A Simple Linear Regression Approach to Modeling and Forecasting Mortality Rates

2015 ◽  
Vol 34 (7) ◽  
pp. 543-559 ◽  
Author(s):  
Tzuling Lin ◽  
Cary Chi-liang Tsai
Keyword(s):  
Linear Regression ◽  
Mortality Rates ◽  
Simple Linear Regression ◽  
Modeling And Forecasting ◽  
Regression Approach

scholarly journals Perfil epidemiológico do suicídio em Montes Claros de 2007 a 2017

2020 ◽  
Vol 5 (8) ◽  
pp. 40-46
Author(s):  
Guilherme Aguiar Dias ◽  
Maria Luiza Sales Araújo ◽  
Luiza Augusta Rosa Rossi-Barbosa
Keyword(s):  
Information System ◽  
Linear Regression ◽  
Linear Regression Model ◽  
Average Rate ◽  
Mortality Rates ◽  
Minas Gerais ◽  
Suicide Mortality ◽  
Simple Linear Regression ◽  
Epidemiological Profile ◽  
The City

Este estudo objetivou descrever o perfil sociodemográfico e o método utilizado para o suicídio na cidade de Montes Claros, Minas Gerais. Os dados foram obtidos a partir do Sistema de Informações sobre Mortalidade do Sistema Único de Saúde (SIM/DATASUS) de 2007 a 2017 e analisados segundo as seguintes variáveis: sexo, idade, estado civil, cor e método utilizado. Usou-se o modelo de regressão linear simples para verificar a tendência dos óbitos. Ocorreram 182 óbitos por suicídio, o que corresponde a uma taxa média de 4,38 mortes por 100 mil habitantes, com predomínio nos indivíduos do sexo masculino, de cor parda, na faixa etária de 30 a 59 anos e estado civil solteiro. O enforcamento foi o método mais utilizado. Caracterizou-se o perfil epidemiológico do suicídio em Montes Claros, observando-se também tendência decrescente das taxas de mortalidade por suicídio geral e no sexo feminino.Descritores: Suicídio, Óbitos, Epidemiologia. Epidemiological profile of suicide in Montes Claros from 2007 to 2017Abstract: The aim of this study was to describe the suicide mortality in a region of Minas Gerais. Data were obtained from the Mortality Information System of the Ministry of Health using the variables related to gender, age, marital status, race, method used, from 2007 until 2017. The simple linear regression model was used to verify the trend of deaths in that period. 182 deaths by suicide occurred in the city, which corresponded to an average rate of 4,38 deaths per 100 thousand inhabitants. The results pointed to a predominance of deaths in: men, black, ages from 30 to 59, single. The most common method was hanging. It was observed a decreasing trend in mortality rates from suicide in general and in women.Descriptors: Suicide, Deaths, Epidemiology. Perfil epidemiológico del suicidio en Montes Claros de 2007 a 2017Resumen: Describir el perfil sociodemográfico y el método utilizado para el suicidio en Montes Claros, Minas Gerais. Los datos se obtuvieron del Sistema de Información de Mortalidad del Sistema Único de Salud (SIM / DATASUS) de 2007 a 2017 y se analizaron de acuerdo con las variables: sexo, edad, estado civil, color y método utilizado. El modelo de regresión lineal simple se utilizó para verificar la tendencia de las muertes. Hubo 182 muertes por suicidio, lo que corresponde a una tasa promedio de 4,38 muertes por cada 100 mil habitantes, con un predominio de masculinos, de color marrón, con edades entre 30 y 59 años y estado civil soltero. Ahorcamiento fue el método más utilizado. Se caracterizó el perfil epidemiológico del suicidio en Montes Claros, observando también una tendencia decreciente en las tasas de mortalidad en el suicidio general y entre las mujeres.Descriptores: Suicidio, Muertes, Epidemiología.

scholarly journals Asthma mortality in Brazil, 1980-2012: a regional perspective

2018 ◽  
Vol 44 (5) ◽  
pp. 354-360 ◽  
Author(s):  
Thaís de Sá Brito ◽  
Ronir Raggio Luiz ◽  
José Roberto Lapa e Silva ◽  
Hisbello da Silva Campos
Keyword(s):  
Linear Regression ◽  
Cause Of Death ◽  
The Elderly ◽  
Mortality Rates ◽  
Age Group ◽  
Simple Linear Regression ◽  
Opposite Trend ◽  
Opposite Behavior ◽  
Urban Rural ◽  
Asthma Mortality

