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 = -52.5 * weight + 4171
This means that on average for every extra kilogram weight a rider loses -52.5 positions in the result.
Mahorič
1
68 kgMiholjević
3
68 kgSapa
7
82 kgRatti
990
64 kgMoos
990
64 kgPaolini
990
66 kgWalton
990
68 kg
1
68 kgMiholjević
3
68 kgSapa
7
82 kgRatti
990
64 kgMoos
990
64 kgPaolini
990
66 kgWalton
990
68 kg
Weight (KG) →
Result →
82
64
1
990
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAHORIČ Mitja | 68 |
| 3 | MIHOLJEVIĆ Vladimir | 68 |
| 7 | SAPA Marcin | 82 |
| 990 | RATTI Eddy | 64 |
| 990 | MOOS Alexandre | 64 |
| 990 | PAOLINI Luca | 66 |
| 990 | WALTON Brian | 68 |