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 = 0.8 * weight - 28
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KÖNIG Leopold | 62 |
| 8 | BRONIŠ Roman | 74 |
| 11 | ŠTYBAR Zdeněk | 68 |
| 13 | FRIEDEMANN Matthias | 75 |
| 14 | JOVANOVIĆ Nebojša | 60 |
| 15 | PAUWELS Kevin | 60 |
| 18 | PETRUŠ Lubomir | 58 |
| 19 | HNÍK Karel | 57 |
| 23 | NAGY Robert | 52 |
| 27 | STÖHR Pavel | 66 |
| 29 | BENČÍK Petr | 73 |
| 30 | MAMOS Philipp | 72 |
| 45 | MAHĎAR Martin | 61 |
| 46 | BAESTAENS Vincent | 68 |
| 54 | KROTKÝ Rostislav | 73 |
| 57 | KAŇKOVSKÝ Alois | 83 |