scholarly journals Analisis Permintaan Buah Pisang Di Kota Denpasar, Bali

2017 ◽  
Vol 5 (1) ◽  
Author(s):  
PK Suparyana ◽  
W Ramantha ◽  
W Budiasa
Keyword(s):  
Linear Regression ◽  
Price Elasticity ◽  
Income Elasticity ◽  
Linear Regression Analysis ◽  
Demand Model ◽  
Total Income ◽  
Independent Variables ◽  
Elasticity Of Demand ◽  
Positive Meaning ◽  
Household Members

ABSTRACTDemand Analysis For Bananas In Denpasar CityThis study aims at finding out factors influencing demand for bananas andcalculating price, income and cross elasticies of demand for bananas in Denpasar. Thestudy focuses on household consumers in Denpasar City including 100 respondents.Data were analyzed using multiple linear regression considering economic,econometrics and statistics criteria.Based on the linear regression analysis, the demand model for bananas inDenpasar is lnY = -43,156 -0,139 lnX1 -0,600 lnX2 -0,378 lnX3 +5,896 lnX4 +0,776lnX5 +3,365 lnX6 +0,418 lnX7 +0,548 lnD. All independent variables aresimultaneously significant affecting demand for bananas in Denpasar. Partially, pricesof zalacca, rambutan, total income, number of household members, and purpose ofpurchasing significantly affecting demand for bananas. Meanwhile, price of bananas,price of oranges, and price of mangoes do not have significant effect on demand forbananas. Price elasticity of demand for bananas shows an inelastic figure (e<1),implying that demand for bananas is not responsive to the price changes. A positive signin the value of the income elasticity indicates that banana is a normal good. Sign of thecross-price elasticity of oranges and mango prices was negative, referring that thesefruits are complementary to bananas. On the other hand, cross-price elasticities ofzalacca and rambutan are positive, meaning that zalacca and rambutan are substitutecommodities to bananas.Keywords: demand for bananas, regression, elasticity, household, Denpasar

scholarly journals Elastisitas Permintaan Beras Organik Di Kabupaten Hulu Sungai Utara

2019 ◽  
Vol 9 (1) ◽  
pp. 681-687
Author(s):  
Muhammad Zaini ◽  
Miranda Romaully Br Sitanggang ◽  
Rum Van Royensyah
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Data Collection ◽  
Price Elasticity ◽  
Income Elasticity ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Education Level ◽  
Elasticity Of Demand ◽  
Organic Rice

       This study is aimed to determine the factors that influence the demand of organic rice and its elasticity in Hulu Sungai Utara. This research was conducted in Amuntai City.  Data collection was carried out from October 2018 to January 2019. The analysis us is multiple linear regression analysis from the results of calculations using the regression equation Y = 2.564 + 0.002 (X1) + 1.025 (X2) - 0.223 (X3) - 1,511 (X4) + 0.196 (X5) + 0.003 (X6). The results of the analysis for regression obtained F-count 2.672 > F-table 2.53 thus the hypothesis which states that the variable of education level, income, tastes / habits, number of dependents, price of organic rice, and prices of other goods (non-organic rice) have an effect simultaneously to the demand for organic rice. While significantly obtain the results of t test where the value of t-calculation is 2.460 > t-table 1.713.  The elasticity of demand for static models is based on price elasticity, the price of organic rice is elastic (7.32 > 1). Based on cross elasticity, the price of other goods (organic rice) is elastic (5.27 > 1). Based on income elasticity, respondents' income is elastic (702,615 > 1).

scholarly journals TOURISM DEMAND MODELING: PRICE AND INCOME ELASTICITY

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
A.H.G Kusumah
Keyword(s):  
European Union ◽  
Price Elasticity ◽  
Income Elasticity ◽  
Tourism Demand ◽  
Demand Model ◽  
Demand Modeling ◽  
Elasticity Of Demand ◽  
Price Elasticity Of Demand ◽  
Income Elasticity Of Demand

