Which of the following is suggested for developing good regression models?

A getting to know your data by performing preliminary analyses

B identifying good candidate models

C checking and validating your assumptions using residual plots and other statistical tests

D identifying any influential observations or collinearity

E revising the model if needed

F validating the model with data that's not used to build the model

G all of the above

Ha,c, anddonly