scholarly journals REGRESSION ANALYSIS OF THE SEISMIC AND GEOPHYSICAL PARAMETERS AND ITS APPLICATION FOR SEISMICITY STUDY OF THE TRANSCARPATHIAN REGION

2020 ◽  
pp. 49-53
Author(s):  
M. Homyak ◽  
D. Malytskyy ◽  
О. Astashkina ◽  
M. Makhnitskyy ◽  
S. Kravets ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Statistical Model ◽  
Environmental Parameters ◽  
Observation Point ◽  
Statistical Regression ◽  
Earthquake Parameters ◽  
Geoacoustic Emission ◽  
Carpathian Region ◽  
Different Depths ◽  
The Relationship

The purpose of this work is to interpret the experimental data (deformation, geoacoustic and earthquake parameters) and to establish their relation with the seismicity of the Transcarpathian region using statistical (regression) analysis. The correlation of geophysical parameters is described, namely: deformation, geoacoustic emission and seismic characteristics of magnitude and energy class.For construction of the statistical (regression) model, geoacoustic and deformation data for the period of 2014, as well as data of the seismological catalog provided by the seismicity department of the Carpathian region (Subbotin Institute of Geophysics of NAS of Ukraine) were used. The statistical model of seismicity is built to analyze various geophysical parameters and to establish their relationship with each other by means of regression analysis.This interconnection will give an opportunity to understand how seismicity influences the change of various environmental parameters of the Transcarpathian region. The deformation and geoacoustic data used in the work were obtained at the mode geophysical station (MGS) "Beregove" and the observation point "Janoshi" (Transcarpathia). The basic regression analysis formulas used to construct a linear statistical model are given. According to the seismic catalog, a graph of dependence between energy class (K) and magnitude (MD) for the period 2002–2016 was constructed, which confirmed their dependence, as well as a histogram of seismic activity for the period 2002–2016, from which it follows that the largest number of events was in 2015. The tables, on which graphs of seismicity dependence on deformation and geoacoustics, are presented. The relationship between the magnitude (MI) and the offset shift (lg DP) in depth (h) is shown. Studies were conducted for different depths: 1) up to 2 km, 2) from 2–5 km, 3)5–10 km and 4) from 10 km or more. The results showed that the greater the depth, the greater the relationship between the magnitude (MI) and the offset shift (lg DP) is. Such studies are needed to identify the effect of seismicity on the change of other environmental parameters, in particular, temperature, characteristics of earthquake foci, which will allow building an existing model of seismicity of the Transcarpathian region.

Explorations in statistics: regression

2011 ◽  
Vol 35 (4) ◽  
pp. 347-352 ◽  
Author(s):  
Douglas Curran-Everett
Keyword(s):  
Regression Analysis ◽  
Regression Model ◽  
Statistical Regression ◽  
Essential Component ◽  
The Relationship ◽  
Residual Plots

Learning about statistics is a lot like learning about science: the learning is more meaningful if you can actively explore. This seventh installment of Explorations in Statistics explores regression, a technique that estimates the nature of the relationship between two things for which we may only surmise a mechanistic or predictive connection. Regression helps us answer three questions: does some variable Y depend on another variable X; if so, what is the nature of the relationship between Y and X; and for some value of X, what value of Y do we predict? Residual plots are an essential component of a thorough regression analysis: they help us decide if our statistical regression model of the relationship between Y and X is appropriate.

scholarly journals The Application of Statistical Regression for Geographical Data Analysis

2004 ◽  
Vol 11 (2) ◽  
Author(s):  
P Priyono
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Subject Matter ◽  
Causal Relation ◽  
Computer Software ◽  
Statistical Technique ◽  
Statistical Regression ◽  
Close Attention ◽  
Geographical Data ◽  
The Relationship

Application of regression statistic to analyse geography data is getting familiar, as the reason that geography object is really wide, kwantitative approach of geography and availibilty computer software of regression analysis which is getting complete and refresentative. The way of making decision and prediction constitutes the superiority of regression analysis and constitutes the issue which is often met by geographer in the study of geography object. It not only phenomena of human geography, but phisycal geography phenomena is also able to be approtached by regression analysis. For user the attentions that ought to be noticed are 1) regression statistic ought to be appraised as a fool and not as a brain, so that researcher is the main important operator; 2) mastery of geography subject matter constitutes an essential basis; 3) statistic is able to work if there is a detum which is able to fulfill the term of requirements and preceded by a logic causal relation; 4) close attention of reasearcher is highly required; 5) when must, researcher use the  statistic and the relationship between data type and statistical technique.

