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 = 0.1 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CLARKE Jonathan | 68 |
| 3 | BRAMMEIER Matt | 72 |
| 4 | GOH Choon Huat | 54 |
| 5 | GUARDINI Andrea | 66 |
| 7 | VAN HUMMEL Kenny | 64 |
| 8 | KOLÁŘ Michael | 90 |
| 11 | KRUOPIS Aidis | 80 |
| 12 | PORSEV Alexander | 80 |
| 13 | FUKUDA Shinpei | 70 |
| 14 | MARTINEZ Yannick | 69 |
| 15 | SOHRABI Mehdi | 69 |