•. Clearly stated goal or hypotheses to be verified
• Description of the data set used to verify student’s hypotheses
• Choice of dependent and explanatory variables
• Initial model statement and its subsequent improvements
• correlation analysis
• testing model’s validity using F test
• elimination of nonsignificant variables
• detection of outliers
• Final verification of model’s assumptions
• normality test of residuals
• homoscedasticity test (White’s test)
• Durbint Watson errors correlation test (for time series)
• Conclusions