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

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. 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?

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