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 |
- Run a bivariate correlation on Substance Use and Suicides. Report the Pearson correlation coefficient.
- Find a linear model of the relationship between the X and Y variables and report the regression line.
- Provide an output of the SPSS results and interpret the results using correct APA style.
- 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.
