Hello everyone,
The question i'm stuck on is:
The following data refers to the distance to the horizon from various elevation points. The distance (D) is measured in kilometers and the height (H) is measured in meters above sea level.
The visible distance to the horizon (D) depends on the what your elevation is. Model the data and find a mathematical rule for D as a a function of H.
Use your rule to predict what elevation is needed to be able to see 40kms to the horizon.
I was just wondering how I should begin, and/or what I should do?
Some people have said it's a power function of some sort but I'm unsure...
So if anyone could help that would be amazing
Thank you <3
The question i'm stuck on is:
The following data refers to the distance to the horizon from various elevation points. The distance (D) is measured in kilometers and the height (H) is measured in meters above sea level.
H (Meters) | D (Km) |
1 | 3.55 |
1.5 | 4.4 |
2 | 5 |
2.55 | 5.7 |
3 | 6.2 |
3.5 | 6.7 |
4 | 7.15 |
The visible distance to the horizon (D) depends on the what your elevation is. Model the data and find a mathematical rule for D as a a function of H.
Use your rule to predict what elevation is needed to be able to see 40kms to the horizon.
I was just wondering how I should begin, and/or what I should do?
Some people have said it's a power function of some sort but I'm unsure...
So if anyone could help that would be amazing
Thank you <3