R 2 = 0.403 indicates that IQ accounts for some 40.3% of the variance in performance scores. We now have some first basic answers to our research questions. Here we simply click the “Add Fit Line at Total” icon as shown below.īy default, SPSS now adds a linear regression line to our scatterplot. Right-clicking it and selecting Edit c ontent In Separate Window opens up a Chart Editor window. Let's now add a regression line to our scatterplot. There seems to be a moderate correlation between IQ and performance: on average, respondents with higher IQ scores seem to be perform better. So first off, we don't see anything weird in our scatterplot. GRAPH /SCATTERPLOT(BIVAR)=iq WITH performance /MISSING=LISTWISE /TITLE='Scatterplot Performance with IQ' /subtitle 'All Respondents | N = 10'.
*Scatterplot with title and subtitle from Graphs -> Legacy Dialogs -> Scatter. Walking through the dialogs resulted in the syntax below.
Create Scatterplot with Fit LineĪ great starting point for our analysis is a scatterplot. We'll answer these questions by running a simple linear regression analysis in SPSS. The main thing Company X wants to figure out isĭoes IQ predict job performance? And -if so- how? The resulting data -part of which are shown below- are in simple-linear-regression.sav. APA Guidelines for Reporting RegressionĬompany X had 10 employees take an IQ and job performance test.SPSS Simple Linear Regression Tutorial By Ruben Geert van den Berg under Regression