Use the following data points that have a linear relationship: Substance Abuse and Suicide: Percent of the Total U.S. Population Y VARIABLE X VARIABLE
Use the following data points that have a linear relationship: Substance Abuse and Suicide: Percent of the Total U.S. Population Y VARIABLE X 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 1. Run a bivariate correlation on Substance Use and Suicides. Report the Pearson correlation coefficient. 2. Find a linear model of the relationship between the X and Y variables and report the regression line. 3. Provide an output of the SPSS results and interpret the results using correct APA style. 4. In 300-500 words, address the following: Identify the predictor variable and the criterion variable. Describe the relationship between Substance Use and Suicides in terms of strength (weak/strong) and direction (positive/negative). Discuss whether you can make cause and effect statements when you get a significant correlation.
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The table with data on substance abuse X variable and suicide rates Y variable from 1999 to 2018 The task includes Bivariate correlation Find the Pearson correlation coefficient between substance use ...See step-by-step solutions with expert insights and AI powered tools for academic success
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