Using Ranking and Multiple Linear Regression to Explore the Impact of Social Media Engagement on Student Performance

2016 ◽  
Author(s):  
Paul Stefan Popescu ◽  
Marian Cristian Mihaescu ◽  
Elvira Popescu ◽  
Mihai Mocanu
Keyword(s):  
Social Media ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Student Performance ◽  
Social Media Engagement ◽  
The Impact

PENGARUH KUALITAS PELAYANAN DAN KEPERCAYAAN TERHADAP LOYALITAS NASABAH PT BANK MANDIRI,Tbk CABANG JAKARTA KELAPA GADING BARAT

2015 ◽  
Vol 3 (3) ◽  
Author(s):  
Imam Wibowo ◽  
Santi Putri Ananda
Keyword(s):  
Linear Regression ◽  
Service Quality ◽  
Multiple Linear Regression ◽  
Analysis Tool ◽  
Positive Contribution ◽  
Homogeneous Population ◽  
Independent Variables ◽  
Research Population ◽  
The Impact

Purpose-To study the impact of the service quality and trust on customers loyalty of PT.Bank Mandiri,Tbk; Kelapa Gading Barat Branch. To improve the customers loyalty there are several factors that can influence them, such as service quality and trust. Methodology/approach-The research population was all customers PT.Bank Mandiri,Tbk;Kelapa Gading Barat Branch.According to the homogeneous population and based on the Gay and Diehl Theory, the samples taken were 50 people. Variables in this investigations consisted of: a).Independent Variables (exogenous): Service Quality (X1) and Trust (X2). b).The dependent variable (endogenous) Customers Loyalty (Y). Analysis tool being used is multiple linear regression which previously conducted validity and realiability. Findings-The result of investigations that service quality and trust simultaneously have a very strong contribution of 75,5% to the customers loyalty, and partially showed that service quality has significant and positive contribution to the customers loyalty of 64,8%. Partially, the trust variable has significant and positive contribution which amounted to 55,9% to the customers loyalty.

Análise da relação entre O3, NO e NO2 usando técnicas de regressão linear múltipla.

GEOgraphia ◽  
2018 ◽  
Vol 20 (43) ◽  
pp. 124
Author(s):  
Amaury De Souza ◽  
Priscilla V Ikefuti ◽  
Ana Paula Garcia ◽  
Debora A.S Santos ◽  
Soetania Oliveira
Keyword(s):  
Time Series ◽  
Linear Regression ◽  
Nitrogen Dioxide ◽  
Multiple Linear Regression ◽  
Quality Parameters ◽  
Environmental Pollutant ◽  
Environmental Research ◽  
Linear Regression Models ◽  
Mato Grosso ◽  
The Impact

Análise e previsão de parâmetros de qualidade do ar são tópicos importantes da pesquisa atmosférica e ambiental atual, devido ao impacto causado pela poluição do ar na saúde humana. Este estudo examina a transformação do dióxido de nitrogênio (NO2) em ozônio (O3) no ambiente urbano, usando o diagrama de séries temporais. Foram utilizados dados de concentração de poluentes ambientais e variáveis meteorológicas para prever a concentração de O3 na atmosfera. Foi testado o emprego de modelos de regressão linear múltipla como ferramenta para a predição da concentração de O3. Os resultados indicam que o valor da temperatura e a presença de NO2 influenciam na concentração de O3 em Campo Grande, capital do Estado do Mato Grosso do Sul. Palavras-chave: Ozônio. Dióxido de nitrogênio. Séries cronológicas. Regressões. ANALYSIS OF THE RELATIONSHIP BETWEEN O3, NO AND NO2 USING MULTIPLE LINEAR REGRESSION TECHNIQUES.Abstract: Analysis and prediction of air quality parameters are important topics of current atmospheric and environmental research due to the impact caused by air pollution on human health. This study examines the transformation of nitrogen dioxide (NO2) into ozone (O3) in the urban environment, using the time series diagram. Environmental pollutant concentration and meteorological variables were used to predict the O3 concentration in the atmosphere. The use of multiple linear regression models was tested as a tool to predict O3 concentration. The results indicate that the temperature value and the presence of NO2 influence the O3 concentration in Campo Grande, capital of the State of Mato Grosso do Sul.Keywords: Ozone. Nitrogen dioxide. Time series. Regressions. ANÁLISIS DE LA RELACIÓN ENTRE O3, NO Y NO2 UTILIZANDO MÚLTIPLES TÉCNICAS DE REGRESIÓN LINEAL.Resumen: Análisis y previsión de los parámetros de calidad del aire son temas importantes de la actual investigación de la atmósfera y el medio ambiente, debido al impacto de la contaminación atmosférica sobre la salud humana. Este estudio examina la transformación del dióxido de nitrógeno (NO2) en ozono (O3) en el entorno urbano, utilizando el diagrama de series de tiempo. Las concentraciones de los contaminantes ambientales de datos y variables climáticas fueron utilizadas para predecir la concentración de O3 en la atmósfera. El uso de múltiples modelos de regresión lineal como herramienta para predecir la concentración de O3 se puso a prueba. Los resultados indican que el valor de la temperatura y la presencia de NO2 influyen en la concentración de O3 en Campo Grande, capital del Estado de Mato Grosso do Sul.Palabras clave: Ozono. Dióxido de nitrógeno. Series de tiempo. Regresiones.

