Auswahl der wissenschaftlichen Literatur zum Thema „Regressionanalys“

This study aims to determine the effect of leadership style, motivation, salary, and incentiveson the performance of employees of PT. Cement Puger Jaya Raya Sentosa. The population inthis study were 238 employees. The total sample of 110 respondents was selected based onproportional sampling. The data analysis method in this study uses multiple linear regressionanalysis. The results showed that the leadership style variable had a significant effect onemployee performance motivational variables have no significant effect on employeeperformance; Employee salary variable significantly influences employee performance;Motivational variables significantly influence employee performance at PT.Cement PugerJaya Raya Sentosa. While the incentive variable has a significant negative effect on employeeperformance at PT.Cement Puger Jaya Raya Sentosa.

The present study investigated how knowledge sharing within teams is related to employees’perceptions of the work environment. Questionnaires measuring error management, leadermemberexchange (LMX), psychological safety, and knowledge sharing were administered to159 Dutch and Romanian employees from 51 teams in 8 organizations. Hierarchical regressionanalysis showed that error management and LMX were significantly related to knowledge sharingand that these relationships were mediated by psychological safety. The results for the Dutchand the Romanian samples were not significantly different. It was concluded that, to stimulateknowledge sharing, managers should create safety feelings within teams by being more lenientwhen subordinates make errors and by building trustful relationships with their subordinates

The purpose of this study is to see the Effect of Supervision toward EmployeePerformance at sub-district Office of Plakat Tinggi Musi Banyuasin Regency. Thetheoretical basis that the author used were Definition of Management, Definition ofHuman Resource Management, Definition of Supervision, Monitoring Indicators,Supervision Objectives, Types of Supervision, Engineering Supervision, PerformanceDefinition, Performance Indicators, Performance Affecting Factors, PerformanceAssessment, Objectives and Benefits of Assessment Performance, and PerformanceAppraisal Criteria. Dependent variable used in this research was Employee Performanceand independent variable was supervision. Populations and samples in this study were30 employees. The author used data collection techniques by using questionnaires,documentation and observation. Data analysis techniques used simple linear regressionanalysis. This study found that Supervision had a positive and significant influencetoward Employees Performance at the Sub-district office of Plakat Tinggi.

The purpose of this study is to see the Effect of Supervision toward EmployeePerformance at sub-district Office of Plakat Tinggi Musi Banyuasin Regency. Thetheoretical basis that the author used were Definition of Management, Definition ofHuman Resource Management, Definition of Supervision, Monitoring Indicators,Supervision Objectives, Types of Supervision, Engineering Supervision, PerformanceDefinition, Performance Indicators, Performance Affecting Factors, PerformanceAssessment, Objectives and Benefits of Assessment Performance, and PerformanceAppraisal Criteria. Dependent variable used in this research was Employee Performanceand independent variable was supervision. Populations and samples in this study were30 employees. The author used data collection techniques by using questionnaires,documentation and observation. Data analysis techniques used simple linear regressionanalysis. This study found that Supervision had a positive and significant influencetoward Employees Performance at the Sub-district office of Plakat Tinggi.

The purpose of this research is to analyze the effect of green intellectual capital on voluntary carbonemissions disclosure in IDX listed non financial companies in 2010-2014 with 40 companies samples.This research focuses on internal aspects side. This research methodology is multiple regressionanalysis. The results show that green intellectual capital have positive effect on voluntary carbonemissions disclosures. The results have contribution in disclosure of carbon emissions research foreducators and stakeholders. The novelty of this research is to analyze new variables such as greenintellectual capital. There are only 40 sample companiesbecause the disclosure of carbon emissions inIndonesia is still voluntary. Because samples only from Indonesia companies so the results cannot begeneralized in ASEAN countries, Forfuture research, researcher can use primary data to measuregreen intellectual capital so that it reflects the perception of the company.

