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 - 49
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Amanuel
1
63 kgGirdlestone
2
66 kgKudus
15
58 kgEyob
17
61 kgKangangi
28
64 kgDavel Ward
35
72 kgNiyonshuti
39
63 kg
1
63 kgGirdlestone
2
66 kgKudus
15
58 kgEyob
17
61 kgKangangi
28
64 kgDavel Ward
35
72 kgNiyonshuti
39
63 kg
Weight (KG) →
Result →
72
58
1
39
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AMANUEL Meron | 63 |
| 2 | GIRDLESTONE Dylan | 66 |
| 15 | KUDUS Merhawi | 58 |
| 17 | EYOB Metkel | 61 |
| 28 | KANGANGI Suleiman | 64 |
| 35 | DAVEL WARD Shaun | 72 |
| 39 | NIYONSHUTI Adrien | 63 |