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 = -0.9 * weight + 70
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Niyonshuti
3
63 kgDavel Ward
4
72 kgGirdlestone
7
66 kgKudus
12
58 kgAmanuel
16
63 kgEyob
23
61 kgKangangi
41
64 kg
3
63 kgDavel Ward
4
72 kgGirdlestone
7
66 kgKudus
12
58 kgAmanuel
16
63 kgEyob
23
61 kgKangangi
41
64 kg
Weight (KG) →
Result →
72
58
3
41
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | NIYONSHUTI Adrien | 63 |
| 4 | DAVEL WARD Shaun | 72 |
| 7 | GIRDLESTONE Dylan | 66 |
| 12 | KUDUS Merhawi | 58 |
| 16 | AMANUEL Meron | 63 |
| 23 | EYOB Metkel | 61 |
| 41 | KANGANGI Suleiman | 64 |