Anthropometric Survey of US Army Personnel (1988): Correlation Coefficients and Regression Equations. Part 5. Stepwise and Standard Multiple Regression Tables

1990 ◽  
Author(s):  
James Cheverud ◽  
Claire C. Gordon ◽  
Robert A. Walker ◽  
Cashell Jacquish ◽  
Luci Kohn ◽  
...  
Keyword(s):  
Multiple Regression ◽  
Correlation Coefficients ◽  
Regression Equations ◽  
Us Army ◽  
Army Personnel

Correlation of the Levels of Several Constituents of Commercial Orange Juices

1968 ◽  
Vol 51 (6) ◽  
pp. 1199-1203 ◽  
Author(s):  
D E Coffin
Keyword(s):  
Amino Acids ◽  
Amino Acid ◽  
Multiple Regression ◽  
Correlation Coefficients ◽  
Titratable Acidity ◽  
The Other ◽  
Regression Equations

Abstract The amino acid, betaine, polyphenolics, ash, and phosphorus contents, and the titratable acidity of 32 samples of commercial orange juices and reconstituted orange juices were determined. Wide variations in the levels of these constituents were found but there were no significant differences between the juices and the reconstituted juices. Highly significant correlations were established between the levels of the amino acids, betaine, polyphenolics, ash, and phosphorus. The titratable acidity levels failed to show any significant correlation to any of the other constituents. Multiple regression equations were developed to express the interrelationships between some of the components, and correlation coefficients of combined distributions were calculated.

scholarly journals Predicting Body Weight of Ethiopian Indigenous Chicken Populations from Morphometric Measurements

2021 ◽  
Vol 9 (6) ◽  
pp. 1138-1143
Author(s):  
Fikrineh Negash
Keyword(s):  
Body Weight ◽  
Multiple Regression ◽  
Correlation Coefficients ◽  
Stepwise Multiple Regression ◽  
Regression Equations ◽  
Body Measurements ◽  
Indigenous Chicken ◽  
Morphometric Measurements ◽  
Measuring Tape ◽  
The Relationship

The purpose of this study was to estimate the relationship between body weight (BW) and morphometric measurements of Ethiopian indigenous chicken populations and to develop prediction equations used to estimate BW from body measurements. A total of 621 chickens comprising 134 males and 487 females reared under smallholder management conditions were used for the study. Body weight and morphometric measurements including body length (BL), chest circumference (CC), shank length (SL), and shank circumference (SC) were taken using a hanging scale and a textile measuring tape, respectively. The relationship between BW and morphometric measurements was determined using Pearson’s correlation coefficients (r) and stepwise multiple regression analyses. Descriptive statistics indicated that male birds were heavier than female birds. Correlation results revealed that body weight was significantly and strongly correlated with SL (r = 0.76) in both sexes, and moderately correlated with SC (r = 0.69), BL (r = 0.67), and CC (r = 0.52) in male birds, BL (r=0.68) and SC (r = 0.59) in female birds. Compared to other measurements, SL best predicted BW in both male and female birds, with coefficients of determination (R2) = 0.58. Combining SL with other body measurements (BL, CC, and SC) generally improved the predictive power of the equation. Thus, multiple regression equations that included a combination of the four linear body measurements are more suitable for predicting BW of Ethiopian indigenous chicken populations.

EDUCATIONAL-TRAINING FACILITIES OF GROUND US FORCES

2019 ◽  
pp. 168-176
Author(s):  
D.B. Izyumov ◽  
E.L. Kondratyuk
Keyword(s):  
United States ◽  
Armed Forces ◽  
The United States ◽  
Educational Training ◽  
Us Army ◽  
The Us ◽  
Level Of Training ◽  
Army Personnel

The article discusses issues related to the development and use of training means and facilities in order to improve the level of training of US Army personnel. An overview of the main simulators used in the US Armed Forces at present is given, and the prospects for the development of the United States in this area are presented.

