Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.2 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Jõeäär
2
84 kgVahtra
3
85 kgLauk
5
69 kgRäim
8
69 kgPrangel
11
74 kgKiskonen
13
64 kgNisu
14
84 kg
2
84 kgVahtra
3
85 kgLauk
5
69 kgRäim
8
69 kgPrangel
11
74 kgKiskonen
13
64 kgNisu
14
84 kg
Weight (KG) →
Result →
85
64
2
14
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JÕEÄÄR Gert | 84 |
| 3 | VAHTRA Norman | 85 |
| 5 | LAUK Karl Patrick | 69 |
| 8 | RÄIM Mihkel | 69 |
| 11 | PRANGEL Kristo | 74 |
| 13 | KISKONEN Siim | 64 |
| 14 | NISU Oskar | 84 |