Empirical Analysis 20 18 16 14 12 10 8 6 4 2 0 0 500 EDUCATION VS. WAGES 1000 1500 2000 2500 3000 3500

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter5: Inverse, Exponential, And Logarithmic Functions
Section5.6: Exponential And Logarithmic Equations
Problem 6E
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Please analyze this graph. Here a example, how to analyze 

Empirical Analysis
We begin our analysis by describing the simple relationship between crime rates (crmrte) and the
unemployment rate (unem) across 46 cities. The crime rate is measured as crimes per 1,000 people and
the unemployment rate is measured in percent. The following scatter plot shows the data from our
sample:
200
180
160
140
120
100
80
60
40
20
0
0
Crime Rate (per 1,000) vs. Unemployment Rate
(%)
2
4
6
8
8
10
12
The graph does not show a very clear relationship, but there is a slight negative tendency in it. This
would suggest that a higher unemployment rate is associated with less crime, contrary to what our
Transcribed Image Text:Empirical Analysis We begin our analysis by describing the simple relationship between crime rates (crmrte) and the unemployment rate (unem) across 46 cities. The crime rate is measured as crimes per 1,000 people and the unemployment rate is measured in percent. The following scatter plot shows the data from our sample: 200 180 160 140 120 100 80 60 40 20 0 0 Crime Rate (per 1,000) vs. Unemployment Rate (%) 2 4 6 8 8 10 12 The graph does not show a very clear relationship, but there is a slight negative tendency in it. This would suggest that a higher unemployment rate is associated with less crime, contrary to what our
Empirical Analysis
20
18
16
14
12
10
8
6
4
2
0
0
500
EDUCATION VS. WAGES
1000
1500
2000
2500
3000
3500
Transcribed Image Text:Empirical Analysis 20 18 16 14 12 10 8 6 4 2 0 0 500 EDUCATION VS. WAGES 1000 1500 2000 2500 3000 3500
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