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C532: ANOVA & Regression Modeling
Nov 14, 2011
Y. Cao
26
Now begin our graphs for the 3rd model but using the SPSS data set from the
previous tutorial .
C530_clbp.sav
,
Why? Because the interaction term is not
significant, so we won’t include it!
Remember: it’s always helpful to look at a graph.
We use a simple scatter plot. Define x and y axes properly (see the graph).
GET
FILE='J:\PROJECTS\DATA\Analysis\K30\C532_2010\C530_clbp.sav'.
GRAPH
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Nov 17, 2010
Y. Cao
27
/SCATTERPLOT(BIVAR)=ha1_rola WITH ha2_rola BY tx
/MISSING=LISTWISE.
We see that the 2 treatments perform almost the same good thing on the
patients. We may say that the 2 lines are parallel.
C532: ANOVA & Regression Modeling
Nov 17, 2010
Y. Cao
28
We can add a 45 degree line to it if we like. Go to
Options > Reference Line
from equation
….
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Nov 17, 2010
Y. Cao
29
C532: ANOVA & Regression Modeling
Nov 17, 2010
Y. Cao
30
The 45 degree
red line
indicates that if the data point lies above it then the RMQ
score at week 3 > RMQ score at baseline, so the patient is getting worse after
treatment; if the data point is below the line then it means the RMQ score at
week 3 < RMQ score at baseline so the patient is getting better (for example the
low back pain).
Can you see this?
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Nov 17, 2010
Y. Cao
31
If we want to have the 2 parallel lines on the graph, we can do it.
Repeat the steps on page 28.
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This note was uploaded on 01/03/2012 for the course C 532 taught by Professor Long during the Fall '11 term at Palmer Chiropractic.
 Fall '11
 Long

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