This study aims to analyze the factors that influence the success of the accountinginformation system at PT. Kuncimas Niagatama Banyuwangi. The success of accountinginformation systems is influenced by Human Behavior in Organizations, ManagementSupport, Motivation and Training, Data Processing in the System, and Management andImplementation Process. This study used the primary data by total sample of thirty-fiveemployees and used the purposive sampling technique. The quality of the questionnaire wastested using the validity test and reliability test. Data analysis used multiple regressionanalysis, which includes the classic assumption test, t test and the coefficient of determinationThe results showed that Human Behavior in Organizations, Motivation and Training,Management and Implementation Process significantly influence the Success of AISImplementation. Only Management Support variable and Data Processing in the System haveno significant effect on the Success of AIS Implementation.

This article presents the results of comparison of attitudes towards position of astronomy in education of students from two countries: Bosnia and Herzegovina and Croatia. A convenience sample of 396 third and fourth year high school students was surveyed using an anonymous self-report questionnaire. Students showed a certain indifference to pursuing a career in astronomy. However, both correlation and regressionanalysis indicated that students manifested a high degree of interest in acquiring knowledge, experience and skills in astronomy. This bicountry study shows that students’ attitudes towards astronomy are similar considering the educational systems and position of astronomy in both Bosnia and Herzegovina and Croatia. The research results suggest that more students might consider astronomy for their scientific andprofessional career provided they had more opportunities for formal education in astronomy.

Environmental dynamics shown by the uncertain situation faced by the company. Uncertain situationdue to a catastrophic event is one of the factors that need to be anticipated by the company. This studyaimed to analyze the effect of dynamic marketing capabilities to the performance of the creativeindustries and the dynamic moderating influence of the environment on their relationship in situationsof disaster that struck the Yogyakarta area.This study was conducted with 103 respondents.Respondents include business entrepreneurs of creative industries in Yogyakarta, especially in smalland medium business group. Hypothesis testing is done by regression analysis and regressionanalysis moderation. The results showed only two of the four hypotheses were supported, wherestrategic flexibility significantly affect firm performance, while dynamic environment do not moderatethe relationship between the two.Keywords: Dynamic Marketing Capability, Market Orientation, Strategic Flexibility,Environmental Dynamism, and Firm Performance

This study aims to analyze the positive effect of institutional ownership on accounting conservatism, analyze the negative effect of debt covenants on accounting conservatism, and analyze the effect of growth opportunities on accounting conservatism.The population in this study are companies listed in BUMN in the 2016 – 2018 financial year. All BUMN companies listed on the IDX are used. Sampling was carried out using purposive sampling method and had certain criteria. The data collection method used is the documentation method from electronic media. The data was obtained from the internet (www.idx.go.id and company website). Data analysis using multiple linear regressionanalysis. The discussion that has been stated, the following conclusions can be drawn; 1). Institutional ownership structure has no effect on accounting conservatism. 2). Debtcovenants have no effect onbaccounting conservatism. 3). Gross opportunity has a significant positive effect on accounting conservatism

The aims of this study is to find out the effect of Profitability, Leverage, against Underpricingto firms at Intial Public Offering (IPO) on Indonesia Stock Exchange 2012-2016 which ismediated by Stock Liqudity. The population in this study are 105 companies at Intial PublicOffering (IPO) that listed on Indonesia Stock Exchange 2012-2016. After selection by using thepurposive sampling method in the population, obtained the results of the census of 71 firmswere through underpricing used as samples. The secondary data collection method that usedis documentation method and indirect observation. Data analysis technique used regressionanalysis of panel data. Based on the results of research, Based on the results of the research,partially profitability has a positive effect to stock liquidity. Leverage has negative and nosignificant effect to stock liquidity. Profitability, Leverage, and Stock Liquidity have a significantnegative effect on underpricing. And simultaneously, Profitability, Leverage, and Stock Liquidityhave an effect on Underpricing.Keywords: Profitabilty, Leverage, Stock Liquidity, Underpricing

