英文:
How to write a code for multiple linear regression looking at predictors sex, age, weight for an outcome
问题
我对统计学非常陌生，只学过一门课程（但没有涵盖这个内容），所以我有点超出我的专业领域。提前感谢你提供的任何帮助。
我正在使用SAS工作，尝试编写一段代码，以确定这些预测变量中的哪些（如果有的话）会影响我的"value"结果。
关于我的数据的详细信息：基本上有4个组，年轻女性成年人、老年女性成年人、年轻男性成年人、老年男性成年人。我为每个组记录了一个值，但想要连续分析这些数据，而不是按组进行，因为每个组的年龄值范围不同。到目前为止，我的数据（以及我尝试但失败的代码）看起来像这样：
/*测试数据*/
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;
我甚至还没有设法添加体重预测变量，因为我不确定如何添加它。我的代码也不喜欢有性别（Sex）这个变量在那里。
我真的只需要弄清楚年龄、性别或体重是否会影响我的"value"。提前感谢！
英文:
I am very new to stats and have only taken one course so far (which did not cover this) so I am a little out of my wheelhouse. Thank you in advance for any help you can give.
I am working in SAS and am trying to figure out how to write a code where I can determine which, if any, of these predictors affect my outcome "value".
Details on my data: 4 groups basically, young female adults, senior female adults, young male adults, senior male adults. I have recorded a value for each group, but want to analyse this data continously rather than by group since each group ranges in age values. So far my data (and code that I have tried, and failed) looks something like this:
/*TestData*/
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 haven't even managed to put the weight predictor in there because I'm not sure how to add it. My code also does not like Sex being there.
I really just need to figure out if age, sex, or weight will affect my "value". Thank you in advance!
答案1
得分: 0
当然，您在性别方面遇到了问题：它是一个分类变量，不是数值变量，因此不适合使用 proc reg。您所需的是其中之一的混合模型。
尝试这样做：
proc mixed;
class sex;
model Value = Age Sex;
run;
英文:
Of course, you have troubles with sex: it is a class variable, not a numeric one, so not suited for proc reg. What you need, is one of the Mixed Models
Try this
proc mixed;
class sex;
model Value = Age Sex;
run;
通过集体智慧和协作来改善编程学习和解决问题的方式。致力于成为全球开发者共同参与的知识库，让每个人都能够通过互相帮助和分享经验来进步。
评论