Pick data on a minimum of four variables (one being dependent and the rest independent) with a minimum sample size of 100.
1. Perform a correlation analysis on your data. Interpret the correlation results. Which independent variable has the strongest significant relationship with the dependent variable?
2. Develop a regression model and use a software package to produce the statistics.
(a) What is the standard error of estimate? Interpret its value.
(b) What is the coefficient of determination, and what does it tell you about the regression model?
(c) Test the overall validity of the model.
(d) Interpret each of the coefficients.
(e) Test to determine whether each of the independent variables is linearly related and makes a significant contribution to the dependent variable.
(f) Provide the final regression model for inference.

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