We used the non-standardized regression coefficient to generate the

regression equation. The

regression equation is used to accurately predict the values of the levothyroxine dose variable, and its formula is as follows:

Stressed Fish Pond: First

regression equation gives the regression of planktonic biomass on temperature of water.

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.

At the bottom of the plot is the orthogonal

regression equation, which relates the supplier data to OEM data.

So, the closer [R.sup.2] is to 1, the more

regression equation is more appropriate.

One of the most reliable methods of estimating the width of unerupted teeth is the developing of

regression equation utilizing other teeth.

The multiple

regression equation for weight traits (Y) was calculated as follows: Y = a + [b.sub.1][X.sub.1] + [b.sub.2][X.sub.2] + [b.sub.3][X.sub.3] +......+ [b.sub.i][X.sub.i], where Y is the dependent variable, a is the intercept, [b.sub.i] is the partial regression coefficient, and [X.sub.i] is the independent variable.

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 r-value for correlation of HC with GA was 0.863 and

regression equation for calculation of GA from HC was GA (weeks) = 9.2671 + [0.8616 x HC (cm)].

The application of the RR or PCR estimators from the biased estimation methods gave more consistent and safer results instead of the

regression equation generated by the LS method.

Apart from the thirty eight chapters covered under seven parts, book also provides an intuitive introduction to regression analysis, review of elementary statistics, determining significance of the regression analysis, multiple regression model, analysis of

regression equation, and practical considerations in applying regression analysis under appendices.