Abstract
This paper utilized a multivariate technique to examine the relationship between the dependent variable with independent variables. The coefficients (weights) are the marginal impacts on each variable, and the size of the weight can be directly interpreted using multiple regressions (MR). Parameter tests (Global test, Multicollinearity test, Coefficient test and the Wald test) were carried out on all the sixty-three possible models. The best model was obtained using the Eight Selection Criteria (8SC). The goodness-of-fit tests were carried out to validate the best model obtained. MR was used to determine the best model that related. The model was used to estimate the value of EVDITM based on selected significant variables.
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Yahaya, A.H., Muksan, M.H. (2020). Single Order Multiple Regression Model on Existing Vessel Design Index (EVDI). In: Saw, C., Woo, T., a/l Karam Singh, S., Asmara Bin Salim, D. (eds) Advancement in Emerging Technologies and Engineering Applications. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-0002-2_6
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DOI: https://doi.org/10.1007/978-981-15-0002-2_6
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