A professor at the University of New Hampshire was interested in evaluating the effect of the unemployment rate on the incarceration rate. Using data from 50 states and the District of Columbia (n = 51), the researcher computed the Pearson’s correlation coefficient between the two

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 11PPS
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. A professor at the University of New Hampshire was interested in evaluating the effect of the unemployment rate on the incarceration rate. Using data from 50 states and the District of Columbia (n = 51), the researcher computed the Pearson’s correlation coefficient between the two variables. The results are presented below.

 

 

Correlations

 

Incarceration

Unemployment

Incarceration

Pearson Correlation

1

.209

Sig. (2-tailed)

 

.142

N

51

51

Unemployment

Pearson Correlation

.209

1

Sig. (2-tailed)

.142

 

N

51

51

 

 

Based on the result of the hypotheses test above: If states want to reduce the number of individuals incarcerated in their state should they put money into programs to reduce unemployment? 

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