This paper provides a tourism demand model that estimates the price elasticity of demand and income elasticity of demand in Australia, European Union (EU), and USA. The results show that Australia and EU tourists markets are price elastic, while USA market is slightly price inelastic. It indicates that both Australia and EU tourists markets are sensitive to the tourism price while USA market is not. The study also found that the income elasticity of demand from the three markets is relatively income inelastic. In other words, tourism demand in the three markets is unresponsive to a change in income.Keywords: Tourism Demand, Price ElasticityThis paper provides a tourism demand model that estimates the price elasticity of demand and income elasticity of demand in Australia, European Union (EU), and USA. The results show that Australia and EU tourists markets are price elastic, while USA market is slightly price inelastic. It indicates that both Australia and EU tourists markets are sensitive to the tourism price while USA market is not. The study also found that the income elasticity of demand from the three markets is relatively income inelastic. In other words, tourism demand in the three markets is unresponsive to a change in income.

Correlation between FA and ADC, number and length of the periprostatic neurovascular fibers

2021 ◽  
pp. 039156032110637
Author(s):  
Valerio Di Paola ◽  
Angelo Totaro ◽  
Giacomo Avesani ◽  
Benedetta Gui ◽  
Andrea Boni ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Negative Correlation ◽  
Multivariate Regression ◽  
Linear Regression Analysis ◽  
Multivariate Linear Regression ◽  
Multivariate Linear Regression Analysis ◽  
Independent Variables ◽  
Fiber Tracts ◽  
Good Agreement

Purpose: Our aim was to explore the relation between FA and ADC, number and length of the periprostatic neurovascular fibers (PNF) by means of 1.5 T Diffusion Tensor Imaging (DTI) imaging through a multivariate linear regression analysis model. Methods: For this retrospective study, 56 patients (mean age 63.5 years), who underwent 1.5-T prostate MRI, including DTI, were enrolled between October 2014 and December 2018. Multivariate regression analysis was performed to evaluate the statistically significant correlation between FA values (dependent variable) and ADC, the number and the length of PNF (independent variables), if p-value <0.05. A value of 0.5 indicated poor agreement; 0.5–0.75, moderate agreement; 0.75–0.9, good agreement; 0.61–0.80, good agreement; and 0.9–1.00, excellent agreement. Results: The overall fit of the multivariate regression model was excellent, with R2 value of 0.9445 ( R2 adjusted 0.9412; p < 0.0001). Multivariate linear regression analysis showed a statistically significant correlation ( p < 0.05) for all the three independent variables. The r partial value was −0.9612 for ADC values ( p < 0.0001), suggesting a strong negative correlation, 0.4317 for the number of fiber tracts ( p < 0.001), suggesting a moderate positive correlation, and −0.306 for the length of the fiber tracts ( p < 0.05), suggesting a weak negative correlation. Conclusions: Our multivariate linear regression model has demonstrated a statistically significant correlation between FA values of PNF with other DTI parameters, in particular with ADC.

scholarly journals ANALISIS PERMINTAAN KEDELAI DI INDONESIA

2017 ◽  
Vol 12 (1) ◽  
pp. 42
Author(s):  
Septi Rostika Anjani ◽  
Dwidjono Hadi Darwanto ◽  
Jangkung Handoyo Mulyo
Keyword(s):  
Regression Analysis ◽  
Capita Income ◽  
Income Elasticity ◽  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Per Capita Income ◽  
Elasticity Of Demand ◽  
Per Capita ◽  
Income Elasticity Of Demand

This study aims to analyze the factors that influence the demand of soybean in Indonesia. The research method uses descriptive analysis of secondary data which includes the price of imported soybeans, the price of chicken, per capita  income,  the rate of inflation and import tariff policy  year period 1980-2013 which sourced from FAO  and  other  sources.  Estimation  of  demand  function  using  multiple  linear regression  analysis  were  transformed  in  the  form  of  natural  logarithm.  Regression analysis showed that soybean demand in Indonesia was influenced partially by prices of chicken, per capita income, and the rate of inflation. The price elasticity of demand of soybean in Indonesia is inelastic, that is equal 0,22. While the income elasticity of demand  for  soybeans  is  positive  which  means  that  soy  is  a  staple  item  for  the Indonesian people.

