Identify the correlation coefficient for each of the possible pairings of variables. Describe the relationship in terms of strength (weak/strong) and direction (positive/negative).

Benchmark – Correlation and Regression Project

Directions: Use the following information to complete the questions below.
Use the following data points that have a linear relationship:
Substance Abuse and Suicide: Percent of the Total U.S. Population
X VARIABLE Y VARIABLE
Year Substance Use Suicides
1999 6.82 0.000105
2000 6.78 0.000104
2001 7.00 0.000107
2002 7.12 0.00011
2003 7.09 0.000108
2004 7.05 0.00011
2005 7.17 0.000109
2006 7.24 0.00011
2007 7.28 0.000113
2008 7.36 0.000116
2009 7.80 0.000118
2010 7.81 0.000121
2011 7.88 0.000123
2012 7.87 0.000125
2013 8.07 0.000126
2014 8.12 0.00013
2015 8.06 0.000133
2016 8.17 0.000134
2017 8.18 0.00014
2018 8.23 0.000142

In 500-750 words, address the following:

Identify the correlation coefficient for each of the possible pairings of variables. Describe the relationship in terms of strength (weak/strong) and direction (positive/negative).

Find a linear model of the relationship between the three variables of interest. Identify the predictor variables and the criterion variable.

Provide an output of the SPSS results and interpret the results using correct APA style. Be sure to include the following in your interpretation:
Cause and effect concepts
Independent/dependent variable relationships?
Why is important to do random sampling?
What is regression fallacy? How may it apply to the relationships discovered?

Identify the correlation coefficient for each of the possible pairings of variables. Describe the relationship in terms of strength (weak/strong) and direction (positive/negative).

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