scholarly journals Homelessness and Unemployment During the Economic Recession: The Case of the City of Girona

2018 ◽  
Vol 14 (13) ◽  
pp. 59
Author(s):  
Fran Calvo ◽  
Xavier Carbonell ◽  
Marc Badia
Keyword(s):  
Linear Regression ◽  
Predictor Variable ◽  
Economic Recession ◽  
Predictor Variables ◽  
Structural Factors ◽  
Simple Linear Regression ◽  
Total Rate ◽  
Correlation Tests ◽  
The Impact ◽  
The City

Although the research suggests that the main causes of homelessness are classified in individual and structural factors, there are few scientific articles which evaluate the impact of structural factors such as unemployment during periods of economic recession. The objective of this study is to compare the evolution of the total rate of homelessness with the total rate of unemployment in the city of Girona (Catalonia) during the economical recession (2006-2016) and to determine if unemployment is a predictive factor of homelessness. This is the first study with a Catalan sample comparing unemployment and homelessness. The design was longitudinal, retrospective and observational. The correlation tests between unemployment and homelessness indicated strong connections in the combination of the sample (r = .914, p <.001), men (r = .924, p <.001), and women (r = .716, p = 0.013). The results of the different models of simple linear regression used to determine the predictor variables of homelessness indicate that the rise of global unemployment is a predictor variable of the rise of global homelessness (ß = 2.17, p = .002) and male homelessness (ß = .82, p <.001). However, it does not predict specific female homelessness (ß = .88, p =.68).

scholarly journals The Perception and Attitudes Towards City Garbage Management: A First Analysis

2017 ◽  
Vol 3 (1) ◽  
pp. 75
Author(s):  
Francesco Ceresia ◽  
Rosa Marìa Molina Moreno ◽  
Ángel Solanes Puchol
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Predictor Variables ◽  
Survey Questionnaire ◽  
Simple Linear Regression ◽  
Dependent Variables ◽  
The City ◽  
Management Issues

The main aim of this paper is to to explore the perception and attitude of people toward an important issue like the City Garbage Management. A new Survey Questionnaire to measure the perception and attitudes towards city garbage management has been developed by the Authors, in order to realize a very first analysis of compatibility of the Comprehensive Action Determination Model - CADM (Klöckner, 2013) with City Garbage Management issues. To test the application of the CADM model to City Garbage Management, a simple linear regression was calculated to predict the dependent variables based on predictor variables according the CADM model. The linear regression analysis shows a first confirmation of the CADM model applied to the perception and attitudes towards city garbage management.

scholarly journals The Perception and Attitudes Towards City Garbage Management: A First Analysis

2017 ◽  
Vol 7 (1) ◽  
pp. 75 ◽  
Author(s):  
Francesco Ceresia ◽  
Rosa Marìa Molina Moreno ◽  
Ángel Solanes Puchol
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Predictor Variables ◽  
Survey Questionnaire ◽  
Simple Linear Regression ◽  
Dependent Variables ◽  
The City ◽  
Management Issues

The main aim of this paper is to to explore the perception and attitude of people toward an important issue like the City Garbage Management. A new Survey Questionnaire to measure the perception and attitudes towards city garbage management has been developed by the Authors, in order to realize a very first analysis of compatibility of the Comprehensive Action Determination Model - CADM (Klöckner, 2013) with City Garbage Management issues. To test the application of the CADM model to City Garbage Management, a simple linear regression was calculated to predict the dependent variables based on predictor variables according the CADM model. The linear regression analysis shows a first confirmation of the CADM model applied to the perception and attitudes towards city garbage management.

scholarly journals The Perception and Attitudes Towards City Garbage Management: A First Analysis

2017 ◽  
Vol 3 (1) ◽  
pp. 75
Author(s):  
Francesco Ceresia ◽  
Rosa Marìa Molina Moreno ◽  
Ángel Solanes Puchol
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Predictor Variables ◽  
Survey Questionnaire ◽  
Simple Linear Regression ◽  
Dependent Variables ◽  
The City ◽  
Management Issues

The main aim of this paper is to to explore the perception and attitude of people toward an important issue like the City Garbage Management. A new Survey Questionnaire to measure the perception and attitudes towards city garbage management has been developed by the Authors, in order to realize a very first analysis of compatibility of the Comprehensive Action Determination Model - CADM (Klöckner, 2013) with City Garbage Management issues. To test the application of the CADM model to City Garbage Management, a simple linear regression was calculated to predict the dependent variables based on predictor variables according the CADM model. The linear regression analysis shows a first confirmation of the CADM model applied to the perception and attitudes towards city garbage management.

