Regression Models
To perform regression analysis in SPSS, you can use the following steps:
Linear Regression:
1. Open SPSS:
- Launch SPSS and open your dataset.
2. Select Analyze:
- Navigate to the “Analyze” menu at the top.
3. Choose Regression:
- Under “Analyze,” select “Regression” and then choose “Linear.”
4. Specify Variables:
- Move the dependent variable (the outcome variable) into the “Dependent” box.
- Move the independent variables (input features) into the “Independent(s)” box.
5. Options (Optional):
- You can click on the “Statistics” button to request additional statistics.
- Click on the “Plots” button to request diagnostic plots.
- Explore other options as needed.
6. Click OK:
- Once you’ve set up your variables and options, click “OK” to run the linear regression analysis.
7. Interpret Results:
- Examine the output for coefficients, significance levels, R-squared, and other relevant statistics.
Multiple Regression:
1. Follow Steps 1-3:
- Follow the steps mentioned for linear regression.
2. Specify Variables:
- Move multiple independent variables into the “Independent(s)” box.
3. Click OK:
- Proceed with the analysis by clicking “OK.”
4. Interpret Results:
- Review the output for coefficients, significance levels, R-squared, and other relevant statistics.
Polynomial Regression:
1. Follow Steps 1-3:
- Follow the initial steps for linear regression.
2. Choose Options:
- After selecting “Linear Regression,” click on the “Options” button.
- Check the box for “Polynomial” and specify the degree of the polynomial you want to fit.
3. Specify Variables:
- Move the dependent and independent variables as usual.
4. Click OK:
- Proceed with the analysis by clicking “OK.”
5. Interpret Results:
- Examine the output for coefficients and other relevant statistics.
Remember, interpretation of the results is crucial, and you should pay attention to the significance of coefficients, goodness-of-fit measures, and any diagnostic plots to assess the assumptions of the regression models.