scholarly journals Methods of Forecasting the Development of the Nation's Economy Based on the Forecast of Automotive Products Export

2019 ◽  
Vol 8 (3) ◽  
pp. 2216-2221
Keyword(s):  
Regression Analysis ◽  
Correlation Coefficient ◽  
Automotive Industry ◽  
Pearson Correlation ◽  
Pearson Correlation Coefficient ◽  
Forecasting Methods ◽  
Fisher’S Ratio

Various forecasting methods and models have been analyzed, the possibility of their use in forecasting the automotive products export has been substantiated in the study. A mechanism for predicting the automotive products export based on regression analysis, Fisher's ratio, Pearson correlation coefficient has been proposed. The analysis of the automotive products market has been conducted, a mechanism has been designed to substantiate the connection between the export of automotive products and the development of the nation's economy. A methodology has been developed to forecast the development of the nation's economy based on the forecast for automotive products export. The reliability of the statement that the sale of cars characterizes the development of the economy has been proved. The proposed methodology is recommended to be used for forecasting GDP, development of the nation's economy, and at the strategic level of planning the development of the automotive industry.

Single- versus multiple-item assessment of quality of life in patients with advanced cancer

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e20528-e20528
Author(s):  
S. H. Bush ◽  
H. A. Parsons ◽  
J. L. Palmer ◽  
R. Chacko ◽  
Z. Li ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Regression Analysis ◽  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Well Being ◽  
Pearson Correlation Coefficient ◽  
Spearman Correlation ◽  
Symptom Intensity

e20528 Background: The main objective of palliative cancer care is to improve quality of life (QOL). As multiple dimensions impact on the construct of QOL, multi-dimensional instruments are usually used in its measurement. These are time consuming and burdensome for repeated use. Recent authors have suggested that brief single-item global assessments can provide a reliable measure of QOL. We assessed the performance of the Edmonton Symptom Assessment System ‘feeling of well-being’ item (ESAS WB) using the Functional Assessment of Cancer Therapy - General (FACT-G) instrument as a gold standard. Methods: After obtaining IRB approval, we reviewed the data from 213 advanced cancer patients who had participated in six studies from March 2006 to June 2008 and determined the level of association between baseline ESAS WB and FACT-G total score and subscale domains (Physical (Pwb), Social/Family (Swb), Emotional (Ewb), and Functional (Fwb) Well-Being) and also the 9 ESAS symptom intensity scores using Spearman correlation coefficients. We also calculated the change between the baseline (T1) and second (T2) observations of ESAS WB and of FACT-G total score and determined their level of association using a Pearson correlation coefficient. In addition, we predicted the change in FACT-G as predicted by the change in ESAS WB score using regression analysis. Results: Mean age was 60 (SD 12) years and 48% were female. At T1, the Spearman correlation coefficient of ESAS WB and FACT-G was -0.48 (p<0.0001). Spearman correlation coefficients for ESAS WB and FACT-G subscale domains and ESAS symptom intensity scores were also highly significant (p<0.0001) for all physical and emotional symptoms (other than p=0.003 for nausea) except for FACT Swb (p=0.08). The Pearson correlation coefficient for difference between T1 and T2 in ESAS WB and FACT-G for 146 patients was -0.36 (p<0.0001). The regression analysis was highly significant (p<0.0001). The change in ESAS WB corresponding to FACT-G published minimally important difference (MID) was -0.24 for 3, -1.55 for 5, and -2.87 for 7, respectively. Conclusions: ESAS WB is a practical instrument for clinical use and best reflects the Pwb, Ewb and Fwb domains of FACT-G as compared to Swb. No significant financial relationships to disclose.

scholarly journals Predicting the Probability of Divorce Occurrence by the Index of Family Function

2016 ◽  
Vol 3 (4) ◽  
Author(s):  
Nazanin Mahdinia ◽  
Dr Mohammad Ghamari
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Correlation Coefficient ◽  
Female Student ◽  
Pearson Correlation ◽  
Pearson Correlation Coefficient ◽  
Family Function ◽  
Married Female

