Regression Analysis: Statistical Modeling of a Response Variable

Altland, Henry W.; Freund, Rudolf J.; Wilson, William Jerome

doi:10.2307/1271353

Cited by 38 publications

(35 citation statements)

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“…In that situation, the standardized regression coefficient as an explanation of relative importance is unstable and misleading. To eliminate the influence of multi-collinearity, the variance inflation factor (VIF) (Altland et al, 2006) Atmos. Chem.…”

Section: Trend Analysis and Stepwise Mlr Modelmentioning

confidence: 99%

Large contribution of meteorological factors to inter-decadal changes in regional aerosol optical depth

Che¹,

Gui²,

Xia³

et al. 2019

Preprint

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Abstract. Aerosol optical depth (AOD) has become a crucial metric for assessing global climate change. Although global and regional AOD trends have been studied extensively, it remains unclear what factors are driving the inter-decadal variations in regional AOD and how to quantify the relative contribution of each dominant factor. This study used a long-term (1980&#8211;2016) aerosol dataset from the Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2) reanalysis, along with two satellite-based AOD datasets (MODIS/Terra and MISR) from 2001 to 2016, to investigate the long-term trends in global and regional aerosol loading. Statistical models based on emission factors and meteorological parameters were developed to identify the main factors driving the inter-decadal changes of regional AOD and to quantify their contribution. Evaluation of the MERRA-2 AOD with the combined in-situ measurements of AERONET and the China Aerosol Remote Sensing Network indicated significant spatial agreement on the global scale (r&#8201;=&#8201;0.84, RMSE&#8201;=&#8201;0.14, and MAE&#8201;=&#8201;0.07). In general, MERRA-2 was able to quantitatively reproduce the annual and seasonal AOD trends on both regional and global scales, as observed by MODIS/Terra, albeit some differences were found when compared to MISR. Over the 37-year period in this study, significant decreasing trends were observed over Europe and the eastern United States. In contrast, eastern China and South Asia showed AOD increases, but the increasing trend of the former reversed sharply in the most recent decade. The statistical analyses suggested that the meteorological parameters explained a larger proportion of the AOD variability (20.4&#8201;%&#8211;72.8&#8201;%) over almost all regions of interest (ROIs) during 1980&#8211;2014 when compared with emission factors (0&#8201;%&#8211;56&#8201;%). Further analysis also showed that SO2 was the dominant emission factor, explaining 12.7&#8201;%&#8211;32.6&#8201;% of the variation in AOD over anthropogenic aerosol&#8211;dominant regions, while BC or OC was the leading factor over the biomass burning&#8211;dominant (BBD) regions, contributing 24.0&#8201;%&#8211;27.7&#8201;% of the variation. Additionally, wind speed was found to be the leading meteorological parameter, explaining 11.8&#8201;%&#8211;30.3&#8201;% of the variance over the mineral dust&#8211;dominant regions, while ambient humidity (including soil moisture and relative humidity) was the top meteorological parameter over the BBD regions, accounting for 11.7&#8201;%&#8211;35.5&#8201;% of the variation. The results of this study indicate that the variation in meteorological parameters is a key factor in determining the inter-decadal change in regional AOD.

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Section: Trend Analysis and Stepwise Mlr Modelmentioning

confidence: 99%

Large contribution of meteorological factors to inter-decadal changes in regional aerosol optical depth

Che¹,

Gui²,

Xia³

et al. 2019

Preprint

View full text Add to dashboard Cite

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“…Mann Whitney U test, Pearson correlation, factor analysis and Bayesian correlation were used to determine the attitude of engineering students and its relationship on academic performance, to answer research question 1 (Fellows and Liu, 2003;Freund et al, 2006;Gorsuch, 2021;Kervin, 1992;McKnight and Najab, 2010;Waldmann, 2019). Regression analysis was used to analyze qualitative data in response to research questions 2 and 3 (Freund et al, 2006). Framework method (Gale et al, 2013) and thematic analysis (Braun and Clarke, 2006).…”

Section: Discussionmentioning

confidence: 99%

“…The inclusion of all six groups of engineering students was necessitated by the need to have a balanced faculty perspective on attitude and its relationship with academic performance. The six groups of engineering students within the faculty of engineering and technology denote different data sources, in the context of a research design to address measurement error or common method variance (Fellows and Liu, 2003;Freund et al, 2006;Gray and Kinnear, 2012).…”

Section: Methodsmentioning

confidence: 99%

Attitudes and Academic Performance of Engineering Students in both Prerequisite Courses to Final Year Project and Final Year Project

Dobela¹,

Seboni²

2023

IJHE

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The aim of this study was to examine the attitudes of engineering students and their academic performance towards both prerequisite courses for and the final year project (FYP), given the need to increase our understanding of attitudes and performance in the context of engineering students, currently underexplored. Questionnaire surveys of 714 eligible students enrolled in the FYP across six engineering programs were conducted. The results show that students enrolled in Industrial, Mechanical and Civil engineering programs, have a negative attitude towards the FYP and its prerequisites, while students enrolled in Electrical, Electronic and Industrial Design and Technology programs have a positive attitude. A statistically strong positive correlation between project prerequisites and engineering FYP was found, confirmed by factor analysis. Majority of students struggle with project progress as compared to other stages of the FYP, due to inadequacy in fundamentals such as design. This study contributes to an understanding of existing knowledge by providing empirical evidence of not only challenges faced by engineering students (as opposed to other disciplines that have been widely covered) but also remedies to improve students’ academic performance. The findings also have implications on engineering education, in relation to informing policy decisions on engineering program structure.

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“…On analyzing the parameters statistically, the importance of parameters is depicted which in turn is used to score the individuals for the talent identification. The regression methods [ 37 ] have also been used to achieve the goal. [ 38 – 42 ] have employed such techniques for a variety of sports.…”

Section: Talent Identification and Selectionmentioning

confidence: 99%

An IoT/FOG based framework for sports talent identification in COVID-19 like situations

Khan

Ahamad

Naseem

2022

Int. j. inf. tecnol.

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COVID-19 crippled all the domains of our society. The inevitable lockdowns and social distancing procedures have hit the process of traditional sports talent identification (TiD) severely. This will interrupt the career-excellency of athletes and will also affect the future talent in the years to come. We explore the effect of COVID-19 on sports talent identification and propose an IoT/Fog-based framework for theTiD process during COVID-19 and COVID–like situations. Our proposed novel six-layer model facilitates the sports talent identification remotely using the various latest Information and Communication Technologies like IoT, fog and cloud computing. All the stakeholders like experts, coaches, players, institutes etc. are taken into consideration. The framework is mobile, widely accessible, scalable, cost-effective, secure, platform/location independent and fast. A brief case study of cricket talent identification using the proposed framework is also provided.

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Regression Analysis: Statistical Modeling of a Response Variable

Cited by 38 publications

References 0 publications

Large contribution of meteorological factors to inter-decadal changes in regional aerosol optical depth

Large contribution of meteorological factors to inter-decadal changes in regional aerosol optical depth

Attitudes and Academic Performance of Engineering Students in both Prerequisite Courses to Final Year Project and Final Year Project

An IoT/FOG based framework for sports talent identification in COVID-19 like situations

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