[R] hi all.regarding quantile regression results..
narendarreddy kalam
narendarcse007 at gmail.com
Thu Dec 1 14:12:16 CET 2011
i know this is not about R.
After applying quantile regression with t=0.5,0.6 on the data set WBC(
Wisconsin Breast Cancer)with 678 observations and 9 independent
variables(inp1,inp2,...inp9) and 1 dependent variable(op) i have got the
following results for beta values.
when t=0.5(median regression) beta values b1=0.002641,b2=0.045746,b3=0.
005282,b4=0.004397,b5=0.002641,b6=0.065807,b7=0.005282
,b8=0.031394,b9=0.004993 and intercept is -0.181388
and when t=0.6 beta values are
b1=0,b2=0.01,b3=0,b4=-0.002,b5=0.004,b6=0.1111,b7=0.002,b8=0,b9=0 and
intercept is -0.009 .
sir,how to interpret the above beta coefficients and what do they mean
exactly??.
t=0.5 means are we considering first 50% of the total data?
t=0.6 means are we considering the first 60% of the total data?
can we write a equation like
y=intercept+b1*inp11+b2*inp29+b3*inp3+b4*inp4+b5*inp5+b6*inp6+b7*inp7+b8*inp8+b9*inp9
as in Linear Regression
to calculate the predicted output of y or not??
If we are taking into consideration 5 quantiles of data ,Does it mean
that we are dividing data it into 5 parts??which variables i have to
consider if the data is to be divided into 5 parts?
And
i got 5 equations for 5 quantiles, what exactly each equation represents?
Can i write single equation for the data set as in mean regression by
combining the 5 equations of each quantile.
Please reply me.
Thanks In advance,
With regards
Kalam Naerndar Reddy
M.Tech(IT),
University of Hyderabad.
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