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 = -0.2 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Girdlestone
2
66 kgKudus
6
58 kgNiyonshuti
9
63 kgDavel Ward
11
72 kgEyob
19
61 kgKangangi
21
64 kgAmanuel
22
63 kg
2
66 kgKudus
6
58 kgNiyonshuti
9
63 kgDavel Ward
11
72 kgEyob
19
61 kgKangangi
21
64 kgAmanuel
22
63 kg
Weight (KG) →
Result →
72
58
2
22
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GIRDLESTONE Dylan | 66 |
| 6 | KUDUS Merhawi | 58 |
| 9 | NIYONSHUTI Adrien | 63 |
| 11 | DAVEL WARD Shaun | 72 |
| 19 | EYOB Metkel | 61 |
| 21 | KANGANGI Suleiman | 64 |
| 22 | AMANUEL Meron | 63 |