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 = 0.7 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CARSTENSEN Lucas | 69 |
| 2 | CHAIYASOMBAT Thanakhan | 58 |
| 3 | HOLLER Nikodemus | 58 |
| 4 | VAN ENGELEN Adne | 51 |
| 6 | DE ROOIJ Jesse | 77 |
| 7 | KAGIMU Charles | 63 |
| 8 | CHAWCHIANGKWANG Peerapol | 64 |
| 10 | SIRIRONNACHAI Sarawut | 61 |
| 13 | BOONRATANATHANAKORN Turakit | 72 |
| 19 | LIPHONGYU Navuti | 61 |
| 39 | PHOUNSAVATH Ariya | 67 |
| 47 | CAMPBELL Hayden | 58 |
| 54 | BICHLMANN Daniel | 72 |
| 67 | HALSON Marcus | 67 |