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 = 0.6 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LEMUS Luis | 61 |
| 5 | DANIEL Gregory | 64 |
| 6 | KUSS Sepp | 61 |
| 7 | BEYER Chad | 63 |
| 8 | POWLESS Neilson | 67 |
| 9 | ANDERSON Ryan | 66 |
| 10 | HOULE Hugo | 72 |
| 11 | VANDALE Danick | 63 |
| 13 | BUTLER Chris | 61 |
| 14 | MORTON Lachlan | 62 |
| 16 | RATHE Jacob | 74 |
| 17 | RÄIM Mihkel | 69 |
| 18 | OWEN Logan | 67 |
| 19 | CRAVEN Dan | 75 |
| 21 | DAL-CIN Matteo | 77 |
| 23 | TUREK Daniel | 72 |
| 24 | BARTA Will | 61 |
| 26 | MILÁN Diego | 67 |