Prediction of Composition of Anomalous Cryptoperthites from the Rattlesnake Mountain Sill, West Texas, Using Stepwise Multiple Linear Regression Techniques

1973 ◽  
Vol 84 (3) ◽  
pp. 949 ◽  
Author(s):  
J. C. BUTLER
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Stepwise Multiple Linear Regression ◽  
West Texas ◽  
Regression Techniques

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 Comparison of muscle quality and functional capacity between Japanese and Brazilian older individuals

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243589
Author(s):  
Hiroshi Akima ◽  
Akito Yoshiko ◽  
Régis Radaelli ◽  
Madoka Ogawa ◽  
Kaori Shimizu ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Muscle Quality ◽  
Older Individuals ◽  
Stepwise Multiple Linear Regression ◽  
Independent Variables

Muscle quality is well-known to decrease with aging and is a risk factor for metabolic abnormalities. However, there is a lack of information on race-associated differences in muscle quality and other neuromuscular features related to functional performance. This study aimed to compare muscle quality, function, and morphological characteristics in Japanese and Brazilian older individuals. Eighty-four participants aged 65–87 years were enrolled in the study (42 Japanese: 23 men, 19 women, mean age 70.4 years; 42 Brazilians: 23 men, 19 women, mean age 70.8 years). Echo intensity (EI) and muscle thickness (MT) of the quadriceps femoris were measured using B-mode ultrasonography. A stepwise multiple linear regression analysis with EI as a dependent variable revealed that MT was a significant variable for Japanese participants (R2 = 0.424, P = 0.001), while MT and subcutaneous adipose tissue (SCAT) thickness were significant variables for Brazilian participants (R2 = 0.490, P = 0.001). A second stepwise multiple linear regression analysis was performed after excluding MT and SCAT thickness from the independent variables. Sex and age for Japanese participants (R2 = 0.381, P = 0.001) and lean body mass and body mass index for Brazilian participants (R2 = 0.385, P = 0.001) were identified as significant independent variables. The present results suggest that MT is closely correlated with muscle quality in Japanese and Brazilian older individuals. Increases in muscle size may induce decreases in intramuscular adipose tissue and/or connective tissues, which are beneficial for reducing the risks of metabolic impairments in Japanese and Brazilian older individuals.

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.

Global Burden of Cataract and Its Association With Socioeconomic Development Status, 1990-2019

2021 ◽  
Author(s):  
Xiaotong Han ◽  
Minjie Zou ◽  
Zhenzhen Liu ◽  
Yi Sun ◽  
Charlotte Aimee Young ◽  
...  
Keyword(s):  
Linear Regression ◽  
Visual Impairment ◽  
Multiple Linear Regression ◽  
Disease Burden ◽  
Multiple Linear Regression Model ◽  
Global Burden ◽  
Disability Adjusted Life Years ◽  
Stepwise Multiple Linear Regression ◽  
Disability Adjusted Life ◽  
Life Years

Abstract Background: Cataract is the leading cause of blindness globally and more people will be at risk for this common cause of vision loss in the coming years.To estimate the disease burden of cataract and evaluate contributions of various risk factors to cataract-associated disability-adjusted life years (DALYs).Methods: Prevalence of visual impairment due to cataract and disability-adjusted life years of cataract were extracted from the Global Burden of Disease (GBD) study 2019 to explore time trends and annual changes. Regional and country-level socioeconomic indexes were acquired from open databases, and stepwise multiple linear regression was used to evaluate associations between age-standardized rate of DALYs of cataract and potential predictors.Results: Global Prevalence rate of visual impairment due to cataract rose by 58.45% from 791.4 per 100,000 population (95%CI: 705.2 to 890.0 per 100,000 population) to 1253.9 per 100,000 population 95%CI: 1103.3 to 1417.7 per 100,000 population) in 2019 and DALYs rate of cataract rose by 32.18% from 65.3 per 100,000 population (95%CI: 46.4 to 88.2 per 100,000 population) in 1990 to 86.3 per 100,000 population (95%CI: 61.5 to 116.4 per 100,000 population) in 2019.Stepwise multiple linear regression model showed that higher refractive error prevalence (β=0.036, 95% CI: 0.022, 0.050, P<0.001), lower number of physicians per 10,000 population (β=-0.959, 95% CI: -1.685, -0.233, P=0.010) and lower level of HDI (β=-134.93, 95% CI: -209.84, -60.02, P=0.001) were associated with higher disease burden of cataract.Conclusions: Substantial increases in the prevalence of visual impairment and DALYs of cataract were observed from 1990 to 2019. Successful global initiatives targeting improving cataract surgical rate and quality, especially in regions with lower socioeconomic status, is a prerequisite to combating this growing burden of cataract in the aging society.

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