ABSTRACT Objective: To estimate asthma mortality rates in Brazil for the period 1980-2012. Methods: On the basis of data from the Brazilian National Ministry of Health Mortality Database, we estimated mortality rates by calculating moving averages from a municipal perspective that would allow an evaluation differentiating between urban, rural, and intermediate (rurban) Brazil during the period 2002-2012. Trends were assessed using simple linear regression. Results: On average, 2,339 asthma-related deaths were reported per year during the study period. Asthma ranged from the 53rd to 95th leading cause of death. There was a decrease in asthma mortality rates in the country, from 1.92/100,000 population in 1980 to 1.21/100,000 population in 2012. From the municipal perspective, rates fell in urban and rurban Brazil, but increased in rural Brazil, except in the 5-34-year age group. Asthma mortality rates fell in the population under 25 years of age and increased among those over 74 years of age. Rates were always higher in females. Conclusions: Asthma mortality rates in Brazil have been decreasing slightly, with the decrease being more marked in the decade 2002-2012. Only the northeastern region of Brazil showed the opposite trend. Asthma mortality rates in urban and rurban Brazil showed a downward trend similar to that of the national scenario, whereas rural Brazil showed the opposite behavior. Analysis by age group showed that rates decreased among younger individuals and increased among the elderly aged ≥ 75 years.

Mental Chronometry with Simple Linear Regression

1997 ◽  
Vol 85 (2) ◽  
pp. 499-513
Author(s):  
Jenn-Yeu Chen
Keyword(s):  
Linear Regression ◽  
Mental Rotation ◽  
Regression Function ◽  
Memory Scanning ◽  
Simple Linear Regression ◽  
Superiority Effect ◽  
Mental Chronometry ◽  
Regression Approach ◽  
Independent Variable ◽  
The Times

Typically, mental chronometry is performed by means of introducing an independent variable postulated to affect selectively some stage of a presumed multistage process. However, the effect could be a global one that spreads proportionally over all stages of the process. Currently, there is no method to test this possibility although simple linear regression might serve the purpose. In the present study, the regression approach was tested with tasks (memory scanning and mental rotation) that involved a selective effect and with a task (word superiority effect) that involved a global effect, by the dominant theories. The results indicate (1) the manipulation of the size of a memory set or of angular disparity affects the intercept of the regression function that relates the times for memory scanning with different set sizes or for mental rotation with different angular disparities and (2) the manipulation of context affects the slope of the regression function that relates the times for detecting a target character under word and nonword conditions. These ratify the regression approach as a useful method for doing mental chronometry.

The Contribution of Sexual Identity Towards the Students’ Perception of Lesbian, Gay, Bisexual, and Transgender

10.32698/0642 ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. 120
Author(s):  
Wiwi Delfita ◽  
Neviyarni S. ◽  
Riska Ahmad
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Sexual Identity ◽  
Student Perceptions ◽  
Undergraduate Students ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Simple Linear Regression ◽  
Simple Linear Regression Analysis ◽  
Bisexual And Transgender

Some students perceive lesbian, gay, bisexual, and transgender (LGBT) positively, even though LGBT is a sexual deviation that is not appropriate with values and norms. There are several factors that influence an individual's perception of LGBT, including sexual identity. This study aims at looking at the contribution of sexual identity to student perceptions about LGBT. This research used a quantitative approach with a descriptive method and a simple linear regression analysis. The sample of this research was 385 taken from 15.752 undergraduate students of Universitas Negeri Padang which the sample was drawn by using the Slovin formula and continued with a Proportional Random Sampling technique. The instrument used was the Guttman model's sexual identity scale and the scale of students' perceptions of the LGBT Likert model. After analyzing the data with the descriptive technique and the simple linear regression analysis, the results showed that sexual identity significantly contributed to the students' perceptions of LGBT. This research has implications as a basis for counselors to help students avoid sexual identity mismatches and prevent the emergence of positive perceptions of LGBT.

Pengaruh Penghargaan Terhadap Kinerja Karyawan pada CV. Dino Manunggal Karsa Bogor

2019 ◽  
Vol 4 (2) ◽  
pp. 17
Author(s):  
Dedy Mulyadi ◽  
Didik Purwanto
Keyword(s):  
Linear Regression ◽  
Performance Assessment ◽  
Correlation Coefficient ◽  
Linear Regression Analysis ◽  
Strong Relationship ◽  
Simple Linear Regression ◽  
New Employees ◽  
Company Policy ◽  
Effective Manner ◽  
Relationship Of

The question of compensation in addition to sensitive to be driving someone to worl due to an effect on morale and discipline employees. Therefore , any  agency or any organization should be able to provide compensation equal to the workload  to create a workforce that efficient and effective manner can be realized. Amaore than that, the company’s goal to improve performance. Performance assessment is a subjective process that involves human judgments. Thus, performance assessment is very likely wrong and very easily influonced by sources that are not actual, so it must be taken into account and considered reasinable. Frformance appraisals are considered  to meet the target if it has a good impact on new employees who rated their performance. Simple linear regression analysis using SPSS version 12:00 data processing obtained tegression equation Y = 0,487 X 74 + with an explanation of X = award, 74 = constant, 0.487 = coefficient awards, and Y = performance based on simple linear regression equation in case of increase of one unit of the  performance award will be increased 0.487 units. If company policy negates the performance award will remain at a constant rate (74) units . (A) Test results obtained thitung significant constants of (12.574) > t table for (1.960 then reject Ho constanta significant meaning. (B) significant Test award coefficient t count the results obtained by (2.164)> t table foe (1.96) then reject Ho the mean coeffent of appreciation affect the performance . (C) correlation coefficient analysis is done by calculating the product moment corration (pearson)  to test  whether or not a strong  relationship between the variables X  dan Y , based on the results of cakculations with SPSS  table valuse obtained by calculating the  correlation coefficient r (0.3100> r on the table for a = 0,05 (0.291) then reject Ho, which means there is a relationship of respect for performance. When we enter these valuse in the table shows the interpretation of the correlation coefficient between the interval from 0.20 to 0.399 which has a low relationship

