I'm trying to understand the interpretation of estimated coefficients. Could you explain how to interpret them in the context of statistical analysis or modeling?
7 answers
HanRiverWave
Sat Oct 12 2024
The concept of quantile regression provides insights into the conditional distribution of a dependent variable.
CryptoLord
Sat Oct 12 2024
Specifically, the coefficient estimated at a given quantile reflects the sensitivity of the dependent variable to changes in a particular regressor.
TaekwondoPower
Sat Oct 12 2024
This interpretation holds true conditional on the dependent variable being at the specified quantile, indicating a localized relationship between the variables.
ZenMindfulness
Fri Oct 11 2024
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MatthewThomas
Fri Oct 11 2024
The marginal change in the regressor leads to a marginal change in the dependent variable, as captured by the quantile coefficient.