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 = -1.1 * weight + 85
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Davel Ward
2
72 kgAmanuel
4
63 kgGirdlestone
5
66 kgKudus
6
58 kgNiyonshuti
11
63 kgKangangi
33
64 kgEyob
39
61 kg
2
72 kgAmanuel
4
63 kgGirdlestone
5
66 kgKudus
6
58 kgNiyonshuti
11
63 kgKangangi
33
64 kgEyob
39
61 kg
Weight (KG) →
Result →
72
58
2
39
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DAVEL WARD Shaun | 72 |
| 4 | AMANUEL Meron | 63 |
| 5 | GIRDLESTONE Dylan | 66 |
| 6 | KUDUS Merhawi | 58 |
| 11 | NIYONSHUTI Adrien | 63 |
| 33 | KANGANGI Suleiman | 64 |
| 39 | EYOB Metkel | 61 |