Efficient variability analysis of arithmetic units using linear regression techniques

2016 ◽  
Vol 87 (2) ◽  
pp. 249-261
Author(s):  
Dimitrios Stamoulis ◽  
Kostas Tsoumanis ◽  
Dimitrios Rodopoulos ◽  
Brett H. Meyer ◽  
Kiamal Pekmestzi ◽  
...  
Keyword(s):  
Linear Regression ◽  
Variability Analysis ◽  
Regression Techniques ◽  
Arithmetic Units

Correlation Between Gestures’ Qualitative Properties and Usa- bility metrics

2020 ◽  
Vol 64 (1) ◽  
pp. 726-730
Author(s):  
Daniela Chanci ◽  
Naveen Madapana ◽  
Glebys Gonzalez ◽  
Juan Wachs
Keyword(s):  
Linear Regression ◽  
User Satisfaction ◽  
Completion Time ◽  
User Study ◽  
Task Completion ◽  
Time Error ◽  
Qualitative Properties ◽  
Regression Techniques ◽  
Overall Efficiency ◽  
Usability Metrics

The choice of best gestures and commands for touchless interfaces is a critical step that determines the user- satisfaction and overall efficiency of surgeon computer interaction. In this regard, usability metrics such as task completion time, error rate, and memorability have a long-standing as potential entities in determining the best gesture vocabulary. In addition, some previous works concerned with this problem have utilized qualitative measures to identify the best gesture. In this work, we hypothesize that there is a correlation between the qualitative properties of gestures (v) and their usability metrics (u). Therefore, we conducted an experiment with linguists to quantify the properties of the gestures. Next, a user study was conducted with surgeons, and the usability metrics were measured. Lastly, linear and non-linear regression techniques were used to find the correlations between u and v. Results show that usability metrics are correlated with the gestures’ qualitative properties ( R2 = 0.4).

scholarly journals PENGARUH LITERASI EKONOMI SISWA, HASIL BELAJAR EKONOMI, DAN TEMAN SEBAYA TERHADAP PERILAKU KONSUMSI SISWA SMP NEGERI DI SURABAYA BARAT

2017 ◽  
Vol 5 (1) ◽  
pp. 127
Author(s):  
Endah Murniatiningsih
Keyword(s):  
Linear Regression ◽  
Data Collection ◽  
Multiple Linear Regression ◽  
Total Sample ◽  
Economic Literacy ◽  
Economic Study ◽  
Consumption Behavior ◽  
Research Population ◽  
Class Viii ◽  
Regression Techniques

This study aimed to analyze the effect of the Students Economic Literacy, the results of the economic study, and peers on consumption behavior of students of SMP Negeri Surabaya Western Conference. The research population was students of SMP Negeri 28 Surabaya class VIII as many as 369 people and students of SMP Negeri 40 Surabaya class VIII as many as 330 students, with a total sample of 254 students. The data collection techniques using questionnaires and documentation. Methods of analysis using multiple linear regression techniques. The results showed that the students economic literacy, the results of the economic study, and peer partially has a positive and significant effect on consumption behavior. The students economic literacy of students, the results of the economic study, and peer simultaneously positive significant effect on consumption behavior of students

scholarly journals Profitability Attributes and the level of Disclosure: A Study on Listed Pharmaceutical Companies of Bangladesh

2012 ◽  
Vol 1 (1) ◽  
pp. 8-15
Author(s):  
Md. Shakawat Hossain
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Pharmaceutical Company ◽  
Annual Reports ◽  
Pharmaceutical Companies ◽  
Regression Techniques

The objective of the study is to examine empirically the likely association between the level of disclosure and various profitability attributes. In order to identify the determinants of disclosure, regression analysis, multiple linear regression techniques have been used. The analysis and discussion of the study have already established the fact that the extent of disclosure varies across pharmaceutical company and across various sections of pharmaceutical company annual reports. The paper has been prepared having in minded the significant corporate attributes that are significantly associated with the level of disclosure.

scholarly journals Penerapan Good School Governance (GSG) Dan Pengaruhnya Terhadap Efektifitas Pengelolaan Bantuan Operasional (BOS) Sekolah Dasar Kota Blitar

REVITALISASI ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 74
Author(s):  
Hendri Susanti
Keyword(s):  
Elementary School ◽  
Data Analysis ◽  
Linear Regression ◽  
Primary School ◽  
Multiple Linear Regression ◽  
Descriptive Analysis ◽  
School Governance ◽  
Analysis Method ◽  
Good School ◽  
Regression Techniques

