Regression analysis is one of the most popular statistical tools that’s used to investigate the relationship among numerical variable. To do regression analysis using SPSS, you can follow these steps :
- On the main menu, click ‘analyze’ -> ‘regression’ -> ‘linear’.
- Enter dependent variable into ‘dependent box’ and enter independent variable into ‘independent box’.
- click ‘statistics’ and choose the output that you need :
- ‘estimate’ : will give you estimation of regression coefficient.
- ‘confidence interval’ : will give you confidence interval of regression coefficient.
- ‘model fit’ : to see coefficient of determination.
- ‘descriptive’ : will give you mean, standard deviation and count of observation that you use.
- ‘durbin watson’ : will give you durbin watson statistic to examine autocorrelation in the model.
- ‘casewise diagnostics’ : to examine outlier in the model.
- click ‘continue’
- to check assumption of normality of residual, click ‘plots’, you can use standardized residual plot and then choose normality probability plot.
- click ‘continue’ -> ‘OK’.
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