Cephalometric Floating Norms for Czech Adults

The purpose of this study was to establish floating cephalometric norms for the description of the individual skeletal pattern in Czech adults. Floating norms provide a method of analysis that uses the variability of the associations among suitable cephalometric measures, on the basis of the regression model combining both sagittal and vertical skeletal parameters. Harmony box is a simple and useful tool for diagnostics of orthodontic anomalies according to individual cephalometric norms. 118 subjects, 53 male and 65 female, from Czech population were selected. The method of multiple regression analysis was used to determine interdependence among five cephalometric variables of the sample. Linear regression equations with corresponding r2 and standard error of the estimate (SE) were then illustrated as the harmony box. The results construct a harmony box based on correlated cephalometric variables. The multiple regression analysis of the data is graphically illustrated as a harmony schema which divides harmony box in three zones according to the type of the face – prognathic, orthognathic and retrognathic. The cephalometric floating norms describing the individual craniofacial pattern among Czech adults were established based on five correlated variables in the form of a harmony box.

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Cephalometric Floating Norms as a Guide toward a Harmonious Individual Craniofacial Pattern among Filipinos

The Angle Orthodontist ◽

10.2319/091408-478r.1 ◽

2009 ◽

Vol 79 (6) ◽

pp. 1162-1168 ◽

Cited By ~ 6

Author(s):

Marian Almyra Sevilla-Naranjilla ◽

Ingrid Rudzki-Janson

Keyword(s):

Regression Analysis ◽

Linear Regression ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Standard Error ◽

Pearson Correlation ◽

Linear Regression Analysis ◽

Regression Equations ◽

Correlated Variables ◽

The Individual

Abstract Objective: To construct a harmony box based on correlated cephalometric variables, which may serve as a valuable diagnostic tool in orthodontic treatment planning, by analyzing the harmonious relationships of existing individual craniofacial patterns among Filipinos. Materials and Methods: Eighty-one subjects, 37 females and 44 males, were selected from the student population of a University according to established inclusion criteria. Five cephalometric angular measurements were obtained and digitized. Pearson correlation coefficients described the high association among the five variables. The bivariate linear regression analysis was used to construct a harmony box, which contained the cephalometric floating norms of the five correlated variables. Multiple regression analysis and the standard error of the estimate were calculated to construct the harmony schema, which describes the individual craniofacial pattern. Results: Correlations between the five variables were significant at .001 and .05 levels. Linear regression equations with corresponding r2 and standard error of the estimate (SE) were illustrated as the harmony box. The multiple correlation coefficient R, the adjusted R2, and the SE when one of the five measured variables was predicted from the remaining four by means of a multiple regression analysis were displayed as the harmony schema. Conclusion: The cephalometric floating norms describing the individual craniofacial pattern among Filipinos were established based on five correlated variables in the form of a harmony box.

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THE IMPACT OF SOCIAL FACTORS ON INDIVIDUAL TAX COMPLIANCE

Asia Proceedings of Social Sciences ◽

10.31580/apss.v4i3.823 ◽

2019 ◽

Vol 4 (3) ◽

pp. 26-28

Author(s):

Muthaloo Subramaniam

Keyword(s):

Regression Analysis ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Tax Compliance ◽

Cultural Background ◽

Assessment System ◽

Research Approach ◽

The Individual ◽

The Impact ◽

Compliance Behaviour

Tax revenue is one of important governmentâ€™s sources of revenue and the taxation system vary across countries. Malaysia went through the paradigm shift by employing the self-assessment system (SAS) on 2001 where responsibility of calculating taxes had shifted successfully from the Inland Revenue Board of Malaysia (IRBM) to taxpayers. Since then, the voluntary tax compliance through SAS in Malaysia has been paying a greater role in meeting the statutory tax obligations and collection, effectively and efficiently. The study is aimed to examine the ethical, moral, religious and cultural background considerations on individual voluntary tax compliance in Malaysia by engaging quantitative research approach by utilising 200 valid questionnaire from respondents who are the individual taxpayer in Malaysia. Multiple regression analysis conducted to identify the effect of ethicality, morality, religiosity and cultural background on the individual voluntary tax compliance in Malaysia. Findings shows that all the variables have significant positive relationship, however the multiple regression analysis proven that ethicality and religiosity have strong significant effect on the individual tax compliance behaviour and on the other hand, morality and cultural background doesnâ€™t have significant effect on individual tax compliance behaviour.

