you explain things so well, much better than my professors. You delivered what I needed to know in 3 minutes when they take a whole lecture. Thank you so much
best explanation. Question. in model 1, the constant P is insignificant, is that a sign that an ovb exist? Once education is added in model 2, the the p-value for the constant becomes significant.
Is there a case when a non significant variable should not be omitted to avoid being biased ? Would your example be possible and still accurate if education was non significant ? Thank your for the great and useful content !!!!
you explained something that my professor struggled to explain in a 3h lecture. You're are hero!
you explain things so well, much better than my professors. You delivered what I needed to know in 3 minutes when they take a whole lecture. Thank you so much
Legend. Super intuitively explained. Thanks dude!
thats amazing how simple you made it sound. thank you so much
best explanation. Question. in model 1, the constant P is insignificant, is that a sign that an ovb exist? Once education is added in model 2, the the p-value for the constant becomes significant.
Is there a case when a non significant variable should not be omitted to avoid being biased ? Would your example be possible and still accurate if education was non significant ? Thank your for the great and useful content !!!!
Very clearly explained thanks 👍🏻
So the OVB is differences between height coefficient before and after including educ variable?
No. You have a ovb, when the missing variable correlates with the dependent and independent variable at the same time.