scholarly journals A139 IMPROVED QUALITY OF LIFE AFTER ENDOSCOPIC THERAPY FOR BARRETT’S ESOPHAGUS AND EARLY ESOPHAGEAL CANCER IN SOUTHERN ALBERTA

2021 ◽  
Vol 4 (Supplement_1) ◽  
pp. 125-126
Author(s):  
T Jeyalingam ◽  
M Woo ◽  
S E Congly ◽  
J David ◽  
P J Belletrutti ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Barrett’S Esophagus ◽  
Barrett's Esophagus ◽  
Endoscopic Therapy ◽  
Negative Impact ◽  
Older Age ◽  
The Impact

Abstract Background In patients with Barrett’s esophagus (BE), endoscopic therapy reduces the risk of progression to invasive esophageal adenocarcinoma (EAC). Data on the impact of endoscopic therapy on patient quality of life (QoL) is limited. Aims We aimed to assess: (1) change in QoL during the course of endoscopic therapy for BE, (2) factors which predict this change, (3) whether achieving complete remission of dysplasia (CRD) or intestinal metaplasia (CRIM) affect the degree of change. Methods We conducted a retrospective observational study using a prospectively maintained database of BE patients treated in Calgary, Alberta from 2013–2020 containing data on demographics, BE disease characteristics and therapeutics, QoL, and follow-up. QoL was determined prior to initiation of therapy and after each treatment session using a validated questionnaire. Descriptive statistics were calculated and change in QoL was compared using a Wilcoxon signed ranks test. Backwards multiple linear regression analysis was performed to determine predictors of change in QoL. Results Of 130 BE patients, 112 (86.1%) were male and 104 (80%) had dysplastic histology or intramucosal carcinoma on index endoscopy. Mean (SD) age was 65.6 (12.0) years. At time of analysis, 76 patients (58.5%) had completed endoscopic therapy, of whom 69 (90.8%) achieved CRIM; 54 patients (41.5%) were still undergoing treatment. There was significant improvement in all QoL measures during the treatment course except for “depression” (Table 1). Patients with CRIM or CRD had reductions in “sleep difficulty” and “negative impact on life” to a significantly greater degree vs patients not achieving CRIM (Δ sleep -0.45 vs 0.0, P=0.002; Δ negative impact -0.4 vs -0.05, P=0.014) or CRD (Δ sleep -0.40 vs +0.60, P=0.002; Δ negative impact -0.40 vs +0.20, P=0.04). Multiple linear regression revealed older age (B=-0.03, P=0.008) and fewer number of EMR sessions (B=0.254, P=0.008) were correlated with greater improvement in QoL. Conclusions Endoscopic therapy improves QoL in BE patients, especially in those achieving CRIM/CRD. Older age and fewer EMRs are correlated with greater improvement in QoL. These results further reinforce the role of endoscopic therapy as the first line treatment of BE and early EAC. Funding Agencies None

scholarly journals The Impact of Social Media & Messaging Application Utilization to the Learning Effectiveness (Higher Education Learning Effectiveness Through Social Media & Messaging Application)

