scholarly journals A regression approach for prediction of Youtube views

Author(s):  
Lau Tian Rui ◽  
Zehan Afizah Afif ◽  
R. D. Rohmat Saedudin ◽  
Aida Mustapha ◽  
Nazim Razali

YouTube has grown to be the number one video streaming platform on Internet and home to millions of content creator around the globe. Predicting the potential amount of YouTube views has proven to be extremely important for helping content creator to understand what type of videos the audience prefers to watch. In this paper, we will be introducing two types of regression models for predicting the total number of views a YouTube video can get based on the statistic that are available to our disposal. The dataset we will be using are released by YouTube to the public. The accuracy of both models are then compared by evaluating the mean absolute error and relative absolute error taken from the result of our experiment. The results showed that Ordinary Least Square method is more capable as compared to the Online Gradient Descent Method in providing a more accurate output because the algorithm allows us to find a gradient that is close as possible to the dependent variables despite having an only above average prediction.

2021 ◽  
Vol 2 (5) ◽  
pp. 1608-1615
Author(s):  
Rahmat Hidayat ◽  
Rusiadi ◽  
Anwar Sanusi ◽  
Rahmat Sembiring

  Competition in financial companies makes each company increasingly improve its performance so that its goals can still be achieved. The main goal of a company is to get profits, to achieve these goals, management is required to make good planning. Likewise, management in a financial company has a goal, where the Debt Policy and Company Value will affect the company's management in achieving profits. This study aims to analyze as much as possible the effectiveness of profitability, dividend payout ratio, asset structure, Free Cash Flow, company size and sales growth and have an influence on the Debt Policy and Company Value. In this study, researchers used the OLS (Ordinary Least Square) method, the Panel Regression method and the Simultaneous / 2SLS method (Two Stage Least Square). Which aims to analyze the influence of independent variables on the dependent variables both separately and jointly and also see the influence of variables in the short and medium term.


2015 ◽  
Vol 5 (2) ◽  
pp. 1
Author(s):  
Miftahol Arifin

The purpose of this research is to analyze the influence of knowledge management on employee performance, analyze the effect of competence on employee performance, analyze the influence of motivation on employee performance). In this study, samples taken are structural employees PT.centris Kingdom Taxi Yogyakarta. The analysis tool in this study using multiple linear regression with Ordinary Least Square method (OLS). The conclusion of this study showed that the variables of knowledge management has a significant influence on employee performance, competence variables have an influence on employee performance, motivation variables have an influence on employee performance, The analysis showed that the variables of knowledge management, competence, motivation on employee performance.Keywords: knowledge management, competence, motivation, employee performance.


2018 ◽  
Vol 45 (11) ◽  
pp. 1550-1566
Author(s):  
Dharani Munusamy

Purpose The purpose of this paper is to examine the behavior of the stock market returns in the different days of the week and different months of the year in accordance with the Islamic calendar. Further, the study estimates the risk-adjusted returns to test the performance of the indices during the Ramadan and non-Ramadan days. Finally, the study investigates the impact of Ramadan on the returns and the volatility of the stock market indices in India. Design/methodology/approach Initially, the study applies the Ordinary Least Square method to test the day-of-the-week and the month-of-the-year effect of the common and Shariah indices. Next, the study employs the risk-adjusted measurement to examine the underperformance and over-performance of the indices for both the periods. Finally, the study estimates the GARCH (1,1) and GJR-GARCH (1,1) models to observe the impact of Ramadan on the returns and the volatility of the Shariah indices in India. Findings The study finds that an average return of the indices during the Ramadan days are higher than non-Ramadan days. Further, the average returns of the Shariah indices are significantly higher on Wednesday than other days of the week. In addition, the highest and significant mean returns and mean risk-adjusted returns of the indices during the Ramadan days are observed. Finally, the study finds an evidence of the Ramadan effect on the returns and volatility of the indices in India. Originality/value The study observes evidence that the Ramadan effect influences the Shariah indices, but not the common indices in the stock market of the non-Muslim countries. It indicates that the Ramadan creates the positive mood and emotions in the investors buying and selling activities. The study suggests that investors can buy the shares before Ramadan period and sell them during the Ramadan days to get an abnormal return in the emerging markets.


