The use of linear regression methods and Pearson’s correlation matrix to identify mechanical–physical–chemical parameters controlling the micro-electrochemical behaviour of machined copper

Background: Life expectancy (LE) at birth is relatively poor in thelow- and lower-middle-income countries compared to the developed countries. There are many factors for this poor status of LE in these countries. Communicable disease in the human body is found to be one of the main causes. Aim: To determine the effects of communicable diseases on LE at birth in low- and lower-middle-income countries. Methods: Data of 82 low- and lower-middle-income countries were extracted from the World Health Statistics 2018. In this study, the dependent variable is LE at birth, and the communicable diseases such as new Human Immunodeficiency (HIV) infections, Tuberculosis (TB) incidences, Malaria incidences, and Hepatitis-B surface antigen (HBsAg) prevalence among children under 5 years are the independent variables. Descriptive statistics, Pearson’s correlation analysis, and Linear regression model were used to examine the data. Results: The lowest (52.90 years) and highest (76.30 years) LE at birth were observed in Lesotho and Viet Nam, respectively. Pearson’s correlation coefficients identified that new HIV infections, TB incidences, Malaria incidences, and HBsAg prevalence among children under 5 years are highly correlated with the LE at birth. The linear regression analysis reveals that all the selected variables are found to have significant negative effects on LE at birth in low and lowermiddleincome countries. Conclusions: The higher prevalence of communicable diseases contributes to reducing the LE at birth in low and lowermiddleincome countries. So, to raise the LE at birth of a country, the necessary steps should be taken to minimize the incidence and prevalence of communicable diseases. Keywords: Life expectancy; Communicable diseases;Low- and lower-middle-income countries

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Evaluation of Impact of Happiness on Academic Performance among Medical Students of Rawalpindi Medical University, Pakistan

European Journal of Medical and Health Sciences ◽

10.24018/ejmed.2020.2.6.603 ◽

2020 ◽

Vol 2 (6) ◽

Author(s):

Tayyab Mumtaz Khan ◽

Sana Mansoor ◽

Munazzah Kaleem ◽

Muhammad Shahid Zafar ◽

Anisa Shoail ◽

...

Keyword(s):

Academic Performance ◽

Medical Students ◽

Linear Regression ◽

Positive Association ◽

Female Students ◽

P Value ◽

Pearson’S Correlation ◽

Pearson's Correlation ◽

Strong Positive Association ◽

Medical University

Happiness is a collection of various kinds of emotions including positive and negative because of satisfaction in life. Happiness affects almost every aspect of life, however, among students, its most important impact is on their academic performance. Academic performance is positively affected by happiness and subsequently their performance as a physician. Therefore, our current study is set to assess the impact of happiness on academic performance among final-year medical students of Rawalpindi Medical University Pakistan. This may provide us a new way to bring improvement in academic performance of medical students. This descriptive cross-sectional study was carried out among final-year medical students of Rawalpindi Medical University in January 2020. Collection of data was accomplished with the help of two questionnaires including Oxford Happiness Questionnaire for happiness assessment and self-structured questionnaire which was developed to obtain required data about demographic details and marks in last professional examination. Students who had diagnosed any physical and mental illness were excluded. From total of 223 students who were enrolled at the beginning of study, only 186 returned correctly filled questionnaires so final sample size became 186. Data analysis was completed through SPSS v.25.0. Different statistical tests including Independent sample t-test, Chi-square test, Pearson’s correlation, and linear regression were used to assess the study variables. Statistically significant and strong positive association was noted between happiness and academic performance of students (p = 0.000). To evaluate the direction and strength of association between happiness and academic performance, Pearson’s correlation coefficient was calculated, and it was 0.809 with p-value 0.000). Difference in happiness score between male students and female students (p=0.015) and between boarder students and non-boarder students (p=0.000) was statistically significant. Likewise, the difference in academic performance that was assessed through marks in last professional examination was also statistically significant between male student and female students (p=0.001) and between boarder students and non-boarder students (p=0.000) was also statistically significant. With p-value of 0.000 for F test, simple linear regression model was valid. Value of unstandardized regression Coefficient (B) was 61.40. R² was 0.655 (65.5%). Our study overall shows higher happiness score and better academic performance among female and non-boarder students relative to male and boarder students. This current study also indicates statistically significant and strong positive association between happiness and academic performance, which means that increase in happiness increases the academic performance of students and vice versa. So, with the implementation of appropriate measures for the increase in happiness we can bring enhancement in academic performance of medical students.

