scholarly journals Сrowdfunding platforms as an example of innovation startup’s financial support

2021 ◽  
Vol 116 ◽  
pp. 00073
Author(s):  
Julia Akhmetova
Keyword(s):  
Economic Development ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Success Rate ◽  
Financial Support ◽  
Strategic Behavior ◽  
Government Subsidy ◽  
Theoretical Concepts ◽  
The Family ◽  
Performance Analyze

Financial support is very important in the innovative sphere, because it creates the basis of the whole economic development. There are several ways how this support can be organized: from the family money to government subsidy. This paper focused on a relatively new way how a startup as a small innovative business can gain finance - crowdfunding platforms. As a preparation for the analysis theoretical concepts of innovative startup investment were considered and the unique characteristics of crowdfunding market were examined. The purpose of the study is to underline main characteristic of startups as a way of financial innovation performance, analyze the determinants of crowdfunding platform’s effectiveness, define an optimal strategic behavior for a platform to accumulate greater amount of investment and increase the number of startups which achieve their financial goals. Analysis is based on the data from 105 crowdfunding platforms during last 3 year (from 2018 till 2020). As a result, based on the multiple linear regression an analysis was conducted which showed that age, platform type and scope are main characteristics of crowdfunding platform efficiency while commission type is not correlated with startup crowdfunding success rate.

scholarly journals THE EFFECT OF ENTREPRENEURSHIP EDUCATION AND FAMILY ENVIRONMENT ON INTERESTS ENTREPRENEURSHIP IN STUDENT OF THE FACULTY OF ECONOMICS, UNIVERSITY OF NGURAH RAI IN DENPASAR

2020 ◽  
Vol 1 (2) ◽  
pp. 158-166
Author(s):  
Ni Kadek Purnamawati ◽  
Ade Maharini Adiandari ◽  
Nyoman Dwika Ayu Amrita ◽  
Luh Putu Virra Indah Perdanawati
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Family Environment ◽  
Significant Influence ◽  
Random Sampling ◽  
Sampling Method ◽  
Sampling Technique ◽  
Entrepreneurship Education ◽  
Simple Random Sampling ◽  
The Family

This study aims to determine the effect of entrepreneurship education and family environment partially and simultaneously on the interest in entrepreneur in student of the Faculty of Economics, University of Ngurah Rai in Denpasar. The number of samples is determined by the Probability Sampling technique using the Simple Random Sampling method of 75 students in the sixth semester of the Faculty of Economics, University of Ngurah Rai in Denpasar. Analyzed by classical assumption, multiple linear regression analys, determination analys, simultaneous significant test (F-test) and partial significant test (T-test). The results showed that there was a positive and significant influence partially or simultaneously between entrepreneur education and the family environment towards the interest in entrepreneurship in students of the Faculty of Economics, University of Ngurah Rai in Denpasar.

Zur Bedeutung sportbezogener Orientierungs- und Verhaltensmuster in der Familie für das Sportengagement Jugendlicher

2016 ◽  
Vol 13 (3) ◽  
Author(s):  
Christelle Hayoz ◽  
Claudia Klostermann ◽  
Torsten Schlesinger ◽  
Siegfried Nagel
Keyword(s):  
Young People ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Qualitative Interviews ◽  
Drop Out ◽  
Behavioral Patterns ◽  
Socialization Theory ◽  
Organized Sports ◽  
Methodological Triangulation ◽  
The Family

SummaryYoung people differ widely in their sports behavior and show high drop-out rates from organized sports. One explanation from socialization theory refers to the transgenerational mediation of sports behavior and orientations toward sports within the family. The present study investigates the relevance of orientations toward sports and behavioral patterns within the family to young people’s sports behavior. Using methodological triangulation between multiple linear regression and qualitative interviews of young people between the ages of 15 and 20 (

scholarly journals PENGARUH INTENSITAS PENDAMPINGAN, PENDANAAN DAN LITERASI KEUANGAN TERHADAP STATUS KEBERHASILAN PROSES INKUBASI TENANT INKUBATOR BISNIS

2021 ◽  
pp. 681
Author(s):  
Ni Putu Yayuk Puspita Yanti ◽  
Made Heny Urmila Dewi
Keyword(s):  
Economic Development ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Financial Literacy ◽  
Primary Data ◽  
Business Incubator ◽  
Test Analysis ◽  
Analysis Technique ◽  
The Government

The purpose of this study was to analyze the effect of the intensity of mentoring, funding, and financial literacy simultaneously and partially on the success status of the business incubator tenant incubation process in Bali Province. This study uses primary data by distributing questionnaires to 97 business incubator tenants in Bali Province. The analysis technique used is multiple linear regression which is equipped with a classical assumption test. The results of the test analysis in this study indicate that simultaneously the intensity of mentoring, funding, and financial literacy has a positive and significant effect on the success status of the business incubator tenant incubation process in Bali Province. Partially, the intensity of mentoring and financial literacy has a positive and significant effect on the success status of the business incubator tenant incubation process in Bali Province, while partially funding has a negative and significant effect on the success status of business incubator tenants in Bali Province. The government is expected to develop superior local products from upstream to downstream as the basis for cooperative business and MSME, strengthening the synergy and orchestration of cooperative and MSME-based people's economic development with all ministries and all business stakeholders.

