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 = -0.5 * weight + 53
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DUPONT Timothy | 72 |
| 2 | CARDIS Romain | 72 |
| 3 | ALAFACI Eugenio | 77 |
| 4 | ARIESEN Johim | 70 |
| 5 | VAN LERBERGHE Bert | 83 |
| 6 | BENFATTO Marco | 71 |
| 9 | BREEN Vegard | 74 |
| 10 | YSSAAD Yannis | 69 |
| 11 | NIKOLAEV Sergey | 66 |
| 14 | SARREAU Marc | 76 |
| 21 | HOLLER Nikodemus | 58 |
| 22 | DRAPERI Matteo | 70 |
| 24 | CHAIGNEAU Robin | 80 |
| 28 | BOUDAT Thomas | 70 |
| 31 | KLOSTERGAARD Kasper | 69 |
| 32 | NORTHEY Michael James | 69 |