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 + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CARSTENSEN Lucas | 69 |
| 5 | LAKASEK Irwandie | 71 |
| 7 | SIRIRONNACHAI Sarawut | 61 |
| 8 | CAHYADI Aiman | 52 |
| 10 | SEXTON Tom | 71 |
| 12 | KERGOZOU DE LA BOESSIERE Nick | 74 |
| 13 | DE ROSSI Lucas | 70 |
| 17 | CHAIYASOMBAT Thanakhan | 58 |
| 18 | OTHMAN Muhamad Afiq Husaine | 57 |