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 - 35
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Girdlestone
4
66 kgKudus
8
58 kgEyob
11
61 kgNiyonshuti
19
63 kgKangangi
23
64 kgDavel Ward
25
72 kgAmanuel
31
63 kg
4
66 kgKudus
8
58 kgEyob
11
61 kgNiyonshuti
19
63 kgKangangi
23
64 kgDavel Ward
25
72 kgAmanuel
31
63 kg
Weight (KG) →
Result →
72
58
4
31
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | GIRDLESTONE Dylan | 66 |
| 8 | KUDUS Merhawi | 58 |
| 11 | EYOB Metkel | 61 |
| 19 | NIYONSHUTI Adrien | 63 |
| 23 | KANGANGI Suleiman | 64 |
| 25 | DAVEL WARD Shaun | 72 |
| 31 | AMANUEL Meron | 63 |