scholarly journals Can You Interpret the Partial Regression Coefficient?: Multiple Regression Analysis with Orthogonalized Predictor Variables

2017 ◽  
Vol 81 (0) ◽  
pp. SS-048-SS-048
Author(s):  
Takashi Akiyama ◽  
Saori Kubo ◽  
Ritsuko Oka ◽  
Tatsuya Sato ◽  
Satoshi Usami ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Regression Coefficient ◽  
Predictor Variables ◽  
Partial Regression ◽  
Partial Regression Coefficient

scholarly journals Pengaruh Motivasi Kerja Dan Disiplin Kerja Terhadap Kinerja Karyawan Pada Bank BRI Syariah

2021 ◽  
Vol 1 (1) ◽  
pp. 95
Author(s):  
Ruhul Amin ◽  
Siti Dina Hariroh
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Regression Coefficient ◽  
Analysis Tool ◽  
Business Organization ◽  
Probability Number

The current era of globalization has an impact on the development of a business, organization or company consisting of many components that compose into one unit for the same purpose, motivation and discipline in working at BRI Syariah bank. This type of research is quantitative, using the method of observation, interviews, questionnaires and documentation. Multiple regression analysis tool. Based on the results of the study, it shows that there is a positive and significant effect between variable X1 on variable Y has a regression coefficient value of 2.762. There is a positive but not significant effect between variable X2 on variable Y has a regression coefficient value of -.223. There is a positive and significant effect simultaneously between variables X1 and X2 on variable Y. Variable X1 is a variable that is considered more dominant and significant to variable Y with a probability number of 0.016 and a regression coefficient value of 2.762.

Sexual Satisfaction among Married Women Age 50 and Older

2000 ◽  
Vol 86 (3_part_2) ◽  
pp. 1107-1122
Author(s):  
Michael Young ◽  
George Denny ◽  
Tamera Young ◽  
Raffy Luquis
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Sexual Satisfaction ◽  
Married Women ◽  
Return Rate ◽  
Predictor Variables ◽  
Hierarchical Multiple Regression ◽  
Item Questionnaire ◽  
Stratified Sample

Correlates of sexual satisfaction were identified in a sample of older married women. A 70-item questionnaire was mailed to an age-stratified sample of 5,000 married persons, including 1,000 married women over the age of 50. Usable questionnaires were received from 148 participants (14.8% return rate). Hierarchical multiple regression analysis, using sexual satisfaction as the dependent variable, yielded five predictor variables that accounted for a significant portion of the variation in sexual satisfaction (Cumulative R2 = .73). These results serve as a reminder that sexual interactions cannot be compartmentalized but must be considered within the context of the overall marriage relationship. Given the low return rate, interpretations should be limited until replication with an adequate sample has been completed.

scholarly journals Effect of Work Compensation and Discipline on Employee Performance in PT. Berjaya Group Medan

2020 ◽  
Vol 2 (2) ◽  
pp. 470-479
Author(s):  
Sondang Ni Bulan Marbun ◽  
Donna Maryati Panggabean
Keyword(s):  
Regression Analysis ◽  
Data Processing ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Regression Coefficient ◽  
Employee Performance ◽  
Questionnaire Data ◽  
The Relationship ◽  
Descriptive Method

The purpose of this study was to analyze and determine the extent of the effect of compensation and work discipline on employee performance at PT. Berjaya Group Medan. Through a descriptive method involving 84 respondents, data was collected using a questionnaire. Data processing is done by SPSS using multiple regression analysis. The results show that compensation and work discipline have a regression coefficient which proves the relationship between compensation and discipline on performance at PT. Berjaya Group Medan.

scholarly journals PENGARUH MINAT DAN MOTIVASI BERWIRAUSAHA TERHADAP JIWA WIRAUSAHA SISWA

2020 ◽  
Vol 3 (1) ◽  
pp. 52-62
Author(s):  
Fitri Nurlaili ◽  
Sinta Terisnawati
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Significant Influence ◽  
Random Sampling ◽  
Regression Coefficient ◽  
Simple Random Sampling ◽  
Coefficient Of Determination ◽  
Entrepreneurial Spirit ◽  
Interest And Motivation

