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 = 0.9 * weight - 28
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TANOVIȚCHII Nicolae | 73 |
| 6 | MAGER Christian | 60 |
| 7 | VERMEULEN Moran | 67 |
| 9 | RAILEANU Cristian | 63 |
| 18 | PÖLL Stefan | 60 |
| 20 | BUDYAK Anatoliy | 53 |
| 21 | KLISURIĆ Stevan | 70 |
| 22 | JOVANOVIĆ Nebojša | 60 |
| 23 | VALTER Attila | 65 |
| 37 | FILUTÁS Viktor | 68 |
| 49 | OCHSENHOFER Peter | 88 |
| 58 | SZARKA Gergely | 67 |
| 61 | PÁPAI Ádám | 76 |
| 66 | HOPFGARTNER Paul | 63 |
| 70 | ILIĆ Ognjen | 86 |
| 81 | HORVATH Roland | 60 |