Bayesian Hypothesis Testing in Linear Regression Models

2019 ◽  
Author(s):  
Lilia Feng
Keyword(s):  
Linear Regression ◽  
Hypothesis Testing ◽  
Regression Models ◽  
Linear Regression Models ◽  
Bayesian Hypothesis Testing

scholarly journals Contribution of Workload and Compensation to Teacher's Burnout

2021 ◽  
Vol 13 (1) ◽  
pp. 1-9
Author(s):  
Masduki Ahmad ◽  
Heni Rochimah
Keyword(s):  
Linear Regression ◽  
Hypothesis Testing ◽  
Multiple Linear Regression ◽  
Regression Models ◽  
Significant Contribution ◽  
Teacher Burnout ◽  
Linear Regression Models ◽  
Teacher Work ◽  
Multiple Linear Regression Models ◽  
Work Burnout

This research was conducted to show the contribution of workload and compensation to teacher burnout in Cilacap Regency. The methodology in this study is the quantitative approach with multiple linear regression models. The sample was conducted on 142 teachers in Cilacap Regency. The research instrument is a closed questionnaire on google form based on the Likert scale. Hypothesis testing is obtained from the t-test and the F test. The results show several conclusions: 1) Workload contributes positively and significantly to teacher’s burnout in Cilacap Regency, which means increasing workload will increase teacher’s burnout. 2) Compensation has a negative and significant contribution to teacher work burnout in Cilacap Regency, which means an increase in compensation will decrease teacher work burnout. 3) Workload and compensation contribute to teacher work burnout in Cilacap Regency with a determination coefficient value of 0.439 or 43.9%, which means that workload and compensation contribute together to burnout by 43.9%.

FAKTOR DETERMINAN PENYALURAN KREDIT BANK PERSERO

2018 ◽  
Vol 23 (1) ◽  
pp. 60-71
Author(s):  
Wigiyanti Masodah
Keyword(s):  
Interest Rate ◽  
Linear Regression ◽  
Interest Rates ◽  
Regression Models ◽  
Linear Regression Models ◽  
Negative Impacts ◽  
Main Activity ◽  
The Impact ◽  
The Given ◽  
Multiple Linear Regression Models

Offering credit is the main activity of a Bank. There are some considerations when a bank offers credit, that includes Interest Rates, Inflation, and NPL. This study aims to find out the impact of Variable Interest Rates, Inflation variables and NPL variables on credit disbursed. The object in this study is state-owned banks. The method of analysis in this study uses multiple linear regression models. The results of the study have shown that Interest Rates and NPL gave some negative impacts on the given credit. Meanwhile, Inflation variable does not have a significant effect on credit given. Keywords: Interest Rate, Inflation, NPL, offered Credit.

Linear Regression Models for Interval-Valued Data using Log-transformation

2020 ◽  
Author(s):  
Nykolas Mayko Maia Barbosa ◽  
João Paulo Pordeus Gomes ◽  
César Lincoln Cavalcante Mattos ◽  
Diêgo Farias Oliveira
Keyword(s):  
Linear Regression ◽  
Regression Models ◽  
Linear Regression Models ◽  
Log Transformation ◽  
Interval Valued

THE PREDICTIVE CONTENT OF DISAGGREGATED NORMAL INCOME: An Empirical Study in the JSX

2003 ◽  
Vol 5 (3) ◽  
pp. 363 ◽  
Author(s):  
Slamet Sugiri
Keyword(s):  
Linear Regression ◽  
Regression Models ◽  
Stock Exchange ◽  
Manufacturing Firms ◽  
Single Step ◽  
Model Parameters ◽  
Linear Regression Models ◽  
Operating Income ◽  
Predictive Content ◽  
Multiple Step

The main objective of this study is to examine a hypothesis that the predictive content of normal income disaggregated into operating income and nonoperating income outperforms that of aggregated normal income in predicting future cash flow. To test the hypothesis, linear regression models are developed. The model parameters are estimated based on fifty-five manufacturing firms listed in the Jakarta Stock Exchange (JSX) up to the end of 1997.This study finds that empirical evidence supports the hypothesis. This evidence supports arguments that, in reporting income from continuing operations, multiple-step approach is preferred to single-step one.

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