Multiple Linear Regression Analysis of the Impact of Corneal Epithelial Thickness on Refractive Error Post Corneal Refractive Surgery

2019 ◽  
Vol 207 ◽  
pp. 326-332
Author(s):  
Yuko Cho ◽  
Osamu Hieda ◽  
Koichi Wakimasu ◽  
Kiyoshi Yamamura ◽  
Toshihide Yamasaki ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Refractive Error ◽  
Refractive Surgery ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Corneal Epithelial ◽  
Corneal Refractive Surgery ◽  
Corneal Epithelial Thickness ◽  
The Impact

scholarly journals ANALISIS DAMPAK KEBERADAAN TOKO SWALAYAN TERHADAP OMZET PENJUALAN KIOS–KIOS KECIL DI KOTA MATARAM

2016 ◽  
Vol 5 (3) ◽  
Author(s):  
Basri Basri
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Product Diversification ◽  
Sampling Techniques ◽  
Study Guide ◽  
Validity And Reliability ◽  
The Impact ◽  
Level 2

The objective of the study was to evaluate the impact of stores existence toward sales turnover of stalls in Mataram city. Associative research design was adopted as the study guide. Purposive sampling techniques were used in which 100 copies of the research instrument were administered to stalls owner in Mataram city, out of which 100 copies of questionnaire were filled and returned. Test of validity and reliability, classical assumption test, and multiple linear regression analysis was used to analyse the data generated from respondents. The findings revealed that stores existence variable consisted of services, product diversification, price, and comfortable of consumer have significant influence on sales turnover of stalls at 0,05 level (2-tailed). The result of the research shows the variables negatively affecting sales turnover of stalls. Furthermore, price ranks the first follow by comfortable, product diversification, and services. This research will help the owner of stalls to understand and recognize the ranking of variables affecting sales turnover of stalls in Mataram city. Keywords:   Stores Existence, Stall, and Sales Turnover.

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 BIOLOGICAL ASSET: WHAT IS THE IMPACT ON AGRICULTURAL COMPANIES?

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Maulida Dwi Kartikasari ◽  
Dien Noviany Rahmatika ◽  
Sumarno Sumarno
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Firm Size ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Sample Selection ◽  
Multiple Linear Regression Analysis ◽  
Analysis Technique ◽  
The Impact

This study aims to determine the effect of managerial stock, biological asset intensity and firm size on the disclosure of biological assets in agricultural companies listed on the Indonesian stock exchange in 2016-2019. Population in this study were primary consumer goods sector companies in agricultural companies listed on the Indonesia Stock Exchange. Based on sample selection, there are 52 companies that required The data analysis technique used in this research was the multiple linear regression analysis.. Based on the multiple linear regression analysis, the results show biological asset intensity have a significance below 0.05, namely 0.006. This shows that biological asset intensity have a significant positive effect on biologiocal asset disclosure. However, the firm size and managerial ownership variables have a significance value above 5%. This means that the two variables do not have a significant effect on biological asset disclosure in agricultural companies listed on the Indonesia Stock Exchange in 2016-2019.

scholarly journals Analysis of Influence Financial Ratios on Sharia Banking Performance in Indonesia (Empirical Study at Bank Muamalat Indonesia, Bank Syariah Mandiri, and Bank Mega Syariah)

2016 ◽  
Vol 4 (2) ◽  
pp. 135
Author(s):  
Shulhah Nurullaily
Keyword(s):  
United States ◽  
Regression Analysis ◽  
Linear Regression ◽  
Empirical Study ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
The United States ◽  
Negative Effect ◽  
The Impact

This study aims to examine the performance of Sharia Banking in Indonesia after experiencing slowing growth due to the impact of the United States crisis in 2008/2009. Factors used to measure the performance of sharia banking represented by ROA are CAR, NPF, BOPO, NM and FDR. This research uses multiple linear regression analysis with sample of research of Bank Muamalat, Bank Mega Syariah, and Bank Syariah Mandiri with the period of research from the first quarter 2008 to the fourth quarter 2011. The result of this research that is NM and FDR have positive significant effect on ROA, while BOPO has a significant negative effect on ROA, CAR and NPF have no influence on ROA.

