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 - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Radochla
1
70 kgSiutsou
3
68 kgLanda
4
61 kgKroon
5
67 kgPineau
6
68 kgGusev
8
67 kgSütterlin
9
78 kgCoppel
10
64 kg
1
70 kgSiutsou
3
68 kgLanda
4
61 kgKroon
5
67 kgPineau
6
68 kgGusev
8
67 kgSütterlin
9
78 kgCoppel
10
64 kg
Weight (KG) →
Result →
78
61
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RADOCHLA Steffen | 70 |
| 3 | SIUTSOU Kanstantsin | 68 |
| 4 | LANDA Mikel | 61 |
| 5 | KROON Karsten | 67 |
| 6 | PINEAU Cédric | 68 |
| 8 | GUSEV Vladimir | 67 |
| 9 | SÜTTERLIN Jasha | 78 |
| 10 | COPPEL Jérôme | 64 |