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 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARECZKO Jakub | 67 |
| 2 | LAAS Martin | 76 |
| 3 | PAGE Dylan | 64 |
| 4 | FREIBERG Michael | 82 |
| 5 | ABERASTURI Jon | 69 |
| 7 | LIEPIŅŠ Emīls | 67 |
| 12 | BUTS Vitaliy | 68 |
| 14 | BARBIN Enrico | 60 |
| 15 | ARISTI Mikel | 72 |
| 16 | ZHUPA Eugert | 78 |
| 17 | SIMION Paolo | 79 |
| 18 | BENHAMOUDA Mehdi | 64 |
| 19 | HILL Benjamin | 67 |
| 22 | MEILER Martin | 65 |
| 23 | MAESTRI Mirco | 73 |
| 24 | STANNARD Robert | 74 |