Great intro to simple regression. Wish you would have discussed the implications of the p-values in the multiple regression example. They do not all seem significant. What does that mean for inference?
So, coefficient is the slope right? Also, wanted to ask how do we explain B1, B2, and sigma in the following regression model: hdi = B0 + B1ethnicity + B2dem_area + Qrural_cat
Hi Jeff, I ran logistic and linear regression models. I having trouble understanding the outcomes of my model. Where I got P value 0.000 but CI does include 1 and vice versa where p-value is not significant but CI doesn't include 1. So how can it happen. Is there any explanation for that? Or there is something wrong in my commands or dataset.
Great intro to simple regression. Wish you would have discussed the implications of the p-values in the multiple regression example. They do not all seem significant. What does that mean for inference?
Hi Jeff, I was wondering if you can do a video on multiple regression decomposition analysis and how to test for heteroscedasticity?
So, coefficient is the slope right?
Also, wanted to ask how do we explain B1, B2, and sigma in the following regression model:
hdi = B0 + B1ethnicity + B2dem_area + Qrural_cat
Hi Jeff, I ran logistic and linear regression models. I having trouble understanding the outcomes of my model. Where I got P value 0.000 but CI does include 1 and vice versa where p-value is not significant but CI doesn't include 1. So how can it happen. Is there any explanation for that? Or there is something wrong in my commands or dataset.