This study aims to determine the effect of the application of good school governance on the effectiveness of the management of elementary school operational assistance. The method used is descriptive analysis method with a quantitative approach. The sample used saturated samples by showing all treasurers of primary school operational assistance as many as 48 people, data collected by questionnaire techniques while data analysis used multiple linear regression techniques. The results showed that participation had a positive and significant effect on the effectiveness of the management of school operational assistance, transparency had a positive and significant effect on the effectiveness of the management of school operational assistance, while accountability separately did not have a positive and significant effect on the effectiveness of the management of school operational assistance but together participation, transparency and accountability have a positive and significant effect on the effectiveness of managing school operational assistance.

scholarly journals Pengaruh Sanksi Administrasi Dan Surat Paksa Terhadap Optimalisasi Pencairan Tunggakan Pajak Pada KPP Pratama Makassar Utara

2019 ◽  
Vol 4 (2) ◽  
pp. 260-277
Author(s):  
Nuramal
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Data Collection ◽  
Multiple Linear Regression ◽  
Secondary Data ◽  
Analysis Method ◽  
Regression Techniques ◽  
Administrative Sanctions ◽  
Tax Payers ◽  
Positive Effect

This study aims to determine the effect of Administrative Sanctions and Forced Letters on Optimizing Disbursement of Tax Arrears at the Pratama Tax Office North Makassar. Data collection uses secondary data obtained from the Pratama Makassar North Tax Service Office. The population is 36 tax payers and the sample is 36. The data analysis method uses multiple linear regression techniques. The results of this study indicate that administrative sanctions show a positive and significant. This means that administrative sanctions have a positive effect on optimizing the disbursement of tax arrears. The forced letter shows positive and significant. This means that forced letters have a positive and significant effect on optimizing the disbursement of tax arrears.

scholarly journals PENGARUH MOTIVASI BELAJAR, GAYA BELAJAR, DAN LINGKUNGAN BELAJAR PADA HASIL BELAJAR EKONOMI DI SMA NEGERI 1 WRINGINANOM GRESIK

2017 ◽  
Vol 2 (2) ◽  
pp. 142
Author(s):  
Muhammad Miftah Farid
Keyword(s):  
Linear Regression ◽  
Learning Environment ◽  
Learning Styles ◽  
Learning Outcomes ◽  
Learning Environments ◽  
Learning Style ◽  
Total Sample ◽  
Learning Motivation ◽  
Analysis Method ◽  
Regression Techniques

This study aims to analyze the influence of learning motivation, learning styles and learning environments on learning outcomes economy partially or simultaneously. The population in this study is IPS students a total of 314 people and a total sample of 153 students in SMA Negeri 1 Wringinanom Gresik. The data collection techniques used were questionnaires and documentation. Analysis method using multiple linear regression techniques. The results showed that the learning motivation, learning style and learning environment partially positive significant effect on learning outcomes. Learning motivation, learning style and the learning environment simultaneously positive significant effect on learning outcomes

Statistical Techniques for Interpreting Body Size–Related Exercise Performance during Growth

2000 ◽  
Vol 12 (2) ◽  
pp. 112-127 ◽  
Author(s):  
Joanne R. Welsman ◽  
Neil Armstrong
Keyword(s):  
Body Size ◽  
Linear Regression ◽  
Body Mass ◽  
Exercise Performance ◽  
Multilevel Regression ◽  
Cross Sectional ◽  
Regression Techniques ◽  
Ontogenetic Allometry ◽  
Log Linear ◽  
Individual Size

This paper reviews some of the statistical methods available for controlling for body size differences in the interpretation of developmental changes in exercise performance. For cross-sectional data analysis simple per body mass ratio scaling continues to be widely used, but is frequently ineffective as the computed ratio remains correlated with body mass. Linear regression techniques may distinguish group differences more appropriately but, as illustrated, only allometric (log-linear regression) scaling appropriately removes body size differences while accommodating the heteroscedasticity common in exercise performance data. The analysis and interpretation of longitudinal data within an allometric framework is complex. More established methods such as ontogenetic allometry allow insights into individual size-function relationships but are unable to describe adequately population effects or changes in the magnitude of the response. The recently developed multilevel regression modeling technique represents a flexible and sensitive solution to such problems allowing both individual and group responses to be modeled concurrently.

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