This research aims to know whether the entrepreneurial interest and entrepreneurship motivation influence entrepreneurial spirit and how much interest and motivation of entrepreneurship influence on entrepreneurial spirit of students. This research conducted during Juni 2019 at SMK Negeri 7 Kota Serang. The population in this research were student of SMK Negeri 7 Kota Serang, sampling using simple random sampling. The data was obtained by distributing questionnaries to 109 respondents.  Testing the hypothesis with multiple regression analysis, t-test, f-test, and coefficient of determination. The results of this study indicated that: (1) There was a positive and significant influence of interest in entrepreneurship on entrepreneurial spirit ,this was evidenced by having a regression coefficient t count> t table of (2.781> 1,982) and a significant value of 5%, (2) There was a positive and significant effect of entrepreneurial motivation on entrepreneurial spirit evidenced by having a regression coefficient t count> t table of (4,904> 1,982) and a significant value of 5%, (3) There was a positive and significant influence of interest and motivation in entrepreneurship together on entrepreneurial spirit. This was evidenced by having a regression coefficient fcount> ftabel of (50,478> 3.08) and a significant value of 5%, (4) the coefficient of determination (adjusted R2) obtained at 0.478 or 47.8%, while the rest is 52.2% Entrepreneurial spirit was influenced by variables other variables not examined in this study.

Sexual Satisfaction among Married Women Age 50 and Older

2000 ◽  
Vol 86 (3_suppl) ◽  
pp. 1107-1122 ◽  
Author(s):  
Michael Young ◽  
George Denny ◽  
Tamera Young ◽  
Raffy Luquis
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Sexual Satisfaction ◽  
Married Women ◽  
Return Rate ◽  
Predictor Variables ◽  
Hierarchical Multiple Regression ◽  
Item Questionnaire ◽  
Stratified Sample

Correlates of sexual satisfaction were identified in a sample of older married women. A 70-item questionnaire was mailed to an age-stratified sample of 5,000 married persons, including 1,000 married women over the age of 50. Usable questionnaires were received from 148 participants (14.8% return rate) Hierarchical multiple regression analysis, using sexual satisfaction as the dependent variable, yielded five predictor variables that accounted for a significant portion of the variation in sexual satisfaction (Cumulative R2 = .73). These results serve as a reminder that sexual interactions cannot be compartmentalized but must be considered within the context of the overall marriage relationship. Given the low return rate, interpretations should be limited until replication with an adequate sample has been completed.

The Importance of Structure Coefficients in Regression Research

1985 ◽  
Vol 45 (2) ◽  
pp. 203-209 ◽  
Author(s):  
Bruce Thompson ◽  
Gloria M. Borrello
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Experimental Research ◽  
Predictor Variables

Multiple regression analysis is frequently and increasingly being employed in both experimental and non-experimental research. However, when data include predictor variables that are correlated, either unavoidably or due to conscious design choices, some regression results can become difficult to interpret. The paper presents an actual study to provide a heuristic demonstration that structure coefficients may be helpful in these cases.

scholarly journals PENGARUH BUDAYA ORGANISASI, KOMPENSASI, KEPEMIMPINAN, DISIPLIN KERJA DAN MOTIVASI TERHADAP KEPUASAN KERJA DAN DAMPAKNYA PADA PRODUKTIVITAS KARYAWAN (STUDI KASUS PADA PT. PANAIRSAN PRATAMA)

Responsive ◽  
2020 ◽  
Vol 3 (1) ◽  
pp. 43
Author(s):  
Moch. Benny Alexandri ◽  
Wahid Akbar Basudani
Keyword(s):  
Job Satisfaction ◽  
Multiple Regression ◽  
Random Sampling ◽  
Regression Coefficient ◽  
Simple Random Sampling ◽  
Sample Survey ◽  
Survey Method ◽  
Partial Regression ◽  
Partial Regression Coefficient ◽  
Independent Variables

