In ASHRAE RP-556, summarized in the ASHRAE publication Algorithms for HVAC Acoustics, Reynolds and Bledsoe (1990) analyzed the measured insertion loss data for lined rectangular ducts procured in measurement campaigns by Kuntz (1987), Kuntz and Hoover (1987), and Machen and Haines (1983), and developed a regression equation
for each octave band center frequency from 63 Hz to 8000 Hz.
Simple regression analysis to establish the regression equations
that can be used to predict the sum of mesiodistal widths of maxillary and mandibular incisors from each other
Stepwise multiple regression analysis can identify the significance of the partial regression coefficient and gradually remove nonsignificant morphological traits; this method was used to construct multiple regression equations
between total body weight and morphological traits.
The regression equation
was highly significant (P<0.001) for all heart girth-estimated BW correlations for all species.
The aim of this study was to validate the applicability of a regression equation
proposed by Melgaco for prediction of mesiodistal width of unerupted canine and premolars in mandibular arch (PSCP) in class II division 1 occlusal relations.
The implications of these regression equations
can be understood from the comparison of the uncertainties of the intercept and slope, which are lower for the UWLR (equation (14)) than for the OLR (equation (13)).
Table 7 shows the prediction equations for TPA parameters as determined from regression equations
Our results demonstrated that when PV/TV ratio was used as an index, a linear regression equation
for individual age was established: Y=69.137-621.200 (PV/TV), R=0.544; the inferred function of male age: Y=64.333-468.811 (PV/TV), R=0.435; the inferred function of female age: Y=76.445-843.186 (PV/ TV), R=0.691.
Multivariate linear regression analysis was performed to formulate regression equation
for estimation of length of femur from measurements of various fragments.
The use of skinfolds has even led to derivations of multiple regression equations
in diverse populations (15).
The intercepts and slopes were both significant (p<0.01) in regression equations
of cottonseed oil (Table 7).
Regression co-efficient were solved in Design Expert 7 statistical software, to obtain regression equations
and predict the weld zone micro hardness.