Author(s):  
Atayi Abraham Vincent ◽  

This research work address the positive effect of Agriculture on the manufacturing sector in Nigeria. The study made used of Ordinary Least Square Method estimation techniques. The findings showed that Agricultural output, government spending on agriculture, and real gross domestic product all have positive effects on the manufacturing sector. The effects is RGDP 66percent, AGRQ by 63%, and GOEXA by 96 percent. The study recommends among other things that government should allocate more resources to the Nigerian agricultural sector and ensure that the funds are judiciously use and that the government should also seek to strengthen its incentives for the manufacturing sector in order to promote increased industrial production and growth.


2017 ◽  
Vol 19 (2) ◽  
pp. 249
Author(s):  
Dwitya Aribawa

Industri kreatif menjadi competitive advantage tersendiri bagi Indonesia yang memiliki potensi berlimpah pada intellectual capital yang tersebar di seluruh pulau untuk memunculkan model bisnis yang inovatif dan membuka lapangan kerja baru. Sasaran dari penelitian ini adalah untuk mengidentifikasi dan menganalisis hubunga antara orientasi strategis (dimana pada penelitian ini terdiri dari orientasi pelanggan, orientasi pesaing dan orientasi biaya) dengan kemampuan inovasi berbasis layanan. Unit penelitian ini adalah usaha mikro, kecil dan menengah (UMKM) yang beroperasi pada salah satu dari sub-sektor industri kreatif dan terletak di Bandung, Denpsar, Jakarta atau Yogyakarta. Dengan analisis kuantitatif, penelitian ini melihat hubungan antara variabel independen dan dependen melalui tes hipotesis menggunakan metode ordinary least square. Metode pertanyaan terbuka digunakan untuk melihat pola pengembangan bisnis kreatif responden. Hasil dari penelitian ini menemukan bahwa orientasi pelanggan dan orientasi biaya memiliki hubungan positif terhadap kemampuan inovasi berdasarkan jasa. Sedangkan, orientasi pesaing tidak memiliki hubungan yang siginifikan terhadap kemampuan inovasi berbasis layanan. Dari penelitian ini, dapat disimpulkan bahwa pelaku usaha (dalam hal ini UMKM) memiliki fokus pada konsumen dan efisiensi biaya yang pada akhirnya akan membentuk budaya inovasi yang sesuai dengan lingkungan bisnis mereka.Creative industry is becoming competitive advantages to Indonesia. It has huge potency of intellectual capital around islands. Creative business aim to creating innovative business model and open absorb labor force. The objective of this study is to examine and analyze the relationships between strategic orientation (in this research consist of three dimensions; customer orientation, competitor orientation and cost orientation)and service innovation capability. Object of this study was Micro, Small and Medium Enterprises (MSMEs) that operates in one of creative subsector industry and located at in Bandung, Denpasar, Jakarta or Yogyakarta. By using quantitative analysis, this study analyzed the relationship between independent and dependent variables through testing hypotheses using ordinary least square method. Open question method also used to show the pattern of creative business development from owners point of viewt. The result of this study found customer orientation and cost orientation positively related to service innovation capability. While, competitor orientation shows not have significant relationship to service innovation capability. From this research can be conclude that creative business (MSMEs) has focus on deserve customers interest. Besides, at the same time they create efficiency in cost. Mix of both orientations in the end will creating innovation culture that fit to their business environment.


