# How to calculate regression with dummy variables?

12 ビュー (過去 30 日間)
JFz 2018 年 7 月 17 日

Hi, I am trying to use 2nd degree polynomial regression with dummy variables. Which function should I use? Thanks for any help!

サインインしてコメントする。

### 採用された回答

the cyclist 2018 年 7 月 17 日

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 件のコメントなしを表示なしを非表示
JFz 2018 年 7 月 17 日
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 2018 年 7 月 17 日

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.

サインインしてコメントする。

### カテゴリ

Help Center および File ExchangeSupport Vector Machine Regression についてさらに検索

R2018a

### Community Treasure Hunt

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

Start Hunting!

Translated by