PENGARUH KUALITAS PRODUK DAN KUALITAS LAYANAN TERHADAP KEPUASAN PELANGGAN

2017 ◽  
Vol 5 (3) ◽  
Author(s):  
Ismail Razak, SE., MS. ◽  
Nirmala Putri Sari
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Product Quality ◽  
Sampling Method ◽  
Primary Data ◽  
Analysis Method ◽  
Simple Linear Regression ◽  
The City

The aim of this study was to analize the effects of product quality and service quality on the customer satisfaction. This study took place in the City of Bekasi and objects in this study are all customer who use the Matrass GM-9000. Primary data was obtained from customers of Matrass GM-9000 in Bekasi City through admission filling of questionnaire by using scale of Likert. The respondent of this study was chosen through accidental sampling method, and data analysis method was simple linear regression and multiple linear regression. The results of this study indicated that product quality and service quality positively and significant influenced the customer satisfaction

scholarly journals DAMPAK SISTEM PEMBAYARAN SEWA KENDARAAN TRUCKING TERHADAP KEGIATAN OPERASIONAL PERUM DAMRI LOGISTIK

LOGISTIK ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 55-67
Author(s):  
Sylvira Ananda Azwar ◽  
Kencana Verawati ◽  
Meliana Safitri ◽  
Anthony Costa
Keyword(s):  
Linear Regression ◽  
Data Collection ◽  
Relevant Information ◽  
Simple Linear Regression ◽  
Statistical Data Analysis ◽  
Regression Test ◽  
Correlation Tests ◽  
Operational Activities ◽  
The Relationship ◽  
Regression Tests

This Research aims to find out the causes and impacts caused by delays in payment of trucking vehicle rentals at Perum DAMRI Logistik, especially on the company's operational activities. Data collection was carried out in 3 divisions in Perum DAMRI Logistics, namely the operational division, the financial division and the engineering division. Data collection was done by interviewing the staff on duty and making observations and observations while in the field. The data obtained is then analyzed and elaborated so as to form a relevant information. In addition to describing the results of interviews, there are some data that are processed using statistical analysis using correlation tests and simple linear regression tests. The statistical data analysis was used to determine the relationship between vehicle rental payments and operational activities and to find out what percentage of the effect was obtained from the two variables. The results of the correlation test using SPSS statistic 25 which shows that vehicle rental payments and operational activities have a positive relationship, the results of a simple linear regression test get the equation Y = 200534,257 + 0.659X. The value of R square is 0.559.

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 Pengaruh Dukungan Supervisor dan Pemberdayaan Terhadap Organizational Citizenship Behavior

2014 ◽  
Vol 5 (1) ◽  
pp. 158
Author(s):  
Tinjung Desy Nursanti ◽  
Aida Dwi Anissa
Keyword(s):  
Linear Regression ◽  
Organizational Citizenship ◽  
Organizational Citizenship Behavior ◽  
Primary Data ◽  
Citizenship Behavior ◽  
Survey Method ◽  
Linear Regression Method ◽  
Simple Linear Regression ◽  
Multiple Linear Regression Method ◽  
The Impact

Study aims to determine and obtain a clear picture of supportive supervisor, empowerment, and organizational citizenship behavior; and to determine the impact of supportive supervisor and empowerment towards organizational citizenship behavior of employees in PT Setia Makmur Cemerlang. Research used explanatory survey method, while the sample was taken from employees of the company. Research instrument (questionnaires) was used as primary data collection to explain the causal relationship between supportive supervisor and empowerment on organizational citizenship behavior of employees in PT Setia Makmur Cemerlang. Analysis used simple linear regression and multiple linear regression method. Result of this study shows that there is significant influence between supportive supervisor and empowerment towards organizational citizenship behavior.

scholarly journals The impact of service quality on the viability of start-up businesses

2016 ◽  
Vol 13 (3) ◽  
pp. 518-522 ◽  
Author(s):  
Zeleke Worku
Keyword(s):  
South Africa ◽  
Small Businesses ◽  
Panel Data Analysis ◽  
Hazard Ratio ◽  
Predictor Variables ◽  
Municipal Services ◽  
Validated Questionnaire ◽  
The Impact ◽  
The City

