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 = -6.7 * weight + 1206
This means that on average for every extra kilogram weight a rider loses -6.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | VAN DER POEL Adrie | 70 |
| 5 | BOMANS Carlo | 74 |
| 6 | DE WILDE Etienne | 70 |
| 9 | TCHMIL Andrei | 75 |
| 990 | YATES Sean | 74 |
| 990 | ANDREU Frankie | 77 |
| 990 | MADOUAS Laurent | 70 |
| 990 | BÖLTS Udo | 73 |
| 990 | SUNDERLAND Scott | 65 |
| 990 | BROCHARD Laurent | 68 |
| 990 | ARMSTRONG Lance | 72 |
| 990 | HARMELING Rob | 76 |
| 990 | ROCHE Stephen | 74 |
| 990 | EARLEY Martin | 62 |
| 990 | KELLY Sean | 77 |