Regression Analysis

2018 ◽  
pp. 170-205
Author(s):  
Quan Li
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Statistical Model ◽  
Regression Model ◽  
Ordinary Least Squares ◽  
Theory And Practice ◽  
Model Fit ◽  
Theoretical Argument ◽  
Markov Theorem ◽  
The Relationship

This chapter teaches how to use R to conduct regression analysis to answer the question: Does trade promote economic growth? It demonstrates how to specify a statistical model from a theoretical argument, prepare data, estimate and interpret the statistical model, and use the estimated results to make inferences and answer the question of interest. More specifically, it discusses the logic of regression analysis, the relationship between population and sample regression models, how to estimate a regression model in theory and practice, the estimation of sample regression model using OLS (ordinary least squares), the interpretation of estimation results, the statistical inference in regression analysis using hypothesis testing and confidence interval, the types of sum of squares and overall model fit, and how to report the model results. The validity of regression analysis is contingent upon the assumptions of the Gauss-Markov theorem being met.

Poor Acceptance of the Past is Related to Depressive Symptoms in Older Adults

GeroPsych ◽  
2020 ◽  
Vol 33 (4) ◽  
pp. 246-251
Author(s):  
Gozde Cetinkol ◽  
Gulbahar Bastug ◽  
E. Tugba Ozel Kizil
Keyword(s):  
Older Adults ◽  
Regression Analysis ◽  
Depressive Symptoms ◽  
Death Anxiety ◽  
Geriatric Depression ◽  
Ego Integrity ◽  
The Past ◽  
Depressed Group ◽  
Total Death ◽  
The Relationship

Abstract. Depression in older adults can be explained by Erikson’s theory on the conflict of ego integrity versus hopelessness. The study investigated the relationship between past acceptance, hopelessness, death anxiety, and depressive symptoms in 100 older (≥50 years) adults. The total Beck Hopelessness (BHS), Geriatric Depression (GDS), and Accepting the Past (ACPAST) subscale scores of the depressed group were higher, while the total Death Anxiety (DAS) and Reminiscing the Past (REM) subscale scores of both groups were similar. A regression analysis revealed that the BHS, DAS, and ACPAST predicted the GDS. Past acceptance seems to be important for ego integrity in older adults.

HUBUNGAN KEPADATAN BIVALVIA DENGAN PARAMETER LINGKUNGAN DI PESISIR TANJUNG PURA KABUPATEN BANGKA TENGAH

2020 ◽  
Vol 13 (2) ◽  
pp. 112-121
Author(s):  
Sudiyar . ◽  
Okto Supratman ◽  
Indra Ambalika Syari
Keyword(s):  
Negative Impact ◽  
Principal Component ◽  
Environmental Parameters ◽  
Data Retrieval ◽  
Distribution Patterns ◽  
Random System ◽  
System Method ◽  
Relationship Of ◽  
The Relationship ◽  
Anadara Granosa

The destructive fishing feared will give a negative impact on the survival of this organism. This study aims to analyze the density of bivalves, distribution patterns, and to analyze the relationship of bivalves with environmental parameters in Tanjung Pura village. This research was conducted in March 2019. The systematic random system method was used for collecting data of bivalves. The collecting Data retrieval divided into five research stasions. The results obtained 6 types of bivalves from 3 families and the total is 115 individuals. The highest bivalve density is 4.56 ind / m², and the lowest bivalves are located at station 2,1.56 ind / m²,  The pattern of bivalve distribution in the Coastal of Tanjung Pura Village is grouping. The results of principal component analysis (PCA) showed that Anadara granosa species was positively correlated with TSS r = 0.890, Dosinia contusa, Anomalocardia squamosa, Mererix meretrix, Placamen isabellina, and Tellinella spengleri were positively correlated with currents r = 0.933.