scholarly journals Pengaruh Inflasi Dan Pertumbuhan Ekonomi Terhadap Tingkat Pengangguran Di Indonesia Periode 2001-2017

2020 ◽  
Vol 9 (1) ◽  
pp. 26-34
Author(s):  
Rts. Ivo Tri Aulia ◽  
Siti Hodijah ◽  
Etik Umiyati
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Unemployment Rate ◽  
Secondary Data ◽  
Development Models ◽  
Development Policies ◽  
The Creation

The creation of jobs as a real impact of development policies that have been implemented in determining the success of economic development that occured in a country. The purpose of this study is to determine the effect of inflation and economic growth on the unemployment rate in Indonesia. The type of data used in this study is secondary data in the form 2001-2017 in Indonesia, with a method of multiple linear regression data analysis and analysis of development models. The results of the study with a significant level of 10% indicate that Simultaneously the variables of inflation and economic growth have a significant effect on the variable unemployment rate in Indonesia. In fact, economic growth variables have no significant effect on the unemployment rate while the inflation variable has a significant effect on the unemployment rate. R-square 0.280170, this means that the unemployment rate in the period 2001-2017 in Indonesia is influenced by inflation and economic growth while the rest is explained by other factors not discussed in this model. The results of the analysis in development show that the inflation and economic growth variables experience fluctuating developments.

scholarly journals Long-Range Prediction of the Shipping Season in Hudson Bay: A Statistical Approach

2007 ◽  
Vol 22 (5) ◽  
pp. 1063-1075 ◽  
Author(s):  
Adrienne Tivy ◽  
Bea Alt ◽  
Stephen Howell ◽  
Katherine Wilson ◽  
John Yackel
Keyword(s):  
Time Series ◽  
Linear Regression ◽  
Sea Ice ◽  
Multiple Linear Regression ◽  
Success Rate ◽  
Long Range ◽  
Low Frequency ◽  
Seasonal Forecasting ◽  
Hudson Bay ◽  
Physical Processes

Abstract Despite recent reductions in Arctic sea ice extent and the associated increase in both the recreational and commercial use of ice-infested waters, long-range prediction of operationally relevant sea ice parameters is an area of seasonal forecasting that has received little attention. Statistical methods that isolate and exploit empirical relationships between antecedent low-frequency climate variability and specific variables of interest are often used to solve seasonal forecasting problems. In this study, simple multiple linear regression (MLR) techniques are used to improve the skill of the seasonal (3-month lead) forecast of the breakup and clearing of sea ice along the shipping route through Hudson Bay that is issued each March by the Canadian Ice Service of Environment Canada. Using sea ice and climate data from 1972 to 2002, predictive MLR models are developed for the spring opening date of the shipping route and the latest expected opening date. A success rate of 77% over the 1972–2002 period for the opening date, from an MLR model that explains 76% of the variability in the original time series with a mean absolute error (MAE) of 0.38, is a marked improvement over the 48% success rate of the current analog methodology. The success rate of the model for the latest expected date is 87%; the modeled time series adequately represented interannual variability in the observed time series (r = 0.71) with a low MAE (MAE = 0.51). Results from a series of model diagnostics that include Monte Carlo simulations, cross validation, and analysis of residuals, suggest the final models are statistically valid and are not influenced by artificial skill. The main source of predictive skill in the model is winter low-frequency variability in North Atlantic sea surface temperatures and 500-mb geopotential heights; physical processes that may explain this link are presented. It is concluded that simple multiple linear regression techniques can be applied to generate use-specific seasonal forecasts of sea ice conditions and that the empirical knowledge gained in the model development may help elucidate or identify physical processes in the climate system.

scholarly journals PENGARUH FAKTOR SOSIAL TERHADAP KEPUTUSAN WISATAWAN DOMESTIK DALAM MEMILIH HOTEL BERBINTANG DI KAWASAN WISATA SENGIGI PULAU LOMBOK

2017 ◽  
Vol 6 (3) ◽  
Author(s):  
Suryantini Suryantini
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Reference Group ◽  
Family Role ◽  
Purposive Sampling ◽  
The Family ◽  
Sheraton Hotel ◽  
Family Variable ◽  
Group Variable ◽  
Group Family

This research is aimed at determining the effect of Reference Group, Family, Role and Status on the decision of Domestic Tourists in Choosing Tourist Hotel in Lombok.  This research is quantitative causality study. The population of this research are customers of Sheraton Hotel and Killa Hotel. The samples were 100 respondents selected through purposive sampling. The data were analyzed with multiple linear regression using SPSS program.The research showed that reference group variable had positive and significant effect on the decision of domestic tourists in choosing Tourist hotel in Lombok, the family variable had positive and significant effect on the decision of domestic tourists in choosing Tourist hotel in Lombok, the role and status variable had positive and significant effect on the decision of domestic tourists in choosing Tourist hotel in Lombok. Keywords:Reference Group, Family, Role and Status, Decision of Domestic Tourists

scholarly journals HUBUNGAN LINGKUNGAN KELUARGA TERHADAP KARAKTER DISIPLIN DAN PRESTASI BELAJAR SISWA DI MI AL FIRDAUS LASEM SIDAYU GRESIK

