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 = -0.1 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BALLERINI Franco | 78 |
| 6 | VAN DER POEL Adrie | 70 |
| 7 | BAUER Steve | 72 |
| 23 | NIJDAM Jelle | 70 |
| 26 | LILHOLT Søren | 72 |
| 31 | TAFI Andrea | 73 |
| 35 | SUNDERLAND Scott | 65 |
| 36 | MARTINELLO Silvio | 71 |
| 38 | TCHMIL Andrei | 75 |
| 40 | CAPELLE Christophe | 73 |
| 42 | BAFFI Adriano | 70 |
| 44 | BORTOLAMI Gianluca | 73 |
| 46 | VANZELLA Flavio | 78 |
| 48 | VEENSTRA Wiebren | 70 |
| 50 | LEYSEN Bart | 75 |