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

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. 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?