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Analisis Pengaruh Kelengkapan Fitur dan Desain Navigasi Aplikasi Perbankan Berbasis Mobile Terhadap User Experience Nasabah Individu pada PT Bank Central Asia Tbk

Jurnal Manajemen Bisnis dan Kewirausahaan ◽

10.24912/jmbk.v4i4.8671 ◽

2020 ◽

Vol 4 (4) ◽

pp. 111

Author(s):

Andrian Harinata ◽

Anas Lutfi

Keyword(s):

Regression Analysis ◽

Central Asia ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

User Experience ◽

Hypothesis Test ◽

Mobile Banking ◽

Mobile Banking Applications ◽

The Individual

The goal of this research was to find whether feature completeness and navigation design of mobile banking applications developed by PT Bank Central Asia Tbk have a significant impact to its individual customers' user experience. This research was conducted by using questionnaire, in which the population was all the individual customers of PT Bank Central Asia Tbk, while the sample was the 162 (one hundred and sixty-two) respondents who submitted the questionnaire. By using the multiple regression analysis and hypothesis test, it was found that both feature completeness and navigation design of mobile banking applications developed by PT Bank Central Asia Tbk have a positive and significant impact to its individual customers' user experience.

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The prediction of job involvement for pharmacists and accountants

SA Journal of Industrial Psychology ◽

10.4102/sajip.v29i3.118 ◽

2003 ◽

Vol 29 (3) ◽

Cited By ~ 2

Author(s):

R. Van Wyk ◽

A. B. Boschoff ◽

F. V. N. Cilliers

Keyword(s):

Job Satisfaction ◽

Regression Analysis ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Job Involvement ◽

Total Sample ◽

Psychological Needs ◽

Personality Characteristics ◽

Common Variance ◽

The Individual

The job involvement of the individual seems to be potentially fundamental to the satisfaction of certain salient psychological needs that could lead to positive organizational implications. This study investigates the predictiveness of job involvement of 375 professionals in the pharmacy (n = 200) and accountancy (n = 175) occupations by means of Multiple Regression Analysis through personality characteristics and job satisfaction. A number of significant but weak relationships are reported varying between 1.29% and 9.85% common variance. Job involvement is predicted reasonably well for the total sample (19.35%) and the sub-samples of professionals (11.01% and 24.71% respectively). Opsomming Werkbetrokkenheid van die individu blyk potensiëel ’n fundamentele rol te speel in die bevrediging van sekere onderliggende psigologiese behoeftes, wat kan lei tot positiewe organisasie uitkomste. Hierdie studie van 375 professionele persone vanuit die apteker- (n = 200) en rekenmeester- (n = 175) beroepe ondersoek die verhouding en voorspelbaarheid van werkbetrokkenheid deur middel van Meervoudige Regressie Analise en werksatisfaksie en persoonlikheidstrekke faktore as onafhanklike veranderlikes. ’n Aantal stastisties betekenisvolle, maar matige verwantskappe word geraporteer (gemeenskaplike variansies tussen 1.29% en 9.85%). Werkbetrokkenheid is redelik goed voorspel vir die totale steekproef (19.35%) asook die professionele sub-groepe (11.01% en 24.71% onderskeidelik)

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Kesadaran Perpajakan, Pelayanan Fiskus, Dan Kepatuhan Wajib Pajak (Studi Padawajib Pajak Orang Pribadi Yang Melakukan Kegiatan Usaha Dan Pekerjaan Bebas)

Liquidity ◽

10.32546/lq.v5i1.62 ◽

2018 ◽

Vol 5 (1) ◽

pp. 27-34

Author(s):

Nurwati Nurwati

Keyword(s):

Regression Analysis ◽

Data Collection ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Free Trade ◽

Negative Influence ◽

Independent Variable ◽

The Individual ◽

Positive Effect ◽

Awareness Service

Taxpayer compliance from year to year shows declining. This study purposes to analyze the factors that affect the individual taxpayer Compliance conducting business and free trade in the region of KPP Pratama Jakarta Pasar Rebo. This study using the questionnaire as data collection. Respondents in this study are the individual taxpayers conducting business activities and work freely. This study uses a Tax Awareness, Service tax authorities as the independent variable and the Taxpayer Compliance as the dependent variable. The data were analyzed using multiple regression analysis using SPSS 20 for Windows. The results showed that (1) Awareness has negative influence on the Taxation Taxpayer Compliance significantly, (2) positive effect on the tax authorities Service Taxpayer Compliance significantly.

