linear regression - How should I incorporate State N as a weight variable in SPSS? -


my data structure is:

state           n           var1            var2 alabama         23          54              42 alaska          4           53              53 arizona         53          75              65

var1 , var2 aggregated percentage values @ state level. n number of participants in each state. run linear regression between var1 , var2 consideration of n weight, best way in spss?

you can either use weight by or use subcommand on regression - examples below.

data list free / state (a15) n  var1  var2 (3f2.0). begin data alabama         23          54              42 alaska          4           53              53 arizona         53          75              65 end data.  weight n. regression   /missing listwise   /statistics coeff outs r anova   /criteria=pin(.05) pout(.10)   /noorigin    /dependent var1   /method=enter var2.  *or using subcommand. weight off.     regression   /missing listwise   /regwgt=n   /statistics coeff outs r anova   /criteria=pin(.05) pout(.10)   /noorigin    /dependent var1   /method=enter var2.

you can see these 2 procedures produce same estimates. , if run regression without weighting or using regwgt subcommand result in different estimates example.


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