if the hierarchical multiple regression is significant, the coefficient of $x_1 would become insignificant. why does a significant first step coefficient become insignificant when a coefficient is insignificant in a hierarchical multiple regression why is it important for a coefficient in a hierarchical multimodal model to be insignificant insignificant coefficient in hierarchical multiple regression where does the coefficient change for a hierarchical multiple regression be significant why is the coefficient of $X_3 insignificant why is the coefficient of $x_1$ significant in step 2 of hierarchical multiple regression? is the coefficient of $X_3 significant what would happen when the significant first step coefficient becomes insignificant in a hierarchical multiple regression why is the first step of hierarchical multiple regression significant when a significant coefficient is added to a dummy variable, the result is: what? what is the difference between significant and insignificant? why is it important that the coefficient of the first step of hierarchical multiple regression is significant? what is significant in first step of hierarchical regression why is the coefficient of $x_1$ if it's insignificant when the significant coefficient becomes insignificant, the hierarchical multiple regression will not show a change in the model. why does the coefficient of the first step become insignificant when does significant coefficient become insignificant why is the coefficient in the two steps of hierarchical multiple regression insignificant