scholarly journals COVID 19: THE IMPACT OF DEMAND, SUPPLY, AND LABOR

2020 ◽  
Vol 4 (5) ◽  
pp. 60-73
Author(s):  
Hantono
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Data Collection ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Sampling Method ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Independent Variables ◽  
The Impact

This study aims to determine the effect of 1) demand, 2) supply, 3) labor, 4) covid 19. The sampling in this research was conducted by using a incidental sampling method. Methods of data collection through questionnaires that have been distributed to 100 respondents who have met criteria. With multiple linear regression analysis, it shows that the demand, supply, labor both partial and simultaneous have significant effect on covid 19. It can be concluded that mitigation of demand, supply, labor towards covid 19. The results of t test showed that demand is approved and indicates demand has great impact on affecting the covid 19, supply is not approved and indicates supply has less impact on affecting the covid 19, labor is approved and indicates labor has great impact on affecting the covid 19. The results of f test showed that both of the independent variables are simultaneously affecting the covid 19. The result of R Square of the regression model is 0.216 which shows that 21,6 % of mitigation of covid 19 can be explained by demand, supply, labor. Whereas, the 78,4% of covid 19 variable can be explained by other factors or variables which are not examined in this research.

scholarly journals The Impact of Understanding, Religiousity, and Faith towards the Intention to Pay Professional Zakat by Muzakki at Lembaga Amil Zakat Inisiatif Zakat Indonesia (LAZ-IZI) Balikpapan City, East Kalimantan

2018 ◽  
pp. 23
Author(s):  
Ana Mulyana ◽  
Sri Wahyuni
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Positive Impact ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Significance Level ◽  
East Kalimantan ◽  
Level Of Significance ◽  
The Impact

The dynamics of Muslim society affects the development of the discourse regarding Islamic sharia, including that of professional zakat, which is now enforced in the province of East Kalimantan, where many Muslim work as professionals. This research explored the impact of understanding, religiousity, and faith towards the intention to pay professional zakat by muzakki. The research was quantitative using the formula of multiple linear regression analysis. The data were collected through questionnaires from the sample of 94 muzakki, taken using Slovin formula, out of the population of 1,516 professional muzakki at Lembaga Amil Zakat Inisiatif Zakat Indonesia (LAZ-IZI) Balikpapan City, East Kalimantan. The findings revealed that understanding had a positive impact but not significant on the intention to pay professional zakat as indicated with t_(calculation ) 1,577 <t_tabel1,986 with the level of significance = 0,118 higher than α = 0,05; religiosity has a positive impact and significant on the intention to pay professional zakat as indicated with t_calculation 2,724>t_tabel1,986 with significance level = 0,008 lower than α = 0,05; and faith has a positive impact and significant on the intention to pay professional zakat as shown with t_(calculation ) 2,376>t_tabel=1,986 with significance level = 0,020 lower than α = 0,05. In sum, understanding has a positive but not significant impact on the intention to pay professional zakat, and both religiosity and faith have a positive and significant impact on the intention to pay professional zakat among professional muzakki in Balikpapan, East Kalimantan.

scholarly journals Pemodelan Tarikan Perjalanan Kawasan Perdagangan Jasa Skala Kecil di Jalan Sukun Raya Banyumanik

2020 ◽  
Vol 16 (1) ◽  
Author(s):  
Yudi Basuki ◽  
Sri Rahayu ◽  
Novia Windri Rahmawati
Keyword(s):  
Land Use ◽  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Service Area ◽  
Small Scale ◽  
Service Areas ◽  
The Impact

