The profile area of beef carcasses and its relationship to carcass composition

1975 ◽  
Vol 20 (3) ◽  
pp. 355-361 ◽  
Author(s):  
A. V. Fisher
Keyword(s):  
Visual Assessment ◽  
Carcass Composition ◽  
Muscle Weight ◽  
Independent Variables ◽  
Beef Carcasses ◽  
Dependent Variables ◽  
Dorsal Area ◽  
Total Fat ◽  
The Relationship ◽  
Profile Area

SUMMARYThe relationship was examined between the composition of carcasses from 30 castrated Hereford male cattle and their profile areas obtained from photographic negatives. The accuracy of this method n i determining fatness was compared with that of other methods including visual assessment.Photographs were taken of a dorsal view of the intact carcass and lateral and medial views of the left side after splitting the carcass. A planimeter was used to measure the areas which were obtained from photographic negatives. Carcass lengths were recorded from the medial views. A panel of six judges assessed the sides for fatness on a seven-point scale with the aid of photographic standards.Areas and carcass lengths, adjusted to dimensional parity, were used as independent variables in multiple regression analyses, with the weights of the dissected tissues as dependent variables. Explanation of variation in muscle weight was poor, but dorsal area and length were (very nearly) as good as visual score and side weight in predicting total fat weight.

ANALISA PENGARUH IKLIM ORGANISASI DAN KOMPETENSI TERHADAP KINERJA PEGAWAI PT HUTAMA KARYA

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Erik Wardhana, MM.
Keyword(s):  
Organizational Climate ◽  
Employee Performance ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Free Variable ◽  
Independent Variables ◽  
Dependent Variables ◽  
Correlational Approach ◽  
Survey Research Methods ◽  
The Relationship

This study entitled "Analysis of Effect of Climate Organization and Competence Againt Employee PT. Hutama Karya ". The purpose of this study was to obtain information on the relationship between the free variable that organizational climate (X1) and competence (X2) with the dependent variable is employee performance (Y), either partially or simultaneously, This study used survey research methods with the correlational approach and predictive, which aims for the relationship and influence between independent and dependent variables. The sampling technique can be done randomly (simple random sampling) of 852 employees, which is considered to resprentatif is 89 people. And to solve problems, to analyze and examine the relationship and influence between the independent variables on the dependent variable used models kausalistik through regression analysis with SPSS 14.0

scholarly journals A Student’s Guide to the Classification and Operationalization of Variables in the Conceptualization and Design of a Clinical Study: Part 1

2021 ◽  
Vol 43 (2) ◽  
pp. 177-179 ◽  
Author(s):  
Chittaranjan Andrade
Keyword(s):  
Clinical Study ◽  
Significant Relationship ◽  
Research Experience ◽  
Process Variables ◽  
Know How ◽  
Independent Variables ◽  
Cause And Effect ◽  
Confounding Variables ◽  
Dependent Variables ◽  
The Relationship

Students without prior research experience may not know how to conceptualize and design a study. This article explains how an understanding of the classification and operationalization of variables is the key to the process. Variables describe aspects of the sample that is under study; they are so called because they vary in value from subject to subject in the sample. Variables may be independent or dependent. Independent variables influence the value of other variables; dependent variables are influenced in value by other variables. A hypothesis states an expected relationship between variables. A significant relationship between an independent and dependent variable does not prove cause and effect; the relationship may partly or wholly be explained by one or more confounding variables. Variables need to be operationalized; that is, defined in a way that permits their accurate measurement. These and other concepts are explained with the help of clinically relevant examples.

