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 = 0.5 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Kudus
4
58 kgGirdlestone
6
66 kgNiyonshuti
7
63 kgDavel Ward
19
72 kgAmanuel
20
63 kgEyob
23
61 kgKangangi
30
64 kg
4
58 kgGirdlestone
6
66 kgNiyonshuti
7
63 kgDavel Ward
19
72 kgAmanuel
20
63 kgEyob
23
61 kgKangangi
30
64 kg
Weight (KG) →
Result →
72
58
4
30
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | KUDUS Merhawi | 58 |
| 6 | GIRDLESTONE Dylan | 66 |
| 7 | NIYONSHUTI Adrien | 63 |
| 19 | DAVEL WARD Shaun | 72 |
| 20 | AMANUEL Meron | 63 |
| 23 | EYOB Metkel | 61 |
| 30 | KANGANGI Suleiman | 64 |