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1 | 1 | #11. Regression |
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| 3 | +1. Click on_**Regression**_ in the_**Statistics**_ category. |
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| 7 | +<figure><imgsrc="../.gitbook/assets/image (141).png"alt=""width="563"><figcaption></figcaption></figure> |
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| 9 | +2. Choose the type of Regression you want to use. |
| 10 | +3._**Data**_: Select the data to be analyzed. You can also choose specific conditions for the data using[_**Subset**_](../data-analysis/5.-subset.md). |
| 11 | +4._**Dependent Variable**_: Choose the dependent variable. |
| 12 | +5._**Independent Variable**_: Choose the independent variable. |
| 13 | +6._**Method(Multiple Linear Regression)**_: Select the variable selection method. -_**Stepwise / Backward / Forward**_ |
| 14 | +7._**Moderated Variable & Mean Centering(Moderated Linear Regression)**_: Select the moderated variable. Choose whether to apply mean centering to the moderating variable. This can reduce multicollinearity and enhance the interpretation of the model. |
| 15 | +8._**Sobel Test(Mediated Linear Regression)**_: You can test the statistical significance of the_**mediation effect**_, which indicates the extent to which the impact of one independent variable on the dependent variable is transmitted through a mediated variable. |
| 16 | +9._**Categorical Variables(Dummy Variable Linear Regression)**_: You can include categorical variables in the regression model using dummy variables. |
| 17 | +10._**Multi-Colinearity Statistics(Excluding Simple Linear Regression)**_: This provides statistics to check for the presence of multicollinearity. |
| 18 | +11._**Residual**_: Select the desired output. |
| 19 | +12._**Code View**_: Preview the generated code. |
| 20 | +13._**Data View**_: Preview the generated data. |
| 21 | +14._**Run**_: Execute the code. |
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