Large rotary dairies achieve high cow throughput but are not more labour efficient than medium-sized rotaries

2013 ◽  
Vol 53 (6) ◽  
pp. 573 ◽  
Author(s):  
J. P. Edwards ◽  
J. G. Jago ◽  
N. Lopez-Villalobos
Keyword(s):  
Milk Yield ◽  
Mixed Models ◽  
Telephone Survey ◽  
Independent Variables ◽  
Milk Flow ◽  
Efficiency Measures ◽  
Dependent Variables ◽  
A Site ◽  
The Relationship ◽  
Total Labour

It was hypothesised that large rotary dairies (>60 clusters) are not more operator efficient than medium-sized rotaries (40–60 clusters). This was tested by collecting and analysing milking data, during peak and late lactation, from block calving herds milked in rotary dairies fitted with electronic milk meters. Data were collected from a total of 61 unique farms around New Zealand, with rotary dairies ranging in size from 28 to 80 clusters, for two 5-day periods during spring (September–November 2010; 47 farms; average milk yield 23.1 kg/day) and autumn (February–April 2011; 60 farms; average milk yield 16.4 kg/day). A telephone survey was conducted to collect basic farm details: size, land area, the number of herds managed (including hospital herds), number of operators in the dairy and total labour input. A site visit was conducted to collect data such as the number of bails/stalls over the entrance and exit of the platform. The herd management software on each farm was programmed to record similar fields for each of the six machine manufacturers represented. Variables recorded included cow, date, identification time, bail number, milk yield, milking duration, and average milk flow rate. Calculations were performed to determine the number of cows milked and milk harvested per hour as well as the operator efficiency values for these measures and an estimate of cluster utilisation. Mixed models were used to determine the relationship between the dependent variables, cows milked per hour, milk harvested per hour, cows milked per operator per hour, milk harvested per operator per hour, and cluster utilisation, and the independent variables collected. Cows milked and milk harvested per hour increased linearly with rotary size, during both spring and autumn and there was a quadratic relationship between operator efficiency measures and rotary size, which peaked at ~60 clusters. Cluster utilisation, the amount of time clusters were harvesting milk out of the plant running time, was estimated at 46 ± 6%. Larger rotary dairies on average achieved greater throughput; however, they were not more operator efficient than medium-sized rotaries. Thus, large rotary dairies are best suited to farms where the additional throughput is required.

scholarly journals Pengaruh Kompensasi Finansial Terhadap Kinerja Karyawan Pada PT Penggadaian (Persero) Cabang Jambi

2020 ◽  
Vol 5 (2) ◽  
pp. 209
Author(s):  
Fadil Iskandar
Keyword(s):  
Statistical Tests ◽  
Financial Compensation ◽  
Independent Variables ◽  
Correlational Research ◽  
Dependent Variables ◽  
And Performance ◽  
Relationship Of ◽  
The Relationship ◽  
Descriptive Method ◽  
Variable Performance

This research aims to find out how implementation of the financial compensation and performance job of PT Penggadaian (Persero) Branch  of Jambi. Next also to analyze implamentation and how the influence of financial compensation on performance job in PT Penggadaian (Persero) of Banch Jambi. This research uses descriptive method quantitative correlational research with the form that describes the relationship of independent variables with dependent variables. The research on the analysis tools using simple regression with hypothesis prove with statistical tests t. The results showed that a significant effect on performance financial compensation of performance job which are characterized by tcount > ttable and Prog. sig < α (0.05). While the correlation value i.e. 64% of these mean that have relationship very closely between financial compensation variables with variable performance job.

scholarly journals PENGARUH REVIU RKA-K/L OLEH APIP TERHADAP EFISIENSI ALOKASI ANGGARAN KEMENTERIAN AGAMA

2019 ◽  
Vol 1 (1) ◽  
pp. 12
Author(s):  
Edy Effendi ◽  
Muhammad Imron
Keyword(s):  
Linear Regression ◽  
Simple Linear Regression ◽  
Independent Variables ◽  
Dependent Variables ◽  
Before And After ◽  
The Impact ◽  
The Relationship ◽  
Positive Effect

