Logit regression
1. Open the data and click: Analysis-Regression-Binary Logic to open the binary regression dialog box.
2. Put the dependent variable and the independent variable into the grid list, with the dependent variable above and the independent variable below.
3. Set the regression method. The simplest method is chosen here: enter, which means that all variables are included in the equation at one time. Other methods are gradual.
4. For grade data and continuous data, there is no need to set dummy variables. Virtual variables need to be set for multi-classification variables.
5. Select at least 95%CI in the options.
Click OK.
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multiple linear regression
1. Open the data and click Analysis-Regression to open the dialog box of multiple linear regression.
2. Put the dependent variable and the independent variable into the grid list, with the dependent variable above and the independent variable below.
3. Set the regression method. The simplest method is chosen here: enter, which means that all variables are included in the equation at one time. Other methods are gradual.
4. For grade data and continuous data, there is no need to set dummy variables. Virtual variables need to be set for multi-classification variables.
5. Select at least 95%CI in the options.
Click OK.