För att vara väl förberedd inför eventuella framtida kapacitetsutmaningar i elnätet ville Umeå Energi Elnät fåen bättre bild på vad variationerna hos energiförbrukningen beror på. I detta examensarbete var målet att undersöka sambandet mellan elnätets effektbehov och utomhustemperaturen samt att ta fram en modell av elnätets effektbehov. För att få en tillräckligt bra modell behövdes fler faktorer som påverkar effektbehovet användas. I modellen som arbetet resulterade i användes förutom utomhustemperaturen även månad, veckodag och tid på dygnet som variabler för att bättre kunna förutsede variationer som finns hos energiförbrukningen. Under arbetets gång upptäcktes ytterligare två faktorer som senare blev en del av modellen på grund av att de hadeen stor påverkan på resultatet. Dessa faktorer var dels ettantal större energiförbrukare, dels en del elproduktioninom Umeå Energi Elnäts elnät.Metoden som användes för att utföra analyserna somkrävdes var linjär regressionsanalys. Det är en statistiskanalysmetod som använder förhållanden mellan olika variabler för att skapa den räta linje som bäst visar sambandet. Detta görs genom att hitta den linje där kvadraten av mätvärdenas avvikelse från regressionslinjen ärminsta möjliga. Till prediktionsmodellen användes multipel linjär regressionsanalys som har samma tillvägagångsätt men med fler variabler.Då utomhustemperaturens påverkan på effektbehovetinte är helt linjärt utan varierar beroende på hur kallt eller varmt det är samt att även de andra faktorernas påverkan varierade gav den multipla regressionsanalysendet bästa resultatet i form av en prediktionsmodell somförklarade ungefär 80% av variationerna hos effektbehovet.<br>To be well prepared for the future challenges with the capacity in power grid, Umeå Energi Elnät would like to have a better understanding of the variations in energyconsumption and the reasons why it appears. In this thesis, the aim was to investigate the relations between the outside temperature and the energy demands and createa model to explain the power requirements in the grid.To achieve an appropriate model several variables thathave an impact on the energy consumption need to beused. In the end version of the model, the main variableswere outdoor temperature, month, weekday, and time ofday to predict the variations in energy consumption.Along the work two more factors were discovered thathad a large effect on the results. To make the model evenmore accurate these factors, several energy producers,and some larger consumers in Umeå Energi Elnät powergrid need to be included.To accomplish the investigations liner regression analysis was used, which is a statistical analysis method usingthe relationship between different variables creating astraight line. This is done by finding by finding the straight line there the square of the of the deviation of themeasured values from the regression line is the smallestpossible. To make the prediction model multiple regression analysis was used. It has the same approach butwith more than one variable.Since the outdoor temperature did not impact the energyconsumption completely linear but vary, and becausethere are some other factors that have large impact, multiple regression analysis gave the best prediction model.It explained 80% of the variation in power demand

碩士<br>中國文化大學<br>國際企業管理學系碩士在職專班<br>104<br>In Taiwan, the following concept has already rooted in their mind. As an old saying goes, "He that has gold may buy land." This traditional concept facilitates the phenomenon that people buy land or real estate which also prospers the construction industry. The financial statement in all walks of life is complicated and the construction companies' are even more complicated. Then, the change of the related regulations may result in the difficulties of judging the information. In general, when the investors stress on the fundamental analysis while analyzing the investment strategy of stock market, they may take monthly sales revenue as proper index for measuring the company performance. This study focuses on whether monthly sales revenue serves as the proper reference for investors under the basis of stock price. Then, in accordance with the adoption of IFRSs, whether the difference of the definition or the conetent of listing revenues of the construction industry may affect the stock price movements. By using linear and quantile (nonlinear) regression analysis, we found the following empirical results: First, when it comes to the monthly revenue's influence on the stock price, the use of quantile (nonlinear) regression analysis is better than the linear regression analysis. In other words, before the adoption of IFRSs, it is more likely that revenue can directly affect the stock price. Second, after the adoption of IFRSs, by using consolidated revenue and completed contract method, may faithfully show the financial statements of the construction industry. In this case, revenue's impact on stock prices is relatively small which indicates that the quality of financial information after IFRSs is more robust. Third, therefore after IFRSs, to observe which financial variables affect the stock price, we need to refer to other financial factors to stand our point. That revenue affects the stock price is relatively limited. Fourth, after the adoption of IFRSs, the construction listed industry in Taiwan , its regular reporting is nearly consistent with the actual operation. This may reduce the construction industry using percentage of completion method, so as to decorate the book value and then affect the genuine stock price.