This study is designed to analyze the predicting the probability of divorce in women through family function among married student from Azad Abhar University. This study is base on correlation and randomly sampled. The targeted population for this study were 200 voluntary participant of married female student. This study includes family functional survey, Mac Master (FAD), and the instability of marriage (Probability of divorce) survey that data collected from the surveys were analyzed by Pearson correlation coefficient, and Multiple regression analysis. Findings from this study shows that there is a relation between family functions and probability of divorce.

scholarly journals Evaluation of the predictive power of job satisfaction by sleep quality and Morningness –eveningness types in nurses of academic centers in urmia 2019

2020 ◽  
Author(s):  
Masumeh HEMMATI MASLAK PAK ◽  
Farzin MOLLAZADEH ◽  
Hossein JAMSHIDI ◽  
Mohadeseh AMINI
Keyword(s):  
Job Satisfaction ◽  
Regression Analysis ◽  
Linear Regression ◽  
Sleep Quality ◽  
Correlation Coefficient ◽  
Predictive Power ◽  
Pearson Correlation ◽  
Linear Regression Analysis ◽  
Teaching Hospitals ◽  
Pearson Correlation Coefficient

Introduction: Nurses' job satisfaction is a serious issue for health care systems so that decreased job satisfaction can cause problems for nurses and health systems. Job satisfaction can be affected by sleep quality and the morningness- eveningness preference (chronotypes) of nurses. The present study aimed to determine the predictive power of job satisfaction by sleep quality and morningness-eveningness chronotypes of nurses working in Urmia teaching hospitals in 2020. Methods: A total of 327 nurses working in teaching hospitals affiliated to Urmia University of Medical Sciences were enrolled in the study. Sampling was conducted using simple random method. Data were collected using Demographic information questionnaires, Pittsburgh Sleep Quality Index, Minnesota Satisfaction Questionnaire, and Composite Scale of Morningness. Data were analyzed using descriptive statistics, measures of central tendency, Pearson correlation coefficient, independent samples t-test, two-way ANOVA, and linear regression analysis. All statistical analysis were conducted using SPSS software version 16.0 (SPSS Inc., Chicago, Ill., USA). Results: The results of linear regression analysis and Pearson correlation coefficient indicated that there is a significant correlation between the job satisfaction and the sleep quality in nurses as an improvement in sleep quality leads to higher job satisfaction (P <0.01) and the sleep quality is one of the predictors of job satisfaction (P = 0.002). However, there was no significant correlation between the nurses’ job satisfaction and their morningness-eveningness chronotypes (P> 0.01). Conclusion: Nurses with higher levels of sleep quality have higher job satisfaction, although the morningness-eveningness chronotypes of nurses have no significant effect on their job satisfaction.

scholarly journals The Impact Of Organizational Commitment On The Membership Growth In FGBMFI Chapter In East Java Region 1 In Surabaya

2021 ◽  
Vol 4 (2) ◽  
pp. 37-49
Author(s):  
Aditia Djaja Tjiptobusono
Keyword(s):  
Growth Rate ◽  
Regression Analysis ◽  
Organizational Commitment ◽  
Correlation Coefficient ◽  
Research Study ◽  
Pearson Correlation ◽  
Descriptive Analysis ◽  
Pearson Correlation Coefficient ◽  
Demographic Groups ◽  
The Impact

The title of The Impact of Organizational Commitment on The Membership Growth in FGBMFI Chapter in East Java Region 1 in Surabaya, was chosen by the author in this research study. The author wants to know whether the organizational commitment can increase the membership growth, especially in FGBMFI Chapter in  East Java Region 1 in Surabaya. Pearson correlation coefficient and regression analysis, t-test and analysis of variance are used as the methods of analysis in this matter. Descriptive analysis was conducted to analyze the growth rate of members in FGBMFI Chapter in East Java Region 1 in Surabaya according to demographic groups. It turns out that organizational commitment has an influence, which is 39.4%, on the member growth in FGBMFI Chapter in East Java Region 1 in Surabaya.

