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 = 0.6 * weight - 21
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TAARAMÄE Rein | 73 |
| 5 | MAHORIČ Mitja | 68 |
| 6 | FIRSANOV Sergey | 58 |
| 7 | MARTIN Tony | 75 |
| 8 | RASCH Gabriel | 72 |
| 9 | COPPEL Jérôme | 64 |
| 14 | FRITSCH Nicolas | 65 |
| 17 | KANGERT Tanel | 65 |
| 18 | GRETSCH Patrick | 69 |
| 19 | HERMANS Ben | 72 |
| 20 | OFFREDO Yoann | 69 |
| 22 | BENČÍK Petr | 73 |
| 24 | KVASINA Matija | 72 |
| 27 | DIDIER Laurent | 68 |
| 30 | FEILLU Brice | 69 |
| 31 | VILLA Romain | 71 |
| 32 | ROUX Anthony | 73 |