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 = 0.2 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ALBLOOSHI Rashid | 60 |
| 4 | PELLAUD Simon | 70 |
| 5 | QUARTUCCI Lorenzo | 64 |
| 6 | BURNETT Josh | 73 |
| 7 | DE COMARMOND Aurelien | 66 |
| 8 | APARICIO Mario | 69 |
| 10 | VAN ENGELEN Adne | 51 |
| 11 | BERHANE Natnael | 66 |
| 13 | SAINBAYAR Jambaljamts | 60 |
| 15 | MARIVOET Duarte | 59 |
| 18 | KHAFI Oussama | 65 |
| 19 | ALMUTAIWEI Mohammad | 74 |
| 20 | BEZZA Quentin | 76 |