Influencing Factors Analysis of House Prices Based on Multiple Linear Regression

2013 ◽  
Vol 415 ◽  
pp. 722-725 ◽  
Author(s):  
Cheng Wang
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Influencing Factors ◽  
House Prices ◽  
Supply And Demand ◽  
Housing Prices ◽  
Influence Factors ◽  
Analysis Model ◽  
Factors Analysis ◽  
The Stability

Housing problems are related to the vital interests of people and the stability of community. The stability of housing prices is directly related to the level of people's life and the development of the national economy. This paper analyzed the influence factors for market supply and demand of commodity housing, and established price influence factors analysis model based on multiple linear regression. By the empirical analysis, the main influencing factors of housing prices are got, and some policy recommendations of price control are given based on these main influencing factors.

scholarly journals Influence Factors’ Analysis of the Face-End Roof Leaks Exposed to Repeated Mining Based on Multiple Linear Regression

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Qiang Li ◽  
Dezhong Kong ◽  
Guiyi Wu ◽  
Zhijie Wen ◽  
Yuqi Shang
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Influencing Factors ◽  
Simulation Software ◽  
Regression Equation ◽  
Multivariate Linear Regression Analysis ◽  
Coal Seams ◽  
Working Face ◽  
The Face ◽  
The Stability

In view of the fact that the face-end roof fall under repeated mining of close-distance coal seams seriously affects the normal production of the working face, this paper takes working face 17101 as the background, different influencing factors of face-end roof caving exposed to repeated mining are analyzed through field observation of mine pressure data, different calculation schemes are obtained by using the orthogonal experiment, the subsidence of the face-end roof is taken as the judgment index, UDEC simulation software is used to calculate the subsidence of the face-end roof when different influencing factors change, and the application of SPSS statistical software is used for various parameters of multivariate linear regression analysis. The research results show that the influence degree of different factors from large to small is, respectively, mining height > tip-to-face distance > advancing speed > distance of coal seams > surrounding rock strength > support setting load. It is necessary to strengthen the coordination of all influencing factors and comprehensively control the stability of the face-end roof exposed to repeated mining. Through the analysis of the regression model, it is found that there is no collinearity among the influencing factors, which has a significant influence on the regression equation and regression coefficient, and the multiple linear regression equation has a good fitting effect. The model can predict the stability of the face-end roof exposed to repeated mining, which provides a basis for controlling the face-end roof exposed to repeated mining.

scholarly journals ANALISIS PENGARUH LIKUIDITAS, STRUKTUR AKTIVA, FREE CASH FLOW, DAN UKURAN PERUSAHAAN TERHADAP KEBIJAKAN UTANG (DER) PADA PT JASA MARGA Tbk PERIODE 2009-2018

KEUNIS ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 92
Author(s):  
Anita Kristina ◽  
Prihatiningsih Prihatiningsih ◽  
Ida Savitri Kusmargiani
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Cash Flow ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Model ◽  
Multiple Linear Regression Analysis ◽  
Free Cash Flow ◽  
Company Size ◽  
Analysis Model ◽  
Debt Policy

<em>This research is based on the problems of the company PT Jasa Marga Tbk which has a problem with the performance of the company which is indicated by the DER of companie increased during the period 2009-2018. The purpose of this research is to analyze the influance of direction and significance of Liquidity, Asset Structure, Free Cash Flow and Company Size on Debt Policy (DER) in PT Jasa Marga Tbk for the period 2009-2018. The population and sample in this study were PT Jasa Marga Tbk. The analysis model used in this study is a multiple linear regression model. The results of the multiple linear regression analysis showed that (1) the influance of Liquidity (CR) on Debt Policy (DER) was positive and significant (2) the influance Asset Structure on Debt Policy (DER) was negative and not significant (3) the influance of Free Cash Flow on Debt Policy (DER) is positive and significant (4) the influance of Company Size on Debt Policy (DER) is positive and significant.</em>

scholarly journals Analysis of influencing factors for rear-end collision on the freeway

