Adjustment for variable (age, weight, sex, BMI, etc.)

[#1]

I am running a one-way ANOVA and am looking for a solution to match/adjust the analysis based on my demographic variables (age, weight, etc.). 

Any solution to this?

Best, 

JD

[#2]

1. Select Analyze > Fit Model.
2. Select Genotype and click Y.
3. Select Glucagon and all the covariates.
4. Do you expect interaction effects?
   1. If so, click Macros and select Factorial to Degree (2).
   2. If not, click Add.
5. Click Run.

[#3]

would you happen to know if I can get the means and std of the adjusted results? When I do the process you've described I can see the p value of the adjusted variables, but I don't see their distribution. I know that in SPSS this is one of the outputs.

[#4]

I think, it's possible to use "Analyze > Fit Y by X", if the continuous variables to transform to discrete (better binary). For example, for age take less/more than 60, for weight a certain number that divides population into normal weight and obese, etc. Anyway: Select Glucagon as Y.

[#5]

Hi 

Did you find your answer?

I need to adjust a variable with age and gender, I am working with SPSS and R. 

Would you please share your method? 

Tnx

ER.