Pg.588]    [Pg.245]    [Pg.237]    [Pg.82]    [Pg.37]    [Pg.399]    [Pg.60]    [Pg.198]    [Pg.143]    [Pg.272]    [Pg.152]    [Pg.153]    [Pg.35]    [Pg.775]    [Pg.267]    [Pg.501]    [Pg.154]    [Pg.225]    [Pg.398]    [Pg.19]    [Pg.283]    [Pg.283]    [Pg.285]    [Pg.152]    [Pg.154]    [Pg.216]   
See also in sourсe #XX -- [ Pg.234 , Pg.237 ]




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