Conclusion : The Multiple Linear Regression is not a fit tool for predicting the COD in the West Tarum Canal surface water. In regression analysis, curve fitting is the process of specifying the model that provides the best fit to the specific curves in your dataset.Curved relationships between variables are not as straightforward to fit and interpret as linear relationships. The result showed that all models in all intake points are not showing good prediction results, and the predictors showed no effect on the COD level. The water quality dataset is inputted to the R Studio and made the MLR model.
Method and results : The correlation analysis is done in Microsoft Excel using the Pearson Product Moment Correlation Analysis. Objectives :This research aims to determine the parameter that can predict COD concentration using correlation analysis and develop a Multiple Linear Regression Model for predictive analysis on COD level in the West Tarum Canal surface water. The most common models are simple linear and multiple linear. A predictive analysis, such as Multiple Linear Regression, could be an option to make the COD measurement more effective. Regression analysis includes several variations, such as linear, multiple linear, and nonlinear. COD level indicates the organic matter pollution in water. Conclusion: The Multiple Linear Regression is not a fit tool for predicting the COD in the West Tarum Canal surface water. For example, y a × exp ( x) is said to be linear in a because y is.
to equations that are nonlinear in their parameters. Method and results: The correlation analysis is done in Microsoft Excel using the Pearson Product Moment Correlation Analysis. regression analysis or nonlinear least-squares fitting (NL SF) refers. Objectives:This research aims to determine the parameter that can predict COD concentration using correlation analysis and develop a Multiple Linear Regression Model for predictive analysis on COD level in the West Tarum Canal surface water. Here, yi a + bx i is the expected (estimated) value of the response variable for given. The method of least squares can be applied to determine the estimates of ‘a’ and ‘b’ in the simple linear regression equation using the given data (x 1,y 1), (x 2,y 2). A predictive analysis, such as Multiple Linear Regression, could be an option to make the COD measurement more effective. Fitting of Simple Linear Regression Equation. Multiple Regression is a good fit using the Regression data analysis tool. COD level indicates the organic matter pollution in water. Example 1: Calculate the linear regression coefficients and their standard.
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