2019 ◽  
Vol 9 (2) ◽  
pp. 2112-2116
Keyword(s):  
Social Media ◽  
Student Performance ◽  
Learning Process ◽  
Positive Impact ◽  
Research Result ◽  
Research Unit ◽  
Learning Effectiveness ◽  
Improve Student Performance ◽  
Media Messaging ◽  
The Impact

Indonesian internet users reached 143,26 Million in 2017, most of them used internet for accessing messaging and social media application. We argue that usage of messaging and social media can give positive impact to the learning process. Our research method using questionnaire to collect data, research conduct in Private University in Jakarta, and student as our research unit analysis. The second year’s research shows that optimization of social media application and messenger services to improve student performance can be done by knowing the most common social media application and messenger services that used by student, socialize the process to increase number of participation, utilization of features of the application, continuous improvement, and communication about method’s success story that can attracts lecturer and students to apply and keep improve the more effective method and learning process. This research result can be use by the lecturer or educator to improve education through social media application and messenger.

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

PENGARUH PROMOSI MEDIA SOSIAL DAN KUALITAS PELAYANAN TERHADAP KEPUTUSAN PEMBELIAN KONSUMEN PADA SOSMED CAFE ABDULLAH LUBIS MEDAN

2021 ◽  
pp. 1-15
Author(s):  
Clara Silvina Barus ◽  
Donalson Silalahi
Keyword(s):  
Social Media ◽  
Regression Analysis ◽  
Linear Regression ◽  
Service Quality ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Purchasing Decisions ◽  
Consumer Decisions ◽  
Analysis Technique

Abstract This study aims to determine and explain the effect of social media promotion and service quality on purchasing decisions. To achieve this goal, research was conducted at Social Media Café Abdullah Lubis using 100 people as respondents. Data were collected through questionnaires and the analysis technique used was multiple linear regression analysis. The results showed: First, social media promotion has a positive and significant effect on purchasing decisions. Second, service quality has a positive and significant effect on purchasing decisions. Third, service quality plays a greater role in increasing the sensitivity of consumer purchases when compared to social media promotion. Fourth, consumer characteristics are also important variables in increasing consumer decisions in buying products. Fifth, social media promotion and service quality are able to explain variations in purchasing decisions by 87.7 percent.

scholarly journals Differences in Risk Perception of Water Quality and Its Influencing Factors between Lay People and Factory Workers for Water Management in River Sosiani, Eldoret Municipality Kenya

Water ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2248
Author(s):  
Anne Wambui Mumbi ◽  
Tsunemi Watanabe
Keyword(s):  
Water Pollution ◽  
Risk Perception ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Risk Perceptions ◽  
Factory Workers ◽  
Bivariate Correlation ◽  
Correlation Analyses ◽  
Lay People ◽  
The Impact

This study evaluates the differences between risk predictors and risk perception regarding water pollution. Specifically, it focuses on the differences in risk perception between factory workers and lay people situated in textile industries near the River Sosiani in Eldoret, Kenya. The lay people are divided into two groups. The respondents living downstream are situated mostly in town centers and at the mid/lower parts of the river, and the respondents living upstream are mainly found at the upper parts of the River Sosiani. Data were obtained from 246 participants using questionnaires. Several factors influencing risk perception were selected to evaluate the degree of perceived risk amongst the groups. Descriptive statistics, mean score and correlation analyses, and multiple linear regression models were used to analyse the data. The one-way ANOVA results showed statistically different levels of risk perceptions amongst the groups. The partial and bivariate correlation analyses revealed the differences in scientific knowledge between respondents upstream and downstream. The multiple linear regression analysis showed that each group used different variables to determine risks in the region. In the factory group, 56.1% of the variance in risk perception is significantly predicted by sensorial factors, trust in the government’s capacity to manage water pollution and the impact of water pollution on human health. About 65.9% of the variance in risk perception of the downstream inhabitants is significantly predicted by sensorial factors, the possibility of industries generating water pollution, and previous experience with water pollution. For the respondents located upstream, age, sensorial factors, trust in the government and the possibility of being impacted by water pollution factors significantly predicted 37.05% of the variance in risk perception. These findings indicate that enhanced public participation in water governance amongst the residents of Eldoret town is needed, along with an understanding of the different characteristics of the respondents in the region during risk communication. This will boost awareness in the region and promote the adoption of better practices to minimise the adverse effects of water pollution faced by the region.

