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 = 0.3 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WHITCHER Jamie | 71 |
| 2 | RAGILO Frank Aron | 70 |
| 3 | PLACE Maxence | 58 |
| 4 | LEONARD Michael | 60 |
| 5 | ISIDORE Noa | 67 |
| 6 | VAN DER MEULEN Max | 67 |
| 8 | STOLIĆ Mihajlo | 73 |
| 12 | DUBA Maxime | 85 |
| 19 | DE CLERCK Niels | 64 |
| 20 | ABMA Elmar | 86 |
| 26 | BOLLE Bert | 62 |
| 36 | BRUUN VAN DEURS Hugo | 74 |