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 = -0.6 * weight + 48
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Davel Ward
1
72 kgGirdlestone
2
66 kgKudus
3
58 kgNiyonshuti
6
63 kgAmanuel
14
63 kgEyob
17
61 kgKangangi
44
64 kg
1
72 kgGirdlestone
2
66 kgKudus
3
58 kgNiyonshuti
6
63 kgAmanuel
14
63 kgEyob
17
61 kgKangangi
44
64 kg
Weight (KG) →
Result →
72
58
1
44
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DAVEL WARD Shaun | 72 |
| 2 | GIRDLESTONE Dylan | 66 |
| 3 | KUDUS Merhawi | 58 |
| 6 | NIYONSHUTI Adrien | 63 |
| 14 | AMANUEL Meron | 63 |
| 17 | EYOB Metkel | 61 |
| 44 | KANGANGI Suleiman | 64 |