Correlation coefficient and path analysis in okra [Abelmoschus esculentus (L.) Moench]

2020 ◽  
Vol 8 (4) ◽  
pp. 2546-2548
Author(s):  
Satish Kumar Gautam ◽  
Sanjay Kumar ◽  
VB Singh ◽  
Jitendra Kumar ◽  
Mohit Lal
Keyword(s):  
Path Analysis ◽  
Correlation Coefficient ◽  
Abelmoschus Esculentus

Plant character correlations and path analysis of pod yield in okra (Abelmoschus esculentus)

Euphytica ◽  
1987 ◽  
Vol 36 (2) ◽  
pp. 677-686 ◽  
Author(s):  
O. J. Ariyo ◽  
M. E. Aken'ova ◽  
C. A. Fatokun
Keyword(s):  
Path Analysis ◽  
Abelmoschus Esculentus ◽  
Plant Character ◽  
Pod Yield ◽  
Character Correlations

scholarly journals LIKUIDITAS, LEVERAGE, PROFITABILITAS PENGARUHNYATERHADAP NILAI PERUSAHAAN MANUFAKTUR DI INDONESIA MELALUI KEBIJAKAN DEVIDEN

2016 ◽  
Vol 1 (2) ◽  
pp. 108-118
Author(s):  
Ainun Jariah
Keyword(s):  
Path Analysis ◽  
Correlation Coefficient ◽  
Strong Correlation ◽  
Dividend Policy ◽  
Coefficient Of Determination ◽  
Manufacturing Companies ◽  
Analysis Model ◽  
Ability To Pay ◽  
Manufacturing Company ◽  
Path Analysis Model

The company’s value can be found on the ability to pay dividends. The amount of dividends paid to shareholders depend on the dividend policy of each company. This study aims to determine how the effect of liquidity, leverage, profitability toward dividend policy and the value of manufacturing companies in Indonesia. The number of samples are 8 manufacturing company. Data were analyzed using path analysis model. The results showed that liquidity, leverage, profitability have significantly influence on the company’s value, through the variable dividend policy shows the effect of the narrowing means that the value of the company was affected by the dividend policy is not significant. Partially, not all variables have a significant effect, just variables liquidity and leverage have correlation coefficient (R) of 0.574 with a significance of 0.025 which means proven strong correlation with the criteria. While the value of the coefficient of determination (R square) is 32.9%, which variables liquidity, leverage, profitability have influence to company’s value. Keywords: Liquidity , Leverage , Profitability , Dividend Policy , Values of Firm.

scholarly journals Pengaruh Program Acara Talk Show Bugar Bersama Ade Rai Terhadap Pemenuhan Kebutuhan Informasi Pendengar Tentang Kebugaran di Radio PR 107.5 FM Kota Bandung

2018 ◽  
Vol 2 (2) ◽  
Author(s):  
Tatan Gunawan
Keyword(s):  
Path Analysis ◽  
Correlation Coefficient ◽  
Research Method ◽  
Information Needs ◽  
Pearson Correlation ◽  
Sampling Technique ◽  
Good Effect ◽  
Survey Method ◽  
Talk Show ◽  
Inferential Analysis

This research focuses on how far the influence of the talk show Bugar Bersama Ade Rai contained in Radio PRFM Bandung in meeting the information needs of listeners about fitness. The research method used is explanatory survey method with quantitative approach and sampling technique used is accpore porpusive sampling. The population of the research were the listeners of the talk show Bugar Bersama Ade Rai in Radio PRFM Bandung and sample of the research were the listeners who often contact the announcer in the question and answer session. Technical analysis of data used is the technique of path analysis and inferential analysis used is the correlation coefficient by using Pearson correlation formula. The results showed the intensity of Talk Show Bugar with Ade Rai influenced both directly to meet the information needs of radio listeners, even indirectly through the content materials and actualization. The content of Talk Show Bugar together with Ade Rai has an effect both directly on the fulfillment of information needs of radio listeners, even indirectly through the intensity and actualization. Whereas the motive of the actualization of Talk Show listeners with Ade Rai has a good effect directly on the fulfillment of information needs radio listeners, even indirectly through the intensity and content of the material. The intensity, content and motive of the actualization of the listeners Talk Show Fit together with Ade Rai influence together towards the fulfillment of information needs of radio listeners

scholarly journals Path coefficient analysis of quality of two-row spring barley

Genetika ◽  
2013 ◽  
Vol 45 (1) ◽  
pp. 21-30
Author(s):  
Novo Przulj ◽  
Vojislava Momcilovic ◽  
Jovan Crnobarac
Keyword(s):  
Path Analysis ◽  
Correlation Coefficient ◽  
Direct Effect ◽  
Malting Quality ◽  
Path Coefficient ◽  
Malt Extract ◽  
Path Coefficient Analysis ◽  
Simple Correlation ◽  
Component Trait ◽  
Component Traits

Malting quality is composed of numerous interacting traits with a high complexity concerning their biochemical and genetic basis. Malt extract is key indicator of barley malting quality and it is a mega-trait since it is influenced by a number of independent component traits. Understanding genetic and non-genetic factors that effects grain quality and grain yield is crucial in developing new cultivars, seed and mercantile production. Path analysis is one of the reliable statistical techniques which allow separation of the direct effect of each component trait on malt quality from the indirect effects caused by the interdependence component trait. The aim of this study was to investigate spring two-row barley quality as mega-trait depending on the component traits in the conditions of the Pannonian environments. Regression analysis with extract (EXT) as dependant and other traits (yield-YIL, test weight-TW, grain weight-GW, grading-GRA, grain protein concentration-GPC, viscosity-VIS, Kolbach index-KOL, Hartong number-HAR) as independent traits was performed out. Simple coefficient of correlations were calculated between independent traits and EXT in all pair combination and then used as inputs for path coefficient analysis. The quadratic curve fitted the best relationship between EXT and the independent traits. EXT was in positive (P<0.01) relationship with GW, GRA, KOL, and HAR with simple correlation coefficient of 0.47, 0.42, 0.39 and 0.50, respectively and in negative (P<0.01) relationship with GPC and VIS with simple correlation coefficient of -0.72 and -0.51, respectively. Path analysis explained more than 70% of the variation in EXT of which 34.3% was determined by direct negative path coefficient (P<0.01) of GPC without significant any indirect path effect. VIS negatively directly, (P<0.01) and negatively indirectly via GPC effected EXT. KOL did not have significant direct effect on EXT, but had rather prominent indirect effect via GPC, VIS and HAR. HAR positively directly (P<0.01) and positively indirectly via GPC effected EXT. The direct effect of VIS and HAR determined 13.0% and 14.1% of the variation, respectively.

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