Multiple regression attempts to model the relationship between two or more explanatory variables and a response variable by fitting an equation to observed data and allows to obtain predicted values for specific variables. Multiple regression can be applied in several fields, for instance, to forecast daily maximum surface ozone concentration, to determine the relative contribution of certain components of reading ability in grade, to conduct property valuation, for prediction of exam performance based on factors such as revision time, test anxiety, lecture attendance and gender, for performance analysis of the soccer teams, to forecast water consumption in a specific region, for modelling and predicting risk of a disease and so on. You are required to plan a research project on application of the Multiple Regression to solve a real life problem.