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 = 0.5 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BUSATTO Francesco | 62 |
| 4 | CAMRDA Karel | 63 |
| 5 | HESSMANN Michel | 78 |
| 6 | KOCKELMANN Mathieu | 70 |
| 9 | VYSOČAN Daniel | 71 |
| 10 | PŘIDAL Tomáš | 66 |
| 11 | ŘEHA Filip | 72 |
| 13 | LÜHRS Luis-Joe | 66 |
| 17 | WILKSCH Hannes | 62 |
| 19 | LAMPERTI Luke | 74 |
| 22 | FREDHEIM Stian | 72 |
| 26 | FRETIN Milan | 70 |
| 27 | THORNLEY Callum | 76 |