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Multiple linear regression model

Xem 1-20 trên 65 kết quả Multiple linear regression model
  • The purpose of this research is to examine the correlation between the attitude towards reading and the perception of creative reading. The sample group of the study, in which the correlational survey model among the qualitative research designs was conducted, consists of 319 students studying at fourth grade in primary schools.

    pdf11p viarnault 25-04-2024 2 1   Download

  • In a perspective of improvement of the performance of the supply chain of the Moroccan companies, we have relied on the data of 32 Moroccan companies in order to analyze the criticalities of the 16 factors mentioned in this article, to identify the most critical factors and their impacts on firm objectives, and to deliver a model for predicting the risk levels by a multiple linear regression model.

    pdf8p longtimenosee10 26-04-2024 7 2   Download

  • This study aims to examine the role of advertising, perceived value, and social influence in purchasing managements on cosmetic products. The data used in this research was obtained from questionnaires. The research model was tested quantitatively through a field survey of 257 Hasanuddin university students using multiple linear regression analysis with SPSS 23 (Statistical Product and Service Solutions).

    pdf9p longtimenosee09 08-04-2024 4 1   Download

  • The study has used the SEM-PLS to analyses the data. Due to the number of reasons the current study is using Structural Equation Modelling (SEM). SEM assumes that variables assed without any errors and have equal capability of consideration with linear and multiple regression analysis.

    pdf8p longtimenosee07 29-03-2024 4 2   Download

  • This research is quantitative research with multiple linear regression models. The sample used in this research is manufacturing companies listed on the Indonesia Stock Exchange (ISE). The type of data used in this study is secondary data in the form of financial statements and annual reports from 2014 to 2016. The sample selection using a purposive sampling method with the number of samples amounted to 255 samples.

    pdf9p longtimenosee06 27-03-2024 3 2   Download

  • To study methodological approaches to employee remuneration planning taking into account the relationship between the types of supply chain management (SCM) and the staff effectiveness based on the multiple regression model and evaluation of the optimal payment times based on a dynamic model with a distributed lag. The application of the concept of sustainable supply chain management in the operation strategy of industrial enterprise seems to be a very important function. This supply chain also covers all three aspects of sustainable development: business, environmental, and social.

    pdf9p longtimenosee06 27-03-2024 4 2   Download

  • The low level of financial satisfaction of Generation Z will make them stressed about their future. This study aims to improve the financial satisfaction of Generation Z with Multiple Linear Regression and Regression Models with interaction supply chain strategies. Samples were used as many as 246 respondents from 263 questionnaires distributed in Pekanbaru City using convenience and purposive sampling methods, namely the Generation Z age criteria.

    pdf10p longtimenosee06 27-03-2024 8 2   Download

  • This study aims to examine the effect of the International Financial Reporting Standards (IFRS) adoption on supply chain management and earnings persistence. This research is quantitative research with multiple linear regression models. The sample used in this research is manufacturing companies listed on the Indonesia Stock Exchange (IDX). The type of data used in this study is secondary data in the form of financial statements and annual companies listed on the Stock Exchange from 2009 to 2015.

    pdf7p longtimenosee04 06-03-2024 8 1   Download

  • Part 2 book "Biostatistics - A methodology for the health sciences" includes content: Association and prediction - multiple regression analysis and linear models with multiple predictor variables; multiple comparisons; discrimination and classification; principal component analysis and factor analysis; rates and proportions; analysis of the time to an event - survival analysis; sample sizes for observational studies; longitudinal data analysis; randomized clinical trials; personal postscript.

    pdf453p muasambanhan06 03-02-2024 6 1   Download

  • Part 2 book "Statistical methods in biology - Design and analysis of experiments and regression" includes content: Dealing with non orthogonality; models for a single variate: simple linear regression; checking model fit; models for several variates - multiple linear regression; models for variates and factors; incorporating structure - linear mixed models; models for curved relationships; models for non normal responses - generalized linear models; practical design and data analysis for real studies.