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Assessment of the Impact of Selected Satisfaction Parameters on the Competitiveness of Family Tourism

Marketing and Management of Innovations ◽

10.21272/mmi.2020.4-10 ◽

2020 ◽

pp. 131-143

Author(s):

Zuzana Goncarova ◽

Jana Pitekova ◽

Maria Vrablikova

Keyword(s):

Correlation Coefficient ◽

Family Business ◽

Correlation Matrix ◽

Family Businesses ◽

Pearson’S Correlation ◽

Pearson’S Correlation Coefficient ◽

Overall Evaluation ◽

Pearson's Correlation ◽

Pearson's Correlation Coefficient ◽

The Impact

The visitor, as the bearer of the demand for tourism services, is primarily a person with his natural desires. For many, a family business is a guarantee of a more helpful approach to meeting clients’ expectations. The paper aims to analyze the dependence between selected parameters of customer satisfaction in two groups of tourist trade establishment or tourism companies. The first group consists of family businesses, which have long shown a higher level of satisfaction compared to traditional tourism companies. The second group is classic tourism companies. In both cases, the research interest is the impact of a change in the assessment of staff and a change in the evaluation of the price/quality ratio on the change in the overall evaluation of these two groups of companies. Authors assumed that satisfaction with the staff in family businesses has a more significant impact on overall satisfaction. The research sample consists of 44 non-family and 18 family businesses. The research includes: assessment of the staff, evaluation of the price/quality ratio and overall evaluation for 2018 and 2020 based on secondary data, calculation of changes (indices) of the parameters as the ratio of values in 2020 to 2018, partial correlation analyzes for individual years and compilation of final correlation matrix, in which is examined the correlation between the change in the overall assessment in family and non-family businesses and the correlation between the change in the price/quality ratio in family and non-family businesses. The basic methods include analysis, synthesis, induction, analogy, comparison, empiricism and Pearson’s correlation coefficient from mathematical-statistical methods. The basic heuristic approach consists of professional literature on the subject matter and secondary sources obtained from the most important accommodation portal booking.com. In the synthesis of knowledge, there are used empirical experience resulting from doing long-term business in the field of tourism of authors. As part of the compilation of the resulting correlation matrix, authors state that in non-family businesses both correlation coefficients are higher than in family ones. In contrast, in evaluating the relationship between the change of personnel, the value of Pearson’s correlation coefficient is higher than 0.7, so it is a strong dependence. Non-family businesses should pay more attention to the human factor. The barrier to fulfillment can be impersonal leadership and inflexible organizational structures. In family businesses, on the other hand, the selection of employees is based on mutual trust. The benefit of the paper is the distinction between family and non-family businesses from the customer’s point of view, which is often a marginalized topic in theory and practice Keywords: competitiveness, correlation, customers´ satisfaction, family business, non-family business, tourism.

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Influence of roundness deviation value on bearing vibration level

AUTOBUSY – Technika Eksploatacja Systemy Transportowe ◽

10.24136/atest.2018.398 ◽

2018 ◽

Vol 19 (12) ◽

pp. 277-281 ◽

Cited By ~ 1

Author(s):

Bartłomiej Ambrożkiewicz ◽

Krzysztof Przystupa ◽

Sylwester Wnuk

Keyword(s):

Linear Regression ◽

Technological Process ◽

Correlation Coefficients ◽

Vibration Level ◽

Pearson’S Correlation ◽

Rolling Surface ◽

Shape Errors ◽

Pearson's Correlation ◽

Roundness Deviation ◽

Bearing Vibration

This article investigates the influence of roundness value on vibration level generated by bearing. One of the shape errors playing a key role in bearing’s operation is roundness deviation. Its value directly influence on vibration level generated by bearing. In the paper, the significance and methodology of roundness measurements in reference to profile of rolling surface received in technological process. Experiment consisted of inner rings matching of bearing 6009C3 with variable roundness deviation with outer rings characterized with little variability of mentioned deviation. In the next step bearing vibration level was examined. In the end, obtained results were combined with values of roundness deviation and basing on them, models of linear regression were obtained, also Pearson’s correlation coefficients were calculated.

