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              <text>Understanding the use of Regression Analysis in Business Analytics to understand the perceptions of Students about Quality in Higher Education</text>
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              <text>academic factors; higher education; quality; quality parameters; student satisfaction</text>
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              <text>For a very long time, researchers in a variety of fields have utilized regression analysis as a crucial tool for data analysis and result interpretation. Regression analysis has also been widely employed in the business world to determine what factors influence consumers' decisions to purchase any of the company's products. Comprehending the interplay of these variables will enable the business to conduct a more thorough consumer analysis and boost sales. This essay is an attempt to comprehend students' perceptions on the qualities they consider important while applying to universities. Regression analysis is another approach used in this article to determine how the quality criteria affect the respondents' overall happiness.   2024 IEEE.</text>
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              <text>Roy B.; Dhote R.M.; Sanghvi M.; Bikash Acharjee P.; Sharma R.K.; Bhute N.</text>
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              <text>TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>&lt;a href="https://doi.org/10.1109/TQCEBT59414.2024.10545271" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/TQCEBT59414.2024.10545271&lt;/a&gt;
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              <text>ISBN: 979-835038427-7</text>
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              <text>Roy B., Christ University, India; Dhote R.M., Christ University, India; Sanghvi M., Christ University, India; Bikash Acharjee P., Christ University, India; Sharma R.K., Christ University, India; Bhute N., Christ University, India</text>
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