spurious correlations  Examine the spurious correlation attached.  Present findings that would suggest the correlation is true and Explain the variations in the lines of regression for each X value.

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spurious correlations 

Examine the spurious correlation attached.

 Present findings that would suggest the correlation is true and Explain the variations in the lines of regression for each X value.

‒‒‒‒‒‒‒‒‒‒
4.95 per 1,000
Divorce rate in Maine
4.62 per 1,000
04.29 per 1,000
3.96 per 1,000
2000
‒‒‒‒‒‒‒‒‒‒‒‒‒‒
2000
2001
2001
Divorce rate in Maine
correlates with
Per capita consumption of margarine
Correlation: 99.26% (r=0.992558)
‒‒‒‒‒‒‒‒‒‒‒‒‒
2002
2003
2002
2005
• Margarine consumed: 4lbs
• Divorce rate in Maine: 4.1 per 1,000
2004
2003
2004
Data sources: National Vital Statistics Reports and U.S. Department of Agriculture
2005
2005
2006
2006
Margarine consumed Divorce rate in Maine
2007
2007
2008
2008
2009
2009
‒‒‒‒‒‒‒‒‒‒
8lbs
6lbs
4lbs
2lbs
III
Margarine consumed
tylervigen.com
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Transcribed Image Text:‒‒‒‒‒‒‒‒‒‒ 4.95 per 1,000 Divorce rate in Maine 4.62 per 1,000 04.29 per 1,000 3.96 per 1,000 2000 ‒‒‒‒‒‒‒‒‒‒‒‒‒‒ 2000 2001 2001 Divorce rate in Maine correlates with Per capita consumption of margarine Correlation: 99.26% (r=0.992558) ‒‒‒‒‒‒‒‒‒‒‒‒‒ 2002 2003 2002 2005 • Margarine consumed: 4lbs • Divorce rate in Maine: 4.1 per 1,000 2004 2003 2004 Data sources: National Vital Statistics Reports and U.S. Department of Agriculture 2005 2005 2006 2006 Margarine consumed Divorce rate in Maine 2007 2007 2008 2008 2009 2009 ‒‒‒‒‒‒‒‒‒‒ 8lbs 6lbs 4lbs 2lbs III Margarine consumed tylervigen.com ‒‒‒‒‒‒‒‒‒‒ |‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒
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