Maintaining Customer Loyalty by Intensifying Service Quality and Customer Satisfaction in Commuter Line Jabodetabek

2019 ◽  
Vol 10 (9) ◽  
pp. 902-909
Author(s):  
Umbas Krisnanto ◽  
◽  
Conny Marpaung ◽  
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Hypothesis Testing ◽  
Customer Loyalty ◽  
T Test ◽  
Coefficient Of Determination ◽  
Simple Linear Regression ◽  
Significance Level

This study aims to determine and analyze the influence of Service Quality and Customer Satisfaction on Customer Loyalty in Jabodetabek Commuter Line. The sample of this study was 50 people. Methods of collecting data by distributing questionnaires. Data analysis using the analysis used is simple linear regression, t test and coefficient of determination. The results showed 1) Service Quality has a positive and significant effect on Customer Loyalty in Jabodetabek Commuter Line, with a significance level of 0.048; and supported by the results of hypothesis testing with a t-count value of 4.433 > t-table value of 1.95, with a significance of 0.048 or < 0.05; 2) Customer Satisfaction positive and significant effect on Customer Loyalty in Jabodetabek Commuter Line, with a level significance of 0,000; and supported by the results of hypothesis testing with a t-count value of 4,969 > t-table value of 1.95, with a significance of 0,000 or < 0.05, 3) Service quality and Customer Satisfaction have a positive and significant effect on Customer Loyalty in Jabodetabek Commuter Line, with a significance level of 0,000. This means that the hypothesis H0 is rejected and Ha is accepted so that it can be concluded that service quality and customer satisfaction together have a positive and significant effect on customer loyalty in Jabodetabek Commuter Line.

PENGARUH INTELLECTUAL CAPITAL TERHADAP KINERJA KEUANGAN PADA PERUSAHAAN BARANG KONSUMSI YANG TERDAFTAR DI BEI TAHUN 2015-2017

2019 ◽  
Vol 3 (2) ◽  
pp. 26
Author(s):  
Niken Ayu Wulandari ◽  
Tegoeh Hari Abrianto ◽  
Edi Santoso
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Financial Performance ◽  
Intellectual Capital ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Simple Linear Regression ◽  
Return On Equity ◽  
Asset Turnover

This research to analyze and evaluate intellectual capital on financial performance obtained by return on equity, asset turnover and growth in revenue. The population in this study are consumer goods companies listed on the Stock Exchange in 2015-2017. The research sample was received by 21 companies obtained by using purposive sampling technique. The analytical method used is simple linear regression analysis with the SPSS version 20 application and uses the VAICTM method to measure intellectual capital. The results of this study indicate that intellectual capital has a significant effect on financial performance generated by return on equity, but intellectual capital does not have a significant effect on financial performance required by asset turnover and growth in revenue.

IMPLEMENTASI ALGORITMA REGRESI LINEAR SEDERHANA DALAM MEMPREDIKSI BESARAN PENDAPATAN DAERAH (STUDI KASUS: DINAS PENDAPATAN KAB. DELI SERDANG)

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Fransiskus Ginting ◽  
Efori Buulolo ◽  
Edward Robinson Siagian
Keyword(s):  
Data Mining ◽  
Linear Regression ◽  
Visual Basic ◽  
Large Contribution ◽  
Simple Linear Regression ◽  
Information Discovery ◽  
Regional Income ◽  
Local Revenue ◽  
Local Taxes ◽  
The Future

Data Mining is an information discovery by extracting information patterns that contain trend searches in a very large amount of data and assist the process of storing data in making a decision in the future. In determining the pattern classification techniques do to collect records (Training set). Regional income is generally derived from local taxes and levies, local taxes are one source of funding for the region on the national average has not been able to make a large contribution to the formation of local revenue. By utilizing Regional Revenue data, it can produce forecasting and predictions of Regional Revenue income in the future to match the reality / reality so that the planned RAPBD can run smoothly. Simple Linear Regression or often abbreviated as SLR (Simple Linear Regression) is one of the statistical methods used in production to make predictions or predictions about the characteristics of quality and quantity to describe the processes associated with data processing for the acquisition of regional income. So that in the testing phase with visual basic net can help in processing valid Regional Revenue Amount data. Keywords: Data Mining, Local Revenue, Simple Linear Regression Algorithm, Visual Basic net 2008

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