SOC202 MARCH 20.docx

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24 Mar 2012
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SOC202 MARCH 20, 2012
CORRELATION
- Entering a new unit measuring ass
- We often want to know the existence and trhe strength of reln b/w two ariables
- What is their co rel
- Correlation is degree of ass
- As edu increases mental health increases
Contd
- Finding a rel exist not indcite degree of ass all say is relationship
- Not know what causes what, see an ass not causation
- Vusualize differences in stgrentth of correlation by means of a scatterplot
Scatter plot
- Graph scores on x and y are scatter
- X is inde
- Y is dep
- Each dot on scattergram is a case in he data set
- The dot is placed at the intersection of the cases scores x and y
Example
- Percent college and voter turnout, percent increases turnout incrases
Regression
- Line of best fit clostest to a scater points
- Greater extetn dots cludtered line stronger reltn
- This one is weak to moderate
- Know it is positive rel
- Correlation is occurring
- Described p or n higher scores higher on other a negative is opp high one mean low on other
Scatter and line
- Inspection of scatter plot firstthiing two interval level
- Level of measurement determine the test
- Interval is correlation or ratio,
- Relation must be straight line, linear
Curvilinear correltion
- Not all reln is straight
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