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

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

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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 (crmrt) 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: **Description of the Scatter Plot:** - Title: "Crime Rate (per 1,000) vs. Unemployment Rate (%)" - X-axis: Unemployment Rate (%), ranging from 0 to 12 - Y-axis: Crime Rate (per 1,000), ranging from 0 to 200 - Data Points: Blue dots representing different cities 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 initial assumptions might indicate.
Transcribed Image Text:**Empirical Analysis** We begin our analysis by describing the simple relationship between crime rates (crmrt) 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: **Description of the Scatter Plot:** - Title: "Crime Rate (per 1,000) vs. Unemployment Rate (%)" - X-axis: Unemployment Rate (%), ranging from 0 to 12 - Y-axis: Crime Rate (per 1,000), ranging from 0 to 200 - Data Points: Blue dots representing different cities 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 initial assumptions might indicate.
## Empirical Analysis ### Education vs. Wages This scatter plot illustrates the relationship between education (measured horizontally) and wages (measured vertically). - **X-Axis (Horizontal):** Represents the level or amount of education. The scale ranges from 0 to 3500, although the specific educational metric is not labeled. - **Y-Axis (Vertical):** Indicates the wage level, ranging from 0 to 20, which could possibly represent hourly wage rates, weekly wages, or another wage measure. - **Data Points:** Each blue diamond symbolizes an individual data point correlating a particular education level with a corresponding wage. The clusters of points suggest varying degrees of correlation. ### Graph Insights - The majority of data points are clustered between the education levels of approximately 500 to 1500. - Wages predominantly range from 10 to 18 for these education levels. - There is a noticeable concentration of data points, indicating a potential correlation between certain levels of education and wage brackets. This chart aids in analyzing how education levels may influence wage outcomes, although without specific labels or a trend line, interpretations require careful consideration of external variables.
Transcribed Image Text:## Empirical Analysis ### Education vs. Wages This scatter plot illustrates the relationship between education (measured horizontally) and wages (measured vertically). - **X-Axis (Horizontal):** Represents the level or amount of education. The scale ranges from 0 to 3500, although the specific educational metric is not labeled. - **Y-Axis (Vertical):** Indicates the wage level, ranging from 0 to 20, which could possibly represent hourly wage rates, weekly wages, or another wage measure. - **Data Points:** Each blue diamond symbolizes an individual data point correlating a particular education level with a corresponding wage. The clusters of points suggest varying degrees of correlation. ### Graph Insights - The majority of data points are clustered between the education levels of approximately 500 to 1500. - Wages predominantly range from 10 to 18 for these education levels. - There is a noticeable concentration of data points, indicating a potential correlation between certain levels of education and wage brackets. This chart aids in analyzing how education levels may influence wage outcomes, although without specific labels or a trend line, interpretations require careful consideration of external variables.
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