INTERAKSI BUDAYA ETIS DAN KECERDASAN SPIRITUAL PADA HUBUNGAN MUATAN ETIKA DAN PERILAKU ETIS MAHASISWA (Survey pada Pendidikan Vokasi Akuntansi di Yogyakarta)

Equity ◽  
2017 ◽  
Vol 20 (1) ◽  
pp. 1
Author(s):  
Rahmawati Hanny Y
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Vocational Education ◽  
Ethical Behavior ◽  
Sampling Technique ◽  
Spiritual Intelligence ◽  
Ethical Culture ◽  
Research Use ◽  
Ethical Content ◽  
The Relationship

This study aims to analyze the interaction of ethical culture, spiritual intelligence, ethical content, and students' ethical behavior. The population in this study is a student at one of the leading accounting vocational education institutions in Yogyakarta. Sampling technique in this research use purposive sampling. The number of samples in this study was 368 respondents. Data analysis using Moderated Regression Analysis (MRA). The results of this study indicate that the content of ethics affect the student's ethical behavior. The interaction of ethical culture on the relationship between ethical content and ethical behavior suggests it can strengthen its influence. Similarly, the interplay of spiritual intelligence that demonstrates can strengthen the relationship between ethical content and student ethical behavior.

Analisa Pemilihan Moda Transportasi Umum Rute Tanjung Karang – Bandara Radin Inten II Dengan Stated Preference dan Uji Crame’s V

2018 ◽  
Vol 2 (2) ◽  
pp. 137
Author(s):  
Muhammad Abi Berkah Nadi
Keyword(s):  
Regression Analysis ◽  
Utility Function ◽  
Stated Preference ◽  
Technical Analysis ◽  
Chi Square ◽  
Time Headway ◽  
Independent Variable ◽  
The Relationship ◽  
Selection Of

Radin Inten II Airport is a national flight in Lampung Province. In this study using the technical analysis stated preference which is the approach by conveying the choice statement in the form of hypotheses to be assessed by the respondent. By using these techniques the researcher can fully control the hypothesized factors. To determine utility function for model forecasting in fulfilling request of traveler is used regression analysis with SPSS program. The analysis results obtained that the passengers of the dominant airport in the selection of modes of cost attributes than on other attributes. From the result of regression analysis, the influence of independent variable to the highest dependent variable is when the five attributes are used together with the R square value of 8.8%. The relationship between cost, time, headway, time acces and service with the selection of modes, the provision that states whether or not there is a decision. The significance of α = 0.05 with chi-square. And the result of Crame's V test average of 0.298 is around the middle, then the relationship is moderate enough.

LOYALITAS PELANGGAN: PERAN CITRA MEREK DAN KUALITAS PRODUK

2019 ◽  
Vol 4 (3) ◽  
pp. 391-400
Author(s):  
Machmed Tun Ganyang
Keyword(s):  
Regression Analysis ◽  
Product Quality ◽  
Customer Loyalty ◽  
Brand Image ◽  
Dominant Factor ◽  
Consumer Loyalty ◽  
The Relationship

This study aims to examine the relationship between brand image and product quality on customer loyalty in sports products. Data were collected through a questionnaire of 68 respondents. Through regression analysis, the results show that brand image and quality can explain variations in consumer loyalty with the brand image as a dominant factor. This finding implies that producers can increase consumer loyalty by enhancing brand image. Companies need to think about how to develop key messages so that consumers can clearly understand the position of the product. The unique aspects of the product need to be improved to create a special impression on the customer. Keywords: brand image, produk quality, customer loyalty

An Investigation on Extrinsic and Intrinsic Rewards on Employee Retention among Gen Y: A Study in Malaysian Manufacturing Companies

2020 ◽  
Vol 3 (1) ◽  
Keyword(s):  
Regression Analysis ◽  
Employee Retention ◽  
Future Research ◽  
Manufacturing Companies ◽  
Extrinsic Reward ◽  
Intrinsic Rewards ◽  
Gen Y ◽  
Intrinsic Reward ◽  
Factors Influencing ◽  
The Relationship

The aim of this study is to investigate the relationship between extrinsic and intrinsic reward on retention among Gen Y employees in Malaysian manufacturing companies. The data was collected from 113 respondents worked in manufacturing companies located in Seri Kembangan, Selangor using questionnaires. Multiple regression analysis was conducted to test the hypotheses. The results showed both extrinsic and intrinsic reward are the factors influencing retaining Gen Y in manufacturing companies. The discussion on the analysis, limitation of the study, recommendation for future research and conclusion were discussed at the end of this study. In a nutshell, it was proven extrinsic reward and intrinsic reward has contributed to the retention of Gen Y employees.

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