2019 ◽  
Vol 11 (7) ◽  
pp. 168781401986507
Author(s):  
Jianfeng Xi ◽  
Hongyu Guo ◽  
Jian Tian ◽  
Lisa Liu ◽  
Weifu Sun
Keyword(s):  
Influencing Factors ◽  
Significant Influence ◽  
Traffic Accidents ◽  
Influence Factors ◽  
Warning System ◽  
Analysis Model ◽  
Freeway Traffic ◽  
Independent Variables ◽  
Driving Speed ◽  
Fatigue Driving

Rear-end collision accounts for the main type of traffic accidents occurring on the freeway. In order to extract the significant influence factors of rear-end collision on the freeway, this study utilized the data of freeway traffic accidents between 2010 and 2015 in China. First, based on quasi-induced exposure theory, the information of driver, vehicle, and road environment was analyzed. Gender, age, driving age, vehicle safety, load, weather, fatigue, driving speed, road alignment, accident time, and visibility were selected as the important factors that might affect rear-end collision. Second, based on logistic regression model, the influencing factors analysis model of freeway rear-end collision was established. In the regression analysis, the possible important factors selected were taken as the independent variables, and the accident responsibility was taken as the dependent variable. Then, the factors that had significant influence on rear-end collision were selected from candidate independent variables by stepwise regression method. Finally, the specific influence of driving age, load, weather, accident time, visibility, fatigue, and driving speed on rear-end collision occurring on the freeway was discussed. The analysis results were explained according to the odds ratio. The research results of this article can provide guidance for the prevention of rear-end collision on the freeway and theoretical support for the development of freeway early warning system.

scholarly journals Post-traumatic growth and influencing factors among frontline nurses fighting against COVID-19

2020 ◽  
pp. oemed-2020-106540
Author(s):  
Pan pan Cui ◽  
Pan pan Wang ◽  
Kun Wang ◽  
Zhiguang Ping ◽  
Peng Wang ◽  
...  
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Influencing Factors ◽  
Psychological Intervention ◽  
Linear Regression Analysis ◽  
Bivariate Analysis ◽  
Related Factors ◽  
Self Confidence ◽  
Post Traumatic Growth ◽  
Post Traumatic

ObjectiveTo explore the level and influencing factors of frontline nurses’ post-traumatic growth (PTG) during COVID-19 epidemic.MethodsA cross-sectional survey was conducted in February 2020 in three hospitals in China. The Post-traumatic Growth Inventory (PTGI) was used to investigate the PTG of frontline nurses. Data on related factors, including demographic characteristics and subjective variables, were collected. The Event-Related Rumination Inventory was used to assess rumination. Pearson’s or Spearman’s correlation was calculated for bivariate analysis. Independent sample t-tests or one-way analysis of variance and multiple linear regression analysis were used to examine the related factors.ResultsA total of 179 frontline nurses were recruited, and 167 were included in the analyses. The mean PTG score was 70.53±17.26. The bivariate analyses showed that deliberate rumination was modestly positively correlated with PTG (r=0.557, p<0.01), while intrusive rumination had a modest negative correlation with PTG (r=−0.413, p<0.01). Multiple linear regression demonstrated that working years, self-confidence in frontline work, awareness of risk, psychological intervention or training during the epidemic and deliberate rumination were the main influencing factors of PTG among frontline nurses and accounted for 42.5% of the variance (F=31.626, p<0.001).ConclusionsThe PTG of frontline nurses was at a medium to high level and was influenced by working years, self-confidence in frontline work, awareness of risk, psychological intervention or training and deliberate rumination. It is necessary to strengthen psychological guidance and training for frontline nurses and promote their deliberate rumination on epidemic events to improve their PTG.

scholarly journals HOUSING POLICIES IN SINGAPORE: EVALUATION OF RECENT PROPOSALS AND RECOMMENDATIONS FOR REFORM

2014 ◽  
Vol 59 (03) ◽  
pp. 1450025 ◽  
Author(s):  
SOCK-YONG PHANG ◽  
DAVID LEE ◽  
ALAN CHEONG ◽  
KOK-FAI PHOON ◽  
KAROL WEE
Keyword(s):  
Housing Market ◽  
House Prices ◽  
Supply And Demand ◽  
Housing Prices ◽  
Housing Affordability ◽  
Property Taxes ◽  
Housing Supply ◽  
Housing Policies ◽  
Global Liquidity ◽  
The Government