A 3-year long survey was conducted in the Tshwane geographical region of Gauteng Province in South Africa in order to identify and quantify key predictors of adequate municipal services that are routinely provided to customers who operate newly established small businesses in the City of Tshwane, Pretoria, South Africa. Data was collected by using a structured, pre-tested and validated questionnaire of study from a stratified random sample of size 1, 058 small businesses. The key objective of study was to assess the relationship between viability in small businesses and the provision of quality municipal services by the City of Tshwane. The study was conducted against the background of a high failure rate among newly established small businesses in the City of Tshwane. The study was conducted over a 3-year period (2012 to 2014). Data was collected monthly during the three-year period of study on socioeconomic variables that are known to affect the perception of business operators on the quality of municipal services to business operators and the general public. Statistical procedures such as cross-tab analyses, panel data analysis, Markov Chain Monte Carlo (MCMC) algorithms and Bayesian methods were used for estimating parameters. The study showed that there was a significant association between positive perception of business operators on the quality of municipal services provided to them and viability of businesses. The results showed that 87% of viable businesses were satisfied with the quality of routine municipal services that were provided to them by the City of Tshwane. The corresponding figure for non-viable businesses was only 14%. The viability of businesses was significantly influenced by 3 predictor variables. These predictor variables were: lack of capacity for fulfilling the business and entrepreneurial needs of newly established businesses [Hazard Ratio = 3.58; P=0.000; 95% C. I. = (1.45, 5.46)], inappropriate policy [Hazard Ratio = 3.19; P=0.000; 95% C. I. = (1.39, 5.28)], and lack of tailor made training programmes directed at newly established small businesses [Hazard Ratio = 2.89; P=0.000; 95% C. I. = (1.24, 4.77)], in a decreasing order of strength. Similar findings were obtained from the analyses of in-depth interviews.

scholarly journals Tourism to Socio Culture and Economy of Community in Panusupan Purbalingga

TRIKONOMIKA ◽  
2018 ◽  
Vol 17 (1) ◽  
pp. 14
Author(s):  
Donny Oktavian Syah ◽  
Agung Edi Rustanto
Keyword(s):  
Linear Regression ◽  
Random Sampling ◽  
Quantitative Method ◽  
Tourism Development ◽  
Sampling Technique ◽  
Simple Linear Regression ◽  
The Impact

The aim of this research is to study the impact of tourism development to socio-culture and economy of community in Panusupan village, Rembang, Purbalingga. The research, which was conducted in the end of 2016, uses descriptive quantitative method. Sampling technique used is random sampling technique. Survey was conducted to 100 respondents. The data are analyzied by using simple linear regression The result of this research shows that partially tourism development gives impact 31.5% to socio culture, 45.6% to socio economy whereas the impact of socio culture to socio economy is 32.0% .

scholarly journals Mitigating the Impact of Field and Image Registration Errors through Spatial Aggregation

2019 ◽  
Vol 11 (3) ◽  
pp. 222 ◽  
Author(s):  
John Hogland ◽  
David L.R. Affleck
Keyword(s):  
Linear Models ◽  
Predictor Variable ◽  
Spatial Aggregation ◽  
Predictor Variables ◽  
Remotely Sensed Data ◽  
Substantial Impact ◽  
Landscape Characteristics ◽  
Registration Errors ◽  
Spatial Registration ◽  
The Impact

Remotely sensed data are commonly used as predictor variables in spatially explicit models depicting landscape characteristics of interest (response) across broad extents, at relatively fine resolution. To create these models, variables are spatially registered to a known coordinate system and used to link responses with predictor variable values. Inherently, this linking process introduces measurement error into the response and predictors, which in the latter case causes attenuation bias. Through simulations, our findings indicate that the spatial correlation of response and predictor variables and their corresponding spatial registration (co-registration) errors can have a substantial impact on the bias and accuracy of linear models. Additionally, in this study we evaluate spatial aggregation as a mechanism to minimize the impact of co-registration errors, assess the impact of subsampling within the extent of sample units, and provide a technique that can be used to both determine the extent of an observational unit needed to minimize the impact of co-registration and quantify the amount of error potentially introduced into predictive models.

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