calculating the mean value of the median income variable as well as the mean value of the population variable separately for each CollGradGroup value

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this is a part of a hw problem. I've done the previous part and i'm including the code for it. please build on that, and let me know if you need help. You are interested in calculating the mean value of the median income variable as well as the mean value of the population variable separately for each CollGradGroup value. (Thus, you want the mean income for high, med-high, med-low, and low as well as the mean population for each of them as well). Create this in three ways: i) As a SAS dataset, where the variables are meaninc and meanpop. ii) In a table using PROC TABULATE. iii) In a scatterplot, where x = meanpop and y = meaninc. Comment on the pattern that you that you see in the graph. attached find the excel files. here is my code up to that point: FILENAME REFFILE '/home/u57975864/sas/Median Income by Zip Code in US(1).xlsx'; PROC IMPORT DATAFILE=REFFILE DBMS=XLSX OUT=Nation; GETNAMES=YES; RUN; *PROC Contents DATA=Nation; RUN; FILENAME REFFILE '/home/u57975864/sas/Hw solutions/PA College Graduation By Zip Code(1).xlsx'; PROC IMPORT DATAFILE=REFFILE DBMS=XLSX OUT=PaGrad; GETNAMES=YES; RUN; *PROC CONTENTS DATA=PaGradRate; RUN; *number 2; data NewNation; set Nation; rename Zip=ZipCode; run; proc sort data=NewNation; by ZipCode; proc sort data= PaGrad; by ZipCode; data merged; merge NewNation PaGrad; by ZipCode; run; data match nograd noinc; merge NewNation(in=a) PaGrad(in=b); by ZipCode; if a and b then output match; else if a and not b then output nograd; else output noinc; run; proc print data=match (obs=20);title 'Match'; proc print data=nograd (obs=20); title 'No Grad'; proc print data= noinc; title 'No Income'; *number 3; proc contents data= match; run; proc contents data= nograd; run; proc contents data=noinc; run; *problem4; *part a; data match2; set match; rename '% College Grad.'n= Grad_rate_percentage; run; proc means data=match2 q1 median q3; var Grad_rate_percentage; run; *part b; proc format; value NCollGradGroup 0='Low' 1='Mid-Low' 2='Mid-High' 3='High'; run; proc rank data=match2 groups=4 out=want; var grad_rate_percentage; ranks CollGradGroup; format CollGradGroup NCollGradGroup.; run; proc print; run;

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