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 = -0.4 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Kudus
1
58 kgDavel Ward
3
72 kgGirdlestone
7
66 kgNiyonshuti
10
63 kgAmanuel
12
63 kgEyob
24
61 kgKangangi
25
64 kg
1
58 kgDavel Ward
3
72 kgGirdlestone
7
66 kgNiyonshuti
10
63 kgAmanuel
12
63 kgEyob
24
61 kgKangangi
25
64 kg
Weight (KG) →
Result →
72
58
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KUDUS Merhawi | 58 |
| 3 | DAVEL WARD Shaun | 72 |
| 7 | GIRDLESTONE Dylan | 66 |
| 10 | NIYONSHUTI Adrien | 63 |
| 12 | AMANUEL Meron | 63 |
| 24 | EYOB Metkel | 61 |
| 25 | KANGANGI Suleiman | 64 |