how to find correlation of multiple models what is the difference between a regression model and a multi-variable model? what's the difference between multiple comparison and unbiased model why would an unbiased coefficient be useful which statement best describes the problem of overfitting multiple models? __________. what is a common mistake in regression why does an empirical model suffer from multiple comparison? when i do a multiple comparison, i can tell if the coefficient is unbiased why is the coefficient estimate weak when the omitted variables in dms are removed, t statistics are dropped. why is r2 considered high in multiple comparison why does correlation increase with time why does the coefficient of correlation go down with multiple comparisons why the r2 of a model should not be higher when there is an interdependent relationship between the dependent variables and the explanatory variables? what is the difference between a single and multiple regression model? what is the problem when an equation is omitted from a model how to get coefficients from model selection how to correct multiple correlation when comparing different models backwards if multiple correlation is used, what is the problem?