Research on the role of the APIP review of the Ministry/agency Work Plan and Budget document to determine the impact on the efficiency of ministry/agency spending (case study at the Ministry of Religion). The method used in this study uses simple linear regression with dummy. The use of linear regression is used to examine the relationship between independent variables (certain types of expenditure) and dependent variables (total expenditure). Whereas, dummy is used to find out before and after the APIP review is done. Throughout the author's search, this research has never been done. Based on the results of linear regression obtained, the APIP review significantly had a positive effect on official travel expenditure and honorarium but did not significantly affect building spending and equipment. Abstrak   Penelitian atas peran reviu APIP atas dokumen Rencana Kerja dan Anggaran Kementerian Negara/Lembaga untuk mengetahui dampaknya terhadap efisiensi belanja kementerian/lembaga (studi kasus pada Kementerian Agama). Metode yang digunakan dalam penelitian ini menggunakan regresi linier sederhana dengan dummy. Penggunaan regresi liner digunakan untuk meneliti hubungan antara variable independen (jenis belanja tertentu) dan variable dependen (total belanja). Sedangkan, dummy digunakan untuk mengetahui sebelum dan setelah reviu APIP dilakukan. Sepanjang penelusuran penulis, penelitian ini belum pernah dilakukan. Berdasarkan hasil regresi linier diperoleh, reviu APIP signifikan berpengaruh positif terhadap  belanja perjalanan dinas dan honorarium tetapi tidak signifikan berbengaruh terhadap belanja gedung dan alat.

scholarly journals KETERKAITAN PERTUMBUHAN PENJUALAN PERPUTARAN PERSEDIAAN, PERPUTARAN PIUTANG, DAN PERPUTARAN KAS TERHADAP PROFITABILITAS PERUSAHAAN LQ 45 DI BURSA EFEK INDONESIA

2021 ◽  
Vol 5 (2) ◽  
pp. 781
Author(s):  
Sugiyarmasto Sugiyarmasto ◽  
Erlina Setyaningrum
Keyword(s):  
Stock Exchange ◽  
Financial Statements ◽  
Sales Growth ◽  
Analysis Method ◽  
Independent Variables ◽  
Dependent Variables ◽  
Regression Test ◽  
Inventory Turnover ◽  
Relationship Of ◽  
The Relationship

The research aims to determine and provide empirical evidence of , sales growth inventory turnover, receivables Turnover, and significant cash turnover on profitability in LQ 45 Company on Indonesia Stock Exchange year 2016-2018. The samples in this study used purposive sampling so obtained 21 company samples from 45 LQ 45 company population listed on the Indonesia Stock Exchange, with 63 observations of financial statements (21 companies x 3 years of financial statements warning). Dependent variables in this study, namely profitability. While independent variables in this study, sales growth namely inventory turnover, turnover receivables, , cash turnover. The data analysis method used is a type of multiple regression test to test the relationship of independent variables with the dependents The results of the research hypothesis testing proved that the turnover of receivables, and cash turnover significantly positively affect profitability. And sales growth has a negative and significant effect on profitability. While inventory turnover has a negative and insignificant effect on profitability in LQ 45 company in the Indonesia Keywords: sales growth,inventory turnover, turnover receivable, cash turnover,profitability

Regression Modeling of Occupational Stress Among Workers of Unorganized Sector

2016 ◽  
Vol 1 (2) ◽  
Author(s):  
Kalpana Devi ◽  
U. V. Kiran
Keyword(s):  
Linear Regression ◽  
Occupational Stress ◽  
Working Hours ◽  
Stress Scale ◽  
Independent Variables ◽  
Brick Kilns ◽  
Dependent Variables ◽  
The Relationship ◽  
Unorganized Sector ◽  
Possible Cause

The purpose of the study is to investigate the possible cause and effect relationships between occupational stress as dependent variables, and age, working experience, number of working hours daily as independent variables. With the help of linear regression model, the relationship has been explored. The present study was conducted on the workers working in unorganized sectors at Lucknow city, India. Unorganized sector comprises of construction, chikankari, brick kilns, sanitary and ornament workers. The study adopted survey research design and a sample of 500 workers were selected for the study. The data was collected with the help of modified version of occupational stress scale developed by the Srivastava AK (1976). The findings of the study revealed that age, gender, types of work are able to explain only 54% variance of the total variance in occupational stress.

