How to calculate regression with dummy variables?

12 次查看（过去 30 天）
JFz
JFz 2018-7-17
编辑： the cyclist 2018-7-17
Hi, I am trying to use 2nd degree polynomial regression with dummy variables. Which function should I use? Thanks for any help!

请先登录，再回答此问题。

采纳的回答

the cyclist
the cyclist 2018-7-17
编辑：the cyclist 2018-7-17
If you have the Statistics and Machine Learning Toolbox, take a look at the fitlm function.
You might also find the dummyvar command useful for creating dummy variables.
Take a look at Regression with Categorical Covariates for an example.
  2 个评论
JFz
JFz 2018-7-17
Thanks! But fitlm is linear model. I need polynomial (2 degree or 3 degree). What function should I use? Should I use fitnlm or polyfit? Thanks again! Jennifer
the cyclist
the cyclist 2018-7-17
编辑：the cyclist 2018-7-17
Do you mean that you have polynomials for your independent variables, like
y = a + b*x + c*x^2
That is a linear model. "Linear" refers to the coefficients, not the powers (or whatever) of the variables.
On the other hand, something like
y = a + x^b
is nonlinear in the coefficient. Yes, you would need fitnlm for something like that.

请先登录，再进行评论。

更多回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Support Vector Machine Regression 的更多信息

标签

产品


版本

R2018a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by