The Singapore housing market is unusual in its high homeownership rate, the dominance of HDB housing, and the extensive intervention of the government in regulating housing supply and demand in both the HDB and private housing sectors. Recent rapid population increases in a low interest rate and high global liquidity environment has resulted in accelerated house prices increases in Singapore. Earlier this year, the government launched "Our Singapore Conversation" of which discussion on housing policies constitutes one major component. This "conversation" comes in the wake of several consecutive rounds of measures to stabilize housing prices using various instruments. This paper evaluates the main policy changes proposed and makes recommendations for housing market reforms: (i) the government need to clarify goals of housing policies and make available more detailed data on the foreign component of our population for better analysis of housing markets; (ii) the housing supply regime should target an overall effective vacancy rate that encompasses both the Housing and Development Board (HDB) and private sector; (iii) policy makers need to monitor carefully excess demand indicators for housing in addition to housing affordability indicators over the entire spectrum of incomes and household types; (iv) housing REITs should be established to provide an alternative investment option as well as to develop an efficient and affordable rental sector; and (v) in addition to macroprudential measures, owner-occupancy requirements and fiscal measures such as stamp duties and property taxes could be further utilized to reduce the foreign demand for Singapore housing and real estate.

scholarly journals PENGARUH PROMOSI DAN LOKASI TERHADAP KEPUTUSAN PEMBELIAN SEPEDA MOTOR MEREK HONDA

2017 ◽  
Vol 5 (2) ◽  
pp. 77-82
Author(s):  
Citra Suci Mantauv
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Sampling Technique ◽  
Purchasing Decisions ◽  
Analysis Model ◽  
Convenience Sampling

The purpose of this research is to determine the influence of Promotion and Locations of purchasing decisions. The sample used in this research is 100 people. Sampling in this research is based on convenience sampling technique. The analysis model used is multiple linear regression. With the constant value (α) is 8.418 while the value of Promotion coefficient 0.367 and the locataion of 0.432. Based on the results of data analysis with multiple linear regression known that the R-squre value of 0.773. Test f shows the two variables indenpenden have a positive and significant effect on the dependent variable.

scholarly journals Pengaruh Kompensasi Dan Disiplin Kerja Terhadap Kinerja Karyawan Pt Pama Persada Nusantara Di Sangatta-Kutai Timur

2017 ◽  
Vol 6 (1) ◽  
pp. 11
Author(s):  
Kaharuddin Kaharuddin
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Significant Influence ◽  
Work Performance ◽  
Analysis Model ◽  
Free Variables ◽  
Independent Variable ◽  
Variable Impact ◽  
Test Result ◽  
Dominant Influence

The study tries to identify to what extent compensation and discipline for work performance of employees PT Pama Persada. Analysis model used to prove hypothesis is model analysis multiple linear regression that be analyzed with using statistics computer program package, that is SPSS v. 16.0 for Windows. Furthermore it was conducted examination for validity of data by multikolinieritas test, heteroskedasticity test and autocorrelation test. Result of statistics analysis show that coefficient of the free variables regression, that is involvement  factor in compensation (X1) =  0,059, discipline  (X2) = 0,743, and Constanta equal  to 0,697. Equation  of multiple linear regression is: Y =  0,697  + 0,059 X1 + 0,743 X2            Conclusion that receive that level of influence explained by compensation, discipline are as independent variable impact toward performance of employees PT Pama Persada  equal to correlation  coefficient (R), that is 0,766  and level of depended  performance to second of  free variables above is equal to determination  coefficient value (R2) that is 0,587 or 58,7 %.  The result of analysis F – test indicate that all free variables by together have significant influence toward the performance of employees PT Pama Persada. Variable independent has dominant influence to performance of employees PT Pama Persada is discipline.

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