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Modelling air temperature for the state of São Paulo, Brazil

Scientia Agricola ◽

10.1590/s0103-90162007000500002 ◽

2007 ◽

Vol 64 (5) ◽

pp. 460-467 ◽

Cited By ~ 9

Author(s):

Luis Rodríguez-Lado ◽

Gerd Sparovek ◽

Pablo Vidal-Torrado ◽

Durval Dourado-Neto ◽

Felipe Macías-Vázquez

Keyword(s):

Regression Analysis ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Air Temperature ◽

Sao Paulo ◽

The State ◽

Climatic Data ◽

Regression Equations ◽

São Paulo ◽

Mean Values

Spatial modelling of air temperature (maximum, mean and minimum) of the State of São Paulo (Brazil) was calculated by multiple regression analysis and ordinary kriging. Climatic data (mean values of five or more years) were obtained from 256 meteorological stations distributed uniformly over the State. The correlation between the climatic dependent variables, with latitude and altitude as independent variables was significant and could explain most of the spatial variability. The coefficients of determination (P < 0.05) varied in the range of 0.924 and 0.953, showing that multiple regression analysis is an accurate method for the modelling of air temperature for the State of São Paulo. Finally, these regression equations were used together with the kriged maps of the residual errors to build 15 digital maps of air temperature using a 0.5 km² Digital Elevation Model in a Geographic Information System.

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The effect of score types on total score in trampoline gymnastics: Example of the European Championship in Sochi 2021

Pedagogy of Physical Culture and Sports ◽

10.15561/26649837.2021.0602 ◽

2021 ◽

Vol 25 (6) ◽

pp. 349-354

Author(s):

Sercin Kosova ◽

Merve Koca Kosova

Keyword(s):

Regression Analysis ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Scoring System ◽

Time Of Flight ◽

Horizontal Displacement ◽

Regression Analyses ◽

Male And Female ◽

Competition Rules ◽

The Individual

Background and Study Aim. Trampoline gymnastics has a versatile scoring system that has evolved and become more complex over the years. This study aimed to find the effect of the difficulty (D), execution (E), time of flight (TOF), and horizontal displacement (HD) scores on the total score in male and female trampoline gymnasts. Material and Methods. The results of the first round in the qualification round in the individual senior category of the 27th European Championships in Trampoline Gymnastics were used for evaluation. Multiple regression analysis (the enter method) was performed to build a model between the total score and D, E, TOF, and HD scores. Results. According to multiple regression analyses, respectively E, TOF, D, and HD scores were predictors of the total score in the men’s first routine, and D, E, TOF, and HD in the men’s second routine (p<0.05). Although women have the same ranking as the men of the second routines, respectively E, D, TOF, and HD scores were predictors of the first routine (p<0.05). Conclusions. The results show that the E score is critical for the first routines and the D score is critical for the second routines. The fact that the first and second routines were constructed with different strategies as per the competition rules may have caused this result. By reminding coaches and athletes of the fact that the types of scores can affect each other, it can be suggested that they adjust their target scores according to the type of routine and the stage and type of competition.

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Predicting change-of-direction performance in elite young badminton players: A multiple regression analysis on acceleration- and deceleration-related qualities

International Journal of Sports Science & Coaching ◽

10.1177/17479541211068827 ◽

2022 ◽

pp. 174795412110688

Author(s):

Irineu Loturco ◽

Lucas A. Pereira ◽

Francisco Alvarez-Dacal ◽

Jonathan Martinez-Maseda ◽

Tomás T. Freitas ◽

...

