Abstract
There are six types of linear regression analyses that available in statistics which are simple linear regression, multiple linear regressions, logistic regression, ordinal regression, multinominal regression and descriminant analysis. Multiple linear regressions are the one of linear regression analyses that used to analyze the relationship between single response variable (dependent variable) with two or more controlled variables (independent variables). In this paper, stepwise multiple regression will use because this method is combination of forward selection and backward elimination method. The main objective in this paper is to select the suitable controlled variables in forecast fish landing. Data that has been used in this research were taken from Fisheries Annually Statistics of Department of Fisheries Malaysia. Then, the data will be analyzed by using Minitab 15 and SPSS 17.0.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.