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Photokeratoconjunctivitis Symptoms among Informal Welding Operators in North Samarinda, Indonesia

Global Medical & Health Communication (GMHC) ◽

10.29313/gmhc.v5i2.2147 ◽

2017 ◽

Vol 5 (2) ◽

pp. 144 ◽

Cited By ~ 1

Author(s):

Iwan Muhamad Ramdan ◽

Siti Badriatul Mursyidah ◽

Siti Jubaedah

Keyword(s):

Linear Regression ◽

Multiple Linear Regression ◽

Exposure Duration ◽

Health And Safety ◽

Uv Exposure ◽

Ultraviolet Rays ◽

Chi Square ◽

Cross Sectional ◽

Pearson’S Correlation ◽

Pearson's Correlation

AbstractInformal sector has been contributing to the national economy but occupational health and safety practices in the sector has not been satisfactory. One of the informal sector which are found in North Samarinda is informal welding workshop, with dominant hazards is exposure to ultraviolet rays that can cause photokeratoconjunctivitis. The Objective of this study was to investigate the symptoms of photokeratoconjunctivitis and related factors among informal welding operator in North Samarinda. A cross-sectional study was conducted on 40 respondents. Research was conducted in March until November 2016. Data collection using ultraviolet detector meter, clamps meter, and questionnaire. Data analysis using chi-square, Pearson’s correlation product moment and multiple linear regression. 50% of respondents have photokeratoconjunctivitis symptoms. Personal protective equipment (PPE) (p=0.004), UV exposure duration (0.056), knowledge of health and safety (p=0.055) and number of working days (p=0.001) were associated with photokeratoconjunctivitis symptoms. Work location (p=0.244), level of education (p=0.680), age (0.167), intensity of UV radiation (p=0.206) and strength of welding current (p=0.085) were not related to photokeratoconjunctivitis symptoms. In conclusions, photokeratoconjunctivitis symptoms is influenced by the use of PPE, UV exposure duration, knowledge of health and safety, and number of working days. The most influential factor to the appearance of photokeratoconjunctivitis (β=0.32) is duration of UV exposure.AbstrakSektor informal telah berkontribusi terhadap perekonomian nasional, namun praktik kesehatan dan keselamatan kerja pada sektor ini masih belum memuaskan. Salah satu usaha sektor informal yang banyak dijumpai di Samarinda Utara adalah usaha pengelasan dengan potensi bahaya utama paparan sinar ultraviolet yang dapat menyebabkan photokeratoconjunctivitis. Penelitian ini bertujuan menginvestigasi kejadian photokeratoconjunctivitis dan faktor yang memengaruhinya pada operator las informal di Kelurahan Samarinda Utara. Penelitian cross-sectional telah dilakukan terhadap 40 responden pada bulan Maret sampai November 2016. Pengumpulan data menggunakan UV detector meter, clamp meter, dan kuesioner. Analisis data menggunakan chi-square, Pearson’s correlation product moment, dan multiple linear regression. Lima puluh persen responden mengalami gejala photokeratoconjunctivitis. Alat pelindung diri (APD) (p=0,004), durasi paparan UV (0,056), pengetahuan tentang kesehatan, dan keselamatan kerja (K3) (p=0,055) dan jumlah hari kerja (p=0,001) berhubungan signifikan dengan kejadian photokeratoconjunctivitis. Lokasi kerja (p=0,244), tingkat pendidikan (p=0,680), usia (0,167), intensitas radiasi UV (p=0,206), dan kuat arus las (p=0,085) tidak berhubungan dengan gejala photokeratoconjunctivitis. Simpulan, gejala photokeratoconjunctivitis dipengaruhi oleh penggunaan APD, durasi paparan UV, pengetahuan K3, dan jumlah hari kerja. Faktor yang paling dominan memengaruhi gejala photokeratoconjunctivitis adalah durasi paparan UV.

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Relationship between smartphone use and sedentary behavior: a school-based study with adolescents

Revista Brasileira de Atividade Física & Saúde ◽

10.12820/rbafs.24e0078 ◽

2019 ◽

Vol 24 ◽

pp. 1-8

Author(s):

Camilo Luis Monteiro Lourenço ◽

Thiago Ferreria de Souza ◽

Edmar Lacerda Mendes

Keyword(s):

