Executive summary
Multiple linear regression analysis is a statistical tool of analysis that is commonly used to forecast a variable, which is dependent on several independent variables based on historical data. Multiple linear regression analysis is normally used to evaluate the nature of the correlation between the dependent variable denoted as y and the independent variables (X1, X2Xn). The developed model is then used to predict levels of the dependent variable y. Multiple linear regressions is important in business, economics, medicine, psychology among many other fields.
The correlation between Y predicted and Y actual is called the multiple correlation coefficients which is ...