    pdf314p muasambanhan03 02-01-2024 5 2   Download

  • Continued part 1, part 2 of ebook "Statistics with Julia: Fundamentals for data science, machine learning and artificial intelligence" provides readers with contents including: statistical inference concepts - DRAFT; confidence intervals - DRAFT; hypothesis testing - DRAFT; linear regression and extensions - DRAFT; machine learning basics - DRAFT; simulation of dynamic models - DRAFT;...

    pdf227p tieulangtran 28-09-2023 8 3   Download

  • Ebook Econometric analysis (Fifth edition): Part 1 includes contents: Chapter 1 introduction, chapter 2 the classical multiple linear regression model, chapter 3 least squares, chapter 4 finite-sample properties of the least squares estimator, chapter 5 large-sample properties of the least squares and instrumental variables estimators, chapter 6 inference and prediction, chapter 7 functional form and structural change, chapter 8 specification analysis and model selection, chapter 9 nonlinear regression models, chapter 10 nonspherical disturbances - the generalized regression model, chapter ...

    pdf402p haojiubujain03 24-07-2023 10 4   Download

  • Part 1 book "Econometric analysis" includes content: The classical multiple linear regression model, least squares, finite sample properties of the least squares estimator, large sample properties of the least squares and instrumental variables estimators, inference and prediction, functional form and structural change.

    pdf402p oursky01 24-07-2023 7 4   Download

  • Continued part 1, part 2 of ebook "Bayesian and frequentist regression methods" has presents the following content: dependent data; linear models; general regression models; nonparametric modeling; preliminaries for nonparametric regression; spline and kernel methods; nonparametric regression with multiple predictors; appendices and differentiation of matrix expressions; matrix results;...

    pdf335p dieptieuung 20-07-2023 4 3   Download

  • This study was conducted to assess the customers’ satisfaction level with solid waste collection service in Salavane city, Salavane province, Laos. The interviewed data from 132 households have been tested and analyzed for the correlations between influencing factors and customers’ satisfaction.

    pdf6p viwarmachine 01-07-2023 7 3   Download

  • This study examines factors influencing decisions to choose the University of Economics, Hue University among 12th grade students in Thua Thien Hue Province. The quota sampling technique is applied to collect 200 students enrolled in the University of Economics, Hue University.

    pdf11p vispiderman 15-06-2023 2 1   Download

  • Continued part 1, part 2 of ebook "Statistics for management and economics" provide readers with content about: inference about comparing two populations; analysis of variance; chi-squared tests; simple linear regression and correlation; multiple regression; model building; nonparametric statistics; time-series analysis and forecasting; statistical process control; decision analysis;...

    pdf545p damtuyetha 16-02-2023 3 1   Download

  • This paper uses the data obtained in the actual blasting of the Deo Ca tunnel (39 datasets) to build the computational and prediction models for the area of the tunnel face after blasting by two methods, the multiple linear regression analysis method and the method of using artificial neural network (ANN).

    pdf10p vibentley 08-09-2022 14 5   Download

  • (BQ) Ebook Probability and statistics for engineers and scientists (Ninth edition): Part 2 presents the following content: Simple linear regression and correlation, multiple linear regression and certain nonlinear regression models, one-factor experiments: general, factorial experiments (two or more factors), 2k factorial experiments and fractions, nonparametric statistics, statistical quality control, bayesian statistics, Appendix A: statistical tables and proofs, Appendix B: answers to odd-numbered non-review exercises.

    pdf403p runordie6 10-08-2022 7 4   Download

  • Quantitative structure–activity relationship (QSAR) analysis of 28 quinoline-arylamidine (CQArA) hybrids against two leukemia cells, K562 and Raji, was performed. Multiple linear regression (MLR) models were obtained by genetic algorithm. The best models involved the following descriptors: radial distribution function (RDF) descriptors, GETAWAY (GEometry, Topology, and Atom-Weights AssemblY) descriptor, bond information content index, and dipole moment. The best MLR models for K562 and Raji cells demonstrated satisfactory stability in internal and external validation.

    pdf16p tudichquannguyet 29-11-2021 7 1   Download

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