Abstract
Linear Regression model is one of the most widely used statistical techniques having large scope of application in business and industry. In this chapter we discuss the technical issues related to the use of this popular tool for prediction.
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References
Montgomery, D. C. (2008) Introduction to statistical quality control (6th ed.). Wiley.
Montgomery, D. C., Peck, E. A. & Vining, G. G. (2012). Introduction to linear regression analysis (5th ed.). Wiley.
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Laha, A.K. (2019). Linear Regression for Predictive Analytics. In: Laha, A. (eds) Advances in Analytics and Applications. Springer Proceedings in Business and Economics. Springer, Singapore. https://doi.org/10.1007/978-981-13-1208-3_2
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DOI: https://doi.org/10.1007/978-981-13-1208-3_2
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Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-1207-6
Online ISBN: 978-981-13-1208-3
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