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 - 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Kudus
2
58 kgDavel Ward
8
72 kgAmanuel
10
63 kgEyob
14
61 kgGirdlestone
15
66 kgNiyonshuti
16
63 kgKangangi
29
64 kg
2
58 kgDavel Ward
8
72 kgAmanuel
10
63 kgEyob
14
61 kgGirdlestone
15
66 kgNiyonshuti
16
63 kgKangangi
29
64 kg
Weight (KG) →
Result →
72
58
2
29
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KUDUS Merhawi | 58 |
| 8 | DAVEL WARD Shaun | 72 |
| 10 | AMANUEL Meron | 63 |
| 14 | EYOB Metkel | 61 |
| 15 | GIRDLESTONE Dylan | 66 |
| 16 | NIYONSHUTI Adrien | 63 |
| 29 | KANGANGI Suleiman | 64 |