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The length-weight relationship for american boys and girls

The graph shows length (inches) along the x-axis and weight (pounds) along the y-axis. The following points reflect the length-weight ratio of American boys: (20, 8.0), (22, 10.5), (24, 13.5), (26, 16.4), (28, 19), (30, 21.8), (32, 24.3), (34, 27), (36, 9.3), (38, 32). The following points reflect the length-weight ratio of American girls: (20, 7.9), (22, 10.5), (24, 13.2), (26, 16), (28, 18.8), (30, 21.2), (32, 24), (34, 26.2), (36, 28.9), (38, 31.3).
The line graph shows the relationship between height and weight for boys and girls from birth to 3 years. Point A, for example, shows that a boy of 28 inches in height (measured on the horizontal axis) is typically 19 pounds in weight (measured on the vertical axis). These data apply only to children in the first three years of life.
Length to weight relationship for american boys and girls
Boys from Birth to 36 Months Girls from Birth to 36 Months
Length (inches) Weight (pounds) Length (inches) Weight (pounds)
20.0 8.0 20.0 7.9
22.0 10.5 22.0 10.5
24.0 13.5 24.0 13.2
26.0 16.4 26.0 16.0
28.0 19.0 28.0 18.8
30.0 21.8 30.0 21.2
32.0 24.3 32.0 24.0
34.0 27.0 34.0 26.2
36.0 29.3 36.0 28.9
38.0 32.0 38.0 31.3

Not all relationships in economics are linear. Sometimes they are curves. [link] presents another example of a line graph, representing the data from [link] . In this case, the line graph shows how thin the air becomes when you climb a mountain. The horizontal axis of the figure shows altitude, measured in meters above sea level. The vertical axis measures the density of the air at each altitude. Air density is measured by the weight of the air in a cubic meter of space (that is, a box measuring one meter in height, width, and depth). As the graph shows, air pressure is heaviest at ground level and becomes lighter as you climb. [link] shows that a cubic meter of air at an altitude of 500 meters weighs approximately one kilogram (about 2.2 pounds). However, as the altitude increases, air density decreases. A cubic meter of air at the top of Mount Everest, at about 8,828 meters, would weigh only 0.023 kilograms. The thin air at high altitudes explains why many mountain climbers need to use oxygen tanks as they reach the top of a mountain.

Altitude-air density relationship

The graph shows altitude on the x-axis and air density on the y-axis. A downward sloping lines has the end points (0, 1.2) and (8.828, 0.023). End point (8,828, 0.023) represents the top of Mount Everest.
This line graph shows the relationship between altitude, measured in meters above sea level, and air density, measured in kilograms of air per cubic meter. As altitude rises, air density declines. The point at the top of Mount Everest has an altitude of approximately 8,828 meters above sea level (the horizontal axis) and air density of 0.023 kilograms per cubic meter (the vertical axis).
Altitude to air density relationship
Altitude (meters) Air Density (kg/cubic meters)
0 1.200
500 1.093
1,000 0.831
1,500 0.678
2,000 0.569
2,500 0.484
3,000 0.415
3,500 0.357
4,000 0.307
4,500 0.231
5,000 0.182
5,500 0.142
6,000 0.100
6,500 0.085
7,000 0.066
7,500 0.051
8,000 0.041
8,500 0.025
9,000 0.022
9,500 0.019
10,000 0.014

The length-weight relationship and the altitude-air density relationships in these two figures represent averages. If you were to collect actual data on air pressure at different altitudes, the same altitude in different geographic locations will have slightly different air density, depending on factors like how far you are from the equator, local weather conditions, and the humidity in the air. Similarly, in measuring the height and weight of children for the previous line graph, children of a particular height would have a range of different weights, some above average and some below. In the real world, this sort of variation in data is common. The task of a researcher is to organize that data in a way that helps to understand typical patterns. The study of statistics, especially when combined with computer statistics and spreadsheet programs, is a great help in organizing this kind of data, plotting line graphs, and looking for typical underlying relationships. For most economics and social science majors, a statistics course will be required at some point.

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Source:  OpenStax, Principles of economics. OpenStax CNX. Sep 19, 2014 Download for free at http://legacy.cnx.org/content/col11613/1.11
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