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Linear regression analysis
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Part 2 of ebook "Introduction to statistics and data analysis: With exercises, solutions and applications in R" provides readers with contents including: Chapter 9 - Inference; Chapter 10 - Hypothesis testing; Chapter 11 - Linear regression; Appendix A - Introduction to R; Appendix B - Solutions to exercises; Appendix C - Technical appendix; Appendix D - Visual summaries;...
272p
daonhiennhien
03-07-2024
2
1
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Part 1 of ebook "Regression modeling strategies: With applications to linear models, logistic and ordinal regression, and survival analysis (Second edition)" provides readers with contents including: Chapter 1 - Introduction; Chapter 2 - General aspects of fitting regression models; Chapter 3 - Missing data; Chapter 4 - Multi-variable modeling strategies; Chapter 5 - Describing, resampling, validating, and simplifying the model; Chapter 6 - R software; Chapter 7 - Modeling longitudinal responses using generalized least squares; Chapter 8 - Case study in data reduction;...
297p
daonhiennhien
03-07-2024
1
1
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Part 2 of ebook "Regression modeling strategies: With applications to linear models, logistic and ordinal regression, and survival analysis (Second edition)" provides readers with contents including: Chapter 15 - Regression models for continuous Y and case study in ordinal regression; Chapter 16 - Transform-both-sides regression; Chapter 17 - Introduction to survival analysis; Chapter 18 - Parametric survival models; Chapter 19 - Case study in parametric survival modeling and model approximation; Chapter 20 - Cox proportional hazards regression model; Chapter 21 - Case study in cox regressi...
301p
daonhiennhien
03-07-2024
2
1
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Part 1 of ebook "Statistical analysis and data display: An intermediate course with examples in R (Second edition)" provides readers with contents including: Chapter 1 - Introduction and motivation; Chapter 2 - Data and statistics; Chapter 3 - Statistics concepts; Chapter 4 - Graphs; Chapter 5 - Introductory inference; Chapter 6 - One-way analysis of variance; Chapter 7 - Multiple comparisons; Chapter 8 - Linear regression by least squares; Chapter 9 - Multiple regression- more than one predictor;...
451p
daonhiennhien
03-07-2024
1
1
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This article aims to analyze factors influencing the entrepreneurial intentions of colleges students in Can Tho City. The analysis is based on survey data collected from 350 final-year students in various colleges within the city.
9p
viwalton
02-07-2024
1
1
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In this study, the simultaneous determination of Co, Cd, Ni, Cu, and Pb was carried out as a color complex with 4-(2-pyridylazo) resorcinol in an aqueous solution under the assesting of machine learning. A partial least-squares multivariate linear regression and artificial neuron network for the analysis of mixtures of metals were developed. MATLAB is a powerful software machine learning program that was used to support matrix calculations and displays.
8p
visergeyne
18-06-2024
0
0
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Lecture Artificial intelligence: Linear regression. This lecture provides students with content including: what is regression analysis; simple linear regression; least-square linear regression problem; multiple linear regression; loss function;... Please refer to the detailed content of the lecture!
22p
codabach1016
03-05-2024
0
0
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This research includes associative research that connects two or more variables, namely the independent variable (Product, Price, Distribution, Promotion) and the dependent variable (Purchasing Decision).The population in this study were consumers in the Palembang region. The sampling technique is the accidental sampling technique. The number of samples taken 100 respondents. The data needed is primary data while the method of data collection uses the questionnaire method. The analysis technique used is multiple linear regression, f test and t test.
7p
longtimenosee10
26-04-2024
3
1
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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.
11p
viarnault
25-04-2024
2
1
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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.
8p
longtimenosee10
26-04-2024
7
2
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The real estate is a fast-growth and dynamic industry. Firms that operate in this field need capital. The purpose of this research is to reinforce the capital structure of firms listed on the stock exchange in Indonesia. This study uses a multiple linear regression analysis technique. The analysis revealed that profitability, growth and leverage are negatively related to capital structure. The conclusion is that firms have to reinforce their capital structure, to control profitability and operation.
4p
longtimenosee10
26-04-2024
3
1
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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).
9p
longtimenosee09
08-04-2024
4
1
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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.
8p
longtimenosee07
29-03-2024
4
2
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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.
9p
longtimenosee06
27-03-2024
4
2
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This study aims to analyze the impact of supply chain of government procurement, investment, and the human development index on the level of welfare of the Indonesian people using multiple linear regression analysis. The results show that the government procurement and investment had a positive and significant effect on people's welfare while the human development index is not statistically significant.
9p
longtimenosee06
27-03-2024
5
2
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Part 2 book "Numerical methods for chemical engineers with MATLAB applications" includes content: Numerical solution of ordinary differential equations; numerical solution of partial differential equations; linear and nonlinear regression analysis.
299p
muasambanhan09
12-03-2024
3
0
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The study "The effect of thin capitalization, supply chain and earnings management on economy development: Indonesia evidence" aims to examine the effect of thin capitalization, supply chain and earnings management on economy development. The samples used in this study are manufacturing companies listed on the Indonesia Stock Exchange (IDX) during the period 2013-2015. Using purposive sampling, selected samples are 90 companies, so the total sample in this study is 270 observations. The examination method employed is the multiple linear regression analysis of panel data.
9p
longtimenosee04
06-03-2024
1
1
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This study aims to analyze the Effect of Gross Regional Domestic Product and Supply Chain Fiscal Decentralization on Supply Chain Supply Chain Fiscal Capacity Management in Papua Province. This study used secondary data analyzed by linear regression analysis with pooled data types within 10 years using Two Stage Least Square (2SLS).
4p
longtimenosee04
06-03-2024
4
1
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Part 2 book "Probability and statistics for engineering and the sciences" includes content: Inferences based on two samples; the analysis of variance; multifactor analysis of variance; simple linear regression and correlation; nonlinear and multiple regression; goodness of fit tests and categorical data analysis; distribution free procedures; quality control methods.
416p
muasambanhan06
01-02-2024
5
1
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Part 2 book "Applied statistics and probability for engineers" includes content: Statistical inference for two samples; simple linear regression and correlation; multiple linear regression; design and analysis of single factor experiments - the analysis of variance; design of experiments with several factors; statistical quality control.
424p
muasambanhan06
01-02-2024
6
0
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