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 = -0.8 * weight + 60
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Davel Ward
2
72 kgGirdlestone
3
66 kgKudus
4
58 kgNiyonshuti
5
63 kgAmanuel
8
63 kgKangangi
26
64 kgEyob
28
61 kg
2
72 kgGirdlestone
3
66 kgKudus
4
58 kgNiyonshuti
5
63 kgAmanuel
8
63 kgKangangi
26
64 kgEyob
28
61 kg
Weight (KG) →
Result →
72
58
2
28
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DAVEL WARD Shaun | 72 |
| 3 | GIRDLESTONE Dylan | 66 |
| 4 | KUDUS Merhawi | 58 |
| 5 | NIYONSHUTI Adrien | 63 |
| 8 | AMANUEL Meron | 63 |
| 26 | KANGANGI Suleiman | 64 |
| 28 | EYOB Metkel | 61 |