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 - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DEN BERG Lars | 72 |
| 2 | BOSTOCK Matthew | 69 |
| 3 | PICOUX Maximilien | 71 |
| 4 | STEWART Mark | 70 |
| 6 | LEVASSEUR Jordan | 74 |
| 8 | HARTLEY Adam | 62 |
| 11 | KRUL Stef | 68 |
| 13 | BRAUN Julian | 76 |
| 16 | WALLS Matthew | 72 |
| 17 | HALVORSEN Kristoffer | 69 |
| 19 | HENN Luca | 64 |
| 20 | RODENBERG Frederik | 73 |
| 23 | NAKATA Takuya | 67 |
| 28 | IVERSEN Rasmus Byriel | 77 |