2020 ◽  
Vol 9 (1) ◽  
pp. 1-12
Author(s):  
Cici Swarsih ◽  
Junaidi Junaidi ◽  
Rosmeli Rosmeli

This study aims to analyze the characteristics of educated workforce and to determine the effect of variables of age, education, wage level, skills and gender on duration of looking for work by educated worker in Jambi City. The data used in this study are primary data obtained from questionnaires and direct interviews with a total sample of 110 respondents. Sampling in this study uses a multistage sampling method that is sampling in stages. Data analysis methods used are descriptive and quantitative analysis. The analytical tool used is the OLS (Ordinary Least Square) method. The results of this study indicate that the independent variables simultaneously have a significant effect on duration of looking for work. Partially the variables of age, education, wage level have a significant effect on duration of looking for work, while the skills and gender variables have no significant effect on the duration of looking for work.


2019 ◽  
Vol 2 (2) ◽  
pp. 68-75
Author(s):  
Nelvia Iryani ◽  
Syaiful Anwar

Labor is a very important asset in economic activities, but often the number of workers exceeds the available employment capacity, so it is very necessary to analyze the factors that affect employment. This study aims to estimate the relationship between wage, capital, production value to the amount of employment in Kerupuk Sanjai Small and Medium Enterprises (SMEs) in Kabupaten Limapuluh Kota This type of research is field research and use questioner to 100 respondens . The analytical tool used is multiple linear regression analysis with OLS (Ordinary Least Square) method and data processing using SPSS VR.21 software. The results of the study show that  all independent variabels has a  significant effect on labor absorption in Kerupuk Sanjai SMEs in Kabupaten Limapuluh Kota. capital is the variable that has the most influence in the absorption of labor in the Kerupuk Sanjai Small and Medium Enterprises (SMEs) in Kabupaten Limapuluh Kota.


Author(s):  
Kaillin Lalli Randa ◽  
Ida Ayu Purba Riani ◽  
Balthazar Kreuta

The purpose of the study was to analyze what factors influence the Performance Based Budget by using a sample of 87 respondents working at the Secretariat of the Papuan People's Representative Council. While the data analysis technique used is the Ordinary least square (OLS) technique. The results of the study are indicated by the calculation of the mean (mean) of 32 item questions and 87 respondents and the result is 137.31. If the value is compared to the criteria that the author has set, then the average value is included in the "Very Good" category. While the results of the partial analysis of organizational commitment (X1) have a significant and positive influence on the performance-based budget of 1,261. Keywords: Performance Based Budget


Author(s):  
Chih-Yi Hsiao ◽  
Hui-Hui Kuang ◽  
Hui-Ling Li ◽  
Jia-Li Liu

The phenomenon of false financial statements still exists. However, in addition to the risk of being punished, what kind of price do companies have to pay? In recent decades, with China's rapid progress in economic, the relevant accounting system and corporate governance standards are actively improving, and the earnings quality is improving. This paper takes China's listed companies from 2015 to 2019 as samples, and adopts quantile regression supplemented by ordinary least square method to explore the relationship between earnings quality and capital cost. The research findings show that the higher the earnings management, the higher the capital cost, especially for the company with low capital cost. Nevertheless, for the extremely company with high capital cost, earnings management can reduce the capital cost. The research results can provide the focus of regulators of listed companies and reference for the revision of relevant accounting system.


2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Hao Liang ◽  
Yumin Tao ◽  
Meijiao Wang ◽  
Yu Guo ◽  
Xingfa Zhao

The ring laser gyro inertial measurement unit has many systematic error terms and influences each other. These error terms show a complex nonlinear drift that cannot be ignored when the temperature changes, which seriously affects the stability time and output accuracy of the system. In this paper, a system-level temperature modeling and compensation method is proposed based on the relevance vector regression method. First, all temperature-related parameters are modeled; meanwhile, the Harris hawks optimization algorithm is used to optimize each model parameter. Then, the system compensation is modeled to stabilize the system output to the desired temperature. Compared with the least square method, the fitting performance comparison and the system dynamic compensation experiment prove this method’s superiority. The root mean square error, the mean absolute error, the R -squared, and the variance of residual increased by an average of 35.27%, 39.29%, 2.29%, and 30.34%, respectively.


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