Correlation Between Independent and dependent variables

[Mushy]

Hello ,

How could i find dependency/importance/weightage between Dependent variables in SAS?

Example:

Var1 Var2 Result

1      2          5

3     2          7

in the above example weigtage of var2 is higher because the formala is result=var1+2var2

Thanks,

Mushy

[Ksharp]

The first step for you question is summary statistic by exploring scatter plot.

proc sgscatter data=sashelp.heart(obs=100);
matrix height weight Diastolic Systolic/ellipse diagonal=(histogram);
run; 

[PaigeMiller]

---

@Mushy wrote:

How could i find dependency/importance/weightage between Dependent variables in SAS?

Example:

Var1 Var2 Result

1      2          5

3     2          7

in the above example weigtage of var2 is higher because the formala is result=var1+2var2

---

I find this confusing sequence of statements. I am not sure what you want.

You start by asking about correlation between independent and dependent variables in the subject line, and then only talk about dependent variables "How could i find dependency/importance/weightage between Dependent variables in SAS?"

You state the fact "in the above example weigtage of var2 is higher because the formala is result=var1+2var2" but this isn't a question; what is the relevance of this?

[StatDave · Accepted solution]

Your question is not clear, but if you are asking how to assess the relative importance of predictor (independent) variables in a model on a response (dependent) variable, then see this note. 

[Mushy]

@StatDave @Ksharp @PaigeMiller  Thanks for the response. Your posts helped me to explore the statistics graph and used different procs for dependency check.

[ballardw]

I'm not sure what your may be thinking about asking with correlation but if I build a data set with your formula for some data and run a regression:

data examine;
  do x1= 1 to 25;
     do x2 = -5 to 5;
        result = x1 + 2*x2;
        output;
      end;
   end;
run;

proc reg data=examine;
   model result=x1 x2;
run;

The coefficient for X2 is that "weight"

Parameter Estimates
Variable	DF	Parameter Estimate	Standard Error	t Value	Pr > |t|
Intercept	1	0	0	.	.
x1	1	1.00000	0	Infty	<.0001
x2	1	2.00000	0	Infty	<.0001