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Single Order Multiple Regression Model on Existing Vessel Design Index (EVDI)

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dc.contributor.author Yahaya, Aminatul Hawa
dc.contributor.author Muksan, Muhamad Hazim
dc.contributor.author UniKL MIMET
dc.date.accessioned 2022-01-28T06:53:26Z
dc.date.available 2022-01-28T06:53:26Z
dc.date.issued 2022-01-28
dc.identifier.isbn 978-981-15-0002-2
dc.identifier.uri http://hdl.handle.net/123456789/25303
dc.description This article indexed by scopus en_US
dc.description.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. en_US
dc.language.iso en en_US
dc.subject Multiple regressions (MR) en_US
dc.subject Eight selection criteria (8SC) en_US
dc.subject Existing vessel design index (EVDITM) en_US
dc.title Single Order Multiple Regression Model on Existing Vessel Design Index (EVDI) en_US
dc.type Book chapter en_US
dc.conference.year 2020 en_US


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