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 - 16
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POTOČKI Viktor | 58 |
| 4 | VAN ENGELEN Adne | 51 |
| 10 | PICIU Mattew-Denis | 64 |
| 11 | SELIMOVIĆ Husein | 84 |
| 12 | ŠPOLJAR Jaka | 73 |
| 13 | CROSS Eugene | 65 |
| 14 | ZIHERL Luka | 74 |
| 17 | GULD Daniel | 67 |
| 18 | HOPKINS Dylan | 74 |
| 20 | VĂIDIAN Iustin-Ioan | 67 |
| 22 | KARIĆ Vedad | 78 |
| 23 | DOYLE Leo | 69 |
| 25 | DYANKOV Nikolay | 61 |
| 29 | BARAĆ Antonio | 73 |
| 31 | MAČEK Matic | 73 |
| 33 | CVJETIČANIN Maks | 75 |
| 34 | KRALJ Fabijan | 68 |