Journals / Istanbul University Journal of Electrical and Electronics Engineering / 2004 / Cilt: 4 - Sayı: 2

Bivariate correlation analysis for electronics engineering program in higher education

Pages
1123–1129
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Additionally we analyzed all data using regression analysis.

📌 3 Key Takeaways

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Objective & Hypothesis:In this work, we established a statically connection between age, college entrance score and student performance, and between basic science courses of first year like physics, calculus etc. and student performance.
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Key Findings & Data:We investigated the student performance for all and classifying data with correlation analysis.
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Conclusion & Impact:Additionally we analyzed all data using regression analysis.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this work, we established a statically connection between age, college entrance score and student performance, and between basic science courses of first year like physics, calculus etc. and student performance. We calculated this relationship using bivariate correlation analysis. For all data, score transformation was computed with linear transformation method. Data was extracted from undergrade classes in Electronics Engineering program. We investigated the student performance for all and classifying data with correlation analysis. Additionally we analyzed all data using regression analysis.

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Cite This Article

KOKTURK, G. (2022). Bivariate correlation analysis for electronics engineering program in higher education. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 4 - Sayı: 2, 1123–1129. https://ajindex.com/articles/543890

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References (1)

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