ABSTRACT
The Central Point Theory And Its Effect  On Predictive Theory

William Ayine Adongo
University for development Studies
Faculty of mathematical Sciences
Department of Statistics  (Option: Actuarial Science)
ID:FAS/0912/06
Email: Ayinewilliam@yahoo.com.

This work is an investigation of the central point theory which I am developing and its effect in predictive theory. Through the knowledge of central point theory, new predictive theory is devised to substitute the existing general regression theory, since experts are more interested in finding averages in all practical fields, in order to make their works accurate, concise and predictable. This predictive theory is named as Central Prediction Theory.
The work focus on using the central prediction theory to predict several mean response variables from only one mean explanatory variable that provided no room for random error. This model includes the mean component only and can be used to hypothesize an exact relationship between phenomena that cannot be modeled or explained when using the existing "general regression model".
The review of linear equation, central point theory and regression theory in two more variables are discussed fundamentally. The work precisely explained the validity of the central prediction theory and its important as compared to the existing general regression theory. The conclusion is that no text-statistics is needed to evaluate the validity of the central prediction model (except complicated cases) since it does not account for
random error.
The study found that the central prediction theory can be used to construct models in econometrics,  logistic prediction, survival prediction, time series prediction that is almost certainly have no less than one response variables and no variation due strictly to random phenomena, that cannot be modeled or explained when using the existing general regression model.
Recommendations are made to better the development of the central prediction theory for academic research, learning reference and teaching.