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2.  Relationship between two sets of data  The word Correlation is made of Co- (meaning "together"), and Relation  Correlation is Positive when the values increase together  Correlation is Negative when one value decreases as the other increases  Think of scatter plots

3.  Two sets of data can have one of the following:  Many times we can tell the type of correlation by simply looking at a scatter plot of the data.  What do you think each of these look like in a scatter plot? 1.Weak positive correlation 2.Weak negative correlation 3.Strong positive correlation 4.Strong negative correlation 5.Perfect positive correlation 6.Perfect negative correlation 7.No correlation

11.  Can I put a number to this correlation thing?  Why yes, yes you can.  We can calculate something called the Correlation Coefficient  The Correlation Coefficient indicates the strength of the correlation  Correlation Coefficient can range from -1 to +1  A positive correlation coefficient means there is a positive corrleation…imagine that  A negative correlation coefficient means there is a positive corrleation…wow

12.  A correlation coefficient of -1 means there is a perfect negative correlation (linear with negative slope)  A correlation coefficient of +1 means there is a perfect positive correlation (linear with a positive slope)  0 means there is NO correlation