scholarly journals The existence of soybean farmers and market in Solok regency

2018 ◽  
Author(s):  
Hasdi Aimon ◽  
Melti Roza Adry ◽  
Elida
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Marital Status ◽  
Multiple Linear Regression ◽  
Consumer Preferences ◽  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Household Members ◽  
Inductive Analysis

This study aims to look at the existence of soybean farmers and markets in Solok Regency. This study was conducted in Solok Regency to 200 households. This study was analyzed using descriptive analysis that aims to see the level of consumer preferences to processed soy products in Solok Regency. Furthermore, inductive analysis was analyzed using multiple linear regression analysis with OLS method that aims to look at the determinants of the demand for processed soy products in Solok Regency. The study shows that (1) the processed soy products most in demand by the society in Solok Regency are tofu and tempeh. (2) The number of household members, education of wife and job sector of husband affect significantly on the demand for tempeh in Solok Regency, while income, marital status, education of husband and job sector of wife do not affect significantly on the demand for tempeh in Solok Regency. (3). The number of household members and job sector of husband affect significantly on the demand for tofu in Solok Regency, while income, marital status, education of husband, education of wife and job sector of wife do not affect significantly on the demand for tofu in Solok Regency.

scholarly journals Comparison of muscle quality and functional capacity between Japanese and Brazilian older individuals

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243589
Author(s):  
Hiroshi Akima ◽  
Akito Yoshiko ◽  
Régis Radaelli ◽  
Madoka Ogawa ◽  
Kaori Shimizu ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Muscle Quality ◽  
Older Individuals ◽  
Stepwise Multiple Linear Regression ◽  
Independent Variables

Muscle quality is well-known to decrease with aging and is a risk factor for metabolic abnormalities. However, there is a lack of information on race-associated differences in muscle quality and other neuromuscular features related to functional performance. This study aimed to compare muscle quality, function, and morphological characteristics in Japanese and Brazilian older individuals. Eighty-four participants aged 65–87 years were enrolled in the study (42 Japanese: 23 men, 19 women, mean age 70.4 years; 42 Brazilians: 23 men, 19 women, mean age 70.8 years). Echo intensity (EI) and muscle thickness (MT) of the quadriceps femoris were measured using B-mode ultrasonography. A stepwise multiple linear regression analysis with EI as a dependent variable revealed that MT was a significant variable for Japanese participants (R2 = 0.424, P = 0.001), while MT and subcutaneous adipose tissue (SCAT) thickness were significant variables for Brazilian participants (R2 = 0.490, P = 0.001). A second stepwise multiple linear regression analysis was performed after excluding MT and SCAT thickness from the independent variables. Sex and age for Japanese participants (R2 = 0.381, P = 0.001) and lean body mass and body mass index for Brazilian participants (R2 = 0.385, P = 0.001) were identified as significant independent variables. The present results suggest that MT is closely correlated with muscle quality in Japanese and Brazilian older individuals. Increases in muscle size may induce decreases in intramuscular adipose tissue and/or connective tissues, which are beneficial for reducing the risks of metabolic impairments in Japanese and Brazilian older individuals.

scholarly journals The Impact of Leadership, Motivation and Discipline on Employee Performance (a Study on Employees of PT Surabaya Marine)

2021 ◽  
Author(s):  
Eva Trisnawati Chumairoh ◽  
Trianggoro Wiradinata
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Employee Performance ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Independent Variables ◽  
Leadership Motivation ◽  
The Impact

This purpose of this study was to determine the effect of leadership, motivation and discipline on employee performance. The independent variables were leadership (X1), motivation (X1) and discipline (X3). The dependent variable was employee performance (Y). This was explanatory research with a quantitative approach. The study was conducted at PT Surabaya Marine with employees. Data analysis was carried out through multiple linear regression analysis with the F test and t test. Employee performance was strongly influenced by leadership, motivation and discipline. Keywords: leadership, motivation, discipline, employee performance

scholarly journals Price elasticity of demand for cigarettes in Bosnia and Herzegovina: microdata analysis

