Topic 3 - 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

1. Run a bivariate correlation on Substance Use and Suicides. Report the Pearson correlation coefficient.
   1. R = .453
2. Find a linear model of the relationship between the X and Y variables and report the regression line.
   1. Y = .00 + 2.95^-8 (x)
3. Provide an output of the SPSS results and interpret the results
   1. The criterion is suicides and the predictor is substance abuse.
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.