Struggling in SAS. I could use assistance - sas

Question

I am really new to SAS and I am struggling. I am trying to create a logistic regression model. The three variables I need are student, balance, and income. but I keep on getting an error message. The error I am getting:
1 OPTIONS NONOTES NOSTIMER NOSOURCE NOSYNTAXCHECK;
72
NOTE: PROCEDURE LOGISTIC used (Total process time):
real time 0.00 seconds
cpu time 0.00 seconds
ERROR: File WORK.CREDIT.DATA does not exist.
NOTE: The SAS System stopped processing this step because of errors.
73 proc logistic data=credit;
74 class gender/ param=glm;
75 model default (event='1') = gender age;
76 run;
77
78 OPTIONS NONOTES NOSTIMER NOSOURCE NOSYNTAXCHECK;
90
Code:
proc logistic data=credit;
class gender/ param=glm;
model default (event='1') = gender age;
run;
I changed my code to:
proc logistic WORK.IMPORT;
class gender/ param=glm; model default (event='1') = student balance income;
run;
and now I am getting this:
OPTIONS NONOTES NOSTIMER NOSOURCE NOSYNTAXCHECK;
72
NOTE: PROCEDURE LOGISTIC used (Total process time):
real time 0.00 seconds
cpu time 0.00 seconds
NOTE: The SAS System stopped processing this step because of errors.
73 proc logistic WORK.IMPORT;
___________
22
201
ERROR 22-322: Syntax error, expecting one of the following: ;, ALPHA, COVOUT, DATA, DESC, DESCENDING, EXACTONLY, EXACTOPTIONS, IN,
INEST, INMODEL, MAXRESPONSELEVELS, MISSING, MULTIPASS, NAMELEN, NOFIT, NOPRINT, ORDER, OUT, OUTDESIGN, OUTDESIGNONLY,
OUTEST, OUTMODEL, PLOT, PLOTS, REF, REFERENCE, ROCOPTIONS, RORDER, SIMPLE, TRUNCATE.
ERROR 201-322: The option is not recognized and will be ignored.
74 class gender/ param=glm; model default (event='1') = student balance income;
75 run;
76
77 OPTIONS NONOTES NOSTIMER NOSOURCE NOSYNTAXCHECK;
89
I am getting closer:
proc logistic data= WORK.IMPORT;
class gender/ param=glm; model default (event='1') = student balance income;
run;
New error variable gender not found.

Answer 1

Let's start with the basics and use sashelp.heart to create a simple logistic regression model and break down each statement.
proc logistic data=sashelp.heart plots=all;
class sex(ref='Male') / param=glm;
model status(event='Dead') = Sex Weight Height AgeAtStart Smoking;
run;
proc logistic data=sashelp.heart plots=all;
Start the proc logistic procedure, which creates logistic regression models, and print all the plots it produces. Read our data from sashelp.heart.
class sex(ref='Male') / param=glm;
Tell proc logistic that the variable sex is a categorical variable. We want to make our reference value males and use GLM encoding. The / indicates additional options for the class statement. Many procedures use this type of options syntax. Check the procedure's documentation to learn about its options and features.
The class statement must precede the model statement. proc logistic needs to know which variables are categorical before it starts modeling.
model status(event='Dead') = Sex Weight Height AgeAtStart Smoking;
Estimate a logistic regression model using dead as our event of interest. In other words, we're creating parameter estimates of the log odds that someone will die.