A regression analysis can be done to create a predictive model. Regression models can be used to determine the relationship between predictor variables and outcome variables. The goal of most cases is to ensure that the model can be used for model predictions. Regression analysis is a method of predicting the father’s education (dependent variable) and the mother’s (independent variables). This study uses Paeduc, Maeduc as the variables.
Modell Assumptions
1. The predictor variable of the current model isn’t random. 2. The predictor variable isn’t random for future models. 3. The predictor variable isn’t random for future models.
2. Linearity exists between predictor variables and outcome variables (Yang 2013, 2013).
3. All observations assume that the residual is constant.
4. The assumption is that the residual value is not related to the results of the research.
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