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 = 3.2 * weight - 168
This means that on average for every extra kilogram weight a rider loses 3.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 9 | SCHEPERS Eddy | 60 |
| 14 | MUJIKA Jokin | 73 |
| 19 | EARLEY Martin | 62 |
| 20 | HERRERA Luis Alberto | 57 |
| 26 | CHIAPPUCCI Claudio | 67 |
| 53 | WELTZ Johnny | 65 |
| 56 | DOMÍNGUEZ Manuel Jorge | 67 |
| 71 | YATES Sean | 74 |
| 76 | ELLIOTT Malcolm | 76 |
| 86 | VILAMAJO Jaime | 70 |
| 95 | PEETERS Wilfried | 76 |
| 113 | ILEGEMS Roger | 74 |
| 114 | NAVARRO Francisco | 77 |