scholarly journals A linear regression pattern for electricity price forecasting in the Iberian electricity market

2019 ◽  
pp. 117-127
Author(s):  
Ângela Paula Ferreira ◽  
Jenice Gonçalves Ramos ◽  
Paula Odete Fernandes
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Model ◽  
Electricity Price ◽  
Price Forecasting ◽  
Electricity Prices ◽  
Market Participants ◽  
Electricity Price Forecasting ◽  
The Impact

The Iberian Market for Electricity resulted from a cooperation process developed by the Portuguese and Spanish administrations, aiming to promote the integration of the electrical systems of both countries. This common market consists of organized markets or power exchanges, and non-organised markets where bilateral over-the-counter trading takes place with or without brokers. Within this scenario, electricity price forecasts have become fundamental to the process of decision-making and strategy development by market participants. The unique characteristics of electricity prices such as non-stationarity, non-linearity and high volatility make this task very difficult. For this reason, instead of a simple time forecast, market participants are more interested in a causal forecast that is essential to estimate the uncertainty involved in the price. This work focuses on modelling the impact of various explanatory variables on the electricity price through a multiple linear regression analysis. The quality of the estimated models obtained validates the use of statistical or causal methods, such as the Multiple Linear Regression Model, as a plausible strategy to achieve causal forecasts of electricity prices in medium and long-term electricity price forecasting. From the evaluation of the electricity price forecasting for Portugal and Spain, in the year of 2017, the mean absolute percentage errors (MAPE) were 9.02% and 12.02%, respectively. In 2018, the MAPE, evaluated for 9 months, for Portugal and Spain equals 7.12% and 6.45%, respectively.

Do college athletics marketers convert social media growth into ticket sales?

2017 ◽  
Vol 18 (2) ◽  
pp. 212-227 ◽  
Author(s):  
Nels Popp ◽  
Chad McEvoy ◽  
Nicholas Watanabe
Keyword(s):  
Social Media ◽  
Regression Models ◽  
College Athletics ◽  
Percentage Increase ◽  
Sport Organizations ◽  
Single Measure ◽  
Content Type ◽  
Dependent Variables ◽  
Social Media Engagement ◽  
The Impact

Purpose The purpose of this paper is to examine the relationship between growth in social media engagement, as defined by annual percentage increase in Facebook Likes and Twitter Followers, of US college athletics departments and outcome metrics of attendance and ticket revenue. Design/methodology/approach Regression models were developed to determine the amount of variance in dependent variables (attendance and ticket revenue) could be explained by several independent variables, including team success, team history, conference affiliation, Facebook Likes, and Twitter Followers. Four years of data were collected for each variable. Findings The regression models predicted between 53 and 88 percent of the variance among dependent variables. Social media measures, however, were not statistically significant predictors of attendance or ticket revenue. Research limitations/implications The number of Facebook Likes and Twitter Followers were used as a proxy measure of social media engagement. While growth in Likes and Followers are a popular and convenient gauge of social media engagement, they represent a single measure of a multi-faceted construct. Also, data were limited to public university athletics departments, which are required to disclose annual ticket revenue. Findings may not be generalizable to other sport organizations. Practical implications The findings suggest growing social media interactions may not necessarily achieve marketing objectives related to increasing attendance or ticket revenue. Originality/value While numerous studies have examined the impact of social media on sport organizations, no prior studies have attempted to draw empirical connections between social media marketing efforts and revenue measures within sport organizations. This study represents the first to begin to examine this relationship.

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