Keyword(s):

Regression Analysis ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Young Male ◽

Multiple Regression Model ◽

Change Of Direction ◽

Significant Relationships ◽

Model Combining ◽

Indirect Measures ◽

Acceleration And Deceleration

The aim of this study was to examine the interrelationships between direct (sprint and change-of-direction [COD] velocities) and indirect measures (COD-deficit [CODD], deceleration deficit [DD], and sprint momentum) of speed-related performances in young badminton players. Thirty young male badminton players (age: 16.8 ± 1.4 years; body-mass: 61.5 ± 7.9 kg; height: 170 ± 5.8 cm) performed a 20-m sprint followed by 505 COD tests, on the same day. A Pearson product moment test was applied to determine the relationships among variables. A multiple regression analysis was used to verify whether the combination of CODD and DD increased the capacity to predict COD performance. Large and significant relationships were observed between COD and linear sprint velocity and sprint momentum ( r ranging from 0.62 to 0.84; P < 0.05). COD velocity revealed a moderate significant ( r = −0.38) and a small non-significant ( r = 0.29) relationship with CODD and DD, respectively. The multiple regression model combining CODD and DD explained 44% of the variance in COD performance. In summary, young badminton players who sprint faster are equally faster in COD manoeuvres but present higher levels of CODD and DD. Coaches should be aware that faster badminton players may exhibit greater magnitudes of CODD-DD, thus requiring specific interventions to optimize the transition between high deceleration and (re) acceleration phases.

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Impacts of flushing and fermentation times on the quality of black tea

Genetika ◽

10.2298/gensr1103537a ◽

2011 ◽

Vol 43 (3) ◽

pp. 537-548 ◽

Cited By ~ 2

Author(s):

Hojjat Ansari ◽

Hassanpour Asil ◽

Babak Rabiei ◽

Ahmad Dadashpour

Keyword(s):

Regression Analysis ◽

Linear Regression ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Analysis Of Variance ◽

Correlation Coefficients ◽

Black Tea ◽

Hybrid Analysis ◽

Fermentation Time

Flushing and fermentation times are the two main parameters determining the quality of black tea. In this research, the effects of different flushing and fermentation times were studied on the quality of black tea in two clones, 100 and natural Chinese hybrid. Analysis of variance showed there were the significant differences between the clone types, flushing and fermentation times for theaflavin, thearubigin, total color, brightness, tannin and caffeine. Correlation coefficients between all studied traits, except thearubigin and brightness, caffeine and brightness, and total colour and theaflavin/thearubigin ratio, were significant at 1% probability. Regression analysis indicated there was a significant linear regression between fermentation time and brightness, tannin, and theaflavin/thearubigin ratio. Also, multiple regression analysis for brightness and total colour indicated that more than 70% of the variation in brightness was explained by theaflavin, caffeine and theaflavin/thearubigin ratio, and more than 68% of the variation in total colour was because of caffeine and theaflavin/thearubigin ratio.

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Predication of GRT Fiber-Rubberized Haydite Concrete Bend Strength Based on Multiple Regression Analysis and BP Neural Network

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.174-177.1100 ◽

2012 ◽

Vol 174-177 ◽

pp. 1100-1106

Author(s):

Bing Hua Xia ◽

Yuan Cai Liu ◽

Wei Wei Sun

Keyword(s):

Neural Network ◽

Regression Analysis ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Test Data ◽

Bp Neural Network ◽

Hydration Reaction ◽

Intensity Level ◽

Regression Equations ◽

Bend Strength

Experiment with intensity level for the LC30 ceramsite concrete as the research object, changing the content of cement, GRT fiber, rubber powder by the orthogonal test to configure GRT fiber—rubberized haydite concrete samples, maintenance samples 7d and 28d in standard conditions and respectively testing their bend strength. Through the analysis of the test data, using multiple regression analysis established the GRT fiber—rubberized haydite concrete 7d and 28d bend strength regression formulas.By means of BP neural network theory combine MATLAB programme established GRT fiber—rubberized haydite concrete 7d and 28d bend strength neural network model.Finally using 3 groups new test data to compare the value of multiple regression equations and BP neural network’s predicted value.The results indicate that the multiple regression equations of 28d’s and 28d’s BP neural network model are availabled.But because of the water and cement which in the GRT fiber—rubberized haydite concrete can not hydration reaction sufficiently during the 7d’s,so the multiple regression equations of 7d’s is unavailabled.

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