Penelitian ini bertujuan untuk mengetahui apakah terdapat pengaruh budaya organisasi, kompensasi, kepemimpinan, disiplin kerja dan motivasi terhadap kepuasan kerja dan dampaknya terhadap produktivitas karyawan PT. Panairsan Pratama. Strategi penelitian yang digunakan adalah strategi asosiatif. Adapun metode penelitian yang digunakan dalam penelitian ini adalah metode survey sampel. Populasi dalam penelitian ini adalah 60 karyawan PT. Panairsan Pratama. Jumlah sampel menggunakan stratified simple random sampling dimana 60 orang karyawan di klasifikasi berdasarkan jabatan sebesar 70% dari total populasi sehingga diperoleh 42 orang. Perhitungan statistik dimulai dari uji kualitas data (validitas, reliabilitas, dan normalitas). Metode analisis data yang digunakan adalah analisis jalur atau Path Analysis.Hasil penelitian diperoleh nilai koefisien regresi parsial X1 dengan Y adalah sebesar 0,363 ,X2dengan Y adalah sebesar -0,188, X3dengan Y adalah sebesar 0,347, X4dengan Y adalah sebesar -0,042,  X5 dengan Y adalah sebesar 0,473. Nilai koefesien regresi berganda antara variabel bebas  X1, X2, X3, X4, X5 terhadap Y adalah 0,661.  Nilai koefisien regresi parsial X1 dengan Z adalah sebesar -0,284 ,X2dengan Z adalah sebesar -0,134, X3dengan Z adalah sebesar --0,416, X4dengan Y adalah sebesar 0,468,  X5 dengan Z adalah sebesar 0,489, Y dengan Z sebesar 0,224. Nilai koefesien regresi berganda antara variabel bebas  X1, X2, X3, X4, X5 melalui Y terhadap Z adalah 0,394. Pengujian hipotesis secara simultan dengan  menunjukan terdapat pengaruh yang positif dan signifikan budaya organisasi, kompensasi,  kepemimpinan, disiplin kerja dan motivasi terhadap kepuasan kerja dan dampaknya terhadap produktivitas. This study aims to determine whether there is an influence of coorporate culture, compensation, leadership, work discipline and motivation on job satisfaction and its impact on the productivity of employees of PT. Panairsan Pratama. The research strategy used is associative strategy. The research method used in this study is the sample survey method. The population in this study were 60 employees of PT. Panairsan Pratama. The number of samples using stratified simple random sampling where 60 employees in the classification based on the position of 70% of the total population so that 42 people obtained. The statistical calculation starts from the test of data quality (validity, reliability, and normality). The data analysis method used is path analysis. The results obtained by partial regression coefficient X1 with Y is 0.363, X2 with Y is equal to -0.188, X3 with Y is equal to 0.347, X4 with Y is equal to -0.042, X5 with Y is 0.473. The multiple regression coefficient value between the independent variables X1, X2, X3, X4, X5 to Y is 0.661. Partial regression coefficient value X1 with Z is equal to -0.284, X2 with Z is equal to -0.134, X3 with Z is equal to -0.416, X4 with Y is 0.468, X5 with Z is 0.489, Y with Z is 0.224. Multiple regression coefficients between independent variables X1, X2, X3, X4, X5 through Y to Z are 0.394. Simultaneous hypothesis testing with α = 0.05 indicates that there is a positive and significant influence on coorporate culture, compensation, leadership, work discipline and motivation on job satisfaction and its impact on productivity.

Prediction of production: Elicited imitation and spontaneous speech productions of language disordered children

1983 ◽  
Vol 4 (4) ◽  
pp. 317-343 ◽  
Author(s):  
Margaret Lahey ◽  
Patricia B. Launer ◽  
Naomi Schiff-Myers
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Predictor Variables ◽  
Criterion Variable ◽  
Elicited Imitation ◽  
Language Impaired ◽  
Spontaneous Production ◽  
Contextual Support ◽  
Impaired Children

ABSTRACTTwo forms of an imitation task designed to elicit eleven language behaviors were presented to 32 language impaired children (mean age 7;4, mean MLU 2.9). The tasks differed in terms of the presence or absence of contextual support. To determine how well the imitation tasks could predict spontaneous productions, a multiple regression analysis was performed using the children's spontaneous productions of each behavior as the criterion variable and responses to the same behaviors on each imitation task plus age, sex, MLU, and a measure of memory as predictor variables. The major finding was that predictions of spontaneous production varied among the eleven language behaviors. Additionally, the presence of contextual support had little effect.

Predicting General Aviation Pilots’ Weather-Related Performance through a Scenario-Based Assessment

2017 ◽  
Vol 61 (1) ◽  
pp. 2000-2004
Author(s):  
Jessica Cruit ◽  
Christina Frederick ◽  
Beth Blickensderfer ◽  
Joseph R. Keebler ◽  
Thomas Guinn
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
General Aviation ◽  
Predictor Variables ◽  
Flight Safety ◽  
Additional Education ◽  
Aviation Pilots ◽  
And Training ◽  
Aviation Weather

Weather-related accidents continue to challenge the general aviation (GA) community and with the development of advanced weather technology, GA pilots need additional education and training on how to effectively use these weather products to ensure flight safety. Currently, the literature on aviation weather suggests that there is a gap in both training and assessment strategy for GA pilots. Furthermore, several studies advocate assessing GA pilots at a deeper level of learning by including weather-based, scenario/application questions on the Federal Aviation Administration’s (FAA) written exam for private pilots. After first developing a scenario-based, aviation weather assessment, we used a multiple regression analysis to predict aviation weather performance from 90 GA pilots. In addition, we used Baron and Kenny’s (1986) test for mediation to predict aviation weather performance from four predictor variables (i.e., a scenario-based aviation weather assessment, a traditional, non-scenario-based weather assessment, weather salience, and aviation weather experience). The results of the study indicated that scores on the scenario-based assessment were the strongest predictor of aviation weather performance followed by aviation weather experience. These results support the need for scenario-based weather questions on the FAA written exam for private pilots. The results of this study could help aviation officials and educators better assess and train general aviation pilots on weather-related topics.

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