Abstract
Education system is the most important aspect of any society as it directly affects employability. In today’s modern era the number of graduates is on rise but when we look at the rate of employability of these graduates it is very poor. In this paper, we try to understand IT graduate attributes by working on the database collected from aspiring minds (leading Assessment Company) and develop multilinear regression model to predict the correlation between attributes using R. The results can be utilized to better understand the factors that directly affect employability. Thus, making the graduates more industry ready and making them employable. Prediction can be used effectively to predict the dependencies of graduate attributes on each other. Multilinear regression model is used because there are many independent attributes a graduate can have and only one dependent variable that can be considered as the outcome of graduate. The model is implemented using R in ANACONDA tool as the accuracy and efficiency measures of the model are very high. It is very necessary to analyze these attributes because an employed graduate in turn benefits the economic growth of nation.
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Chopra, A., Saini, M.L. (2020). Multilinear Regression Model to Predict Correlation Between IT Graduate Attributes for Employability Using R. In: Sharma, H., Govindan, K., Poonia, R., Kumar, S., El-Medany, W. (eds) Advances in Computing and Intelligent Systems. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-0222-4_15
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DOI: https://doi.org/10.1007/978-981-15-0222-4_15
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