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 1,000Divorce rate in Maine4.62 per 1,00004.29 per 1,0003.96 per 1,0002000‒‒‒‒‒‒‒‒‒‒‒‒‒‒200020012001Divorce rate in Mainecorrelates withPer capita consumption of margarineCorrelation: 99.26% (r=0.992558)‒‒‒‒‒‒‒‒‒‒‒‒‒2002200320022005• Margarine consumed: 4lbs• Divorce rate in Maine: 4.1 per 1,000200420032004Data sources: National Vital Statistics Reports and U.S. Department of Agriculture2005200520062006Margarine consumed Divorce rate in Maine200720072008200820092009‒‒‒‒‒‒‒‒‒‒8lbs6lbs4lbs2lbsIIIMargarine consumedtylervigen.com‒‒‒‒‒‒‒‒‒‒ |‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒

Answer and explanation given in steps below.

Answered: spurious correlations Examine the…

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.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

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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Definition Definition Relationship between two independent variables. A correlation tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

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