Pengaruh Kotbah, Musik Gereja Dan Fasilitas Gereja Terhadap Tingkat Kehadiran Jemaat

2016 ◽  
Vol 1 (1) ◽  
pp. 1-15
Author(s):  
Frederich Oscar Lontoh
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Church Music ◽  
Pearson Correlation ◽  
Descriptive Analysis ◽  
Target Population ◽  
The Other ◽  
Pearson Correlation Coefficient ◽  
Christian Church ◽  
The City

This research is titled " The influence of sermon, church music and church facilities on the level of attendance”. The purpose of research is to identify and analyze whether sermon, church music and church facilities have influence on the the level of attendance. The target population in this study is a Christian church members who live in the city of Surabaya.. Sample required is equal to 47 respondents. Through sampling stratified Random techniques.These influence was measured using Pearson correlation coefficient and multiple regression analysis, t-test and analysis of variance. Descriptive  analysis  were taken to analyze the level of attendance according to demographic groups.The hypothesis in this study are the sermon, church music and church facilities have positive and significant on the level of attendance. The results showed that collectively, there are positive and significant correlation among the sermon, church music and church facilities on the level of attendance  96,2%. It means that 96,2 % of level of attendance influenced by sermon, church music and church facilities and the other 28,9% by others. All of the variable partially have significant correlation to level of attendance.

Relationship between Invasive and Non-Invasive Hemodynamic Measures in Experimental Pulmonary Hypertension

2020 ◽  
Vol 16 (1) ◽  
pp. 47-53
Author(s):  
Vicente Benavides-Córdoba ◽  
Mauricio Palacios Gómez
Keyword(s):  
Heart Rate ◽  
Pulmonary Hypertension ◽  
Ejection Fraction ◽  
Right Ventricle ◽  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Systolic Pressure ◽  
Control Group ◽  
Pearson Correlation Coefficient ◽  
Non Invasive

Introduction: Animal models have been used to understand the pathophysiology of pulmonary hypertension, to describe the mechanisms of action and to evaluate promising active ingredients. The monocrotaline-induced pulmonary hypertension model is the most used animal model. In this model, invasive and non-invasive hemodynamic variables that resemble human measurements have been used. Aim: To define if non-invasive variables can predict hemodynamic measures in the monocrotaline-induced pulmonary hypertension model. Materials and Methods: Twenty 6-week old male Wistar rats weighing between 250-300g from the bioterium of the Universidad del Valle (Cali - Colombia) were used in order to establish that the relationships between invasive and non-invasive variables are sustained in different conditions (healthy, hypertrophy and treated). The animals were organized into three groups, a control group who was given 0.9% saline solution subcutaneously (sc), a group with pulmonary hypertension induced with a single subcutaneous dose of Monocrotaline 30 mg/kg, and a group with pulmonary hypertension with 30 mg/kg of monocrotaline treated with Sildenafil. Right ventricle ejection fraction, heart rate, right ventricle systolic pressure and the extent of hypertrophy were measured. The functional relation between any two variables was evaluated by the Pearson correlation coefficient. Results: It was found that all correlations were statistically significant (p <0.01). The strongest correlation was the inverse one between the RVEF and the Fulton index (r = -0.82). The Fulton index also had a strong correlation with the RVSP (r = 0.79). The Pearson correlation coefficient between the RVEF and the RVSP was -0.81, meaning that the higher the systolic pressure in the right ventricle, the lower the ejection fraction value. Heart rate was significantly correlated to the other three variables studied, although with relatively low correlation. Conclusion: The correlations obtained in this study indicate that the parameters evaluated in the research related to experimental pulmonary hypertension correlate adequately and that the measurements that are currently made are adequate and consistent with each other, that is, they have good predictive capacity.

scholarly journals Bed-Based Ballistocardiography: Dataset and Ability to Track Cardiovascular Parameters

