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 = -1.2 * weight + 93
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Kudus
2
58 kgDavel Ward
3
72 kgNiyonshuti
4
63 kgGirdlestone
6
66 kgKangangi
13
64 kgAmanuel
25
63 kgEyob
50
61 kg
2
58 kgDavel Ward
3
72 kgNiyonshuti
4
63 kgGirdlestone
6
66 kgKangangi
13
64 kgAmanuel
25
63 kgEyob
50
61 kg
Weight (KG) →
Result →
72
58
2
50
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KUDUS Merhawi | 58 |
| 3 | DAVEL WARD Shaun | 72 |
| 4 | NIYONSHUTI Adrien | 63 |
| 6 | GIRDLESTONE Dylan | 66 |
| 13 | KANGANGI Suleiman | 64 |
| 25 | AMANUEL Meron | 63 |
| 50 | EYOB Metkel | 61 |