A Study on Multiple Linear Regression Analysis
Gülden Kaya Uyanik,Neşe Güler +1 more
TLDR
In this paper, data for multilinear regression analysis is occur from Sakarya University Education Faculty student's lesson (measurement and evaluation, educational psychology, program development, counseling and instructional techniques) scores and their 2012- KPSS score.About:
This article is published in Procedia - Social and Behavioral Sciences.The article was published on 2013-12-10 and is currently open access. It has received 482 citations till now. The article focuses on the topics: Regression analysis & Segmented regression.read more
Citations
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A global comparison and assessment of incentive policy on electric vehicle promotion
TL;DR: Wang et al. as discussed by the authors explored the relationship between those variables and 30 national electric vehicle market shares for the year 2015, and found that chargers' density, fuel price and road priority are significantly positive factors correlated with a country`s EV market share.
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The Role of Social Media Content Format and Platform in Users' Engagement Behavior
Hamidreza Shahbaznezhad,Hamidreza Shahbaznezhad,Hamidreza Shahbaznezhad,Rebecca Dolan,Rebecca Dolan,Rebecca Dolan,Mona Rashidirad,Mona Rashidirad,Mona Rashidirad +8 more
TL;DR: In this paper, the authors investigated the role of social media content on users' engagement behavior and found that the effect of content context on user engagement is moderated by content context.
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Prediction of new active cases of coronavirus disease (COVID-19) pandemic using multiple linear regression model.
TL;DR: An analysis of daily statistics of people affected by the COVID-19 pandemic are taken into account to predict the next days trend in the active cases in Odisha as well as India.
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A comparative study of machine learning methods for bio-oil yield prediction - A genetic algorithm-based features selection.
Zahid Ullah,Muzammil Khan,Salman Raza Naqvi,Wasif Farooq,Haiping Yang,Shurong Wang,Dai-Viet N. Vo +6 more
TL;DR: In this article, a genetic algorithm-based feature selection approach is incorporated and based on these features, four different ML methods were investigated, and the results showed that Random Forest (RF) is preferred for bio-oil yield prediction (R2.98) and highly recommended when dealing with the complex correlation between variables and target.
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Flooding and its relationship with land cover change, population growth, and road density
Mahfuzur Rahman,Mahfuzur Rahman,Chen Ningsheng,Golam Iftekhar Mahmud,Monirul Islam,Hamid Reza Pourghasemi,Hilal Ahmad,Jules Maurice Habumugisha,Rana Muhammad Ali Washakh,Mehtab Alam,Enlong Liu,Zheng Han,Huayong Ni,Tian Shufeng,Ashraf Dewan +14 more
TL;DR: In this paper, the authors used Bayesian regularization back propagation (BRBP) neural network, classification and regression trees (CART), a statistical model (STM) using the evidence belief function (EBF), and their ensemble models (EMs) for three time periods (2000, 2014, and 2017).
References
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Book
Using multivariate statistics
TL;DR: In this Section: 1. Multivariate Statistics: Why? and 2. A Guide to Statistical Techniques: Using the Book Research Questions and Associated Techniques.
Büyüköztürk, Ş. (2007), Sosyal Bilimler için Veri Analizi El Kitabı, Ankara: Pegem A Yayıncılık
TL;DR: In this paper, the authors discuss the importance of faktor analizinin ayni yapiyi ve ya niteli i olcen maddelerin bir araya getirilmesini amaclayan bir teknik oldu u belirtilmi tir.