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 156
Author(s):  
Charles Carlson ◽  
Vanessa-Rose Turpin ◽  
Ahmad Suliman ◽  
Carl Ade ◽  
Steve Warren ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Stroke Volume ◽  
Systolic Blood Pressure ◽  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Health Assessment ◽  
Initial Study ◽  
Pearson Correlation Coefficient ◽  
Medical Systems ◽  
Cardiovascular Parameters

Background: The goal of this work was to create a sharable dataset of heart-driven signals, including ballistocardiograms (BCGs) and time-aligned electrocardiograms (ECGs), photoplethysmograms (PPGs), and blood pressure waveforms. Methods: A custom, bed-based ballistocardiographic system is described in detail. Affiliated cardiopulmonary signals are acquired using a GE Datex CardioCap 5 patient monitor (which collects ECG and PPG data) and a Finapres Medical Systems Finometer PRO (which provides continuous reconstructed brachial artery pressure waveforms and derived cardiovascular parameters). Results: Data were collected from 40 participants, 4 of whom had been or were currently diagnosed with a heart condition at the time they enrolled in the study. An investigation revealed that features extracted from a BCG could be used to track changes in systolic blood pressure (Pearson correlation coefficient of 0.54 +/− 0.15), dP/dtmax (Pearson correlation coefficient of 0.51 +/− 0.18), and stroke volume (Pearson correlation coefficient of 0.54 +/− 0.17). Conclusion: A collection of synchronized, heart-driven signals, including BCGs, ECGs, PPGs, and blood pressure waveforms, was acquired and made publicly available. An initial study indicated that bed-based ballistocardiography can be used to track beat-to-beat changes in systolic blood pressure and stroke volume. Significance: To the best of the authors’ knowledge, no other database that includes time-aligned ECG, PPG, BCG, and continuous blood pressure data is available to the public. This dataset could be used by other researchers for algorithm testing and development in this fast-growing field of health assessment, without requiring these individuals to invest considerable time and resources into hardware development and data collection.

scholarly journals Assessment of the Dissimilarities of EDI and SPI Measures for Drought Determination in South Africa

Water ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 82
Author(s):  
Omolola M. Adisa ◽  
Muthoni Masinde ◽  
Joel O. Botai
Keyword(s):  
South Africa ◽  
South African ◽  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Standardized Precipitation Index ◽  
Drought Monitoring ◽  
Drought Indices ◽  
Drought Severity ◽  
Pearson Correlation Coefficient ◽  
Drought Duration

This study examines the (dis)similarity of two commonly used indices Standardized Precipitation Index (SPI) computed over accumulation periods 1-month, 3-month, 6-month, and 12-month (hereafter SPI-1, SPI-3, SPI-6, and SPI-12, respectively) and Effective Drought Index (EDI). The analysis is based on two drought monitoring indicators (derived from SPI and EDI), namely, the Drought Duration (DD) and Drought Severity (DS) across the 93 South African Weather Service’s delineated rainfall districts over South Africa from 1980 to 2019. In the study, the Pearson correlation coefficient dissimilarity and periodogram dissimilarity estimates were used. The results indicate a positive correlation for the Pearson correlation coefficient dissimilarity and a positive value for periodogram of dissimilarity in both the DD and DS. With the Pearson correlation coefficient dissimilarity, the study demonstrates that the values of the SPI-1/EDI pair and the SPI-3/EDI pair exhibit the highest similar values for DD, while the SPI-6/EDI pair shows the highest similar values for DS. Moreover, dissimilarities are more obvious in SPI-12/EDI pair for DD and DS. When a periodogram of dissimilarity is used, the values of the SPI-1/EDI pair and SPI-6/EDI pair exhibit the highest similar values for DD, while SPI-1/EDI displayed the highest similar values for DS. Overall, the two measures show that the highest similarity is obtained in the SPI-1/EDI pair for DS. The results obtainable in this study contribute towards an in-depth knowledge of deviation between the EDI and SPI values for South Africa, depicting that these two drought indices values are replaceable in some rainfall districts of South Africa for drought monitoring and prediction, and this is a step towards the selection of the appropriate drought indices.

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