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 + 25
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POTOČKI Viktor | 58 |
| 2 | ĐURIĆ Đorđe | 79 |
| 5 | CROSS Eugene | 65 |
| 7 | SELIMOVIĆ Husein | 84 |
| 8 | ŠPOLJAR Jaka | 73 |
| 11 | ZIHERL Luka | 74 |
| 13 | GULD Daniel | 67 |
| 17 | VĂIDIAN Iustin-Ioan | 67 |
| 20 | PICIU Mattew-Denis | 64 |
| 23 | VAN ENGELEN Adne | 51 |
| 25 | MAČEK Matic | 73 |
| 26 | BARAĆ Antonio | 73 |
| 27 | HOPKINS Dylan | 74 |
| 28 | DOYLE Leo | 69 |