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 = 0.3 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Kudus
2
58 kgAmanuel
4
63 kgGirdlestone
8
66 kgDavel Ward
11
72 kgNiyonshuti
13
63 kgEyob
18
61 kgKangangi
32
64 kg
2
58 kgAmanuel
4
63 kgGirdlestone
8
66 kgDavel Ward
11
72 kgNiyonshuti
13
63 kgEyob
18
61 kgKangangi
32
64 kg
Weight (KG) →
Result →
72
58
2
32
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KUDUS Merhawi | 58 |
| 4 | AMANUEL Meron | 63 |
| 8 | GIRDLESTONE Dylan | 66 |
| 11 | DAVEL WARD Shaun | 72 |
| 13 | NIYONSHUTI Adrien | 63 |
| 18 | EYOB Metkel | 61 |
| 32 | KANGANGI Suleiman | 64 |