ANALISIS PENGARUH FIRM SIZE DAN PROFITABILITAS TERHADAP ISLAMIC SOCIAL REPORTING (ISR) DENGAN EARNING GROWTH SEBAGAI VARIABEL MODERATING PADA JAKARTA ISLAMIC INDEX (JII)

1970 ◽  
Vol 18 (1) ◽  
pp. 137-150
Author(s):  
Titin Hartini
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Firm Size ◽  
Sampling Technique ◽  
Social Reporting ◽  
Analysis Method ◽  
Earning Growth ◽  
Independent Variables ◽  
Dependent Variables ◽  
The Relationship

This study aims to determine and analyze the effect of Firm Size and Profitability on Islamic Social Reporting, and see whether Earning Growth can strengthen or weaken the relationship between independent variables to the dependent variable. This research takes object in companies registered in Jakarta Islamic Index (JII) for period 2011-2015, amounted to 30 companies and obtained by 12 companies by using purposive sampling technique. Data analysis method used is multiple regression analysis. Based on the results of simultaneous research all the variables berpegaruh against Islamic Social Reporting, but partially, only Firm Size that affect the Islamic Social Reporting. In addition, Earning Growth can not strengthen or weaken the relationship between independent variables and dependent variables.

Care, Cure, and Hospital Dying Trajectories

1985 ◽  
Vol 15 (3) ◽  
pp. 275-288 ◽  
Author(s):  
Christina M. Mumma ◽  
Jeanne Quint Benoliel
Keyword(s):  
Medical Treatment ◽  
Medical Condition ◽  
Length Of Hospital Stay ◽  
Work Effort ◽  
Hospital Records ◽  
Code Status ◽  
Independent Variables ◽  
Dependent Variables ◽  
Relationship Of ◽  
The Relationship

The study was designed to examine the relationship of cause of dying, length of hospital stay, and age to medical treatment effort orientation and amount of work effort expended. The data were obtained through retrospective analysis of patient hospital records of 184 adults who died in an urban teaching hospital. Descriptive variables included demographic characteristics, ascribed medical condition day of death, and code status. Multivariate analysis of variance was used to analyze the relationship of the dependent variables to the independent variables. The findings showed that the medical treatment orientation was overwhelmingly toward the cure end of the care-cure continuum, despite the fact that the majority of patients had been designated no code (non-use of cardiopulmonary resuscitation) and had conditions labeled by their physicians as either grim prognosis or terminal.

scholarly journals Regresi Median Pada Copula Bivariat

2019 ◽  
Vol 3 (1) ◽  
pp. 07
Author(s):  
Geraldus Anggoro Rinadi ◽  
Leopoldus Ricky Sasongko ◽  
Bambang Susanto
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Median Regression ◽  
Independent Variables ◽  
Bivariate Data ◽  
Dependent Variables ◽  
Frank Copula ◽  
The Relationship

Abstrak: Analisis regresi adalah analisis yang sering digunakan dalam segala bidang yang bertujuan untuk memodelkan hubungan antara dua jenis variabel tak bebas dengan satu atau variabel bebas. Regresi linier masih memiliki beberapa kekurangan, maka dari untuk mengatasinya dengan regresi median. Copula dapat digunakan untuk mendeteksi hubungan data bivariat dengan peubah-peubah yang berbeda. Hasil penelitian menunjukkan kurva kuantil bersyarat terbaik berdasarkan MSE terkecil Data I yaitu copula Plackett sebesar 0.8650. Sedangkan nilai MSE terkecil Data II yaitu copula Gaussian sebesar 0.3954. Nilai MSE terkecil Data III yaitu copula Frank sebesar 0.5575. Terakhir, nilai MSE terkecil Data IV yaitu copula Clayton sebesar 0.3190.Abstract:  Regression analysis is an analysis that is often used in all fields which aims to model the relationship between two types of non-dependent variables with one or independent variables. Linear regression still has several drawbacks, so to overcome this by median regression. Copula can be used to detect bivariate data relations with different variables. The results showed that the best conditional curves based on the smallest MSE of Data I were Plackett copula of 0.8650. While the smallest MSE value is Data II, which is a Gaussian population of 0.3954. The smallest MSE value of Data III is Frank copula of 0.5575. Finally, the smallest MSE value is Data IV which is copula Clayton of 0.3190.

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