2020 ◽  
Vol 29 (Suppl 5) ◽  
pp. s304-s309
Author(s):  
Dragan Gligorić ◽  
Anđela Pepić ◽  
Saša Petković ◽  
Jovo Ateljević ◽  
Borislav Vukojević
Keyword(s):  
Bosnia And Herzegovina ◽  
Price Elasticity ◽  
Demand Model ◽  
Middle Income ◽  
Excise Tax ◽  
Middle Income Countries ◽  
Elasticity Of Demand ◽  
Price Elasticity Of Demand ◽  
Main Driver ◽  
Cigarette Prices

BackgroundBosnia and Herzegovina (B&H) is among the top 10 countries in the world in terms of number of smokers. The cigarette prices in B&H are under a direct impact of state excise tax policy. The specific excise on cigarettes was introduced in B&H in 2009. Since then it has been increasing every year thus being the main driver of cigarette prices growth.MethodsIn this paper we estimate price elasticity of demand for cigarettes following Deaton demand model and apply it on microdata obtained from the Household Budget Surveys in B&H conducted in 2011 and 2015. Deaton model uses within-cluster information to estimate total expenditure elasticities and then uses between-cluster information to estimate price elasticities. For B&H, the cluster is defined as a municipality × in the year t. Our sample contains 14 252 households, divided into 267 clusters.ResultsOur results show that the price elasticity is statistically significant and amounts to −1.366. This means that if cigarette prices in B&H are increased by 10%, the demand for cigarettes would decrease by 13.66%.ConclusionsWe found a negative price elasticity of demand for cigarettes of −1.366. These results of the econometric estimate of elasticity of demand are more elastic compared with the results of similar surveys carried out on the sample of low and middle-income countries. It demonstrates that the demand for cigarettes responds strongly to the price increase.

A Mathematical Comparison of the Lachance - Traill Matrix Correction Procedure with Statistical Multiple Linear Regression Analysis in XRF Applications

1992 ◽  
Vol 36 ◽  
pp. 1-10
Author(s):  
Anthony J. Klimasara
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Linear Regression Model ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Model ◽  
Mathematical Meaning ◽  
Matrix Correction ◽  
Independent Variables ◽  
Xrf Analysis

AbstractIt will be shown that the Lachance-Traill XRF matrix correction equations can be derived from the statistical multiple linear regression model. By selecting and properly transforming the independent variables and then applying the statistical multiple linear regression model, the following form of the matrix correction equation is obtained:Furthermore, it will be shown that the Lachance-Traill influence coefficients have a deeper mathematical meaning. They can be related to the multiple regression coefficients of the transformed system:Finally, it will be proposed that the Lachance-Traill model is equivalent to the statistical multiple linear regression model with the transformed independent variables. Knowing these facts will simplify correction subroutines in Quantitative/Empirical XRF Analysis programs. These mathematical facts have already been implemented and presented in a paper: “Automated Quantitative XRF Analysis Software in Quality Control Applications” (Pacific-International Congress on X-ray Analytical Methods, Hawaii, 1991).This demonstrates that the Lachance-Traill model has a strong mathematical foundation and is naturally justified mathematically.

scholarly journals What Determines Murabahah Margin Income? Evidence from Islamic Commercial Banks in Indonesia

2021 ◽  
Vol 7 (1) ◽  
pp. 22
Author(s):  
Ananda Puteri Wahyuni ◽  
Ratna Mulyany ◽  
Zata Hulwani Zuhri
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Central Bank ◽  
Multiple Linear Regression ◽  
Commercial Banks ◽  
Sampling Method ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Operating Income ◽  
Independent Variables

This study aims to examine factors that influence Murabahah margin income. Spefically it investigates the effect of the Central Bank of Indonesia Rate (BI Rate), Operating Expenses to Operating Income (OEOI), Non-Performing Financing (NPF), and wadiah savings on Murabahah margin income at Islamic Commercial Banks in Indonesia. The method used in this study is quantitative by using the multiple linear regression analysis to test the variables. 12 Islamic Commercial Banks were selected as the sample using a purposive sampling method. With 60 data observations for 5 years, the findings indicate that all the independent variables simultaneously affect the dependent variable. Partially, BI Rate does not affect Murabahah margin income, while in contrast, Operating Expenses to Operating Income (OEOI), Non-Performing Financing (NPF), and wadiah savings affect the Murabahah margin income.

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