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 = 0.1 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Dyball
3
63 kgDebesay
5
63 kgStöhr
6
72 kgMazuki
9
57 kgPavlič
10
65 kgOkamoto
12
65 kgde Jonge
13
65 kgVolkers
14
67 kg
3
63 kgDebesay
5
63 kgStöhr
6
72 kgMazuki
9
57 kgPavlič
10
65 kgOkamoto
12
65 kgde Jonge
13
65 kgVolkers
14
67 kg
Weight (KG) →
Result →
72
57
3
14
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DYBALL Benjamin | 63 |
| 5 | DEBESAY Yakob | 63 |
| 6 | STÖHR Ján | 72 |
| 9 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 10 | PAVLIČ Marko | 65 |
| 12 | OKAMOTO Hayato | 65 |
| 13 | DE JONGE Maarten | 65 |
| 14 | VOLKERS Samuel | 67 |