 # SAS Linear Model

Subject Mathematics General Statistics

## Question

Using SAS for linear model create a project that includes:

-description
variables from x1 to x6
dependent
regressors

why
population

## Solution Preview

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*** Power analysis for actual sample ***;
if _dfe > 0 then _mse = _sse / _dfe;
else             _mse = .;
if df > 0 and f > 0 then _nc_ = f * df;
ssizetyp = 'Observed';
do _alpha_ = .05; ** alphas **;
if _dfe > 0 and df > 0 and f > 0 then do;
** calculate power **;
_power_ = sdf("f",finv(1-_alpha_,df,_dfe,0),df,_dfe,_nc_);
if _power_ > .999 then _power_ = 0.999;
** calculate least significant number **;
_lsn_ = .;
if ss <= 0 then continue;

drop _delta _lsnalp_;
_lsn_ = _dfm+1; _delta = ss / _totn;
do until(_lsnalp_ < _alpha_ or _lsn_ > 1000);
_lsn_ = _lsn_ + 2;
_lsnalp_ = sdf("f",_lsn_*_delta/(df*_mse),df,_lsn_-_dfm-1);
end;
if sdf("f",(_lsn_-1)*_delta/(df*_mse),df,(_lsn_-1)-_dfm-1) <
_alpha_ then _lsn_ = _lsn_ - 1;
end;
else _power_ = .;
output;
end;
end;...

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