Hello, this question may be relatively simple, I am just starting to learn all this so thank you in advance. To simplify my data, let's say I have 1 outcome in 37 subjects. Those subjects were technically allocated to two age groups (young adult and senior), but I also want to analyse the results continuously instead of grouped by age. They were also of both sexes so I want to see if that also has an effect on the outcome. My data, for example, can look something like this (I have changed the outcome values for testing purposes): Data; input Sex$ Age Value; cards; M 13 1
M 3 0.5
F 2 0.6
M 3 0.5
M 3 0.5
M 3 0.5
F 1 0.6
F 11 1.2
F 2 0.6
M 3 0.5
M 13 1
F 2 0.6
F 3 0.6
F 3 0.6
M 9 1
M 1 0.5
M 9 1
M 9 1
F 13 1.2
M 11 1
F 11 1.2
M 11 1
M 3 0.5
F 3 0.6
M 3 0.5
M 1 0.5
M 16 1
M 11 1
M 3 0.5
M 1 0.5
M 2 0.5
F 9 1.2
F 9 1.2
M 3 0.5
F 2 0.6
F 12 1.2
F 9 1.2 I have other predictors I'd like to look into as well such as weight, date sample was collected, and so on, but am not sure if I can just add them here? How would I go about testing to see if age and sex have an impact on the Value? So far I have tried this (inserted below), but it does not like the sex variable. Also, could I include other predictors into this same code without having to run another one? /*Test Data*/
Data;
input Sex$ Age Value;
cards;
M 13 1
M 3 0.5
F 2 0.6
M 3 0.5
M 3 0.5
M 3 0.5
F 1 0.6
F 11 1.2
F 2 0.6
M 3 0.5
M 13 1
F 2 0.6
F 3 0.6
F 3 0.6
M 9 1
M 1 0.5
M 9 1
M 9 1
F 13 1.2
M 11 1
F 11 1.2
M 11 1
M 3 0.5
F 3 0.6
M 3 0.5
M 1 0.5
M 16 1
M 11 1
M 3 0.5
M 1 0.5
M 2 0.5
F 9 1.2
F 9 1.2
M 3 0.5
F 2 0.6
F 12 1.2
F 9 1.2
;
run;
proc reg;
model Value= Age Sex;
run;
proc reg;
model Value= Age;
run;
proc reg;
model Value= Sex;
run;
Proc reg;
model Value= Age Sex / selection= stepwise slentry=0.05;
run;
proc corr;
var Sex Age Value;
run; I have taken one stats course so far and this was not included, so I am a bit out of my wheelhouse on this! Thank you so much in advance,
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