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 + 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SIRIRONNACHAI Sarawut | 61 |
| 3 | HOLLER Nikodemus | 58 |
| 4 | CHAWCHIANGKWANG Peerapol | 64 |
| 5 | VAN ENGELEN Adne | 51 |
| 6 | PHOUNSAVATH Ariya | 67 |
| 8 | BOONRATANATHANAKORN Turakit | 72 |
| 16 | CARSTENSEN Lucas | 69 |
| 21 | DE ROOIJ Jesse | 77 |
| 22 | CHAIYASOMBAT Thanakhan | 58 |
| 29 | HALSON Marcus | 67 |
| 33 | LIPHONGYU Navuti | 61 |
| 36 | BICHLMANN Daniel | 72 |
| 42 | KAGIMU Charles | 63 |
| 44 | CAMPBELL Hayden | 58 |