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 = 1.6 * weight - 48
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | BICHOT Freddy | 67 |
| 9 | HEGREBERG Morten | 72 |
| 11 | ROBERTS Luke | 71 |
| 14 | LJUNGBLAD Jonas | 70 |
| 38 | RASCH Gabriel | 72 |
| 59 | GERRANS Simon | 62 |
| 66 | CHARPENTEAU Yohann | 68 |
| 72 | VEIKKANEN Jussi | 66 |
| 74 | TAMOURIDIS Ioannis | 70 |
| 85 | MAASIKMETS Alges | 67 |
| 92 | KODANIPORK Raido | 69 |
| 94 | KAGGESTAD Mads | 66 |
| 111 | BLANNIN Patrick | 65 |
| 152 | OJAVEE Mart | 80 |