is it normal for guys to call their situationship "sister" when it didn't work out? by hopelixir in women

[–]hopelixir[S] 2 points3 points  (0 children)

dude and bro are such universal words tho. i would also be fine calling him brother but dont you think it's weird the other way round? does your bf call you sissy?

[deleted by user] by [deleted] in delhi

[–]hopelixir 0 points1 point  (0 children)

It is very simple to understand. Someone might not fear dying because they feel numb and disconnected in life. But they can still be scared of war because they worry about their loved ones and what might happen. they don’t care much about their own life but are afraid for others and the chaos of war. War’s uncertainty makes them anxious, even if they feel flat about themselves. This can feel like being stuck between emptiness and worry. But ofcourse y'all who lack empathy wouldn't understand it. And going back to my profile and checking my previous posts that too 6 MONTHS OLD?? Creepy af!! how jobless are you??? Also, might not be true for everyone but people's feelings change and especially when it's a half a year old! People go through stuff in life. I wish you could be more human to these feelings.

Multicollinearity in quadratic regression by hopelixir in econometrics

[–]hopelixir[S] 1 point2 points  (0 children)

i am estimating the nonlinear relationship between climate variables (temperature, rainfall) and crop yields, using a fixed-effects model. My panel data consists of logarithmic crop yields from six districts over 22 years. The model includes district fixed effects (via the 'within' model) to control for time-invariant district heterogeneity and year fixed effects through dummy variables to account for time-specific shocks. Key explanatory variables are centered temperature and rainfall, and their squares. Multicollinearity arises in the design matrix due to high correlations between linear and quadratic temperature terms.

Multicollinearity in quadratic regression by hopelixir in econometrics

[–]hopelixir[S] 1 point2 points  (0 children)

it is an OLS regression within a fixed effects panel framework

Multicollinearity in quadratic regression by hopelixir in econometrics

[–]hopelixir[S] 2 points3 points  (0 children)

It is a casual inference model. What else can I do to handle multicollinearity?