Banyumanik sub-district grows and develops caused by increases in population. Jalan Sukun Raya is a road commonly used by residents in Srondol Wetan Village to Jalan Setiabudi and vice versa. Sukun Raya Road Corridor is one of the local roads in Banyumanik Subdistrict.  The land use in this corridor is a commercial and service area, and settlement. Land use in the road corridor is a commercial and service area. Based on these problems, it is necessary to do trip attraction modeling. In this case, the trip attraction is needed in considering the impact of existing development, such as in the sub-center of the commercial and services area, housing, and offices. The aims of this article to develop the trip attraction model.Trip attraction modeling uses multiple linear regression analysis with the stepwise method on the commercial and service area and small scale on Jalan Sukun Raya, Banyumanik Subdistrict which is a sub-service area of the city of Semarang. Correlation and multiple linear regression analysis done based on data obtained from survey results. Data collection on Jalan Sukun Raya at peak times was carried out with field observations and interviews with established resource persons.The results showed that the sales income variable became the most influential variable on the trip attraction shown in the equation Y = 0.352 + 4.998E-7 X4. The resulting model is useful for estimating trip attraction in small-scale commercial and service areas.  

scholarly journals Gaya Kepemimpinan, Iklim Organisasi, Kompensasi dan Kedisiplinan Guru

2021 ◽  
Vol 18 (2) ◽  
pp. 254-274
Author(s):  
Muchsin Zuhad Al'asqolaini
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Organizational Climate ◽  
Multiple Linear Regression ◽  
Leadership Style ◽  
Quantitative Methods ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Test Reliability ◽  
The Impact

The purpose of this study was to determine the Impact of Leadership Style, Organizational Climate, and Compensation on the Discipline of Teachers in Mamba'ul Ihsan Ujungpangkah Gresik while partially and also simultaneously. Quantitative methods is used in this research with a 38 total population and also as sample. Saturated sampling techniques is used for method. The analysis in this research includes: validity test, reliability test, classic assumption test, multiple linear regression analysis, coefficient of determination analysis (R²), t test and F test. The results of multiple linear regression analysis obtained by the regression equation Y = 1.140 + 0.202X1 + 0.641X2 + 0.269X3 + e. To find out the strength of the relationship between variable X and Y, a statistical calculation using the correlation coefficient formula is obtained R Square = 0.627. This shows that all variable are have a strong relationship. The statistical test found that partially the influence of leadership style on teacher discipline obtained a figure of 2,078. and than organizational climate on the discipline of teachers obtained a figure of 5,191. The effect of compensation on the discipline of teachers obtained a figure of 2,857. the leadership style, organizational climate, and compensation simultaneously had a significant impact on discipline, this can be seen from the calculated F value of 19.072.

An Empirical Study of Consumer buying decision and Digital Marketing during COVID 19 Pandemic

2021 ◽  
Vol 9 (3) ◽  
Author(s):  
Dr. Richa Arora ◽  
Dr. Richa Nangia
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Research Paper ◽  
Study Data ◽  
Digital Marketing ◽  
Secondary Sources ◽  
The Impact

The aim behind this research paper is to understand Impact of Digital Marketing during COVID 19 Pandemic on consumer buying decision. This research paper also confers about the four variables of digital marketing which are affecting the buying decision of the consumer. Both primary and secondary data has been collected for the current study. Data from primary sources collected through personal interviews, discussions with industry leaders and structured questionnaire. The research was also carried out on secondary sources like business journals, newspapers, magazines, periodicals, etc.  SPSS 21 software has been used to analyse the data and linear regression analysis and multiple linear regression analysis techniques were used to determine the impact of each variable of digital marketing in influencing the buying decision making of the consumers.Findings of this research study determine the consistency of the independent variables, description of the product, pricing, marketing and promotions and distribution of the product on consumer buying decision. The following variables i.e.description of the product, marketing & promotions and distribution of the product has high significant impact on consumer buying decision.

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