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You can write the equation from the parameter estimates table. You can also use a SCORE statement or PROC SCORE or PROC PLM to score new data with a developed model.
@samer_badri75 wrote:
options pageno=1 linesize=80;
goptions reset=all;
title "Multiple regression for shelf_life";
data shelf_life;
input Temp RH Days;
datalines;
10 94 65
10 93 51
10 94 70
9 93 78
;
run;
* Print data set;
proc print data= shelf_life;
run;
* Plot y vs. x variables;
proc gplot data=shelf_life;
plot Days*(Temp RH );
symbol1 i=rl v=star c=black;
run;
* Multiple regression analysis;
ods html;
ods graphics on;
proc reg data=shelf_life;
* Specify regression model and request residual-residual plots;
model Days = Temp RH / clb stb partial tol selaction=RSquare;
run;
Plot r.*pred. r.*nqq.;
run;
quit;
proc reg data=shelf_life;
* Specify regression model and request residual-residual plots;
model Days = Temp / clb stb partial tol selaction=RSquare;
run;
ods graphics off;
ods html close;
quit;
Greeting All
I used multiple regression and I got high R Square with non-significant. How I can write the equation
The code was attached under the name Shelf-life1.
Best Regards
Samir
