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 = 0.3 * weight - 7
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CARSTENSEN Lucas | 69 |
| 3 | SIRIRONNACHAI Sarawut | 61 |
| 4 | CAHYADI Aiman | 52 |
| 5 | LAKASEK Irwandie | 71 |
| 7 | SEXTON Tom | 71 |
| 10 | CHAWCHIANGKWANG Peerapol | 64 |
| 11 | VAN ENGELEN Adne | 51 |
| 12 | CHAIYASOMBAT Thanakhan | 58 |
| 16 | BUDYAK Anatoliy | 53 |
| 17 | KERGOZOU DE LA BOESSIERE Nick | 74 |
| 21 | DE ROSSI Lucas | 70 |
| 24 | CLARK Boris | 68 |
| 40 | OTHMAN Muhamad Afiq Husaine | 57 |
| 41 | TZORTZAKIS Polychronis | 80 |