2020 ◽  
Vol 2 (1) ◽  
pp. 9
Author(s):  
Minahul Mubin
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Family Environment ◽  
Linear Regression Analysis ◽  
Regression Line ◽  
T Test ◽  
F Test ◽  
The Family ◽  
Character Building

This research is to find out 1. Relationship between Family Environment and Discipline Character and Student Learning Achievement at MI AL Firdaus Lasem Sidayu Gresik. 2. The relationship of learning discipline to the formation of character in students MI AL Firdaus Lasem Sidayu Gresik. This type of research is quantitative descriptive research. This study took the location at MI AL Firdaus Lasem Sidayu Gresik. Data collection techniques using a questionnaire technique. The data analysis technique used is multiple linear regression analysis, significance test of multiple linear regression (F test) and test the significance of the multiple linear regression coefficient (T test), In addition, the calculation of relative contributions and effective contributions is also carried out.The results of the regression analysis obtained the regression line equation: Y = 14,782 + 0,432X1 + 0,392X2. The equation shows that character building is influenced by the family environment and learning discipline. The conclusion of this research is 1. The family environment has a positive and significant effect on character building. Based on T test was obtained Tcount it > Ttabel, that is 6,342 > 1,980 and the value of the probability of significance < 0,05, that is 0,000. 2. Learning discipline has a positive and significant effect on character building. Based on F test noted that H0 rejected, becoause Fcount it > Ftabel, yaitu 49,342 > 3,072 and the value of the probability of significance < 0,05, that is 0,000. 3. Family environment variables make effective contributions 25,7%. Learning discipline variables make effective contributions 19,4%, so the total effective contribution is 45,1%, while 54,9% the rest is influenced by other variables not examined

scholarly journals PENERAPAN DAN FAKTOR-FAKTOR YANG MEMPENGARUHI GOOD AGRICULTURE PRACTICES (GAP) USAHATANI KOPI RAKYAT DI LERENG ARGOPURO KABUPATEN JEMBER

2020 ◽  
Vol 13 (2) ◽  
pp. 159
Author(s):  
Abdul Wakhid ◽  
Luh Putu Suciati
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Education Level ◽  
Test Results ◽  
Land Area ◽  
Price Perception ◽  
Independent Variables ◽  
The Family ◽  
Family Land ◽  
Coffee Farming

Aplication is expected to be effort to improve coffee farming in Panti District, Jember Regency is by implementing the people's coffee farming according to Good Agriculture Practices (GAP) guidelines. This study aims to determine the level of application of Good Agriculture Practices (GAP) of people's coffee farming, and determine the factors that influence. The analysis uses scoring analysis and multiple linear regression. The results showed 1) the level of application of Good Agriculture Practices (GAP) of coffee farming was 80.58 or suitable category 2) Adj R-Square value of 63.5%, variability in the level application of Good Agriculture Practices (GAP) of people's coffee farming explain by age, education level, family dependent, land area, intensity of smallholder, access farm information, and price perception. F test results obtained that all independent variables simultan have a significant effect on the level of implementation of Good Agriculture Practices (GAP) of people's coffee farming. T test results show that the dependents of the family, land area, access to farming information, and perception of coffee prices partially have a significant effect while the age, education level, and intensity of farmers' presence partially do not significantly influence the level of implementation of Good Agriculture Practices (GAP) of coffee farming people.

scholarly journals RAGAM PENDAPATAN RUMAH TANGGA DAN FAKTOR YANG MEMPENGARUHI: Studi kasus di Desa-Desa Sekitar Kawasan Taman Nasional Kerinci Seblat (TNKS) Kabupaten Lebong Provinsi Bengkulu

2014 ◽  
Vol 13 (2) ◽  
pp. 177-186
Author(s):  
Nola Windirah ◽  
Ketut Sukiyono ◽  
Septri Widiono
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Household Income ◽  
Agricultural Land ◽  
T Test ◽  
Primary Data ◽  
Analysis Method ◽  
Land Area ◽  
Determinant Factors ◽  
The Family

This research is aimed at exploring level of household income diversity based on agricultural land typology and examining factors that affect household income diversity in villages around TNKS, Regency of Lebong, Province of Bengkulu. This research uses secondary and primary data. Respondents of this research were determined randomly as much as 400 respondents in 20 villages. Analysis method diversity used are F test and t test to infestigate the differences of household income and multiple linear regression to examining the factors that affect the diversity of household income by applying and developing Minot. et al (2006) model. Result of this research showed that there are differences of household income diversity agricultural land typology, eventhing the existing  are not significant among typologies and the factors that affect the household income diversity are education of the head of the family, agricultural land area, and amount of main income household.Keywords: household income diversity, Determinant Factors, TNKS

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