Temperature and Humidity
In this project we are going to study the relationship between temperature and humidity. For the nearest big city in your area, find the hourly temperature and humidity readings from 7 a.m. until 11 p.m. for some day this month. This information can usually be found in a newspaper such as The Dallas Morning News. If you are unable to locate the readings, use the data in the table below which contains the time, temperature (in Fahrenheit), and humidity (as a percentage) for Saturday, July 8, 2000 at the DFW International Airport.
|
Time |
Temperature |
Humidity |
|
7 a.m. |
78 |
79 |
|
8 a.m. |
81 |
72 |
|
9 a.m. |
84 |
65 |
|
10 a.m. |
88 |
55 |
|
11 a.m. |
91 |
50 |
|
12 p.m. |
93 |
47 |
|
1 p.m. |
94 |
44 |
|
2 p.m. |
96 |
40 |
|
3 p.m. |
96 |
42 |
|
4 p.m. |
96 |
40 |
|
5 p.m. |
97 |
40 |
|
6 p.m. |
96 |
39 |
|
7 p.m. |
95 |
40 |
|
8 p.m. |
92 |
47 |
|
9 p.m. |
89 |
46 |
|
10 p.m. |
86 |
57 |
|
11 p.m. |
84 |
61 |
Use a statistical package or a graphing calculator to make a scatterplot of this data with the temperature as the independent variable and the humidity as the dependent variable. Then fit this data set with a least-squares line. Interpret the R2 value for this line. Using your linear model, predict the humidity for temperatures of 83 and 60. Discuss the reasonableness of your answers.
Related Link: