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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | YATES Sean | 74 |
| 2 | KELLY Sean | 77 |
| 3 | VAN DER POEL Adrie | 70 |
| 4 | MUSEEUW Johan | 71 |
| 5 | BÖLTS Udo | 73 |
| 10 | EARLEY Martin | 62 |
| 12 | EKIMOV Viatcheslav | 69 |
| 13 | MADIOT Marc | 68 |
| 15 | ROCHE Stephen | 74 |
| 17 | HAMBURGER Bo | 58 |
| 18 | PEETERS Wilfried | 76 |
| 19 | ANDREU Frankie | 77 |