Linear Regression ◽

Multiple Linear Regression ◽

Sedentary Behavior ◽

Minas Gerais ◽

Cross Sectional ◽

Pearson’S Correlation ◽

School Based ◽

Pearson's Correlation ◽

Smartphone Use ◽

Stratified Analysis

The aims of this study were a) to describe the smartphone use and sedentary behavior (SB) on typical weekdays and weekends, and b) to verify the association between smartphone use and SB among adolescents. This is a cross-sectional population school-based, which surveyed 984 students from Uberaba, Minas Gerais, in 2015. Gender-stratified analysis were performed using t-tests, Pearson’s correlation (r) and multiple linear regression (β). Girls used more smartphones than boys (weekdays: 6.58 hrs vs. 5.29 hrs, p < 0.001; weekend: 7.81 hrs vs. 6.18 hrs, p < 0.001). Both genders used more smartphones in the weekend (p < 0.001) than weekdays. SB was higher in girls than boys (weekdays: 5.34 hrs vs. 4.48 hrs, p < 0.001, weekend: 5.22 hrs vs. 4.38 hrs, p < 0.001). SB was higher for both genders at weekend (p < 0.001) than on weekdays. Correlation between SB and smartphone use ranged from weak to moderate in both genders (weekdays: boys, r = 0.30; girls, r = 0.17, p < 0.001; weekend: boys, r = 0.39; girls, r = 0.17, p < 0.001). Smartphone use was positively associated with SB during the weekdays (boys: β = 0.25, girls: β = 0.19, p < 0.001) and weekend (boys: β = 0.31; girls: β = 0.14, p < 0.001). Girls showed greater SB and smartphone use than boys, regardless if compared on weekdays or weekend. SB and smartphone were positively associated in both genders.

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Alias Structures and Sequential Experimentation for Mixed-Level Designs

Mathematics ◽

10.3390/math9233053 ◽

2021 ◽

Vol 9 (23) ◽

pp. 3053

Author(s):

Armando Javier Ríos-Lira ◽

Yaquelin Verenice Pantoja-Pacheco ◽

José Antonio Vázquez-López ◽

José Alfredo Jiménez-García ◽

Martha Laura Asato-España ◽

...

Keyword(s):

Correlation Coefficient ◽

Correlation Matrix ◽

Pearson’S Correlation ◽

Pearson’S Correlation Coefficient ◽

Sequential Experimentation ◽

Pearson's Correlation ◽

Pearson's Correlation Coefficient

Alias structures for two-level fractional designs are commonly used to describe the correlations between different terms. The concept of alias structures can be extended to other types of designs such as fractional mixed-level designs. This paper proposes an algorithm that uses the Pearson’s correlation coefficient and the correlation matrix to construct alias structures for these designs, which can help experimenters to more easily visualize which terms are correlated (or confounded) in the mixed-level fraction and constitute the basis for efficient sequential experimentation.

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PENGARUH FAKTOR-FAKTOR INTERNAL PERBANKAN TERHADAP NON PERFORMING FINANCING PADA BANK UMUM SYARIAH

Jurnal Riset Manajemen Sekolah Tinggi Ilmu Ekonomi Widya Wiwaha Program Magister Manajemen ◽

10.32477/jrm.v6i2.353 ◽

2019 ◽

Vol 6 (2) ◽

pp. 115-130

Author(s):

Eka Ambara Harci Putranta ◽

Lilik Ambarwati

Keyword(s):

Linear Regression ◽

Multiple Linear Regression ◽

Linear Regression Analysis ◽

Multiple Linear Regression Analysis ◽

Capital Adequacy ◽

Annual Reports ◽

Regression Methods ◽

Capital Adequacy Ratio ◽

Negative Effect ◽

Independent Variable

The study aims to analyze the influence of internal banking factors in the form of: Capital Adequency Ratio (CAR), Financing to Deposit Ratio (FDR) and Total Assets (TA) to Non Performing Financing at Sharia Banks. This research method used multiple linear regression analysis with the help of SPSS 16.00 software which is used to see the influence between the independent variables in the form of Capital Adequacy Ratio (CAR), Financing to Deposit Ratio (FDR) and Total Assets (TA) to Non Performing Financing. The sample of this study was 3 Islamic Commercial Banks, so there were 36 annual reports obtained through purposive sampling, then analyzed using multiple linear regression methods. The results showed that based on the F Test, the independent variable had an effect on the NPF, indicated by the F value of 17,016 and significance of 0,000, overall the independent variable was able to explain the effect of 69.60%. While based on the partial t test, showed that CAR has a significant negative effect, Total assets have a significant positive effect with a significance value below 0.05 (5%). Meanwhile FDR does not affect NPF.

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Submikroninių aerozolio dalelių kilmės ir fizikinių-cheminių parametrų įtaka atmosferos šiluminei pusiausvyrai

10.15388/vu.thesis.102 ◽

2020 ◽

Author(s):

◽

Julija Pauraitė-Dudek

Keyword(s):

Chemical Parameters ◽

Radiative Balance ◽

Submicron Aerosol ◽

Physical Chemical ◽

The Impact ◽

Aerosol Source

The impact of submicron aerosol source and physical-chemical parameters on atmospheric radiative balance

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