Heat Power Determination of Dv-290 Refrigerator’s Evaporator on the Basis of Thermodynamic Parameters of Inlet Air / Określenie Mocy Cieplnej Parownika Chłodziarki Dv-290 Na Podstawie Parametrów Termodynamicznych Powietrza Wlotowego

2012 ◽  
Vol 57 (4) ◽  
pp. 911-920
Author(s):  
Bernard Nowak ◽  
Zbigniew Kuczera
Keyword(s):  
Thermodynamic Parameters ◽  
Thermal Power ◽  
Correlation Coefficients ◽  
Specific Humidity ◽  
Physical Parameters ◽  
Air Cooling ◽  
Regression Equations ◽  
Evaporation And Condensation ◽  
Before And After ◽  
The Given

Abstract The present paper introduces a method for calculating the thermal power of DV-290 mining air cooler’s evaporator. The power usually differs from the nominal power given by the manufacturer. The thermodynamic parameters of cooled air are not obtained as a result of in situ measurements, but in indirect manner that is by determining the evaporation and condensation’s pressure values of R407C refrigerant. The pressure dependencies formulated as a function of air enthalpy at the evaporator’s inlet were obtained using calculations of a computer program which solves the system of equations describing heat and mass transfer in the refrigerator’s compressor on the basis of previous measurements of air performed before and after its cooling. The obtained dependencies are demonstrated in a graphical (fig. 2 and fig. 3) and analytical (the regression equations (19) and (20)) manner, the values of correlation coefficients are also presented. For the known evaporation and condensation pressure values of the refrigerant, and thus for its basic physical parameters the complete thermal power of the evaporator was determined, that is its: air cooling overt power, dehumidification occult power, temperature, relative humidity and specific humidity of air after its cooling. In addition, using the mentioned method, the capacity of DV-290 refrigerator’s evaporator is provided for the given thermodynamic parameters of air before cooling, along with air thermodynamic parameters after cooling.

Estimation de la production de jeunes plantations de pin rouge et de pin gris du sud du Québec

1976 ◽  
Vol 6 (4) ◽  
pp. 478-486 ◽  
Author(s):  
H. A. Bolghari
Keyword(s):  
Multiple Regression ◽  
Jack Pine ◽  
Red Pine ◽  
Pine Plantations ◽  
Regression Equations ◽  
Pine Plantation ◽  
South Shore ◽  
Pine Stands ◽  
Natural Stands ◽  
St Lawrence River

Multiple regression equations have been developed to predict yield from young red pine and jack pine plantations. Data from 446 sample plots representing young red pine and jack pine stands located on the south shore of the St. Lawrence River between Quebec and Montreal were analysed. The red pine plantation yielded more than the jack pine. However, in plantation both species yield more than in natural stands. Taking into account the age and spacing of the sampled plantations, the equation obtained can provide information on yield of red pine and jack pine stands the maximum spacing of which is 3 × 3 m, up to the age of 45 and 35 years respectively. The equations will allow the construction of preliminary yield tables for both species.

scholarly journals Standing crops of dominant combretum species at three browsing levels in the Kruger National Park

Koedoe ◽  
1978 ◽  
Vol 21 (1) ◽  
Author(s):  
B.R. Dayton
Keyword(s):  
National Park ◽  
Correlation Coefficients ◽  
Kruger National Park ◽  
Total Biomass ◽  
Regression Equations ◽  
Stem Height ◽  
Basal Diameter ◽  
Independent Variable ◽  
Combretum Apiculatum ◽  
Different Levels

In red bushwillow veld near the Sand River in the Kruger National Park, Republic of South Africa, a determination was made of the standing crops of Combretum apiculatum and C. zeyheri at browsing levels delineated by the maximum feeding heights of impala (1,5 m), kudu (2,5 m) and giraffe (5,5 m). Using harvested sample trees, logarithmic or linear regression equations were generated which related basal diameter or stem height to biomass or percentage of total biomass at the different levels. Biomass was divided into two components: current shoots and wood plus bark. Regression forms and variables which produced the highest correlation coefficients changed with changes in species or browsing level, however, most equations were logarithmic with basal diameter as the independent variable.

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