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 + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Kudus
1
58 kgDavel Ward
2
72 kgGirdlestone
4
66 kgAmanuel
6
63 kgEyob
12
61 kgNiyonshuti
18
63 kgKangangi
40
64 kg
1
58 kgDavel Ward
2
72 kgGirdlestone
4
66 kgAmanuel
6
63 kgEyob
12
61 kgNiyonshuti
18
63 kgKangangi
40
64 kg
Weight (KG) →
Result →
72
58
1
40
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KUDUS Merhawi | 58 |
| 2 | DAVEL WARD Shaun | 72 |
| 4 | GIRDLESTONE Dylan | 66 |
| 6 | AMANUEL Meron | 63 |
| 12 | EYOB Metkel | 61 |
| 18 | NIYONSHUTI Adrien | 63 |
| 40 | KANGANGI Suleiman | 64 |