SPSS_Regression_Analysis

# SPSS_Regression_Analysis - SPSS Regression Analysis When...

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SPSS Regression Analysis When both the dependent variable and the independent variables are both continuous, we should use regression analysis to study the correlational relationship between them. Suppose we are interested in if there is any age difference in intention to buy the Woolworth brand of dog biscuit. Before running the regression, you should examine a scatterplot of Likelihood of buying by Age (Age can be obtained using the Compute command and the formula, Age = 2008 - Year) to determine whether a linear model is reasonable for these variables. To produce the scatterplot, from the menus choose: Graphs Scatter. .. Click Define: Specify the Y and the X variables: Click OK to get the following scatterplot:

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Graph 30.00 40.00 50.00 Age 2 4 6 8 10 l i k e h o d f b u y n g A A A A A A A A A A AA A A A A A A A A To see a best-fit line overlaid on the points in the scatterplot, activate the graph by double-clicking on it.
From the Chart Editor menus choose: Chart Options. .. Select Total in the Fit Line group. Click OK to get the best fitting line: The resulting scatterplot appears to be unsuitable for linear regression. Anyhow, we would still go ahead with the regression analysis using the same X and Y variables. To do multiple regression in SPSS, simply pull down the Analyze menu, select Regression and then Linear to bring up a dialog box. Select 'likelihood of buying' as the dependent variable and put it under Dependent, and age as the independent variable under Independent. Select id as the case labeling variable.

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## SPSS_Regression_Analysis - SPSS Regression Analysis When...

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