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 + 38
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Amanuel
1
63 kgKudus
10
58 kgDavel Ward
16
72 kgGirdlestone
19
66 kgKangangi
26
64 kgNiyonshuti
31
63 kgEyob
42
61 kg
1
63 kgKudus
10
58 kgDavel Ward
16
72 kgGirdlestone
19
66 kgKangangi
26
64 kgNiyonshuti
31
63 kgEyob
42
61 kg
Weight (KG) →
Result →
72
58
1
42
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AMANUEL Meron | 63 |
| 10 | KUDUS Merhawi | 58 |
| 16 | DAVEL WARD Shaun | 72 |
| 19 | GIRDLESTONE Dylan | 66 |
| 26 | KANGANGI Suleiman | 64 |
| 31 | NIYONSHUTI Adrien | 63 |
| 42 | EYOB Metkel | 61 |